Document Type : Original Research Paper

Authors

1 M.S.c., Department of Earth Sciences, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran

2 Assistant Professor, Department of Earth Sciences, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran

Abstract

The water table in the Zanjanrood catchment has severely declined recently. Therefore, determination of the groundwater potential zoning map is of great importance for optimal management of water resources. Here, we used seven effective criteria including lithology, slope, drainage, lineament, rainfall, spring density and landuse to asses groundwater potential. The analytical hierarchical analysis process was used for weighting the criteria. Overlay analysis was implemented using TOPSIS model to prepare the groundwater potential map in four categories of priority including very-good, good, low and poor. In general, the very-good category corresponds with the first priority while the lowest potential of groundwater match with the fourth priority. The high-discharged production wells and the geoelectrical investigations (resistivity and induced polarization) were applied to verify the model. The spatial distribution of the high-discharge production wells has completely coincided with both the very-good and good priorities in the area. The results of resistivity and IP models also are in good agreement with those from the TOPSIS model. Overall, the results suggest there is no rich aquifer in mountains of the Zanjanrood catchment. Furthermore, the most important aquifer in the Zanjanrood catchment is located around the Zanjanrood River where a severe water table decline has occurred.

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Afshar, A., Mariño, M. A., Saadatpour, M. and Afshar, A., 2011- Fuzzy TOPSIS multi-criteria decision analysis applied to Karun reservoirs system. Water resources management, 25(2), 545-563.
Aggarwal, M., Saravanan, S., Jennifer, J. J. and Abijith, D., 2019- Delineation of Groundwater Potential Zones for Hard Rock Region in Karnataka Using AHP and GIS. In Advances in Remote Sensing and Geo Informatics Applications (pp. 315-317). Springer, Cham.
Ameri, A. A., Pourghasemi, H. R. and Cerda, A., 2018- Erodibility prioritization of sub-watersheds using morphometric parameters analysis and its mapping: A comparison among TOPSIS, VIKOR, SAW, and CF multi-criteria decision making models. Science of The Total Environment, 613, 1385-1400.
Arulbalaji, P., Padmalal, D. and Sreelash, K., 2019- GIs and AHp techniques Based Delineation of Groundwater potential Zones: a case study from southern Western Ghats, India. Scientific reports, 9(1), 2082.
Bali, R., Agarwal, K. K., Ali, S. N., Rastogi, S. K. and Krishna, K., 2012- Drainage morphometry of Himalayan Glacio-fluvial basin, India: hydrologic and neotectonic implications. Environmental Earth Sciences, 66(4), 1163-1174.
Freeze, A. R. and Cherry, J. A., 1979- Groundwater, GB1003.2.F73 551.4'98 78-25796 ISBN 0-13-365312-9.
Ganapuram, S., Kumar, G. V., Krishna, I. M., Kahya, E. and Demirel, M. C., 2009- Mapping of groundwater potential zones in the Musi basin using remote sensing data and GIS. Advances in Engineering Software, 40(7), 506-518.
Lin, H. T., 2010- Fuzzy application in service quality analysis: An empirical study, expert systemswith applications, 37(1): 517-526
Madani, K., 2014- Water management in Iran: what is causing the looming crisis?. Journal of environmental studies and sciences, 4(4), 315-328.
Magesh, N. S., Chandrasekar, N. and Soundranayagam, J. P., 2012- Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience Frontiers, 3(2), 189-196.
Mahmoud, S. H. and Alazba, A. A., 2016- Integrated remote sensing and GIS‐based approach for deciphering groundwater potential zones in the central region of Saudi Arabia. Environmental Earth Sciences, 75(4), 344.
Mukherjee, P., Singh, C. K. and Mukherjee, S., 2012- Delineation of groundwater potential zones in arid region of India—a remote sensing and GIS approach. Water resources management, 26(9), 2643-2672.
Pingping, H., Xue, S., Li, P. and Zhanbin, L., 2013- Effect of Vegetation Cover Types on Soil Infiltration Under Simulating Rainfall. Nature Environment and Pollution Technology, 12(2), 193.
Saaty, T. L., 1980- The analytic hierarchy process: planning, priority setting, resources allocation. New York: McGraw, 281.
Şener, E., Şener, Ş. and Davraz, A., 2018- Groundwater potential mapping by combining fuzzy-analytic hierarchy process and GIS in Beyşehir Lake Basin, Turkey. Arabian Journal of Geosciences, 11, 1-21.
Shih, H. S., Shyur, H. J. and Lee, E. S., 2007- An extension of TOPSIS for group decision making. Mathematical  and Computer Modelling, 45(7-8), 801-813.