Identification of groundwater recharge sites in Latur district of Maharashtra in India based on remote sensing, GIS and multi-criteria decision tools

被引:5
|
作者
Navane, Vishal Sagar [1 ]
Sahoo, Sanat Nalini [1 ]
机构
[1] NIT Rourkela, Dept Civil Engn, Rourkela, Odisha, India
关键词
remote sensing; GIS; groundwater potential; groundwater recharge; multi‐ criteria decision tools; POTENTIAL ZONES; ARTIFICIAL RECHARGE; DELINEATION; PROSPECT; METHODOLOGY; PRADESH; AREA;
D O I
10.1111/wej.12650
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, groundwater potential zones and artificial recharge zones were delineated and favourable sites for placing recharge structures were identified. Different thematic layers were generated using ArcGIS and were scrutinized by a multivariate technique called principal component analysis (PCA). Selected thematic layers and their features were assigned suitable weights on Saaty's 9-point scale and their normalized weights were obtained by Saaty's analytical hierarchy process (AHP). Selected thematic layers were integrated by weighted linear combination method to calculate groundwater potential index (GWPI) and groundwater recharge index (GWRI). Based on calculated GWPI, the study area was delineated into five groundwater potential zones, namely "poor", "moderate", "good", "very good" and "excellent", which cover 1.61%, 71.99%, 22.77%, 3.54% and 0.09% of the study area, respectively. Also observed that, the study area has an area of 5957.89 km(2) of moderate recharge zone. Further 34 artificial groundwater recharge sites are identified for effective groundwater management.
引用
收藏
页码:544 / 559
页数:16
相关论文
共 50 条
  • [1] Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique
    Agarwal, Rajat
    Garg, P. K.
    WATER RESOURCES MANAGEMENT, 2016, 30 (01) : 243 - 260
  • [2] Identification of suitable sites for groundwater recharge in Awaspi watershed using GIS and remote sensing techniques
    Salar, Sarkawt Ghazi
    Othman, Arsalan A.
    Hasan, Syed E.
    ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (19)
  • [3] Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique
    Rajat Agarwal
    P. K. Garg
    Water Resources Management, 2016, 30 : 243 - 260
  • [4] Characterization of groundwater potential and artificial recharge sites in Bokaro District, Jharkhand (India), using remote sensing and GIS-based techniques
    Ipsita Satapathy
    Tajdarul H. Syed
    Environmental Earth Sciences, 2015, 74 : 4215 - 4232
  • [5] Characterization of groundwater potential and artificial recharge sites in Bokaro District, Jharkhand (India), using remote sensing and GIS-based techniques
    Satapathy, Ipsita
    Syed, Tajdarul H.
    ENVIRONMENTAL EARTH SCIENCES, 2015, 74 (05) : 4215 - 4232
  • [6] Identification of suitable sites for groundwater recharge in Awaspi watershed using GIS and remote sensing techniques
    Sarkawt Ghazi Salar
    Arsalan A. Othman
    Syed E. Hasan
    Environmental Earth Sciences, 2018, 77
  • [7] Multi-criteria decision analysis for planning and management of groundwater resources in Balod District, India
    Kumar, Tarun
    Gautam, Amar Kant
    Jhariya, D. C.
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (08)
  • [8] Delineation of flood risk zones in Jodhpur District, Rajasthan, India using remote sensing, GIS and multi-criteria decision making techniques
    Upadhyay, Prabhav
    Patel, Jayantilal N.
    INTERNATIONAL JOURNAL OF HYDROLOGY SCIENCE AND TECHNOLOGY, 2022, 14 (04) : 406 - 420
  • [9] Groundwater potential zones mapping by applying GIS, remote sensing and multi-criteria decision analysis in the Ghiss basin, northern Morocco
    Bourjila, Abdelhak
    Dimane, Fouad
    El Ouarghi, Hossain
    Nouayti, Nordine
    Taher, Morad
    El Hammoudani, Yahya
    Saadi, Omar
    Bensiali, Anas
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2021, 15 (15)
  • [10] Delineation of Groundwater Recharge Potential Zones in Namakkal District, Tamilnadu, India Using Remote Sensing and GIS
    S. Samson
    K. Elangovan
    Journal of the Indian Society of Remote Sensing, 2015, 43 : 769 - 778