{"title":"Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India","authors":"Prabu Babu, Saurabh Chandra Maury","doi":"10.1007/s13201-025-02402-8","DOIUrl":null,"url":null,"abstract":"<div><p>Population growth has significantly affected groundwater resources globally. Groundwater is essential for agriculture and human consumption. Considering these issues, we focused on the Dharmapuri District, Tamil Nadu, India. In the study area, 70 <span>\\(\\%\\)</span> of the population depend on agriculture, necessitating assessing groundwater potential zone. Thematic layers such as geology, geomorphology, drainage density, lineament density, slope, soil, land use and land cover, recharge, distance from river, elevation, topographic wetness index and normalized difference vegetation index have been created using ArcGIS. The study aims to assess groundwater potential zones (GWPZ) using enhanced trapezoidal fuzzy number in analytical hierarchy process (ETFAHP) and analytical hierarchy process (AHP) methods with help of ArcGIS. Thematic layer(parameters) weights are calculated using AHP and ETFAHP methods. Notably, previous studies have not used trapezoidal fuzzy numbers in GWPZ. A trapezoidal fuzzy number in AHP method is used to assess GWPZ. The groundwater potential zone is classified as very poor, poor, moderate, fair and very good. The AHP and ETFAHP on groundwater potential index (GWPI) are validated with depth to water level. In this study, AHP on GWPZ showed very poor (15.00%), poor (27.85%), moderate (26.54%), fair (19.80%) and very good (10.81%). Similarly, ETFAHP on GWPZ showed very poor (17.63%), poor (27.58%), moderate (22.77%), fair (21.48%) and very good (10.54%). The area under the curve (AUC) values for AHP and ETFAHP on groundwater potential zones are 0.88 and 0.91, respectively. The AUC value of 0.91 indicates best prediction accuracy in the study area.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 3","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-025-02402-8.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Water Science","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s13201-025-02402-8","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
Abstract
Population growth has significantly affected groundwater resources globally. Groundwater is essential for agriculture and human consumption. Considering these issues, we focused on the Dharmapuri District, Tamil Nadu, India. In the study area, 70 \(\%\) of the population depend on agriculture, necessitating assessing groundwater potential zone. Thematic layers such as geology, geomorphology, drainage density, lineament density, slope, soil, land use and land cover, recharge, distance from river, elevation, topographic wetness index and normalized difference vegetation index have been created using ArcGIS. The study aims to assess groundwater potential zones (GWPZ) using enhanced trapezoidal fuzzy number in analytical hierarchy process (ETFAHP) and analytical hierarchy process (AHP) methods with help of ArcGIS. Thematic layer(parameters) weights are calculated using AHP and ETFAHP methods. Notably, previous studies have not used trapezoidal fuzzy numbers in GWPZ. A trapezoidal fuzzy number in AHP method is used to assess GWPZ. The groundwater potential zone is classified as very poor, poor, moderate, fair and very good. The AHP and ETFAHP on groundwater potential index (GWPI) are validated with depth to water level. In this study, AHP on GWPZ showed very poor (15.00%), poor (27.85%), moderate (26.54%), fair (19.80%) and very good (10.81%). Similarly, ETFAHP on GWPZ showed very poor (17.63%), poor (27.58%), moderate (22.77%), fair (21.48%) and very good (10.54%). The area under the curve (AUC) values for AHP and ETFAHP on groundwater potential zones are 0.88 and 0.91, respectively. The AUC value of 0.91 indicates best prediction accuracy in the study area.
人口增长严重影响了全球地下水资源。地下水对农业和人类消费至关重要。考虑到这些问题,我们把重点放在了印度泰米尔纳德邦的dharapuri地区。研究区70% \(\%\)的人口以农业为生,需要对地下水潜力区进行评估。利用ArcGIS创建了地质、地貌、排水密度、地形密度、坡度、土壤、土地利用和土地覆盖、补给、离河距离、高程、地形湿度指数和归一化植被差指数等主题层。利用层次分析法(ETFAHP)和层次分析法(AHP)中的增强梯形模糊数,结合ArcGIS对地下水潜势区进行评价。采用AHP和ETFAHP方法计算主题层(参数)权重。值得注意的是,以前的研究没有在GWPZ中使用梯形模糊数。采用层次分析法中的梯形模糊数对GWPZ进行评价。地下水潜力区分为极差区、差区、中等区、一般区和极好区。AHP和ETFAHP对地下水潜力指数(GWPI)进行了从深度到水位的验证。在本研究中,AHP对GWPZ的评价非常差(15.00)%), poor (27.85%), moderate (26.54%), fair (19.80%) and very good (10.81%). Similarly, ETFAHP on GWPZ showed very poor (17.63%), poor (27.58%), moderate (22.77%), fair (21.48%) and very good (10.54%). The area under the curve (AUC) values for AHP and ETFAHP on groundwater potential zones are 0.88 and 0.91, respectively. The AUC value of 0.91 indicates best prediction accuracy in the study area.