Multicriteria Analysis of Groundwater Potential in Valliyur Region, Tamil Nadu: Integrating Remote Sensing, GIS, and Analytical Hierarchy Process

被引:0
作者
Ravindran, A. Antony [1 ]
Promilton, A. Antony Alosanai [1 ,2 ]
Kingston, J. Vinoth [1 ]
Abishek, S. Richard [1 ]
Abinaya, R. [1 ]
Priya, R. Sakthi [1 ]
机构
[1] VO Chidambaram Coll, PG & Res Dept Geol, Thoothukudi, Tamil Nadu, India
[2] Manonmaniam Sundaranar Univ, Tirunelveli, Tamil Nadu, India
关键词
RS; GIS; AHP method; Weightage; Rank; Groundwater potential zone; ZONES;
D O I
10.1007/s41101-024-00285-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Groundwater is a vital resource particularly in hard rock terrains where surface water availability is limited. Effective mapping and delineation of groundwater potential zones is crucial for sustainable management and utilization of this precious resource. This study aims to delineate groundwater potential zones in the hard rock terrain of the Valliyur region, South India, using an integrated approach combining remote sensing, Geographic Information System (GIS), and the Analytical Hierarchy Process (AHP). Ten thematic layers represent factors influencing groundwater occurrence, including rainfall, topographic wetness index, geomorphology, lineament density, lithology, vegetation index, slope, soil type, land use/land cover, and drainage density derived from various data sources. The AHP multicriteria decision-making method is employed to assign weights to these parameters based on their relative importance, enabling the integration of weighted thematic layers into a groundwater potential index model. The study area is classified into five groundwater potential zones: very low (0.61%), low (2.46%), medium (52.46%), high (41.05%), and very high (3.42%). The predominance of the medium and high groundwater potential zones is attributed to favorable geomorphological features, suitable lithology, moderate to dense vegetation cover, and moderate rainfall conditions facilitating groundwater recharge processes. Validation of the delineated zones is conducted by comparing observed groundwater level fluctuations from 60 bore well samples, demonstrating an overall accuracy of 85% and a kappa coefficient of 0.77. The findings of this study can guide groundwater exploration, artificial recharge initiatives, and sustainable utilization strategies in the water-stressed hard rock terrain of the Valliyur region, while the integrated approach can be applied to other regions with similar geological and environmental conditions.
引用
收藏
页数:17
相关论文
共 50 条
[21]   Identifying groundwater recharge zones using remote sensing & GIS techniques in Amaravathi aquifer system, Tamil Nadu, South India [J].
Mohanavelu Senthilkumar ;
Devadasan Gnanasundar ;
Rethinam Arumugam .
Sustainable Environment Research, 29
[22]   Identifying groundwater recharge zones using remote sensing & GIS techniques in Amaravathi aquifer system, Tamil Nadu, South India [J].
Senthilkumar, Mohanavelu ;
Gnanasundar, Devadasan ;
Arumugam, Rethinam .
SUSTAINABLE ENVIRONMENT RESEARCH, 2019, 29 (1)
[23]   Groundwater potential assessment of an alluvial aquifer in Yamuna sub-basin (Panipat region) using remote sensing and GIS techniques in conjunction with analytical hierarchy process (AHP) and catastrophe theory (CT) [J].
Kaur, Lakhvinder ;
Rishi, Madhuri S. ;
Singh, Gagandeep ;
Thakur, Som Nath .
ECOLOGICAL INDICATORS, 2020, 110
[24]   Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique [J].
Kaliraj, S. ;
Chandrasekar, N. ;
Magesh, N. S. .
ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (04) :1385-1401
[25]   Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique [J].
S. Kaliraj ;
N. Chandrasekar ;
N. S. Magesh .
Arabian Journal of Geosciences, 2014, 7 :1385-1401
[26]   Evaluation of groundwater potential zones using remote sensing data in upper Vaigai river basin, Tamil Nadu, India [J].
Sankar K. .
Journal of the Indian Society of Remote Sensing, 2002, 30 (3) :119-129
[27]   Selecting potential locations for groundwater recharge by means of remote sensing and GIS and weighting based on Boolean logic and analytic hierarchy process [J].
Amir Hossien Hatefi Ardakani ;
Saeed Shojaei ;
Ali Reza Shahvaran ;
Zahra Kalantari ;
Artemi Cerdà ;
John Tiefenbacher .
Environmental Earth Sciences, 2022, 81
[28]   Groundwater potential mapping using integrations of remote sensing and analytical hierarchy process methods in Ataye-watershed, Middle Awash Basin, Ethiopia [J].
Anteneh, Zeleke Simachew ;
Awoke, Berhan Gessesse ;
Reda, Talema Moged ;
Jothimani, Muralitharan .
SUSTAINABLE WATER RESOURCES MANAGEMENT, 2022, 8 (06)
[29]   Evaluating the groundwater potential of Wadi Al-Jizi, Sultanate of Oman, by integrating remote sensing and GIS techniques [J].
Akhtar, Javed ;
Sana, Ahmed ;
Tauseef, Syed Mohammed ;
Chellaiah, Gajendran ;
Kaliyaperumal, Parmeswari ;
Sarkar, Humayun ;
Ayyamperumal, Ramamoorthy .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (48) :72332-72343
[30]   Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS for Kancheepuram District, Tamilnadu, India [J].
Thiyagarajan Saranya ;
Subbarayan Saravanan .
Modeling Earth Systems and Environment, 2020, 6 :1105-1122