Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India

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 agricul...

Full description

Saved in:
Bibliographic Details
Main Authors: Prabu Babu, Saurabh Chandra Maury
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:Applied Water Science
Subjects:
Online Access:https://doi.org/10.1007/s13201-025-02402-8
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849389858444804096
author Prabu Babu
Saurabh Chandra Maury
author_facet Prabu Babu
Saurabh Chandra Maury
author_sort Prabu Babu
collection DOAJ
description 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.
format Article
id doaj-art-3c3acfa62fa64bcebd652b70e98c10bd
institution Kabale University
issn 2190-5487
2190-5495
language English
publishDate 2025-02-01
publisher SpringerOpen
record_format Article
series Applied Water Science
spelling doaj-art-3c3acfa62fa64bcebd652b70e98c10bd2025-08-20T03:41:50ZengSpringerOpenApplied Water Science2190-54872190-54952025-02-0115312110.1007/s13201-025-02402-8Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, IndiaPrabu Babu0Saurabh Chandra Maury1Department of Mathematics, Vellore Institute of TechnologyDepartment of Mathematics, Vellore Institute of TechnologyAbstract 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.https://doi.org/10.1007/s13201-025-02402-8Groundwater rechargeRemote sensingTrapezoidal fuzzy numberAnalytical hierarchy processGeographic information systemReceiver operating characteristics curve
spellingShingle Prabu Babu
Saurabh Chandra Maury
Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India
Applied Water Science
Groundwater recharge
Remote sensing
Trapezoidal fuzzy number
Analytical hierarchy process
Geographic information system
Receiver operating characteristics curve
title Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India
title_full Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India
title_fullStr Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India
title_full_unstemmed Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India
title_short Comparative analysis of groundwater potential assessment in Dharmapuri District, Tamil Nadu, India
title_sort comparative analysis of groundwater potential assessment in dharmapuri district tamil nadu india
topic Groundwater recharge
Remote sensing
Trapezoidal fuzzy number
Analytical hierarchy process
Geographic information system
Receiver operating characteristics curve
url https://doi.org/10.1007/s13201-025-02402-8
work_keys_str_mv AT prabubabu comparativeanalysisofgroundwaterpotentialassessmentindharmapuridistricttamilnaduindia
AT saurabhchandramaury comparativeanalysisofgroundwaterpotentialassessmentindharmapuridistricttamilnaduindia