Integration of hydrogeological data, GIS and AHP techniques applied to delineate groundwater potential zones in sandstone, limestone and shales rocks of the Damoh district, (MP) central India

被引:52
作者
Moharir, Kanak N. [1 ]
Pande, Chaitanya B. [2 ,6 ,7 ]
Gautam, Vinay Kumar [3 ]
Singh, Sudhir Kumar [4 ]
Rane, Nitin Liladhar [5 ]
机构
[1] Banasthali Vidyapith, Dept Remote Sensing, Jaipur, India
[2] Indian Inst Trop Meteorol, Pune, India
[3] MPUAT, Dept Soil & Water Engn, CTAE, Udaipur 313001, India
[4] Univ Allahabad, K Banerjee Ctr Atmospher & Ocean Studies, Nehru Sci Ctr, IIDS, Prayagraj 211002, Uttar Pradesh, India
[5] Vivekanand Educ Soc, Architecture, Coll Architecture VESCOA, Mumbai, India
[6] Univ Tenaga Nas, Inst Energy Infrastruct, Kajang 43000, Malaysia
[7] Al Ayen Univ, Sci Res Ctr, New Era & Dev Civil Engn Res Grp, Thi Qar 64001, Nasiriyah, Iraq
关键词
LULC; ROC; AHP; Hydrogeological; Groundwater; Madhya Pradesh; MULTICRITERIA DECISION-ANALYSIS; ANALYTIC HIERARCHY PROCESS; INFORMATION-SYSTEM; ANANTAPUR DISTRICT; FREQUENCY RATIO; ANDHRA-PRADESH; TERRAIN; REGION; BASIN; MODEL;
D O I
10.1016/j.envres.2023.115832
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Damoh district, which is located in the central India and characterized by limestone, shales, and sandstone compact rock. The district has been facing groundwater development challenges and problems for several decades. To facilitate groundwater management, it is crucial to monitoring and planning based on geology, slope, relief, land use, geomorphology, and the types of the basaltic aquifer in the drought-groundwater deficit area. Moreover, the majority of farmers in the area are heavily dependent on groundwater for their crops. Therefore, delineation of groundwater potential zones (GPZ) is essential, which is defined based on various thematic layers, including geology, geomorphology, slope, aspect, drainage density, lineament density, topographic wetness index (TWI), topographic ruggedness index (TRI), and land use/land cover (LULC). The processing and analysis of this information were carried out using Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) methods. The validity of the results was trained and tested using Receiver Operating Characteristic (ROC) curves, which showed training and testing accuracies of 0.713 and 0.701, respectively. The GPZ map was classified into five classes such as very high, high, moderate, low, and very low. The study revealed that approximately 45% of the area falls under the moderate GPZ, while only 30% of the region is classified as having a high GPZ. The area receives high rainfall but has very high surface runoff due to no proper developed soil and lack of water conservation structures. Every summer season show a declined groundwater level. In this context, results of study area are useful to maintain the groundwater under climate change and summer season. The GPZ map plays an important role in implementing artificial recharge structures (ARS), such as percolation ponds, tube wells, bore wells, cement nala bunds (CNBs), continuous contour trenching (CCTs), and others for development of ground level. This study is significant for developing sustainable groundwater management policies in semi-arid regions, that are experiencing climate change. Proper groundwater potential mapping and watershed development policies can help mitigate the effects of drought, climate change, and water scarcity, while preserving the ecosystem in the Limestone, Shales, and Sandstone compact rock region. The results of this study are essential for farmers, regional planners, policy-makers, climate change experts, and local governments, enabling them to understand the groundwater development possibilities in the study area.
引用
收藏
页数:18
相关论文
共 111 条
[1]   A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia [J].
Abd Manap, Mohamad ;
Sulaiman, Wan Nor Azmin ;
Ramli, Mohammad Firuz ;
Pradhan, Biswajeet ;
Surip, Noraini .
ARABIAN JOURNAL OF GEOSCIENCES, 2013, 6 (05) :1621-1637
[2]   Multi-criteria decision analysis for delineation of groundwater potential zones in a tropical river basin using remote sensing, GIS and analytical hierarchy process (AHP) [J].
Achu, A. L. ;
Thomas, Jobin ;
Reghunath, Rajesh .
GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2020, 10
[3]   Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique [J].
Agarwal, Rajat ;
Garg, P. K. .
WATER RESOURCES MANAGEMENT, 2016, 30 (01) :243-260
[4]   Groundwater potential mapping at northeastern Wasit and Missan governorates, Iraq using a data-driven weights of evidence technique in framework of GIS [J].
Al-Abadi, Alaa M. .
ENVIRONMENTAL EARTH SCIENCES, 2015, 74 (02) :1109-1124
[5]   Delineating of groundwater potential zones based on remote sensing, GIS and analytical hierarchical process: a case of Waddai, eastern Chad [J].
Al-Djazouli, Mahamat Ouchar ;
Elmorabiti, Karim ;
Rahimi, Abdelmejid ;
Amellah, Omayma ;
Fadil, Omer Abdelrahim Mohammed .
GEOJOURNAL, 2021, 86 (04) :1881-1894
[6]   Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia [J].
Andualem, Tesfa Gebrie ;
Demeke, Girum Getachew .
JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2019, 24
[7]  
Anselin L., 2006, Spatial Economic Analysis, V1, P31, DOI [10.1080/17421770600661337, DOI 10.1080/17421770600661337]
[8]   Groundwater potential zone identification using an analytic hierarchy process in Dhaka City, Bangladesh [J].
Arefin, Riad .
ENVIRONMENTAL EARTH SCIENCES, 2020, 79 (11)
[9]   Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan [J].
Arshad, Arfan ;
Zhang, Zhijie ;
Zhang, Wanchang ;
Dilawar, Adil .
GEOSCIENCE FRONTIERS, 2020, 11 (05) :1805-1819
[10]   GIS and AHP Techniques Based Delineation of Groundwater Potential Zones: a case study from Southern Western Ghats, India [J].
Arulbalaji, P. ;
Padmalal, D. ;
Sreelash, K. .
SCIENTIFIC REPORTS, 2019, 9 (1)