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A holistic review on the assessment of groundwater quality using multivariate statistical techniques

  • Review Article
  • Published: 06 July 2023
  • Volume 30 , pages 85046–85070, ( 2023 )

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thesis on groundwater quality assessment pdf

  • Praharsh S. Patel 1   na1 ,
  • Dishant M. Pandya 1   na1 &
  • Manan Shah 2   na1  

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Water is an essential element in nature. It is used in drinking, irrigation, and industry mainly. Human health is directly linked to groundwater quality and is affected by poor groundwater quality caused by excessive fertilizer application and unhygienic circumstances. Because of increased pollution, investigating the water quality became a point of research for many researchers. There are numerous approaches to assessing water quality, and statistical methods are essential among them. This review paper discusses Multivariate Statistical Techniques, including Cluster Analysis, Principal Component Analysis, Factor Analysis, Geographical Information System, and Analysis of Variance, to name a few. We have presented the significance of each method concisely and how it is being used. In addition, an extensive table is prepared to demonstrate the individual technique along with the computational tool, the type of water bodies, and their respective regions. The advantages and disadvantages of the statistical techniques are also discussed therein. It is found that Principal Component Analysis and Factor Analysis are widely explored techniques.

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Multivariate statistical approaches to identify the major factors governing groundwater quality

thesis on groundwater quality assessment pdf

Groundwater Quality Assessment Using Principal Component and Cluster Analysis

thesis on groundwater quality assessment pdf

Monitoring groundwater quality using principal component analysis

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Abbasnia A, Radfard M, Mahvi AH, Nabizadeh R, Yousefi M, Soleimani H, Alimohammadi M (2018) Groundwater quality assessment for irrigation purposes based on irrigation water quality index and its zoning with gis in the villages of chabahar, sistan and baluchistan, iran. Data in brief. 19:623–631

Article   Google Scholar  

Abdi, H. & Williams, L.J. (2010, July). Principal component analysis: Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics. 2(4), 433-459. https://doi.org/10.1002/wics.101

Adimalla, N., Manne, R., Zhang, Y., Xu, P. & Qian, H. (2022). Evaluation of groundwater quality and its suitability for drinking purposes in semi-arid region of southern india: An application of gis. Geocarto International. 1–12

Agency, U.E.P. (2012). Edition of the drinking water standards and health advisories epa 822-s-12001 office of water us environmental protection agency washington dc. 20

Aksever, F., Davraz, A. & Bal, Y. (2016, December). Assessment of water quality for drinking and irrigation purposes: a case study of Başköy springs (Aǧlasun/Burdur/Turkey). Arabian Journal of Geosciences. 9(20), 748. https://doi.org/10.1007/s12517-016-2778-y

Akujieze, C.N., Coker, S. & Oteze, G. (2003, April). Groundwater in Nigeria - a millennium experience - distribution, practice, problems and solutions. Hydrogeology Journal. 11(2)259-274. Retrieved 2022-03-29, http://link.springer.com/10.1007/s10040-002-0227-3 https://doi.org/10.1007/s10040-002-0227-3

Alberto, W.D., del Pilar, D.M., Valeria, A.M., Fabiana, P.S., Cecilia, H.A. & de Los Ángeles, B.M. (2001). Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suquıá river basin (córdoba–argentina). Water research. 35(12), 2881-2894

Amiri V, Rezaei M, Sohrabi N (2014) Groundwater quality assessment using entropy weighted water quality index (ewqi) in lenjanat, iran. Environmental Earth Sciences. 72(9):3479–3490

Article   CAS   Google Scholar  

Amrani S, Hinaje S, El Fartati M, Gharmane Y, Yaagoub D (2022) Assessment of groundwater quality for drinking and irrigation in the timahdite-almis guigou area (middle atlas, morocco). Applied Water Science. 12(4):82

APHA (1995). Standard methods for the examination of water and wastewater, 19 \(^{th}\) edition, washington, dc. American Public Health Association

APHA (2012). Standard methods for the examination of water and wastewater, 22 \(^{nd}\) edition (Vol. 6). American Public Health Association

APHA (2017). Standard methods for the examination of water and wastewater, 23 \(^{rd}\) edition. American Public Health Association

Ashley, R.P., & Lloyd, J.W. (1978). An example of the use of factor analysis and cluster analysis in groundwater chemistry interpretations. Factor analysis. 10

Awasthi A, Rishi MS, Khosla A, Panjgotra S (2023) Geographic information system-based groundwater quality assessment for drinking and irrigation purposes in transboundary aquifers of river ravi, india. Environmental Science and Pollution Research. 30(12):34536–34552

Awasthi, A., Rishi, M.S. & Panjgotra, S. (2021). Groundwater quality assessment for drinking and industrial purposes in transboundary aquifers of gurdaspur district, punjab, india. International Journal of Environmental Analytical Chemistry. 1–15

Babanezhad, E., Qaderi, F. & Salehi Ziri, M. (2018, May). Spatial modeling of groundwater quality based on using Schoeller diagram in GIS base: a case study of Khorramabad, Iran. Environmental Earth Sciences. 77(9), 339. Retrieved 2022-09-10, from http://link.springer.com/10.1007/s12665-018-7541-0 https://doi.org/10.1007/s12665-018-7541-0

Banerji S, Mitra D (2019) Geographical information system-based groundwater quality index assessment of northern part of kolkata, india for drinking purpose. Geocarto International. 34(9):943–958

Barkat A, Bouaicha F, Bouteraa O, Mester T, Ata B, Balla D, Szabó G (2021) Assessment of complex terminal groundwater aquifer for different use of oued souf valley (algeria) using multivariate statistical methods, geostatistical modeling, and water quality index. Water. 13(11):1609

Barkat A, Foued B, Bouteraa O, Mester T, Ata B, Balla D, Szabó G (2022) Assessment of spatial distribution and temporal variations of the phreatic groundwater level using geostatistical modelling: The case of oued souf valley-southern east of algeria. Water. 14(9):1415

Barzegar, R., Asghari Moghaddam, A. & Tziritis, E. (2016, December). Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran. Environmental Earth Sciences. 75(23), 1486. https://doi.org/10.1007/s12665-016-6302-1

Bhuiyan MAH, Bodrud-Doza M, Towfiqul Islam ARM, Rakib MA, Rahman MS, Ramanathan AL (2016) Assessment of groundwater quality of lakshmipur district of bangladesh using water quality indices, geostatistical methods, and multivariate analysis. Environmentaal Earth Sciences. 75:1–23. https://doi.org/10.1007/s12665-016-5823-y

Bodrud-Doza M, Islam AT, Ahmed F, Das S, Saha N, Rahman MS (2016) Characterization of groundwater quality using water evaluation indices, multivariate statistics and geostatistics in central bangladesh. Water science. 30(1):19–40

Bollinger, J.E., Steinberg, L.J., Harrison, M.J., Crews, J.P., Englande, A.J., Velasco-Gonzales, C. & George, W.J. (1999, August). Comparative analysis of nutrient data in the lower Mississippi River. Water Research. 33(11), 2627-2632. Retrieved 2022-03-29, https://linkinghub.elsevier.com/retrieve/pii/S0043135499001177 https://doi.org/10.1016/S0043-1354(99)00117-7

Bouaicha F, Dib H, Bouteraa O, Manchar N, Boufaa K, Chabour N, Demdoum A (2019) Geochemical assessment, mixing behavior and environmental impact of thermal waters in the guelma geothermal system, algeria. Acta Geochimica. 38:683–702

Bouteraa O, Mebarki A, Bouaicha F, Nouaceur Z, Laignel B (2019) Groundwater quality assessment using multivariate analysis, geostatistical modeling, and water quality index (wqi): a case of study in the boumerzoug-el khroub valley of northeast algeria. Acta Geochimica. 38:796–814

Brahman, K.D., Kazi, T.G., Afridi, H.I., Naseem, S., Arain, S.S. & Ullah, N. (2013, March). Evaluation of high levels of fluoride, arsenic species and other physicochemical parameters in underground water of two sub districts of Tharparkar, Pakistan: A multivariate study. Water Research. 47(3), 1005-1020. https://doi.org/10.1016/j.watres.2012.10.042

Chapagain SK, Pandey VP, Shrestha S, Nakamura T, Kazama F (2010) Assessment of deep groundwater quality in kathmandu valley using multivariate statistical techniques. Water, Air, & Soil Pollution. 210(1):277–288

Chapman, D. (1996). On the behalf of unesco, who. uxep. water quality assessments a guide to use biota, sediments and water in environmental monitoring - second edition. F & FN Spon London. Chapter 9

Child D (2006) The essentials of factor analysis. 3nd, edn. Bloomsbury Academic, London

Google Scholar  

Choudhury M, Alomgir M, Rahman MA, Monir MU, Biswas BK, Khan AS (2023) Appraisal of groundwater quality and human health risk for water security and health safety assurance in southwest coastal zone of bangladesh. Groundwater for Sustainable Development. 21:100919

Cloutier V, Lefebvre R, Therrien R, Savard MM (2008) Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system. Journal of Hydrology. 353(3–4):294–313

Cox DR (1957) Note on grouping. Journal of the American Statistical Association. 52(280):543–547

Dangar, S., Asoka, A. & Mishra, V. (2021, May). Causes and implications of groundwater depletion in India: A review. Journal of Hydrology. 596, 126103. https://doi.org/10.1016/j.jhydrol.2021.126103

Das CR, Das S, Panda S (2022) Groundwater quality monitoring by correlation, regression and hierarchical clustering analyses using wqi and past tools. Groundwater for Sustainable Development. 16:100708

Davis, J.C. & Sampson, R.J. (1986). Statistics and data analysis in geology (Vol. 646). Wiley New York

Dawood, A.S., Jabbar, M.T., Al-Tameemi, H.H. & Baer, E.M. (2022). Application of water quality index and multivariate statistical techniques to assess and predict of groundwater quality with aid of geographic information system. Journal of Ecological Engineering. 23(6)

Dawoud MA, Darwish MM, El-Kady MM (2005) Gis-based groundwater management model for western nile delta. Water Resources Management. 19(5):585–604

Dawoud, M.A. & Raouf, A.R.A. (2009, February). Groundwater Exploration and Assessment in Rural Communities of Yobe State, Northern Nigeria. Water Resources Management. 23(3), 581-601. Retrieved 2022-03-11, http://link.springer.com/10.1007/s11269-008-9289-x https://doi.org/10.1007/s11269-008-9289-x

Deshpande SM, Shinde PD, Aher KR (2020) Groundwater Quality Assessment for Drinking Purpose in Aurangabad Urban City, Maharashtra. India. 5:11

Dormann, C.F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., others (2013). Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography. 36(1), 27–46

Egbueri, J.C. (2020). Groundwater quality assessment using pollution index of groundwater (PIG), ecological risk index (ERI) and hierarchical cluster analysis (HCA): A case study. Groundwater for sustainable development. 10. DOI: https://doi.org/10.1016/j.gsd.2019.100292

El Osta, M., Masoud, M. & Ezzeldin, H. (2020). Assessment of the geochemical evolution of groundwater quality near the el kharga oasis, egypt using netpath and water quality indices. Environmental Earth Sciences. 79(2). http://www.scopus.com

Eltarabily, M.G. & Moghazy, H.E.M. (2021). Gis-based evaluation and statistical determination of groundwater geochemistry for potential irrigation use in el moghra, egypt. Environmental monitoring and assessment. 193(5). http://www.scopus.com

Elumalai, V., Nethononda, V.G., Manivannan, V., Rajmohan, N., Li, P. & Elango, L. (2020, November). Groundwater quality assessment and application of multivariate statistical analysis in Luvuvhu catchment, Limpopo, South Africa. Journal of African Earth Sciences. 171, 103967. https://doi.org/10.1016/j.jafrearsci.2020.103967

Escobar, F., Hunter, G., Bishop, I. & Zerger, A. (2008). Introduction to gis. Department of Geomatics, The University of Melbourne, Available online at: http://www.sli.unimelb.edu.au/gisweb/ . (Accessed 02 April 2008)

Ferhati, A., Mitiche-Kettab, R., Belazreg, N.E.H, Khodja, H.D., Djerbouai, S., Hasbaia, M. (2023). Hydrochemical analysis of groundwater quality in central hodna basin, algeria: a case study. International Journal of Hydrology Science and Technology 15(1):22-39

Fisher, R.A. & Mackenzie, W.A. (1923). Studies in crop variation. ii. the manurial response of different potato varieties. The Journal of Agricultural Science. 13(3), 311-320

Fisher WD (1958) On grouping for maximum homogeneity. Journal of the American statistical Association. 53(284):789–798

Gaikwad SK, Kadam AK, Ramgir RR, Kashikar AS, Wagh VM, Kandekar AM, Kamble KD (2020) Assessment of the groundwater geochemistry from a part of west coast of india using statistical methods and water quality index. HydroResearch. 3:48–60

George S, Kumar PPA (2022) Indicator-based assessment of capacity development for disaster preparedness in the indian context. Environment Systems and Decisions. 42(3):417–435

George E. P., B., J. S., H. & W. G., H. (1978). Statistics for experiments. design, expriments, and discovery. Wiley

Ghaib M, Mhamdi A, Gouasmia M, Delvaux D, Moumni L, Soussi M (2023) Hydro-chemical and geophysical studies of salinization of the pliocene-quaternary aquifer in the zone of el berka, moulares-redayef mining region, southwest tunisia. Arabian Journal of Geosciences. 16(4):264

Gheith H, Sultan M (2002) Construction of a hydrologic model for estimating wadi runoff and groundwater recharge in the eastern desert, egypt. Journal of Hydrology. 263(1–4):36–55

Giao NT, Nhien HTH, Anh PK, Thuptimdang P (2023) Groundwater quality assessment for drinking purposes: a case study in the mekong delta, vietnam. Scientific Reports. 13(1):4380

Girden, E.R. (1992). Anova: Repeated measures (No. 84). sage

Güler, C., Thyne, G.D., McCray, J.E. & Turner, K.A. (2002, August). Evaluation of graphical and multivariate statistical methods for classification of water chemistry data. Hydrogeology Journal. 10(4), 455-474. Retrieved 2022-03-11, http://link.springer.com/10.1007/s10040-002-0196-6 https://doi.org/10.1007/s10040-002-0196-6

Gniazdowski Z (2017) New interpretation of principal components analysis. Zeszyty Naukowe WWSI. 11(16):43–65

Gorai A, Kumar S (2013) Spatial distribution analysis of groundwater quality index using gis: a case study of ranchi municipal corporation (rmc) area. Geoinfor Geostat: An Overview 1(2):1–11

Gupta, S.C. & Kapoor, V.K. (n.d.). Fundamentals of mathematical statistics (A Modern Approach). tenth edition. Sultan Chand and Sons

Hakim, D.K., Amina, A., Amina, R., Djouhra, B. & Ahmed, F. (2022). Application of multivariate statistical methods to the hydrochemical study of groundwater quality in the sahel watershed, algeria. Journal of Ecological Engineering. 23(8)

Hasan MSU, Rai AK (2020) Groundwater quality assessment in the lower ganga basin using entropy information theory and gis. Journal of Cleaner Production. 274:123077

Heath, R.C. (1982). Basic ground-water hydrology (Vol. 2220)

Helena, B. (2000, February). Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysis. Water Research. 34(3), 807-816. https://doi.org/10.1016/S0043-1354(99)00225-0

Hem, J.D. (1985). Study and interpretation of the chemical characteristics of natural water Report No. 2254. Reston, VA: United State of Geological Survey. http://pubs.er.usgs.gov/publication/wsp2254 3rd edition https://doi.org/10.3133/wsp2254

Hilton A, Armstrong RA (2006) Statnote 6: post-hoc anova tests. Microbiologist 2006:34–36

Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. 25

Hu, K.l., Li, B.g., Lu, Y.z. & Zhang, F.r. (2004, May). [Comparison of various spatial interpolation methods for non-stationary regional soil mercury content]. Huan jing ke xue= Huanjing kexue. 25(3) 132-137. http://europepmc.org/abstract/MED/15327270

Hui, T., Jizhong, D., Shimin, M., Zhuang, K. & Yan, G. (2021, March). Application of water quality index and multivariate statistical analysis in the hydrogeochemical assessment of shallow groundwater in Hailun, northeast China. Human and Ecological Risk Assessment: An International Journal273651–667. https://doi.org/10.1080/10807039.2020.1749827

Ilayaraja K, Ambica A (2015) Spatial distribution of groundwater quality between injambakkam-thiruvanmyiur areas, south east coast of india. Nature Environment and Pollution Technology. 14(4):771

CAS   Google Scholar  

Islam AT, Shen S, Haque MA, Bodrud-Doza M, Maw K, Habib MA (2018) Assessing groundwater quality and its sustainability in joypurhat district of bangladesh using gis and multivariate statistical approaches. Environment, development and sustainability. 20:1935–1959

Izenman, A.J. (2008). Modern multivariate statistical techniques: Regression, classification, and manifold learning. springer. https://doi.org/10.1007/978-0-387-78189-1

Jiang, Y., Wu, Y., Groves, C., Yuan, D. & Kambesis, P. (2009, October). Natural and anthropogenic factors affecting the groundwater quality in the Nandong karst underground river system in Yunan, China. Journal of Contaminant Hydrology. 109(1-4), 49-61. https://doi.org/10.1016/j.jconhyd.2009.08.001

Kaiser HF (1960) The application of electronic computers to factor analysis. Educational and psychological measurement. 20(1):141–151

Kamaraj J, Sekar S, Roy PD, Senapathi V, Chung SY, Perumal M, Nath AV (2021) Groundwater pollution index (gpi) and gis-based appraisal of groundwater quality for drinking and irrigation in coastal aquifers of tiruchendur, south india. Environmental Science and Pollution Research. 28:29056–29074

Karamizadeh S, Abdullah SM, Manaf AA, Zamani M, Hooman A (2013) An overview of principal component analysis. Journal of Signal and Information Processing. 4(3B):173

Karhunen, K. (1947). Under lineare methoden in der wahr scheinlichkeitsrechnung. Annales Academiae Scientiarun Fennicae Series A1: Mathematia Physica. 47

Kazakis N, Mattas C, Pavlou A, Patrikaki O, Voudouris K (2017) Multivariate statistical analysis for the assessment of groundwater quality under different hydrogeological regimes. Environmental Earth Sciences. 76(9):1–13

Kazakis N, Pavlou A, Vargemezis G, Voudouris K, Soulios G, Pliakas F, Tsokas G (2016) Seawater intrusion mapping using electrical resistivity tomography and hydrochemical data. an application in the coastal area of eastern thermaikos gulf, greece. Science of the Total Environment. 543:373–387

Ketata M, Gueddari M, Bouhlila R (2012) Use of geographical information system and water quality index to assess groundwater quality in el khairat deep aquifer (enfidha, central east tunisia). Arabian journal of geosciences. 5:1379–1390

Khan, R. & Jhariya, D.C. (2018, April). Hydrogeochemistry and Groundwater Quality Assessment for Drinking and Irrigation Purpose of Raipur City, Chhattisgarh. Journal of the Geological Society of India. 91(4), 475-482. https://doi.org/10.1007/s12594-018-0881-2

Kumar M, Das A, Das N, Goswami R, Singh UK (2016) May). Co-occurrence perspective of arsenic and fluoride in the groundwater of Diphu, Assam. Northeastern India. Chemosphere. 150:227–238. https://doi.org/10.1016/j.chemosphere.2016.02.019

Lawley, D.N. & Maxwell, A.E. (1962). Factor analysis as a statistical method. Journal of the Royal Statistical Society. Series D (The Statistician). 12(3), 209-229

Lee HT, Chen SH, Lin JM (2006) K-means method for rough classification of r &d employees’ performance evaluation. International Transactions in Operational Research. 13(4):365–377

Liu CW, Lin KH, Kuo YM (2003) Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in taiwan. Science of the total environment. 313(1–3):77–89

Liu, X., Wang, X., Zhang, L., Fan, W., Yang, C., Li, E. & Wang, Z. (2020, January). Impact of land use on shallow groundwater quality characteristics associated with human health risks in a typical agricultural area in central china. Environmental Science and Pollution Research. 28(2), 1712-1724. https://doi.org/10.1007/s11356-020-10492-x

Lorenson, T.D., Leifer, I., Wong, F.L., Rosenbauer, R.J., Campbell, P.L., Lam, A. , ... others. (2011). Biomarker chemistry and flux quantification methods for natural petroleum seeps and produced oils, offshore southern california. US Geological Survey Scientific Investigations Report 2011-5210 and OCS Study BOEM 2011. 16, 1-45

Machiwal, D., Cloutier, V., Güler, C. & Kazakis, N. (2018, October). A review of GIS-integrated statistical techniques for groundwater quality evaluation and protection. Environmental Earth Sciences. 77(19), 681. https://doi.org/10.1007/s12665-018-7872-x

Magesh, N.S., Krishnakumar, S., Chandrasekar, N. & Soundranayagam, J.P. (2012, November). Groundwater quality assessment using WQI and GIS techniques, Dindigul district, Tamil Nadu, India. Arabian Journal of Geosciences. 6(11), 4179-4189. https://doi.org/10.1007/s12517-012-0673-8

Marko K, Al-Amri NS, Elfeki AM (2014) Geostatistical analysis using gis for mapping groundwater quality: case study in the recharge area of wadi usfan, western saudi arabia. Arabian Journal of Geosciences. 7(12):5239–5252

Masood, A., Aslam, M., Pham, Q.B., Khan, W. & Masood, S. (2021). Integrating water quality index, gis and multivariate statistical techniques towards a better understanding of drinking water quality. Environmental Science and Pollution Research. 1–17

Masoud AA (2014) July). Groundwater quality assessment of the shallow aquifers west of the Nile Delta (Egypt) using multivariate statistical and geostatistical techniques. Journal of African Earth Sciences. 95:123–137. https://doi.org/10.1016/j.jafrearsci.2014.03.006

Mattas C (2009) Hydrogeological research in gallikos river basin. PhD, School of Geology, AU TH

McKenna J Jr (2003) An enhanced cluster analysis program with bootstrap significance testing for ecological community analysis. Environmental Modelling & Software. 18:205–220. https://doi.org/10.1016/S1364-8152(02)00094-4

Meyer, B.M., Adhikari, P.L., Olson, G.M., Overton, E.B. & Miles, M.S. (2018). Louisiana coastal marsh environments and mc252 oil biomarker chemistry. Oil spill environmental forensics case studies (p. 737-756). Elsevier

Miller RG Jr (1997) Beyond anova: basics of applied statistics. CRC Press

Book   Google Scholar  

Mir A, Piri J, Kisi O (2017) April). Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics. Computers and Electronics in Agriculture. 135:38–50. https://doi.org/10.1016/j.compag.2017.01.022

Mohan SV, Nithila P, Reddy SJ (1996) Estimation of heavy metals in drinking water and development of heavy metal pollution index. Journal of Environmental Science & Health Part A. 31(2):283–289

Mohseni, U., patidar, N., Pathan, A.i., Agnihotri, P.G. & Patel, D. (2022). An innovative approach for groundwater quality assessment with the integration of various water quality indexes with gis and multivariate statistical analysis-a case of ujjain city, india. Conservation Science and Engineering. 7, 327–349. https://doi.org/10.1007/s41101-022-00145-0

Mojahedi, S.A. & Attari, J. (2009, May). A Comparative Study of Water Quality Indices for Karun River. World Environmental and Water Resources Congress 2009 (p. 1-9). Kansas City, Missouri, United StatesAmerican Society of Civil Engineers. https://doi.org/10.1061/41036(342)246

Morales M, Martı P, Llopis A, Campos L, Sagrado S (1999) An environmental study by factor analysis of surface seawaters in the gulf of valencia (western mediterranean). Analytica chimica acta. 394(1):109–117

Muzenda F, Masocha M, Misi SN (2019) Groundwater quality assessment using a water quality index and gis: a case of ushewokunze settlement, harare, zimbabwe. Physics and Chemistry of the Earth, Parts A/b/c. 112:134–140

Nasrabadi T, Abbasi Maedeh P (2013) Groundwater quality assessment in southern parts of tehran plain, iran. Environmental earth sciences. 71(5):2077–2086

Nosrati K, Van Den Eeckhaut M (2012) Assessment of groundwater quality using multivariate statistical techniques in hashtgerd plain, iran. Environmental Earth Sciences. 65(1):331–344

Nwankwoala, H., Eludoyin, O. & Obafemi, A. (2012, October). Groundwater Quality Assessment and Monitoring Using Geographic Information Systems (GIS) in Port Harcourt, Nigeria. Ethiopian Journal of Environmental Studies and Management. 5(4), 583-596. https://doi.org/10.4314/ejesm.v5i4.S19

Omo-Irabor OO, Olobaniyi SB, Oduyemi K, Akunna J (2008) Surface and groundwater water quality assessment using multivariate analytical methods: a case study of the western niger delta, nigeria. Physics and Chemistry of the Earth, Parts A/B/C. 33(8–13):666–673

Panagopoulos, G., Lambrakis, N., Tsolis-Katagas, P. & Papoulis, D. (2004, September). Cation exchange processes and human activities in unconfined aquifers. Environmental Geology. 46(5). https://doi.org/10.1007/s00254-004-1064-6

Patel PS, Pandya DM, Shah M (2022) September). A review on various mathematical techniques for groundwater quality analysis and assessment. Materials Today: Proceedings. 77:60–63. https://doi.org/10.1016/j.matpr.2022.08.456

Patel, P.S., Pandya, D.M. & Shah, M. (2023). A systematic and comparative study of water quality index (wqi) for groundwater quality analysis and assessment. Environmental Science and Pollution Research 1–21

Patrikaki, O. (2009). Hydrogeological research of potamia basin. Kozani Prefecture, in Northern Greece. Ph. D. Thesis, Department of Geology, Aristotle University of Thessaloniki, Thessaloniki, Greece. (In Greek)

Peters KE, Coutrot D, Nouvelle X, Ramos LS, Rohrback BG, Magoon LB, Zumberge JE (2013) Chemometric differentiation of crude oil families in the san joaquin basin, california. AAPG bulletin. 97(1):103–143

Peters, K.E., Peters, K.E., Walters, C.C. & Moldowan, J. (2005). The biomarker guide (Vol. 1). Cambridge university press

Peters, K.E., Peters, K.E., Walters, C.C. & Moldowan, J. (2009). Discovering statistics using SPSS: Introducing statistical method (third edition). Thousands oaks CA: SAGE publication

Peters, K.E., Ramos, L.S., Ramos, Zumberge, J.E., Valin, Z.C., Scotese, C.R. & Gautier, D.L. (2007). Circum-arctic petroleum systems identified using decision-tree chemometrics. AAPG Bulletin. 91, 877–913. DOI: https://doi.org/10.1306/12290606097

Peterson, A., Cruse, D., Naci, L., Weijer, C. & Owen, A.M. (2015). Risk, diagnostic error, and the clinical science of consciousness. NeuroImage: Clinical. 7, 588-597

Piper AM (1944) A graphic procedure in the geochemical interpretation of water-analyses. Transactions, American Geophysical Union. 25(6):914. https://doi.org/10.1029/TR025i006p00914

Pourtaghi, Z.S. & Pourghasemi, H.R. (2014, May). GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran. Hydrogeology Journal. 22(3), 643-662. Retrieved 2022-09-15, http://link.springer.com/10.1007/s10040-013-1089-6 https://doi.org/10.1007/s10040-013-1089-6

Pundir S, Kandari V, Singh P, Singh R, Siddique MA (2022) Assessment of groundwater quality of dehradun valley, uttarakhand, india, for drinking purposes using multivariate statistical techniques. Environment, Development and Sustainability, pp 1–31

Qian GQ, Gabor G, Gupta R (1994) Principal components selection by the criterion of the minimum mean difference of complexity. Journal of multivariate analysis. 49(1):55–75

Rahman MS, Saha N, Molla AH (2014) Potential ecological risk assessment of heavy metal contamination in sediment and water body around dhaka export processing zone, bangladesh. Environmental earth sciences. 71(5):2293–2308

Rainwater, F. & Thatcher, L. (1960). Methods for collection and analysis of water samples. Report No. 1454. Washington, DCUnited State of Geological Survey. 1st edition

Raju, N.J., Patel, P., Reddy, B.C.S.R., Suresh, U. & Reddy, T.V.K. (2016, August). Identifying source and evaluation of hydrogeochemical processes in the hard rock aquifer system: geostatistical analysis and geochemical modeling techniques. Environmental Earth Sciences. 75(16), 1157. https://doi.org/10.1007/s12665-016-5979-5

Reghunath, R. (2002, May). The utility of multivariate statistical techniques in hydrogeochemical studies: an example from Karnataka, India. Water Research. 36(10), 2437-2442. Retrieved 2022-03-11, https://linkinghub.elsevier.com/retrieve/pii/S0043135401004900 https://doi.org/10.1016/S0043-1354(01)00490-0

Reza, R. & Singh, G. (2013). Groundwater quality status with respect to fluoride contamination in industrial area of angul district orrissa, india. 8

Rockware AqQA (2015). Rockware AqQA version 1.5. http://www.rockware.com

Routroy, S., Harichandan, R., Mohanty, J.K. & Panda, C.R. (2013, March). A Statistical appraisal to hydrogeochemistry of fluoride contaminated ground water in Nayagarh district, Odisha. Journal of the Geological Society of India. 81(3), 350-360. https://doi.org/10.1007/s12594-013-0045-3

Roy, B., Roy, S., Mitra, S. & Manna, A.K. (2021, October). Evaluation of groundwater quality in West Tripura, Northeast India, through combined application of water quality index and multivariate statistical techniques. Arabian Journal of Geosciences. 14(19), 2037. https://doi.org/10.1007/s12517-021-08384-6

Røsjø H, Omland T (2009) New statistical methods for the evaluation of cardiovascular risk markers: What the clinician should know. Clinical science. 117(1):13–15

Sadat-Noori S, Ebrahimi K, Liaghat A (2014) Groundwater quality assessment using the water quality index and gis in saveh-nobaran aquifer, iran. Environmental Earth Sciences. 71:3827–3843

Saffran, K., Cash, K., Hallard, K. & Wright, R. (2001). Canadian water quality guidelines for the protection of aquatic life, ccme water quality index 1, 0, users manual. Excerpt from Publication. 1299

Schoeller H (1965) Qualitative evaluation of groundwater resources. UNESCO, Methods and techniques of groundwater investigations and development, p 5483

Schoeller, H. (1977a). Geochemistry of groundwater. Groundwater studies, an international guide for research and practice, UNESCO, Paris. 1–18

Schoeller, H. (1977b). Groundwater studies-an international guide for research and practice. Geochemistry of Groundwater; UNESCO: Paris, France

Selvakumar S, Chandrasekar N, Kumar G (2017) June). Hydrogeochemical characteristics and groundwater contamination in the rapid urban development areas of Coimbatore. India. Water Resources and Industry. 17:26–33. https://doi.org/10.1016/j.wri.2017.02.002

Shah M, Sircar A, Shaikh N, Patel K, Thakar V, Sharma D, Vaidya D (2018) September). Groundwater analysis of Dholera geothermal field, Gujarat, India for suitable applications. Groundwater for Sustainable Development. 7:143–156. https://doi.org/10.1016/j.gsd.2018.05.002

Shahbazi, A. & Esmaeili-Sari, A. (2009). Groundwater Quality Assessment in North of Iran: A Case Study of the Mazandaran Province. 6

Shao, Y., Yan, B., Liu-Lu, B., Feng, G., Zhang, K. & Gong, K. (2023). Hydrochemical characteristics and water quality evaluation for irrigation and drinking purposes of bangong co lake watershed

Sharaky, A., Atta, S., El Hassanein, A. & Khallaf, K. (2007). Hydrogeochemistry of groundwater in the western nile delta aquifers, egypt. 2nd international conference on the geology of tethys (Vol. 19, p. 1-23)

Sharma, A., Raidas, H., Patel, J.K., Chothodi, S., Ghosh, P., Kumar, A. & Upadhyay, N. (2023). A multivariate statistical and geospatial analysis of groundwater quality for drinking purposes in the sagar district of madhya pradesh, india. Groundwater for Sustainable Development. 100937

Shaw RG, Mitchell-Olds T (1993) Anova for unbalanced data: an overview. Ecology. 74(6):1638–1645

Shrivastava V, Patil P (2002) Tapti river water pollution by industrial wastes: A statistical approach. Nature, Environment and Pollution Technology. 1(3):279–283

Silva M, Gonçalves A, Lopes W, Lima M, Costa C, Paris M, De Paula Filho F (2021) Assessment of groundwater quality in a brazilian semiarid basin using an integration of gis, water quality index and multivariate statistical techniques. Journal of Hydrology. 598:126346

Simeonov, V., Stratis, J., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A. & Kouimtzis, T. (2003, October). Assessment of the surface water quality in Northern Greece. Water Research. 37(17), 4119-4124. Retrieved [2022-03-11], https://linkinghub.elsevier.com/retrieve/pii/S0043135403003981 https://doi.org/10.1016/S0043-1354(03)00398-1

Singh G, Rishi MS, Herojeet R, Kaur L, Sharma K (2020) Evaluation of groundwater quality and human health risks from fluoride and nitrate in semi-arid region of northern india. Environmental geochemistry and health. 42(7):1833–1862

Singh KP, Malik A, Mohan D, Sinha S (2004) Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of gomti river (india)-a case study. Water research. 38(18):3980–3992

Singh, K.P., Malik, A. & Sinha, S. (2005, May). Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques-a case study. Analytica Chimica Acta. 538(1-2), 355-374. https://doi.org/10.1016/j.aca.2005.02.006

Singh, S. & Hussian, A. (2016, December). Water quality index development for groundwater quality assessment of Greater Noida sub-basin, Uttar Pradesh, India. Cogent Engineering. 3(1), 1177155. https://doi.org/10.1080/23311916.2016.1177155

Singh S, Raju NJ, Gossel W, Wycisk P (2016) Assessment of pollution potential of leachate from the municipal solid waste disposal site and its impact on groundwater quality, varanasi environs, india. Arabian Journal of Geosciences. 9(2):1–12

Sánchez, E., Colmenarejo, M.F., Vicente, J., Rubio, A., García, M.G., Travieso, L. & Borja, R. (2007, April). Use of the water quality index and dissolved oxygen deficit as simple indicators of watersheds pollution. Ecological Indicators. 7(2), 315–328. Retrieved 2022-03-11, https://linkinghub.elsevier.com/retrieve/pii/S1470160X06000239 https://doi.org/10.1016/j.ecolind.2006.02.005

St L, Wold S et al (1989) Analysis of variance (anova). Chemometrics and intelligent laboratory systems. 6(4):259–272

Stamatis G, Alexakis D, Gamvroula D, Migiros G (2011) Groundwater quality assessment in oropos-kalamos basin, attica, greece. Environmental Earth Sciences. 64:973–988

Stiff, H.A. (1951, October). The Interpretation of Chemical Water Analysis by Means of Patterns. Journal of Petroleum Technology. 3(10), 15-3. https://doi.org/10.2118/951376-G

Taşan M, Demir Y, Taşan S (2022) Groundwater quality assessment using principal component analysis and hierarchical cluster analysis in alaçam, turkey. Water Supply. 22(3):3431–3447

Thurstone LL (1931) Multiple factor analysis. Psychological review. 38(5):406

Thurstone, L.L. (1935). The vectors of mind: Multiple-factor analysis for the isolation of primary traits

Ullah, R., Malik, R.N. & Qadir, A. (2009). Assessment of groundwater contamination in an industrial city, sialkot, pakistan. African Journal of Environmental Science and Technology. 3(12)

USSL (1954). Diagnosis and improvement of salinity and alkaline soli in: Usda handbook no. 60. Washington

Vaiphei SP, Kurakalva RM, Sahadevan DK (2020) Water quality index and gis-based technique for assessment of groundwater quality in wanaparthy watershed, telangana, india. Environmental Science and Pollution Research. 27:45041–45062

Varnosfaderany MN, Mirghaffary N, Ebrahimi E, Soffianian A (2009) Water quality assessment in an arid region using a water quality index. Water Science and Technology. 60(9):2319–2327

Varol S, Davraz A (2014) Evaluation of the groundwater quality with wqi (water quality index) and multivariate analysis: a case study of the tefenni plain (burdur/turkey). Environmental Earth Sciences. 73(4):1725–1744

Vega, M., Pardo, R., Barrado, E. & Debán, L. (1998, December). Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Research. 32(12), 3581-3592. Retrieved 2022-03-11, https://linkinghub.elsevier.com/retrieve/pii/S0043135498001389 https://doi.org/10.1016/S0043-1354(98)00138-9

Vennila G, Subramani T, Elango L (2008) Gis based groundwater quality assessment of vattamalaikarai basin, tamil nadu, india. Nature Environment Pollution Technology. 7(4):585–592

Venugopal T, Giridharan L, Jayaprakash M (2008) Groundwater quality assessment using chemometric analysis in the adyar river, south india. Archives of environmental contamination and toxicology. 55(2):180–190

Wakida, F.T. & Lerner, D.N. (2006, June). Potential nitrate leaching to groundwater from house building. Hydrological Processes. 20(9), 2077–2081. Retrieved 2022-03-29 https://onlinelibrary.wiley.com/doi/10.1002/hyp.6143 https://doi.org/10.1002/hyp.6143

Ward, J.H. (1963, March). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association. 58(301), 236-244. https://doi.org/10.1080/01621459.1963.10500845

Watkins MW (2018) Exploratory factor analysis: A guide to best practice. Journal of Black Psychology 44(3):219–246

Wenning, R.J. & Erickson, G.A. (1994, November). Interpretation and analysis of complex environmental data using chemometric methods. TrAC Trends in Analytical Chemistry. 13(10), 446-457. https://doi.org/10.1016/0165-9936(94)85026-7

Wilcox, L. (n.d.). Classification and Use of Irrigation Waters Classification and Use of Irrigation Waters. U.S. Department of Agriculture, Washington DC

Wold, S., Esbensen, K. & Geladi, P. (1987). Principal Component Analysis. 16

World Health Organization, G.S. (2004). Guidelines for drinking-water quality 4th edn. world health organization

Yang, Q., Zhang, J., Wang, Y., Fang, Y. & Martín, J.D. (2015). Multivariate statistical analysis of hydrochemical data for shallow ground water quality factor identification in a coastal aquifer. Polish Journal of Environmental Studies. 24(2)

Yerel S, Ankara H (2012) Erratum to: application of multivariate statistical techniques in the assessment of water quality in sakarya river, turkey. Journal of the Geological Society of India. 1(79):115–115

Yidana SM, Ophori D, Banoeng-Yakubo B (2008) January) A multivariate statistical analysis of surface water chemistry data-The Ankobra Basin. Ghana. Journal of Environmental Management. 86(1):80–87. https://doi.org/10.1016/j.jenvman.2006.11.023

Yongming, H., Peixuan, D., Junji, C. & Posmentier, E.S. (2006). Multivariate analysis of heavy metal contamination in urban dusts of xi’an, central china. 355(1-3), 176-186

Zivin K, Allen L, Barnes AJ, Junker S, Kim JY, Tang L, Donohue JM (2022) Design, implementation, and evolution of the medicaid outcomes distributed research network (modrn). Medical care. 60(9):680–690

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Patel, P.S., Pandya, D.M. & Shah, M. A holistic review on the assessment of groundwater quality using multivariate statistical techniques. Environ Sci Pollut Res 30 , 85046–85070 (2023). https://doi.org/10.1007/s11356-023-27605-x

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GIS-based assessment of groundwater quality and suitability for drinking and irrigation purposes in the outlet and central parts of Wadi El-Assiuti, Assiut Governorate, Egypt

  • Hanaa A. Megahed 1  

Bulletin of the National Research Centre volume  44 , Article number:  187 ( 2020 ) Cite this article

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The limited water resources in arid environments in addition to the effect of agricultural and anthropogenic activities on groundwater quantity and quality necessitate paying more attention to the quality assessment of these resources. The present studies assess the quality of groundwater resources in Wadi El-Assiuti, south Egypt, and evaluate their suitability for drinking and irrigation purposes. To achieve this goal, 159 groundwater samples were collected from the outlet and central parts of the Wadi El-Assiuti during the autumn season (October–November) of 2019 and were analyzed for major ions, trace elements and heavy metals.

The results indicate that the TDS values range between 1972 and 6217 ppm, while the concentration of trace elements (Fe ++ , Mn ++ and Ni + ) ranges between 0.05 and 0.46, 0.11 and 0.221 and 0.01 and 0.6 ppm, respectively. These results show that all groundwater samples are clearly unacceptable and inappropriate for human drinking due to their high content of total dissolved solids, trace elements and heavy metals, particularly in the majority of samples according to World Health Organization (WHO) guidelines and the Egyptian standards (Eg. St. 2007) for drinking water quality. Spatial analysis of the TDS values in geographic information system environment indicates that the salinity is higher in the northeast and gradually decreases southward. Sodium adsorption ratio, US Salinity Laboratory classification (1954), residual sodium carbonate, soluble sodium percentage and permeability index show that most groundwater samples are suitable for irrigation purposes.

Conclusions

The integrated approach provided in this study highlights the spatially distributed suitability of groundwater resources in Wadi El-Assiuti and can be applied in similar basins worldwide.

Water is a renewable resource, but its availability is variable and limited, especially under arid conditions (Abotalib et al. 2016 ). At certain times of the year, almost every country in the world experiences water shortages (Gleick 1993 ). In fact, water resources are of importance in increasing employment in all sectors of society. Ongley ( 1999 ) stated that experts describe the global water situation as a crisis. Freshwater quality will become the principal limiting factor for sustainable development for many countries in the twenty-first century (Elawa et al. 2013 ). With the upstream countries in the Nile basin proceeding with building dams on the major stream of the Nile River, the Egyptian government is paying more attention to explore new resources of groundwater and to maintain the quality of groundwater for drinking and irrigation purposes (Negm et al. 2018 ). The groundwater aquifers in Egypt can be classified in three major groups including the Nubian Sandstone Aquifer (NAS), the fractured limestone aquifer and the Quaternary Nile aquifer (Abotalib et al. 2016 ; Megahed and Farrag 2019 ). The NAS received recharge during previous wet climatic periods and is considered as a fossil aquifer (Abotalib et al. 2019 ), while the Nile aquifer is currently connected with the Nile water (Megahed and Farrag 2019 ). In addition to these major aquifers, numerous aquifers are reported from the dense alluvium aquifers in major wadi such as Wadi El-Assiuti (Sultan et al. 2007 ), El-Qaa plain (Youssif et al. 2020 ) and El-Gallaba plain (Gaber et al. 2015 ).

When groundwater moves through the rocks and subsurface soil, it has the opportunity to dissolve various sources of substances and contaminants (Mahmood et al. 2017 , 2018 ). In addition, they are distributed as an anthropogenic pollutant (Rangsivek and Jekel 2005 ). Trace metals in groundwater are attributed to industrial, transportation, construction activities (Hegazy et al. 2020 ) as well as agricultural practices (Brantley and Townsend 1999 ; Romic and Romic 2003 ), which adverse environmental effects. Fertilizers and pesticides uses for agricultural and industrial wastes have led to the ongoing accumulation of trace metals in soils (Zwolak et al. 2019 ; Alloway and Jackson 1991 ). The environmental impacts of agricultural activities and the leaching of heavy and trace metals are becoming increasingly alarming (Brindha and Kavitha 2015 , Brindha et al. 2017a , b , 2020 ). During manufacturing processes, fertilizers are usually not sufficiently purified; they usually contain several impurities including heavy metals (Santos et al. 2002 ; Tanji and Valoppi 1989 ). Also, heavy metals are often a part of pesticide’s active compounds. The heavy metal surpluses in soils are also caused by fertilizer use. With sufficient infiltration of surface water, soil pollutants such as heavy metals can leach to the groundwater (Eugenia et al. 1996 ). Especially vulnerable to various contaminants are unconfined aquifers overlain by permeable soils or other aquifers (Picker et al. 1992 ; Pogotto et al. 2001 ). Recently, attention has been paid to development and rehabilitation in Upper Egypt beyond the overpopulated areas to the north of the country (El Kashouty et al. 2012 ).

Wadi El-Assiuti represents one of the most important hydrographic basins adjacent to the Nile Valley. Knowledge about the groundwater aquifers in the area was collected partially from different studies previously (Farrag, et al. 2002 ; Farrag 1997 , 2007 ). Wadi El-Assiuti may have remnants of old drainage systems, and the main channel has a NE trend with width variations from about 1.5 km (in the central part) and about 3.5 km in the western part (Yousef 2008 ). Most tributaries also trend toward the NW. The N–S River Nile course south of Assiut city has been shifted eastward to take the NW trend north of Assiut city. A detailed study in Wadi El-Assiuti area was made to distinguish the lateral hydrogeological distribution of this wadi (Northern, Intermediate and Outlet areas) and to provide details about all the hydrography and the correlation within (Farrag et al. 2002 ). For groundwater evaluation and its suitability for different uses during the past 35 years, different studies were carried out by many authors (e.g., Abbas et al. 2018 , 2019 ; Dawoud and Ewea 2009 ; Elewa 2008 ; Yuan et al. 2005 ; Abu El-Ella 1999 ; Bakheit et al. 1992 ; Bakheit 1989 ; Mousa et al. 1993 ) and others on different parts in and around Wadi El-Assiuti. All these studies showed the presence of a prolific aquifer system in the wadi's Quaternary sediments. The increase in newly reclaimed areas for different agricultural activities and the vast growth of newly established settlements (e.g., new Assiut city) in Assiut governorate have led to a search for new groundwater water resources necessary for sustainable development for agricultural expansion.

Integration of remote sensing (RS) data in a GIS environment has been widely used to explore the groundwater resources in arid environments as well as understanding the groundwater dynamics and fault controls on the groundwater flow (Paul et al. 2019 ; Mohamed et al. 2015 ; Hussien et al. 2017 ; Abotalib and Heggy 2019 ). Main GIS applications in groundwater studies include mapping and suitability analysis, assessment of groundwater flow vulnerability and their quality integrated with spatial data (Megahed and Farrag 2019 ; Mohammad et al. 2019 ; Satyajit et al. 2020 ; Hamed et al. 2018 ; Engel and Navulur 1999 ). GIS was also used to examine groundwater contamination and the geographical relationships between groundwater characteristics, pollution sources, land uses, topography and geology (Farrag et al. 2019 ; Ahn and Chon 1999 ). GIS-based research concluded that nitrate pollution of the groundwater occurs from dense cultivation which is considered a possible source of groundwater deterioration (Levallois et al. 1998 ). Groundwater pollution hazard and water quality maps were produced using GIS analyst tools in Italy (Ducci 1999 ). GIS and multivariate statistical analysis was adopted to investigate factors controlling groundwater quality and suitability for drinking and irrigation in the Western Nile Delta of Egypt (Armanuos and Negm 2016 ).

The main objective of the present study is to evaluate the groundwater quality and its suitability for drinking purposes based on Egyptian and WHO standards and to finally assess groundwater for agricultural purposes based on international recommendations for irrigation in the outlet and central parts of Wadi El-Assiuti. This is achieved using the analysis of the major ions, trace elements and heavy metal concentrations in the collected groundwater samples.

Description of the study area

Location and climate.

Wadi El-Assiuti constitutes a part of the Eastern Desert and is one of the most significant wadis in middle Egypt which is a natural extension of Assiut Governorate. It represents one of the most promising desert areas for sustainable development where groundwater can be extracted. It is a dry drainage basin, whose main channel is 186 km in length (Elewa 2008 ). The study area includes the outlet and central parts of Wadi El-Assiuti which lie to the east of the River Nile northeast of Assiut. It is located between the latitudes 27° 00′ and 27° 30′ N and the longitudes 31° 00′ and 31° 30′ E (Fig.  1 ) and covers an area of about 2500 km 2 . According to the Egyptian Meteorological Authority (EMA 2019 ), Wadi El-Assiuti area is characterized by arid to semiarid climate. The annual average temperature in the area is about 29 °C (minimum temperature 18 °C and maximum temperature about 40 °C which rises throughout the year) due to the governorate's site in the hot desert zone. From the rainfall data, it can be observed that the average yearly precipitation in Wadi El-Assiuti is lower than that happened in mountainous region toward the east. In general, the amount of rainfall in the study area is not significant throughout the year. The average rainfall value is approximately 0.7 mm/month, and the relative humidity is 38%, while the average evaporation in about 14.2 mm/year and the average wind reach around 7.5 Knot/hour (Fig.  2 ).

figure 1

Location map with monitoring wells in the study area

figure 2

Representation of the recorded a temperature, b humidity and c wind speed values during the year 2019 in the study area (EMA 2019 )

Geological and hydrological setting

The study area is completely covered by sedimentary rocks from different ages ranging from lower Eocene to Holocene times (Fig.  3 ). In the present study, the stratigraphy of Wadi El-Assiuti and the surrounding parts is reviewed from previous studies, especially those of Said ( 1981 , 1990 ; Mansour and Philobbos 1983 ; Klitzsch et al. 1987 and others). The wadi filling deposits are composed of gravel of different sizes with washed macrofossils and nummulites in a sandy, limey and clayey matrix; all derived from the adjacent limestone plateau during recent times and were classified from the oldest to the most recent by Said ( 1981 ) being Protonile, Penile and NeoNile sediments (Al-Ruwash and Shehata 2003 ), (Fig.  3 ). The lower Eocene sequence borders the study area at its eastern side and is composed of carbonate rocks (limestone and dolomites). It has been studied by many authors (e.g., Bishay 1961 ; El-Naggar 1970 ; Omara et al. 1970 ; Youssef et al. 1982 ; Keheila 1983 ; Mansour and Philobbos 1983 ). The main characteristic structural features of the different geological formations have been documented by the following (Said 1961 , 1962 ; Omara and El-Tahlawi 1972 ; Omara et al. 1970 , 1973 ; Osman 1980 ; Bakhiet 1989; Mansour and Philobbos 1983 ; Shama 1972 and others). The fault trends were arranged according to their decreasing order as N–S, NW and NE trends. Anticlines and synclines are well observed. The synclines form narrow structures ranging between 100 and 200 m in amplitude and between 100 and 500 m in width. The generally symmetrical dips of the flanks reach a maximum of 60° and usually range between 30° and 45°. The anticlines form broad swells having little effect on the prevailing physiography of the Eocene plateau. The exposed limestone region around Wadi El-Assiuti is highly dissected by both major and minor joints. Some fissures and joints in different parts are sites of mineralization (Omara et al. 1973 ). Joints observed in the different parts of the area are mainly perpendicular to the bedding planes and show very high dip angles.

figure 3

Geological map of the study area, modified by Said ( 1981 )

Population and economic increase causes the increase in drilling activities for groundwater extraction in the dryland environments and causes more problems concerning the groundwater potentiality. This urgently requires implementing a policy or management scheme for this critical area east of Assiut to diminish the problems (El Bastawesy et al. 2012 ). Hydrogeologically, the investigated water-bearing formations in Wadi El-Assiuti are classified as follows: Quaternary aquifer dominating the outlet area and the upper zone in the central part with depths ranging from 25 to 50 m. Conversely, the Plio-Pleistocene aquifer dominates the central parts of the wadi and is generally distinguished by two zones: The first has an aquifer depth ranging from 40 to 70 m; however, the second is presents greater depths reaching 180 m. The Pleistocene groundwater aquifer in the area is the most exploited one for agricultural purposes. The Eocene aquifer is lying in the southeastern border of the wadi, and its aquifer depth is more than 90 m.

To obtain the physiochemical characteristics of the groundwater in the area, some field and laboratory measurements and analysis were carried out. These included the assessment of the water's physical and chemical parameters such as total dissolved solids (TDS), concentrations of hydrogen ions (pH), electrical conductivity (EC), and concentrations of a few major and trace ions. Groundwater samples collection procedure considers the representation of all aquifers and the variability of depth in the study area. One hundred and fifty-nine groundwater samples were collected from wells located in the studied area during the autumn season (October to November) of 2019 (Fig.  1 ). Well locations were detected by using a Global Positioning System (GPS). The water analysis was carried out in the Geology Department, Faculty of Sciences at Assiut University, and Environmental Agency Affair according to the methods adopted by Rainwater and Thatcher ( 1960 ) and the methods described Fishman and Friedman ( 1985 ). A portable field kit was used for measurements of pH and EC in field. Cl − , HCO 3 − , Ca ++ , and Mg ++ contents were measured by titration, while SO 4 − concentration was estimated by turbidity, and Na +  and K +  contents were estimated by flame photometer. The samples were then transported to the laboratory and stored in a refrigerator at approximately ~ 20 °C to prevent change in volume due to evaporation. The inductive couples plasma (ICP) determined trace metals (Pb, Ni, Mn, and Fe). The collection of the geological and hydrogeological data of Assiut Governorate was done from previous works and reports to prepare a base map of the studied area and to collate all the graphical representation and maps for the analytical results. A geo-spatial database was built using Arc GIS 10.1 software, (ESRI 2006 ) and Groundwater software for Windows (GWW) computer software to present and observe the of changes of main and trace ions distribution of groundwater samples in the study area to assess of groundwater quality and their suitability for drinking, irrigation and other uses then the visualization of results and expectation of the best locations in the studied area which contain suitable groundwater for drinking and agriculture to provide time and cost when drilling underground water wells.

Laboratory analyses

The physical properties.

Water temperature affects ionic strength, conductivity, dissolution, solubility and corrosion. In the study area, groundwater temperature ranged between 22 and 28 °C which may be due to structures or differences in drilling depths. With most types of groundwater in direct contact with the atmosphere, pH value ranged from 6.5 to 9.5 which reflects that the groundwater samples are neutral to strongly alkaline and EC values ranged between 1143 µmhos/cm (Well No. 11) and 9280 µmhos/cm (Well No. 42). pH and EC values of the collected groundwater samples in the studied area are shown in Table 1 and Fig.  4 a, b.

figure 4

a Concentrations of hydrogen ions (pH) and b electrical conductivity (EC) values of groundwater samples in the study area

Chemical properties and groundwater composition

Ions concentrations and distribution.

The chemical characteristics of groundwater are mainly influenced by the surface and subsurface geochemical evolution during water movement. These processes control the water quality by increasing the dissolved ion contents by increasing water–rock interaction. The intensity of these exchanges depends on the physical and chemical properties of the surrounding rocks and water temperature. The chemical composition of the studied groundwater samples was obtained as shown in Table 2 . Noticeably, the total concentration of Ca ++ , Mg ++ , Na + , K + , HCO 3 − , SO 4 – and Cl − often exceeds 90% of the total dissolved solid (TDS) in water, regardless of whether the water is diluted or the salinity is higher than seawater (Freeze and Cherry 1979 ). TDS values of groundwater in the study area varied from 1972 ppm (Well No. 11) to 6217 ppm (Well No. 42). According to classifications by Davis and Dewiest ( 1966 ) or by Hem ( 1970 ), 34.45% of the groundwater samples in the study area are freshwater and 65.54% are moderately saline (brackish water). The TDS distribution map of the studied area (Fig.  5 a) shows general increases toward the north and the northeast directions close to the limestone plateau depending on the type, composition, and thickness of the water-bearing sediments and the distance to the recharging by Nile River and decreases toward the southern part. The increase in salinity toward the northeastern direction may relate to the general trend of groundwater flow in the same direction. This could be related to the change in lithology and structural pattern in water-bearing formations due to the slow groundwater movement and the long distance from the southern to the northern parts and may also be due to the prolonged duration underground. It is observed that wells No. 11 and 135 are of high TDS content which is mainly due to the presence of contamination sources. The type of water varies between “slightly hard” and “excessively hard” as shown in the iso-hardness contour map (Fig.  5 b), indicating that hardness increased toward the north and it had a local variation in the southern part of the study area. Inspection of the spatial distribution of well depth (Fig.  1 ) compared to the measured TDS shows that with increasing depths. The TDS values generally decrease. This could be attributed to the agriculture activates, high hydraulic characteristics of the surfaced aquifer and arid climatic conditions. In the studied area, the total hardness (TH) ranges from “slightly hard” to “excessively hard. According to the TH classification, 59.66% of the groundwater samples are considered very hard water, 20.17% are excessively hard water, 15.97% are moderately hard water, and 5.04% are slightly hard water (Tables 3 and 4 ).

figure 5

a Total dissolved solid (TDS) and b water hardness distribution contour map in the area

Major and trace ions distribution

Calcium ion concentration ranges in the studied area were from 15.23 ppm (Well No. 23) to 611.2 ppm (Well No. 42) while magnesium concentrations in groundwater ranged from 4.20 ppm (Well No. 71) to 532.26 ppm (Well No. 42). Generally, calcium and magnesium concentrations increase in the north and northeast directions toward the limestone plateau (Fig.  6 a, b). Sodium ion content varied from 49.30 ppm (Well No. 1) to 1950 ppm (Well No. 135), and potassium concentrations ranged between 0.39 ppm (Well No. 11) and 320.80 ppm (Well No. 61). The total concentrations of sodium and potassium in the studied area varied from one place to another ranging between 63.59 ppm (Well No. 11) and 1957 ppm (Well No. 135). The concentration of sodium and potassium ions showed a general increase in the northeastern part of the studied area, consistent with the distribution of TDS (Fig.  6 c, d). The distribution of bicarbonate in the study area shows some anomalies especially in the central and northwestern parts (Fig.  7 a). This is mainly due to leaching with either the remaining limestone or the limestone plateau. In general, the sulfate ions concentrations in most wells are not high ranging between 11.50 ppm (Well No. 129) and 3319 ppm (Well No. 34) (Fig.  7 b). It is noticed that there is a general increasing trend northeast, in addition to positive anomalies in the central part. These high concentrations may be due to the presence of gypsum deposits at these localities. Finally, the distribution of chloride ions shows a general increase in the northeastern direction and decreases toward the southwestern direction and ranges between 40 ppm (Well No. 11) and 3200 ppm (Well No. 135) (Fig.  7 c). The high chloride concentration is possibly related to leaching of the soluble chloride minerals in deep sedimentary basins, especially shale sequences with the upwelling of deep groundwater from the Nubian Aquifer along vertical sub vertical faults (Sultan et al. 2007 ; Abotalib et al. 2016 ). This direction is compatible with the regional groundwater flow pattern in the studied area. Many elements are present in groundwater in low concentrations (less than 0.1 ppm) and sometimes much higher. Some trace elements such as Fe ++ , Mn ++ , Ni + and Pb + were measured at some water points in the study area (Table 5 ). The iron concentration measured in some groundwater samples ranged between 0.05 and 0.46 ppm while manganese concentrations ranged between 0.11 and 0.221 ppm. Lead concentration was not detected in many samples; however, it appeared at 0.05 ppm in some samples which is within the permissible limits (0.01 mg/L). Nickel ions in the study samples were rare although in some samples it was detected with very low concentration ranges between 0.01 and 0.6 ppm.

figure 6

Spatial distribution of major ions in studied groundwater samples: a calcium, b magnesium, c sodium and d potassium ions

figure 7

Spatial distribution of minor ions in studied groundwater samples: a bicarbonate, b sulfate, and c chloride ions

Hypothetical salt combinations

The hypothetical salts assemblages are the most widely used and easiest method for displaying the chemical analysis of water samples using PHREEQCA computer program (Parkhurst and Appelo 1999 ). Hypothetically, strong acid ions (Cl − and SO 4 – ) are generally combined with alkalis (Na + and K + ) and alkaline earth (Ca ++ and Mg ++ ) are combined with the remainder of the radicals. If the latter is in surplus in the water, then they will combine with weak acids (CO 3 – , HCO 3 − ). The calculated hypothetical salt combinations for the studied area are tabulated in Table 6 and revealed the presence of different groups of salt assemblages. The hypothetical salt combinations in the studied area indicated the presence of a variety of salts as follows: NaCl, Ca(HCO 3 ) 2 , Mg (HCO 3 ) 2 , Na 2 SO 4 , MgSO 4 , CaSO 4 , NaHCO 3 , KCL and MgCl 2 . Figure  8 shows the relationships between cations and anions in bar graph form. Their average equivalent percentages are 44.108%, 11.526%, 8.43%, 8.108%, 8.044%, 6.873%, 5.118%, 3.978% and 3.270%, respectively.

figure 8

Hypothetical salt combinations of the obtained samples in the area

Hydrochemical facies and groundwater genesis

The hydrogeochemical facies and groundwater genesis can be understood by plotting the geochemical data on Piper ( 1944 ) trilinear diagrams. The Piper trilinear diagram includes three distinct plotting fields, two lower left, lower right triangular fields and a diamond-shaped field intersecting the two triangles at the upper part. Generally, the groundwater samples appear in the upper diamond field and have secondary salinity properties, where sulfate and chloride exceed sodium and potassium. On the other side, those that appear in the lower triangle are considered as having alkaline properties, where carbonates and bicarbonates exceed calcium and magnesium. The results of the analyzed samples were plotted on Piper diagrams (Fig.  9 ). This diagram illustrates that most of the groundwater samples are located close to each other which indicates that they are of similar origins. In the outlet and intermediate areas, it is clear that sodium and potassium ions represent the main dominating cations, while chloride ions are the main dominating anions. This reflects that most of the samples have sodium chloride facies. In the majority of the groundwater samples collected from the old cultivated land areas, sodium ions represent the most dominant cations. Alternatively, bicarbonate ions are the dominating anions in most samples with magnesium and calcium bicarbonate representing the main facies.

figure 9

Piper trilinear diagram representation of groundwater samples in the (red triangle) old cultivated land area, (blue diamond) outlet area and (green square) intermediate area of wadi El-Assiuti

According to the calculated percentages of the hydrochemical composition, Sulin’s ( 1948 ) diagram was used to reveal the groundwater genesis and the type of water. This genetic diagram consists of two equal quadrants. The water samples which are plotted in the upper right square indicate the marine origin of MgCl 2 and CaCl 2 water type, while the water samples projected in the lower left square indicate the meteoric origin of Na 2 SO 4 and NaHCO 3 water types. Plotting groundwater samples on the Sulin diagram (Fig.  10 ) indicates that most of the samples are of meteoric origin (Na 2 SO 4 and NaHCO 3 ), while other samples could be of a mixed origin with deeper groundwater sources such as the Nubian water (Himida 1970 ).

figure 10

Sulin’s diagram for some groundwater samples in the (red triangle) old cultivated land area, (blue diamond) outlet area and (green square) intermediate area of wadi El-Assiuti

Groundwater suitability for drinking

Groundwater quality parameters (pH, TDS, EC, TH, Ca ++ , Mg ++ , SO 4 – , Cl − , Na + and K + ) were used to assess the suitability for drinking purposes according to WHO ( 2004 ) and Eg. St. (2007) limits, (Table 7 ). Water quality in the study area varied greatly regarding the appropriateness for drinking and domestic purposes. According to salinity TDS, all groundwater samples are unsuitable due to their high content of total dissolved solids (Fig.  11 ). Also, according to minor and trace constituents, 90% of groundwater samples are unsuitable for human drinking because of the higher content of measured trace elements in the majority of samples. About 80% of the groundwater proved to be unsuitable for domestic and laundry usage because the ranges were from hard to very hard and 6% to the extent of moderate.

figure 11

Ion concentrations in the available groundwater samples and their relations with the WHO standards

Groundwater suitability for irrigation

Groundwater suitability for agriculture depends on various factors such as effective salinity hazard, sodium adsorption ratio (SAR), soluble sodium percentage (SSP), residual sodium carbonate (RSC) and permeability index (PI). Mineral constituents of groundwater affect soil structure and permeability, which in turn indirectly affects crop growth.

Sodium adsorption ratio (SAR)

The main problem of high concentration of sodium is its impact on the permeability of the soil, water infiltration and total salinity increase in its therefore harmful to sensitive crops. Sodium concentration is estimated by the sodium absorption ratio which is calculated by the following formula (Richards 1954 ), (Eq.  1 ):

The irrigation water is classified according to SAR into four main classes as indicated in Table 8 . Continued use of water with high SAR results in a deterioration of the soil's structure. Sodium replaces calcium and magnesium that is absorbed by clay minerals and allows the soil particles to disperse. This dispersion leads to a deterioration of soil aggregates and induces soil cementation under drying conditions, as well as preventing rainwater infiltration. For the studied area, the calculated SAR values of the collected groundwater samples and their corresponding classes are given in Table 9 . SAR values range between 1.03 and 30.57 in the studied groundwater samples. Thus, 78.15% of the groundwater samples are considered excellent and can be used for all soil types with no harmful effects from sodium, 12.6% of the groundwater samples are good, 7.56 of the groundwater samples are fair, and 1.68% of the groundwater samples are of poor quality for irrigation purposes.

Salinity hazard

In general, salinity problems are more severe during the early stages of growth and vegetable crops are more sensitive to salinity than field crops. Good drainage systems coupled with good irrigation management strategies are the most effective tools to control salinity in most soils. The irrigation water can be classified into four main categories based on the EC and the sodium adsorption ratio (SAR) (Tables 10 , 11 ).

The values of the salinity hazard (EC) and the sodium adsorption ratio (SAR) of the available groundwater samples are plotted on the Wilcox diagram with the aid of the United Nations and GWW software program 1994 (Fig.  12 ). The representation of groundwater samples parameters on the Wilcox diagram indicates that almost all of the samples are located in C3-S1 and C3-S2 classes (low sodium hazard and high salinity hazard), except for a few samples which are in C4S4 class (very high sodium hazard and very high salinity hazard) and some fewer samples in C4S3 class (very high sodium hazard and high salinity hazard). This indicates that the water can be used in all types of soil except the last samples which can be used for soils with restricted drainage. From the above discussion, the suitability of the studied groundwater samples for irrigation purposes indicates that most of the groundwater samples can be used for all soils and most crop types.

figure 12

Groundwater suitability for irrigation for the available groundwater samples in the (red triangle) old cultivated land area, (blue diamond) outlet area and (green square) intermediate area according to US Lab. Classification (1954)

Bicarbonate and carbonate's negative effects can be indicated by the high concentrations of Ca ++ and Mg ++ . The RSC equation (Eq.  2 ) (Eaton 1950 ) is used to indicate the potential for Ca ++ and Mg ++ precipitation at the soil surface and the removal of Ca ++ and Mg ++ from the soil solution. As RSC increases, calcium and some magnesium are precipitated from the solution, raising sodium percentages and the sodium adsorption rate on soil particles, which in turn raises the potential for sodium hazard. The RSC is calculated by the following formula:

Residual sodium carbonate (RSC) values for the available groundwater samples are tabulated in Table 12 and Fig.  13 . It is clear that most of the groundwater samples are considered safe for irrigation according to their RSC contents (86%) and are not hazardous, whilst some other samples have high (12%), medium (1%) and low (1%) values of RSC. Therefore, most of the available groundwater samples in the area are suitable for irrigation according to their calculated RSC values.

figure 13

Groundwater classes according to the percentage of RSC in the available groundwater samples

Soluble sodium percentage (SSP)

Soluble Sodium Percentage (SSP) is an estimation of the sodium hazard of irrigation water such as SAR, but represents the percentage of sodium out of the total cations as with SAR. The correlations of sodium only with Ca 2+ and Mg 2+ and is determined by the following equation (Eq.  3 ):

According to the results in Table 13 and Fig.  14 , it deduced that 1% of the samples are excellent, 23% are good, 20% are permissible, 25.2% are doubtful, and 31% are unsuitable for irrigation.

figure 14

Groundwater classes according to the percentage of SSP in the available groundwater samples

Wilcox ( 1955 ) designed a graph to represent the relation between sodium percent ( Na %) and specific conductance (EC) to defined the propriety of groundwater samples for irrigation. He divided the graph into five zones which represent the changes in irrigation water classes.

According to sodium percent classification in Table 14 and Wilcox diagram in Fig.  15 a, we showed that most samples were good and forty samples are doubtful due to the high sodium concentration. Also, few samples were permissible and twenty-one samples were excellent for irrigation.

figure 15

Suitability of water for irrigation based on a salinity and SAR, b PI in the (red triangle) old cultivated land area, (blue diamond) outlet area and (green square) Intermediate area

Permeability index (PI)

Sodium is significant chemical components in irrigation water that can cause reduce of soil permeability. To calculate the PI were used calcium, magnesium, sodium and bicarbonate ions which are given by Eq.  4 (Doneen 1964 ). According to PI classification, all samples were plotted in group I&II and suitable for irrigation (Fig.  15 b).

It is necessary to assess and map the available groundwater resources for different purposes in some remote areas to support urbanization and land reclamation projects. Groundwater quality and suitability for drinking and agricultural purposes were assessed using the spatial and hydrochemical analysis of the available wells. GIS of groundwater quality and suitability for various purposes provides essential input for the management and planning of the research area and similar regions. The results showed that large values of TDS observed in the middle part of the study area are possibly related to the increase in the agricultural activities and pumping rates in these areas so an urgent need to implement strategies to reduce these problems in this area is required. In accordance with international irrigation guidelines, most characteristics of the wells are appropriate and acceptable for irrigation purposes. The present conditions indicate that groundwater in the study area will worsen unless urgent measures are taken to protect the Quaternary groundwater aquifers and mitigation of contamination risk. Therefore, the study recommends that well depth in the area should not be less than 120 m to avoid the percolation of polluted water, controlling the application of agrochemicals on agricultural lands and managing the use of hazardous fertilizers and pesticides. In addition, the removal of iron is recommended using the physical treatment method as levels in the majority of the studied wells exceeds 0.3 ppm.

Availability of data and materials

All data generated or analyzed during this study are included in this manuscript.

Abbreviations

Geographic Information System

Remote Sensing

World Health Organization

Egyptian Standard

Adsorption Ratio

Residual Sodium Carbonate

Soluble Sodium Percentage

Groundwater software for Windows

Total Dissolved Solids

Concentrations of Hydrogen Ions

Electrical Conductivity

Global Positioning System

Permeability Index

Abbas A, Majid R, Amir HM, Ramin N, Mahmood Y, Hamed S, Mahmood A (2018) Groundwater quality assessment for irrigation purposes based on irrigation water quality index and it’s zoning with GIS in the villages of Chabahar, Sistan and Baluchistan, Iran. Data Brief 19:623–631. https://doi.org/10.1016/j.dib.2018.05.061

Article   Google Scholar  

Abbas A, Nader Y, Amir HM, Ramin N, Majid R, Mahmood Y, Mahmood A (2019) Evaluation of groundwater quality using water quality index and its suitability for assessing water for drinking and irrigation purposes: case study of Sistan and Baluchistan province (Iran). Hum Ecol Risk Assess Int J 25(4):988–1005. https://doi.org/10.1080/10807039.2018.1458596

Article   CAS   Google Scholar  

Abotalib AZ, Heggy E (2019) Groundwater mounding in fractured fossil aquifers in the Saharan–Arabian desert. In: Conference of the Arabian Journal of Geosciences. Springer, Cham, pp 359–362

Abotalib AZ, Sultan M, Elkadir R (2016) Groundwater processes in Saharan Africa: implications for landscape evolution in arid environments. Earth Sci Rev 156:108–136

Article   ADS   CAS   Google Scholar  

Abotalib AZ, Sultan M, Jimenez G, Crossey L, Karlstrom K, Forman S, Krishnamurthy RV, Elkadiri R, Polyak V (2019) Complexity of Saharan paleoclimate reconstruction and implications for modern human migration. Earth Planet Sci Lett 508:74–84

Abu El-Ella EM (1999) Hydrogeochemical evolution of groundwater aquifers the area East of Assiut Nile Basin. Assuit Univ J Geol 28(1):299–314

Google Scholar  

Ahn H, Chon H (1999) Assessment of groundwater contamination using geographic information systems. Environ Geochem Health 21:273–289

Alloway B, Jackson A (1991) The behaviors of heavy metals in sewage amended soils. Sci Total Environ 100:151–176. https://doi.org/10.1016/0048-9697(91)90377-q

Al-Ruwash FM, Shehata M (2003) Groundwater quality of the Nile west bank related to soil characteristics and geological setting between Mallawy and baliana area. J Arid Environ 49:761–784. https://doi.org/10.1006/jare.2001.0793

Armanuos AM, Negm AM (2016) GIS-based spatial distribution of groundwater quality in the Western Nile Delta, Egypt. In: Negm A (ed) The Nile Delta. The handbook of environmental chemistry, vol 55. Springer, Cham, pp 89–119. https://doi.org/10.1007/698_2016_66

Chapter   Google Scholar  

Bakheit AA (1989) Geological and geophysical studies on the areas around Wadi El-Assiuti, Eastern Desert, Egypt. PhD thesis, Department of Geology, Assiut University

Bakheit AA, Ibrahim HA, Omran AA, Senosy MA (1992) Groundwater exploration by resistivity method at the entrance of Wadi El-Assiuti, Eastern Desert, Egypt. Bull Fac Sci Assiut Univ 21(2):65–78

Bishay Y (1961) Biostratigraphic study of the Eocene in the Eastern Desert between Samalut and Assuit by the large foraminifera. 3rd Arab. Pet. Congr., Alexandria

Brantley S, Townsend G (1999) Leaching of pollutants from reclaimed asphalt pavement. Environ Eng Sci 16:151–176. https://doi.org/10.1089/ees.1999.16.105

Brindha K, Kavitha R (2015) Hydrochemical assessment of surface water and groundwater quality along Uyyakondan channel, south India. Environ Earth Sci 73:5383–5393. https://doi.org/10.1007/s12665-014-3793-5

Brindha K, Paul P, Touleelor S, Somphasith D, Elango L (2017a) Geochemical characteristics and groundwater quality in the Vientiane Plain, Laos. Expo Health 9:89–104. https://doi.org/10.1007/s12403-016-0224-8

Brindha K, Paul R, Walter J et al (2017b) Trace metals contamination in groundwater and implications on human health: comprehensive assessment using hydrogeochemical and geostatistical methods. Environ Geochem Health. https://doi.org/10.1007/s10653-020-00637-9

Brindha K, Paul R, Walter J et al (2020) Trace metals contamination in groundwater and implications on human health: comprehensive assessment using hydrogeochemical and geostatistical methods. Environ Geochem Health. https://doi.org/10.1007/s10653-020-00637-9

College of Agricultural Sciences (2002) Irrigation water quality. The Pennsylvania State University, State College

Davis SN, Deweist RJM (1966) Hydrogeology. Wiley, New York. https://doi.org/10.1016/0022-1694(68)90062-0

Dawoud MA, Ewea HAR (2009) Sustainable development via optimal integration of surface and groundwater in arid environment: Nile River Quaternary Aquifer Case Study. In: The international conference on water conversation in arid regions, Jeddah, 12–14 Oct 2009

Doneen LD (1964) Water quality for agriculture. University of California, Davis

Ducci D (1999) GIS techniques for mapping groundwater contamination risk. Nat Hazards 20(2–3):279–294. https://doi.org/10.1023/A:1008192919933

Eaton EM (1950) Significance of carbonates in irrigation waters. Soil Sci 69:123–133

Egyptian Higher Committee for Water (EHCW) (2007) Egyptian standards for drinking and domestic uses. EHCW, Cairo

El Bastawesy M, Ali RR, Deocampo DM, Al Baroudi MS (2012) Detection and assessment of the waterlogging in the dryland drainage basins using remote sensing and GIS techniques. IEEE J Sel Top Appl Earth Obs Remote Sens 5(5):1564–1571

Article   ADS   Google Scholar  

El Kashouty MA, El-Sayed EE, Elewa AM, Morsi MS (2012) Environmental impact of anthropogenic activities on surface and groundwater systems in the western part of the River Nile, between El-Edwa–Der Mawas area, El Minia Governorate, Upper Egypt. J Am Sci 8(5):150–161

Elawa AMT,El Kashoute MA, El-Sayed EE, Morsi MS (2013) Quantitative study of surface and groundwater systems in the western part of the River Nile, Minia Governorate, Upper Egypt: water quality in relation to anthropogenic activities, Greener Journal of Physical Sciences. ISSN: 2276-7851

Elewa HH (2008) Prediction of future drawdown of water levels of the Pleistocene aquifer system of Wadi El-Assiuti Area, Eastern Desert, Egypt, as a criterion for management and conservation. Resour Conserv Recycl 52:1006–1014. https://doi.org/10.1016/j.resconrec.2008.03.006

El-Naggar ZR (1970) The genus Rugoglobigerina in the Maastrichtain Sharawana shale of Egypt. In: Proceeding II planktonic conference, Roma, vol 1, pp 477–537

EMA (2019) Climatic Atlas of Egypt. Egyptian Meteorological Authority, Ministry of Transport and Communications, Cairo

Engel BA, Navulur KCS (1999) The role of geographical information systems in groundwater engineering. In: Delleur JW (ed) The handbook of groundwater engineering, chap 21. CRC Press LLC, Boca Raton, pp 1–16

ESRI (2006) ArcGIS 9.1, GIS and mapping software

Eugenia G, Vicente S, Rafael B (1996) Heavy metals incidence in the application of inorganic fertilizers and pesticides to rice farming soils. Enviorn Pollut 92:19–25. https://doi.org/10.1016/0269-7491(95)00090-9

Farrag AA (1997) Complementary groundwater and soil studies on Wadi El-Assiuti by the help of Satellite Images and GIS technique. Bull Fac Sci Assiut Univ 26(3-F):45–64

Farrag AA (2007) On the groundwater assessment and management in Wadi El Assiuti, Eastern Desert, Egypt. In: The fifth international conference on the geology of Africa, Assiut University, vol 1, pp 11–48

Farrag AA, Riad S, Ahmed MH (2002) Groundwater situation and evaluation in the Nile Basin East of Assiut, Egypt. J Eng Sci Assiut Univ 30(2):517–542

Farrag AEA, Megahed HA, Darwish MH (2019) Remote sensing, GIS and chemical analysis for assessment of environmental impacts on rising of groundwater around Kima Company, Aswan, Egypt. Bull Natl Res Centre 43:14. https://doi.org/10.1186/s42269-019-0056-3

Fishman MG, Friedman LC (1985) Methods for determination of inorganic substances in water and fluvial sediments. U. S. Geol. Surv., Book 5, Chapter. A1. Open File Report, Denver, Colorado, USA, pp 85–495. https://doi.org/10.3133/twri05A1

Freeze RA, Cherry JA (1979) Groundwater. Prentice-Hall, Englewood Cliffs

Gaber A, Soliman F, Koch M, El-Baz F (2015) Using full-polarimetric SAR data to characterize the surface sediments in desert areas: a case study in El-Gallaba Plain, Egypt. Remote Sens Environ 162:11–28

Gleick PH (1993) Water and Conflict: fresh water resources and international security. Int Secur 18(1):79–112. https://doi.org/10.2307/2539033

Hamed S, Abbas A, Mahmood Y, Ali AM, Fazlollah CK (2018) Data on assessment of groundwater quality for drinking and irrigation in rural area Sarpol-e Zahab city, Kermanshah Province, Iran. Data Brief 17:148–156. https://doi.org/10.1016/j.dib.2017.12.061

Hegazy D, Abotalib Z, El-Bastaweesy M, Al-Said M, Melegy A, Garamoon H (2020) Geo-environmental impacts of hydrogeological setting and anthropogenic activities on water quality in the Quaternary aquifer southeast of the Nile Delta, Egypt. Afr Earth Sci. https://doi.org/10.1016/j.jafrearsci.2020.103947

Hem JD (1970) Study and interpretation of the chemical characteristics of natural water, northeast of Assiut. PhD thesis, Assiut University, Assiut

Himida IH (1970) The Nubian artesian basin, its regional hydrogeological aspects and palaeohydrological reconstruction. J Hydrol Neozeland 9(2):89–116

Hussien HM, Kehew AE, Aggour T, Korany E, Abotalib AZ, Hassanein A, Morsy S (2017) An integrated approach for identification of potential aquifer zones in structurally controlled terrain: Wadi Qena basin, Egypt. CATENA 149:73–85

Keheila EA (1983) Sedimentology and stratigraphy of the carbonate rocks in the area northeast of Assiut. PhD thesis, submitted to Geology Department, Assiut University

Klitzsch E, List FK, Pohlmann G (1987) Geological map of Egypt 1:500.000, map sheet NG 35 Dakhla. The Egyptian General Petroleum Corporation, CONOCO, Berlin.

Levallois P, Thériault M, Rouffignat J, Tessier S, Landry R, Ayotte P, Girard M, Gingras S, Guavin D, Chiasson C (1998) Groundwater contamination by nitrates associated with intensive potato culture in Québec. Sci Total Environ 217:91–101. https://doi.org/10.1016/s0048-9697(98)00191-0

Mahmood Y, Hossein NS, Ali AM, Amir HM, Mansour G, Hamed S (2017) Data on water quality index for the groundwater in rural area Neyshabur County, Razavi Province, Iran. Data Brief 15:901–907. https://doi.org/10.1016/j.dib.2017.10.052

Mahmood Y, Hossein NS, Amir HM, Mahmood A, Ramin N, Ali AM (2018) Data on corrosion and scaling potential of drinking water resources using stability indices in Jolfa, East Azerbaijan, Iran. Data Brief 16:724–731. https://doi.org/10.1016/j.dib.2017.11.099

Mansour HH, Philobbos ER (1983) Lithostratigraphic classification of the surface Eocene carbonates of the Nile Valley, Egypt: a review. Bull Fac Sci Assiut Univ 12(2):129–151

Megahed HA, Farrag AEA (2019) Groundwater potentiality and evaluation in the Egyptian Nile Valley: case study from Assiut Governorate using hydrochemical, bacteriological approach, and GIS techniques. Bull Natl Res Centre 43:48. https://doi.org/10.1186/s42269-019-0091-0

Mohamed L, Sultan M, Ahmed M, Zak A, Sauck W, Soliman F, Yan E, Elkadiri R, Abouelmagd A (2015) Structural controls on groundwater flow in basement terrains: geophysical, remote sensing, and field investigations in Sinai. Surv Geophys 36(5):717–742

Mohammad SMT, Janardhana MR, Mohamed MA (2019) Hydrochemical processes and groundwater quality assessment in North eastern region of Jordan valley, Jordan. HydroResearch 2:129–145. https://doi.org/10.1016/j.hydres.2020.02.001

Mousa SE, Attia FA, El Fotouh A (1993) Geoelectric investigation for groundwater at Wadi El-Asyuti, Egypt. Ain Shams Sci Bull 31:425–439

Negm AM, Sakr S, Abd-Elaty I, Abd-Elhamid HF (2018) An overview of groundwater resources in Nile Delta Aquifer. In: Negm AM (ed) Groundwater in the Nile Delta. Springer, Cham, pp 3–44

Omara S, El-Tahlawi MR (1972) Limestone “dykes” in the Nile Valley around Assiut, Upper Egypt. N. Jb. Geol. Paleont. Mn, Stuttgart, pp 475–483

Omara S, El-Tahlawi MR, Hafez H (1970) The geology of the environs of Assiut. Bulletin of the Egyptian Geographical Society, Cairo, p 43

Omara S, Tahlawi MR, Abd El-Kireem H (1973) Detailed geological mapping of the area between the latetudes of Sohag and Girga, east of the Nile Valley. Bull. Fac. Eng., Assiut University, pp 149–166

Ongley ED (1999) Water quality: an emerging global crisis. In: Trudgill ST, Walling DE, Webb BW (eds) Water quality: processes and policy. Wiley, London, pp 29–31

Osman HZ (1980) Geological studies on the area to the Northwest of Assiut, MSc thesis, Assiut University

Parkhurst DL, Appelo CAJ (1999) User’s guide to PHREEQCA computer program for speciation, reaction-path, 1D transport, and inverse geochemical calculations. U.S. Geological Survey Water-Resources Investigations Report

Paul R, Brindha K, Gowrisankar G et al (2019) Identification of hydrogeochemical processes controlling groundwater quality in Tripura, Northeast India using evaluation indices, GIS, and multivariate statistical methods. Environ Earth Sci 78:470. https://doi.org/10.1007/s12665-019-8479-6

Picker H, Hawkins S, Pehrson E (1992) Irrigation practices, herbicides use, and groundwater contamination in citrus production: a case study in California. Agric Ecosyst Environ 14(1):1–17. https://doi.org/10.1016/0167-8809(92)90176-C

Piper AM (1944) A graphic procedures in geochemical interpretation of water analysis. Trans Am Geophys Union 25:914–928. https://doi.org/10.1029/TR025i006p00914

Pogotto C, RemyN LM, Cloriec P (2001) Heavy metal pollution of road dust and roadside soil near a major rural highway. Environ Technol 22:207–319. https://doi.org/10.1080/09593332208618280

Rainwater FH, Thatcher LL (1960) Methods for collection and analysis of water samples. US Geol. Surv., Water Supply, paper No. 1454, USA

Rangsivek R, Jekel R (2005) Removal of dissolved metals by zero-valent iron (ZVI): kinetics, equilibria, processes and implications for stormwater runoff treatment. Water Res 39:4153–4163. https://doi.org/10.1016/j.watres.2005.07.040

Richards A (1954) Diagnosis and improvement of saline and alkali soils. USDA Handb 78(2):85–88

Romic M, Romic D (2003) Heavy metal distribution in agricultural topsoil in urban area. Environ Geol 45(97):795–805. https://doi.org/10.1007/s00254-002-0694-9

Said R (1961) Tectonic framework of Egypt and its influence and distribution of foraminifera. Am Ass Petrol Geol Bull 45:198–218. https://doi.org/10.1306/0BDA6335-16BD-11D7-8645000102C1865D

Said R (1962) The geology of Egypt. Elsevier, Amsterdam

Said R (1981) The geological evolution of the River Nile. Springer, New York. https://doi.org/10.1007/978-1-4612-5841-4

Book   Google Scholar  

Said R (1990) The Geology of Egypt. Elsevier, New York

Santos A, Alonso E, Callejon M, Jimenez C (2002) Distribution of Zn, Cd, Pb, and Cu metals in groundwater of the Guadiamar River Basin. Water Air Soil Pollut J 134(1–4):273–283. https://doi.org/10.1023/A:1014149107094

Satyajit KG, Ajaykumar KK, Ritish RR, Akanksha SK, Vasant MW, Vinash MK, Suryakant PG, Ramdas BM, Namdev JP, Kishor DK (2020) Assessment of the groundwater geochemistry from a part of west coast of India using statistical methods and water quality index. HydroResearch 3:48–60. https://doi.org/10.1016/j.hydres.2020.04.001

Shama KM (1972) Geology of the area between Manfalut and Dairut. MSc thesis, Faculty of Science, Assiut University

Sulin VA (1948) Basis of classification of natural water. Moscow-Leningrad Academy of Science, USSR, pp 55–67

Sultan M, Yan E, Sturchio N, Wagdy A, Gelil KA, Becker R, Manocha N, Milewski A (2007) Natural discharge: a key to sustainable utilization of fossil groundwater. J Hydrol 335(1–2):25–36

Tanji K, Valoppi L (1989) Groundwater contamination by trace elements. Agric Ecosyst Environ 26(3–4):229–274. https://doi.org/10.1016/0167-8809(89)90015-7

U.S. Salinity Laboratory Staff (1954) Diagnoses and improvement of saline and alkali soils. U.S. Dept. Agr., handbook No. 60, Washington, DC. https://doi.org/10.1126/science.120.3124.800

WHO (World Health Organisation) (2004) Guidelines for drinking water quality, vol 1, 2nd edn. Recommendations, WHO, Geneva, p 130

Wilcox LV (1955) Classification and use of irrigation waters. USDA, Washington, DC Circular, p 969

Yousef AF (2008) The impact of North West active fault system on the recharge of the quaternary aquifer system around the Nile valley: case study Wadi El-Assiuti, Eastern Desert, Egypt. Eur Water 21(22):41–55

Youssef MM, Mansour HH, Philobbos ER, Osman ZL (1982) Contribution to the geology of the area northwest of Assiut, Egypt. Bull Fac Sci Assiut Univ 11:335–354

Youssif M, Hussien HM, Abotalib AZ (2020) The respective roles of modern and paleo recharge to alluvium aquifers in continental rift basins: a case study from El Qaa plain, Sinai, Egypt. Sci Total Environ 739:139927

Yuan F, Sawaya KE, Loeffelholz BC, Bauer ME (2005) Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sens Environ 98:317–332. https://doi.org/10.1016/j.rse.2005.08.006

Zwolak A, Sarzyńska M, Szpyrka E et al (2019) Sources of soil pollution by heavy metals and their accumulation in vegetables: a review. Water Air Soil Pollut 230:164. https://doi.org/10.1007/s11270-019-4221-y

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HAM contributed her idea, studied the geology and climate of the study area, collected the groundwater samples, performed the chemical analyses of these samples and representation of the hydrochemical data were used by the Geographic Information System (Arc GIS Ver 10.1) software to determine the suitability of groundwater for drinking and irrigation uses. Finally, reviewed and writing the final manuscript. The author read and approved the final manuscript.

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Megahed, H.A. GIS-based assessment of groundwater quality and suitability for drinking and irrigation purposes in the outlet and central parts of Wadi El-Assiuti, Assiut Governorate, Egypt. Bull Natl Res Cent 44 , 187 (2020). https://doi.org/10.1186/s42269-020-00428-3

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DOI : https://doi.org/10.1186/s42269-020-00428-3

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  • Groundwater
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