Delineation of groundwater potential zone by integrating groundwater quality parameters using geospatial techniques and multi-criteria decision analysis - a case study on Chennai coastal watershed, Tamil Nadu, India

被引:10
作者
Ravi, Subramani [1 ]
Sudalaimuthu, Karuppasamy [1 ]
机构
[1] SRM Inst Sci & Technol, Civil Engn, Kattankulathur, Chengalpattu, India
关键词
GIS; groundwater quantity-quality potential zone (GQQPZ); analytical hierarchy process (AHP); well electrical conductivity (EC); chennai coastal watershed; ANALYTICAL HIERARCHY PROCESS; GIS; IDENTIFICATION; MAHARASHTRA; MANAGEMENT; ZONATION; REGION; BASIN; PART; AREA;
D O I
10.1080/10106049.2022.2115152
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study incorporates the Groundwater Quality Index (GQI) to alter the conventional groundwater potential zoning to quantity-quality potential zoning in the Chennai coastal region, which is experiencing groundwater decline and quality deterioration. Using Analytical Hierarchy Process (AHP), weights for twelve thematic layers were assigned and are superimposed with a weighted overlay technique. Pre- and post-monsoon groundwater quantity-quality potential zone (GQQPZ) are classified into poor, moderate, good, and very good zone using pre-and post-monsoon GQI, respectively. Furthermore, the study revealed that seasonal changes also influence the quantity-quality potential zone of the study area. According to the study, the poor zone areas changed from 3.58% to 0.94% due to reduced concentration of pollutants and increased quantity of groundwater during monsoon rain. The validation is carried out with pre and post-monsoon Electrical Conductivity (EC) for pre and post-GQQPZ and resulted in an accuracy of 88.5% and 89.3%, respectively.
引用
收藏
页码:16736 / 16768
页数:33
相关论文
共 87 条
[31]  
Halder B., 2022, Int. J. Energy. Water Resour, DOI [10.1007/s42108-022-00179-z, DOI 10.1007/S42108-022-00179-Z]
[32]   Groundwater potential mapping using multi-criteria decision, bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India [J].
Hasanuzzaman, Md ;
Mandal, Mehedi Hasan ;
Hasnine, Md ;
Shit, Pravat Kumar .
APPLIED WATER SCIENCE, 2022, 12 (04)
[33]  
Indu S., 2020, WATER-SUI, V13, P1
[34]  
Jayarajan SK., 2022, ESTIMATION NATURAL G, P1, DOI [10.1080/02626667.2022.2064223, DOI 10.1080/02626667.2022.2064223]
[35]   Optimizing the location of a biomass plant with a fuzzy-DEcision-MAking Trial and Evaluation Laboratory (F-DEMATEL) and multi-criteria spatial decision assessment for renewable energy management and long-term sustainability [J].
Jeong, Jin Su ;
Ramirez-Gomez, Alvaro .
JOURNAL OF CLEANER PRODUCTION, 2018, 182 :509-520
[36]   Water resilience mapping of Chennai, India using analytical hierarchy process [J].
Kaaviya, R. ;
Devadas, V. .
ECOLOGICAL PROCESSES, 2021, 10 (01)
[37]  
Kanagaraj G, 2019, EARTH SCI INFORM, V12, P211, DOI 10.1007/s12145-018-0363-5
[38]   Groundwater potential as an indicator of water poverty index in drought-prone mid-hill region of Nepal Himalaya [J].
Khadka, Goma ;
Pathak, Dinesh .
GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2021, 12
[39]   Use of GIS-AHP tools for potable groundwater potential zone investigations-a case study in Vairavanpatti rural area, Tamil Nadu, India [J].
Kulandaisamy, Prabakaran ;
Karthikeyan, Sivakumar ;
Chockalingam, Aruna .
ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (17)
[40]  
Kumar R., 2021, GEOGRAPHICAL INFORM