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
[31]   Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS for Kancheepuram District, Tamilnadu, India [J].
Saranya, Thiyagarajan ;
Saravanan, Subbarayan .
MODELING EARTH SYSTEMS AND ENVIRONMENT, 2020, 6 (02) :1105-1122
[32]   Groundwater potential zoning by integrating multi-criteria decision and bivariate analysis methods - a case study on Cheyyar River Basin, Tamil Nadu, India [J].
Narayanamurthi, Vishnuvardan ;
Ramasamy, Annadurai .
GEOCARTO INTERNATIONAL, 2022, 37 (26) :14570-14595
[33]   Delineation of Groundwater Potential Zones in Arid Region of India—A Remote Sensing and GIS Approach [J].
Prabir Mukherjee ;
Chander Kumar Singh ;
Saumitra Mukherjee .
Water Resources Management, 2012, 26 :2643-2672
[34]   Analytical Hierarchy process and geospatial techniques for Delineation of Groundwater potential zones in Bundelkhand Craton Region, India [J].
Kumar, Mukesh ;
Singh, Pitam ;
Singh, Priyamvada .
APPLIED GEOMATICS, 2024, 16 (04) :973-986
[35]   Zoning of groundwater potential in Amaravathy river basin, south India, by integrating remote sensing and GIS [J].
Thirunavukkarasu, P. ;
Ambujam, N. K. .
INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2020, 49 (10) :1686-1692
[36]   Assessment of Groundwater Potential in the Kalahandi District of Odisha (India) Using Remote Sensing, Geographic Information System and Analytical Hierarchy Process [J].
Thabile, G. ;
Das, D. M. ;
Raul, S. K. ;
Subudhi, C. R. ;
Panigrahi, B. .
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2020, 48 (12) :1739-1753
[37]   Application of remote sensing and GIS analysis in groundwater potential estimation in west Liaoning Province, China [J].
Deng, Feifan ;
Deng, Zhengdong ;
Lv, Dan ;
Wang, Daqing ;
Duan, Huajie ;
Xing, Zheli .
JOURNAL OF ENGINEERING RESEARCH, 2016, 4 (03) :1-17
[38]   Assessing Groundwater Potential in the Kabul River Basin of Pakistan: A GIS and Analytical Hierarchy Process Approach for Sustainable Water Management [J].
Ul Hussan, Waqas ;
Irfan, Muhammad ;
Waseem, Muhammad ;
Yaseen, Muhammad ;
Karam, Wasim ;
Adnan, Muhammad ;
Adnan, Rana Muhammad ;
Mo, Wang .
WATER, 2025, 17 (11)
[39]   Assessment of Groundwater Potential in a Semi-Arid Region of India Using Remote Sensing, GIS and MCDM Techniques [J].
Machiwal, Deepesh ;
Jha, Madan K. ;
Mal, Bimal C. .
WATER RESOURCES MANAGEMENT, 2011, 25 (05) :1359-1386
[40]   Flood Susceptibility Mapping in Punjab, Pakistan: A Hybrid Approach Integrating Remote Sensing and Analytical Hierarchy Process [J].
Latif, Rana Muhammad Amir ;
He, Jinliao .
ATMOSPHERE, 2025, 16 (01)