Multi-criteria decision analysis for groundwater potential zones delineation using geospatial tools and Analytical Hierarchy Process (AHP) in Nand Samand Catchment, Rajasthan, India

被引:10
作者
Dimple [1 ]
Singh, Pradeep Kumar [1 ]
Kothari, Mahesh [1 ]
Yadav, Kamal Kishore [2 ]
Bhakar, Sita Ram [1 ]
机构
[1] Coll Technol & Engn, Dept Soil & Water Engn, MPUAT, Udaipur 313001, Rajasthan, India
[2] Rajasthan Coll Agr, Dept Agr Chem & Soil Sci, MPUAT, Udaipur 313001, Rajasthan, India
关键词
AHP; GWPz; Geographic information system; Thematic layers; Nand Samand Catchment; Rajasthan; GIS; RECHARGE; DISTRICT; REGION; IRAN;
D O I
10.1007/s10668-023-03177-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Developing groundwater potential zones (GWPz) is important to determine the realistic groundwater availability scenario and to formulate plans for its optimal utilization to achieve groundwater sustainability. This investigation aimed to delineate GWPz in the Nand Samand Catchment, Rajasthan, India, utilizing an integrated method of remote sensing, geographic information system, and analytical hierarchy process (AHP). The present study used ten thematic layers, viz., lineament density, well recharge, geomorphology, soil, topographic elevation, slope, rainfall, transmissivity, the post-monsoon water level in the well and land use/land cover for the GWPz delineation. The delineated GWPz in the research area were classified as 'good (G),' 'moderate (M),' 'poor (P)' and 'very poor (VP).' Results showed that 'good' GWPz constituted about 21.23% of the catchment area. The southeast area and small patches of the western side of the research area have 'moderate' groundwater potential, covering 53.18% of the total area. Approximately 23.77% area was found with poor GWPz. In the research area, 1.82% area represents very poor groundwater potential. In the present study, the GWPz map was validated using sixteen randomly selected wells yield data (liters per day), and an accuracy of 81.25% was found with the delineated GWPz map. Furthermore, the receiver operating characteristics curve was also used for the validation, indicating a satisfactory accuracy prediction (AUC = 0.889). Validation by both methods justifies the efficiency of the AHP technique for the groundwater potential zoning. Finally, this work establishes a viable method for assessing the potential availability of groundwater, which will be helpful in the future for the planning and managing groundwater resources.
引用
收藏
页码:14003 / 14037
页数:35
相关论文
共 75 条
[1]   Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS [J].
Abd Manap, Mohamad ;
Nampak, Haleh ;
Pradhan, Biswajeet ;
Lee, Saro ;
Sulaiman, Wan Nor Azmin ;
Ramli, Mohammad Firuz .
ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (02) :711-724
[2]  
Abe MW., 2022, Research Square, DOI [10.2203/rs.3.rs-1717795/v1, DOI 10.2203/RS.3.RS-1717795/V1]
[3]   Delineation of potential groundwater recharge zones in the coastal area of north-eastern India using geoinformatics [J].
Acharya, Tapas ;
Kumbhakar, Sujoy ;
Prasad, Rajesh ;
Mondal, Surajit ;
Biswas, Arkoprovo .
SUSTAINABLE WATER RESOURCES MANAGEMENT, 2019, 5 (02) :533-540
[4]   Geochemical characterization and evaluation of groundwater suitability for domestic and agricultural utility in semi-arid region of Basara, Telangana State, South India [J].
Adimalla, Narsimha ;
Venkatayogi, Sudarshan .
APPLIED WATER SCIENCE, 2018, 8 (01)
[5]   Identification of Groundwater Potential Recharge Zones in Flinders Ranges, South Australia Using Remote Sensing, GIS, and MIF Techniques [J].
Ahmed, Alaa ;
Alrajhi, Abdullah ;
Alquwaizany, Abdulaziz S. .
WATER, 2021, 13 (18)
[6]   Mapping of lineaments for groundwater assessment in the Desert Fringes East El-Minia, Eastern Desert, Egypt [J].
Ahmed, Alaa ;
El Ammawy, Mahmoud ;
Hewaidy, Abdel Galil ;
Moussa, Bothaina ;
Hafz, Nabil Abdel ;
El Abd, El Sayed .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2019, 191 (09)
[7]   Identification of the Groundwater Potential Recharge Zones Using MCDM Models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP) [J].
Akbari, Maryam ;
Meshram, Sarita Gajbhiye ;
Krishna, R. S. ;
Pradhan, Biswajeet ;
Shadeed, Sameer ;
Khedher, Khaled Mohamed ;
Sepehri, Mehdi ;
Ildoromi, Ali Reza ;
Alimerzaei, Fereshteh ;
Darabi, Fariba .
WATER RESOURCES MANAGEMENT, 2021, 35 (14) :4727-4745
[8]   Integrated remote sensing and GIS techniques to delineate groundwater potential area of Chamchamal basin, Sulaymaniyah, NE Iraq [J].
Al-Manmi, Diary A. Mohammed ;
Mohammed, Sarkhel H. ;
Szucs, Peter .
KUWAIT JOURNAL OF SCIENCE, 2021, 48 (03)
[9]   Promoting artificial recharge to enhance groundwater potential in the lower Bhavani River basin of South India using geospatial techniques [J].
Anand, B. ;
Karunanidhi, D. ;
Subramani, T. .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (15) :18437-18456
[10]  
[Anonymous], 2018, Nature-Based Solutions for Water