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A Spatial Multi-Criteria Analysis Approach for Locating Suitable Sites for Construction of Subsurface Dams in Northern Pakistan

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Listed:
  • Imran Jamali
  • Ulla Mörtberg
  • Bo Olofsson
  • Muhammad Shafique

Abstract

Pakistan is an agricultural country with an increasing interest for hydropower. Water management problems such as sedimentation and evaporation have been of high concern for surface water reservoirs for many years. Therefore, groundwater storage through subsurface dams could be promising, especially considering the monsoon rainfall and seasonal river flows in Pakistan. The paper aims to develop and test a methodology to locate suitable sites for construction of subsurface dams using spatial multi-criteria analysis (SMCA) in the northern parts of Pakistan. For the study, spatial data on geology, slope, land cover, soil depth and topographic wetness index (TWI) was used. Two weighting techniques, i.e. the analytic hierarchy process (AHP) and the factor interaction method (FIM), were employed and compared. The sensitivity of the two methods as well as of the model parameters was analysed. The suitability map derived from AHP yielded about 3 % (16 km 2 ) of the total area as most suitable, about 4 % (22 km 2 ) as moderately suitable and about 0.8 % (5 km 2 ) as least suitable. The suitability map derived from FIM identified about 2.7 % (14 km 2 ) of the total area as most suitable, about 4 % (22 km 2 ) as moderately suitable and about 1 % (7 km 2 ) as least suitable. The sensitivity analyses suggested that AHP was a more robust weighting technique than FIM and that land cover was the most sensitive factor. The methodology presented here shows promising results and could be used in early planning to locate suitable sites for construction of subsurface dams. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Imran Jamali & Ulla Mörtberg & Bo Olofsson & Muhammad Shafique, 2014. "A Spatial Multi-Criteria Analysis Approach for Locating Suitable Sites for Construction of Subsurface Dams in Northern Pakistan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5157-5174, November.
  • Handle: RePEc:spr:waterr:v:28:y:2014:i:14:p:5157-5174
    DOI: 10.1007/s11269-014-0800-2
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    2. Omid Rahmati & Zahra Kalantari & Mahmood Samadi & Evelyn Uuemaa & Davoud Davoudi Moghaddam & Omid Asadi Nalivan & Georgia Destouni & Dieu Tien Bui, 2019. "GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    3. Soulis, Konstantinos X. & Manolakos, Dimitris & Anagnostopoulos, John & Papantonis, Dimitris, 2016. "Development of a geo-information system embedding a spatially distributed hydrological model for the preliminary assessment of the hydropower potential of historical hydro sites in poorly gauged areas," Renewable Energy, Elsevier, vol. 92(C), pages 222-232.
    4. Daeryong Park & Yeonjoo Kim & Myoung-Jin Um & Sung-Uk Choi, 2015. "Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis," Sustainability, MDPI, vol. 7(8), pages 1-17, July.
    5. Swati Maurya & Prashant K. Srivastava & Manika Gupta & Tanvir Islam & Dawei Han, 2016. "Integrating Soil Hydraulic Parameter and Microwave Precipitation with Morphometric Analysis for Watershed Prioritization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5385-5405, November.
    6. Azizallah Izady & Mohammad Sadegh Khorshidi & Mohammad Reza Nikoo & Ali Al-Maktoumi & Mingjie Chen & Hilal Al-Mamari & Amir H. Gandomi, 2021. "Optimal Water Allocation from Subsurface Dams: A Risk-Based Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4275-4290, September.

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