Mapping and validation of groundwater potential zone from alluvial plain: a case study of Muzaffarpur, Bihar, India DOI Creative Commons

Saket Raj,

Kishan Singh Rawat, Sanjeev Kumar

и другие.

Geology Ecology and Landscapes, Год журнала: 2024, Номер unknown, С. 1 - 16

Опубликована: Ноя. 18, 2024

The present research integrates remote sensing (RS), Geographic Information Systems (GIS), and Multi-Criteria Decision Making (MCDM) techniques to identify groundwater potential zones (GWPZs) in Muzaffarpur. Various data sets study areas were considered contribute availability. was evaluated, later, the GWPZ map validated. It further categorized into various from 2005 2020. High areas, located gently sloping terrains conducive high infiltration percolation, maintained coverage of about 50% watershed. Poor zones, which represent a small fraction area with limited capacity, showed consistently low proportion over years. highlights impact geological geomorphological factors, particularly Charnockite Gneiss Complex sedimentary rocks Ganges Basin, on potential. Soil types, ranging fine coarse loamy, play significant role recharge. Rainfall slope are crucial factors that influence Higher rainfall flatter slopes enhance recharge, emphasizing importance variables assessment. ROC analysis revealed mixed validation results, showing potential, while others remained poor. underscores need for effective water conservation practices improve

Язык: Английский

Groundwater Potential Mapping using Machine Learning Approach in West Java, Indonesia DOI
Jalu Tejo Nugroho, Anugrah Indah Lestari, Budhi Gustiandi

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер unknown, С. 101382 - 101382

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

1
Mapping and validation of groundwater potential zone from alluvial plain: a case study of Muzaffarpur, Bihar, India DOI Creative Commons

Saket Raj,

Kishan Singh Rawat, Sanjeev Kumar

и другие.

Geology Ecology and Landscapes, Год журнала: 2024, Номер unknown, С. 1 - 16

Опубликована: Ноя. 18, 2024

The present research integrates remote sensing (RS), Geographic Information Systems (GIS), and Multi-Criteria Decision Making (MCDM) techniques to identify groundwater potential zones (GWPZs) in Muzaffarpur. Various data sets study areas were considered contribute availability. was evaluated, later, the GWPZ map validated. It further categorized into various from 2005 2020. High areas, located gently sloping terrains conducive high infiltration percolation, maintained coverage of about 50% watershed. Poor zones, which represent a small fraction area with limited capacity, showed consistently low proportion over years. highlights impact geological geomorphological factors, particularly Charnockite Gneiss Complex sedimentary rocks Ganges Basin, on potential. Soil types, ranging fine coarse loamy, play significant role recharge. Rainfall slope are crucial factors that influence Higher rainfall flatter slopes enhance recharge, emphasizing importance variables assessment. ROC analysis revealed mixed validation results, showing potential, while others remained poor. underscores need for effective water conservation practices improve

Язык: Английский

Процитировано

0