Aquifer Vulnerability Assessment for Sustainable Groundwater Management Using DRASTIC

• Published in: Water (Basel) Vol. 9; no. 10; p. 792
• Main Authors: Jang, Won, Engel, Bernard, Harbor, Jon, Theller, Larry
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2017
• Subjects: aquifer vulnerability assessment; Aquifers; binary classifier calibration method; Case studies; Computer applications; Computer simulation; Computer-generated environments; Contamination; DRASTIC; Electric properties; Environmental monitoring; Gene mapping; genetic algorithm; Genetic algorithms; Geographic information systems; Groundwater; Groundwater management; Groundwater pollution; Groundwater quality; Groundwater recharge; Hydrogeology; Identification methods; Indiana; Management; Natural resources; Nitrates; Permeability coefficient; Pollution; Pollution monitoring; Quality assessment; Quality control; Soil contamination; Soil water; Vadose water; Water; Water depth; Water monitoring; Water pollution; Water quality; Water, Underground; Indiana

Groundwater management and protection has been facilitated by computational modeling of aquifer vulnerability and monitoring aquifers using groundwater sampling. The DRASTIC (Depth to water, Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone media, and hydraulic Conductivity) mod...