
Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India
Author(s) -
Ashwani Kumar Tiwari,
Muriel Lavy,
Gianpiero Amanzio,
Marina De Maio,
Prasoon Kumar Singh,
Mukesh Kumar Mahato
Publication year - 2017
Publication title -
applied water science
Language(s) - English
Resource type - Journals
eISSN - 2190-5487
pISSN - 2190-5495
DOI - 10.1007/s13201-017-0603-8
Subject(s) - hydrogeology , groundwater , thematic map , groundwater recharge , coal mining , aquifer , hydrology (agriculture) , lithology , mining engineering , geology , geographic information system , fuzzy logic , environmental science , water resource management , coal , remote sensing , geotechnical engineering , geography , cartography , computer science , artificial intelligence , paleontology , archaeology