Keywords
Jordan
groundwater recharge
GIS
MCDA
WLC
How to Cite
Abstract
DOI: 10.17014/ijog.5.3.199-209This study aims to locate new groundwater recharge sites in the arid region of northern Badia, Jordan, based on specific criteria including lithology, drainage and lineament density, soil texture, slope, and rainfall. With groundwater serving as the key source of Jordanian drinking water, the use of surface water for groundwater recharge is essential in maximizing the groundwater available. Groundwater recharge sites were selected using the weighted linear combination (WLC) method with the aforementioned criteria. According to the findings, 5.064% of the region is very highly suited to groundwater recharge, 33.599% of the region is highly suited, and 3.789% of the region is moderately suited. However, 26.634% of the region is poorly suited to groundwater recharge, with a further 30.943% being very poorly suited. The significance of each criterion for groundwater recharge was identified using removal analysis, with the most significant factor being efficient groundwater management. Given this finding, big data are required in order to determine the optimal locations for groundwater recharge as part of future groundwater planning and management.References
Al-Adamat, R., 2012. The Use of GIS and Google Earth for Preliminary Site Selection of Groundwater Recharge in the Azraq Oasis Area-Jordan. Journal of Water Resource and Protection, 4 (6), p.395-399. DOI: 10.4236/jwarp.2012.46045
Al-Adamat, R., 2017. Modelling Surface Water Susceptibility to Pollution Using GIS. Journal of Geographic Information System, 9 (03), p.293-308. DOI: 10.4236/jgis.2017.93018
Al-Adamat, R. and Al-Shabeeb, A.A.R., 2017. A Simplified Method for the Assessment of Groundwater Vulnerability to Contamination. Journal of Water Resource and Protection, 9(03), p.305-321. DOI: 10.4236/jwarp.2017.93020
Al-Adamat, R., Rawajfih, Z., Easter, M., Paustian, K., Coleman, K., Milne, E., and Batjes, N.H., 2007. Predicted soil organic carbon stocks and changes in Jordan between 2000 and 2030 made using the GEFSOC Modelling System. Agriculture, ecosystems and environment, 122 (1), p.35-45. DOI: 10.1016/j.agee.2007.01.006
Al-Adamat, R., 2008. GIS as a decision support system for siting water harvesting ponds in Jordan. Journal of Environmental Assessment Policy and Management, 10 (2), p.189-206.
Al-Adamat, R., Abdullah Diabat, and Ghada Shatnawi, 2010. Combining GIS with multicriteria decision making for siting water harvesting ponds in northern Jordan, Journal of Arid Environments. 74, p.1471-1477. DOI:10.1016/j.jaridenv.2010.07.001.
Al-Amoush, H., Al-Shabeeb, A.R., Al-Ayyash, S., Al-Adamat, R., Ibrahim, M., and Rajab, J.A., 2016. Geophysical and Hydrological
Investigations of the Northern Wadis Area of Azraq Basin for Groundwater Artificial Recharge Purposes. International Journal of
Geosciences, 7 (05), p.744. DOI: 10.4236/ijg.2016.75057
Al-Shabeeb, A. A. R., 2015. A modified analytical hierarchy process method to select sites for groundwater recharge in Jordan. Unpublished PhD thesis, Department of Geography, Leicester University, UK.
Carver, S.J., 1991. Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information System, Vol. (5), No. (3), pp. 321-339.
Eastman, J., 2001. IDRISI 32-Release 2 Guide to GIS and Image Processing, Vol. 2.Clark Labs.Clark University, United States of America.
Fortes P.S, Platonov A.E, Pereira L.S., 2005. GISAREG—a GIS based irrigation scheduling simulation model to support improved water use. Agriculture Water Management, Vol. (77), pp.159–179.
Ghayoumian, J., Saravi, M. M., Feiznia, S., Nouri, B., and Malekian, A. (2007). Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran. Journal of Asian Earth Sciences, Vol. (30), No. (2), pp. 364-374.
Ghayoumian, J, Shoaei, Z, Karimnejad, H.R, Ghermezcheshmeh, B, Abdi, P., 2002. Some examples of artificial recharge of aquifers by flood spreading in Iran. In: Van Rooy, J.L., Jermy, C.A. (Eds.), Proceedings of the 9th Congress of the International Association for the Engineering Geology and the Environment. Balkema, Rotterdam, pp. 1529–1537.
Gogu R, Dassargues, A., 2000. Sensivity analysis for the EPIK method of vulnerability assessment in a small karstic aquifer, southern Belgium. Hydrogeology JournalVol. (8, No.(3), pp. 337–345.
Hammouri, N, Al-Amoush, H. Al-Raggad, M. and Harahsheh, S., 2014. Groundwater recharge zones mapping using GIS: a case study in Southern part of Jordan Valley, Jordan. Arabian Journal of Geosciences, Vol. (7), No. (7), pp.2815-2829.
Han, Z., 2003. Groundwater resources protection and aquifer recovery in China. Environmental Geology, Vol. (44), No. (1), pp. 106–111.
Krishnamurthy, J., and Srinivas, G., 1995. Role of geological and geomorphological factors in groundwater exploration: a study using IRS LISS data. International Journal of Remote Sensing Vol. (16), No. (14), pp. 2595–2618.
Krishnamurthy, J., Venkatesa Kumar, N., Jayaraman, V., Manivel, M., 1996. An approach to demarcate groundwater potential zones through remote sensing and geographical information system. International Journal of Remote Sensing, Vol. (17), No. (10), pp. 1867–1884.
Lloyd, J.W., 1986. A review of aridity and groundwater. Hydrological processes, Vol. (1), No. (1), pp. 63-78.
Lodwick, W.A., Monson, W. and Svoboda, L. (1990) Attribute Error and Sensitivity Analysis of Map Operations in Geographical Information Systems: Suitability Analysis. International Journal of Geographical Information Systems, Vol. (4), pp. 413-428.
Napolitano, P, Fabbri, A., 1996. Single parameter sensivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS. In: Kovar K, Nachtenebel H (eds) PrcHydroGIS: application of geographic information systems in hydrology and water resources management, Vol(234). IAHS Publication, pp. 559–566.
Nouri, B., 2003. Identification of suitable sites for groundwater artificial recharge using remote sensing and GIS in Gavbandi Watershed. M.Sc. thesis, Faculty of Natural Resources, Tehran University, Iran, 106 p.
Saraf, A.K., Choudhury, P.R., 1998. Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. International Journal of Remote Sensing Vol. (19), No. (10), pp. 2595–2616.
Sargaonkar, Aabha, P., Barkha, Rathi, and Archana, Baile., 2011. Identifying potential sites for artificial groundwater recharge in sub-watershed of River Kanhan, India. Environmental earth Sciences, 62 (5), p.1099-1108.
Shatnawi, G., 2006. Determine the Best Sites for Water Harvesting Projects (Dams & Hafirs) in Northeastern Badia Using GIS Applications, Unpublished M.Sc. Thesis, Al Al-Bayt University, Jordan.
Shirahatti, M. S., Ranghswami, M. V., Sivasamy, R., Bosu, S. S., Manjunath, M. V., and Guled, M. B., 2010. Application of Remote Sensing and GIS Techniques for Groundwater Recharge Site Selection in Hard Rock Areas- A Case Study from South India, found at: https://www.crida.in/TOT-Winter%20Scholl/MSS%20etal.pdf [28 Nov. 2017].
Spandre, R., 2006. Groundwater Vol. III - Artificial Groundwater Recharge, Encyclopedia of Life Support Systems (EOLSS), found at: https://www.eolss.net/sample-chapters/c07/e2-09-06-06.pdf [26 Nov 2017].
Srivastava, R.C., 1996. Methodology for optimizing of integrated tank irrigation system. Journal of Water Resource Planning and
Management, 122 (6), p.394-402.
Zehtabian, G.R., Alavipanah, S.K., and Hamedpanah, R., 2000. Determination of an appropriate area for flood water spreading by remote sensing data and GIS. In: Proceedings of the International Conference on New Technology for a New Century, Seoul, Korea, p.1-6.