Details

Autor(en) / Beteiligte

• Shaw, Souvick Kumar
• Sharma, Anurag

Titel

Assessing groundwater potential zones in Sundargarh district: a comparative study using AHP and FR models

Ist Teil von

• Sustainable water resources management, 2024-06, Vol.10 (3), p.132, Article 132

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2024

Quelle

Springer Online Journals【Remote access available】

Beschreibungen/Notizen

• Groundwater mapping and its sustainable development are paramount to managing urban planning development in arid and semi-arid areas. In this present research, groundwater mapping (GPM) was compiled by utilizing eight thematic layers, e.g., rainfall, geomorphology, slope, drainage density, land use/land cover (LULC), lineament density, soil texture and normalized difference vegetation index (NDVI) by adopting Analytical Hierarchy Process (AHP) method and Frequency Ratio (FR) model for Sundargarh district, India. Weighted overlay approach was adopted in ArcGIS 10.4 to construct GPM in AHP technique, whereas the FR model is a statistical bivariate approach. The accuracy of LULC and NDVI maps was assessed through validation with taking 90 and 58 ground truth points respectively, sourced from Google Earth Pro. The overall accuracy and kappa coefficient for land classification based on LULC were obtained as 81.1% and 73.3%, respectively, and that for NDVI were found as 84.5% and 81.3% respectively. The final groundwater potential zone (GWPZ) map was categorized into four classes in both methods, e.g., poor, fair, good and excellent. Around 62.2% and 34.6% of the area came under good GWPZ in the AHP and FR methods, respectively. Water level data for 94 dug wells during pre-monsoon and post-monsoon seasons of 2021 were analysed and used to show the statistical distribution of wells in each GWPZ. The output obtained through AHP and FR model were validated by taking 70% of wells as a training dataset and 30% as a testing dataset in the Receiver Operating Characteristics (ROC) curve method. Success rate and Prediction rate curve illustrated that AHP (AUCsuc = 0.824 and AUCpred = 0.773) is more convenient and effective than the FR model (AUCsuc = 0.719 and AUCpred = 0.747). This study will help urban planners and developers to make proper decisions in sustainable groundwater management and its beneficial utilization for this study area.