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Implementation of the Quality and Creating GIS Maps for Groundwater in Babylon, Iraq

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In times of water scarcity, groundwater is a vital resource that provides an alternate source of water for human consumption. In Iraq, the quality of rivers has been greatly affected by climate change and the dwindling availability of surface water. Examining and classifying the groundwater in this region is now vital. The present study sought to incorporate the groundwater property data (drinking purpose) with a geographic information system (GIS). Eleven variables were measured in 25 wells to investigate the physio-chemical properties around the Babylon province of Iraq. On the basis of the acceptability of groundwater for drinking, GWQI was categorized into four primary groups in the results. Approximately 28% of the twenty-five wells (1811.04 km2) are of excellent quality, 24% are of good quality (1552.3 km2), 44% are of low quality (2845.9 km2), and 4% are extremely contaminated (2587.2 km2). The average GWQI for the entire study region was 110.7, making it inappropriate for human consumption. It has been determined that approximately 52% of the groundwater from the examined wells can be deemed safe for consumption, although certain measurements surpass the permissible limits. To guarantee that the residents in these areas are supplied with water of superior quality and safety, treatment of the tested groundwater is recommended before use.
Rocznik
Strony
310--321
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
  • Department of Civil Engineering, College of Engineering, University of Babylon, Babylon 51001, Iraq
  • Department of Environment Engineering, College of Engineering, University of Babylon, Babylon 51001, Iraq
  • Department of Civil Engineering, College of Engineering, University of Babylon, Babylon 51001, Iraq
autor
  • Department of Environment Engineering, College of Engineering, University of Babylon, Babylon 51001, Iraq
  • Collage of Water Resource Engineering, AL-Qasim Green University, Babylon 51031, Iraq
  • Department of Civil Environmental and Natural Resources Engineering, Lulea University of Technology, SE-97187 Lulea, Sweden
autor
  • Department of Civil Environmental and Natural Resources Engineering, Lulea University of Technology, SE-97187 Lulea, Sweden
Bibliografia
  • 1. Agrawal, P., Sinha, A., Kumar, S., Agarwal, A., Banerjee, A., Villuri, V.G.K., Annavarapu, C.S.R., Dwivedi, R., Dera, V.V.R., Sinha, J., Pasupuleti, S. 2021. Exploring artificial intelligence techniques for groundwater quality assessment. Water, 13(9), 1172.
  • 2. Akhtar, N., Ishak, M.I.S., Ahmad, M.I., Umar, K., Md Yusuff, M.S., Anees, M.T., Qadir, A., Ali Almanasir, Y.K. 2021. Modification of the water quality index (WQI) process for simple calculation using the multi-criteria decision-making (MCDM) method: a review. Water, 13(7), 905.
  • 3. Ali, S.K. 2017. Assessment of the Tigris River water quality in selected Iraqi governments. International Journal of Science and Research, 7, 500–504.
  • 4. Alikhan, H.A., Hussein, A.K., Alshukri, A.S. 2020. Groundwater quality assessment using water quality index: A case study of Al Najaf City, Iraq. Periodicals of Engineering and Natural Sciences (PEN), 8(3), 1482–1490.
  • 5. Al-Madhlom, Q., Al-Ansari, N., Hamza, B.A., Laue, J., Hussain, H.M. 2020. Seepage velocity: large scale mapping and the evaluation of two different aquifer conditions (silty clayey and sandy). Hydrology, 7(3), 60.
  • 6. Alsaqqar, A.S., Hashim, A., Mahdi, A. 2015. Water quality index assessment using GIS case study: Tigris River in Baghdad City. International Journal of Current Engineering and Technology, 5(4), 2515–2520.
  • 7. Aly, A.A., Al-Omran, A.M., Alharby, M.M. 2015. The water quality index and hydrochemical characterization of groundwater resources in Hafar Albatin, Saudi Arabia. Arabian Journal of Geosciences, 8, 4177–4190.
  • 8. Banda, T.D., Kumarasamy, M.V. 2020. Development of Water Quality Indices (WQIs): A Review. Polish Journal of Environmental Studies, 29(3).
  • 9. Bora, M., Goswami, D.C. 2017. Water quality assessment in terms of water quality index (WQI): case study of the Kolong River, Assam, India. Applied Water Science, 7, 3125–3135.
  • 10. Bouderbala, A. 2017. Assessment of water quality index for the groundwater in the upper Cheliff plain, Algeria. Journal of the Geological Society of India, 90(3), 347–356.
  • 11. Chabuk, A., Al-Maliki, A., Al-Ansari, N., Laue, J. 2020. Evaluation of the groundwater quality for irrigation: Case study of Hilla district, Babylon Province, Iraq. In IOP Conference Series: Materials Science and Engineering. IOP Publishing, 928(2), 1–19.
  • 12. Dandge, K.P., Patil, S.S. 2022. Spatial distribution of ground water quality index using remote sensing and GIS techniques. Applied Water Science, 12, 1–18.
  • 13. Eslami, F., Shokoohi, R., Mazloomi, S., Darvish Motevalli, M., Salari, M. 2017. Evaluation of water quality index (WQI) of groundwater supplies in Kerman Province in 2015. Journal of Occupational and Environmental Health, 3(1), 48–58.
  • 14. Gitau, M.W., Chen, J., Ma, Z. 2016. Water quality indices as tools for decision making and management. Water resources management, 30, 2591–2610.
  • 15. Krishan, G., Singh, S., Kumar, C.P., Garg, P., Suman, G., Ghosh, N.C., Chaudhary, A. 2016. Assessment of groundwater quality for drinking purpose by using water quality index (WQI) in Muzaffarnagar and Shamli Districts, Uttar Pradesh, India. Hydrol Current Research, 7(227), 2.
  • 16. Krishna Kumar, S., Logeshkumaran, A., Magesh, N.S., Godson, P.S., Chandrasekar, N. 2015. Hydrogeochemistry and application of water quality index (WQI) for groundwater quality assessment, Anna Nagar, part of Chennai City, Tamil Nadu, India. Applied Water Science, 5, 335–343.
  • 17. Mahmoud, A. S., et al. 2021. Object-oriented approach for urbanization growth by using remote sensing and gis techniques: a case study in Hilla city, Babylon Governorate, Iraq. Geospatial Technology and Smart Cities: ICT, Geoscience Modeling, GIS and Remote Sensing: 39–57.
  • 18. Makki, Z.F., Zuhaira, A.A., Al-Jubouri, S.M., Al-Hamd, R.K.S., Cunningham, L.S. 2021. GIS-based assessment of groundwater quality for drinking and irrigation purposes in central Iraq. Environmental monitoring and assessment, 193(2), 1–27.
  • 19. Mohammed, N.I., Abduljabar, K.A., Mahdi, H.S., Abdullah, H.M., Youssef, S. 2020. Groundwater quality assessment of Domiz refugee camp in Duhok governorate, Kurdistan region, Iraq. Zanco Journal of Pure and Applied Sciences, 32(4), 157–168.
  • 20. Othman, B.A., Ibrahim, E.S. 2021. Assessment of groundwater quality over the Erbil Plain based on water quality index. Zanco Journal of Pure and Applied Sciences, 33(S1), 1–10. https://doi.org/10.21271/ZJPAS.33.s1.1
  • 21. Reyes-Toscano, C.A., Alfaro-Cuevas-Villanueva, R., Cortes-Martinez, R., Morton-Bermea, O., Hernandez-Alvarez, E., Buenrostro-Delgado, O., Ávila-Olivera, J.A. 2020. Hydrogeochemical characteristics and assessment of drinking water quality in the urban area of Zamora, Mexico. Water, 12(2), 556.
  • 22. Shil, S., Singh, U.K., Mehta, P. 2019. Water quality assessment of a tropical river using water quality index (WQI), multivariate statistical techniques and GIS. Applied water science, 9, 1–21.
  • 23. Tripathi, M., Singal, S.K. 2019. Use of principal component analysis for parameter selection for development of a novel water quality index: a case study of river Ganga India. Ecological Indicators, 96, 430–436.
  • 24. World Health Organization (WHO). 2017. Guidelines for Drinking Water Quality”, first addendum, 4th Ed. WHO, Geneva.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5e17dba3-1b9a-450a-b051-64df469cd7a2
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