Integrated environmental modeling for efficient aquifer vulnerability assessment using machine learning. (February 2020)

• Record Type: Journal Article
• Authors: Jang, Won Seok; Engel, Bernie; Yeum, Chul Min
• Is Part Of: Environmental modelling & software. Volume 124(2020)
• Publication Date: 2020-02
• Subjects: Geo-ANN -- Groundwater protection -- Integrated aquifer vulnerability assessment -- Nitrate contamination -- SWAT; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2019.104602
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Nitrate contamination in groundwater was evaluated using the concept of integrated aquifer assessment by combining groundwater characterization and risk analysis with tiered approaches for land and surface runoff contamination by soil chemicals and leaching of contamination to groundwater in the Upper White River Watershed (UWRW) in Indiana. Integrated aquifer vulnerability assessment was conducted using an integration of a distributed watershed model (Soil and Water Assessment Tool [SWAT]) and a machine learning technique (Geospatial-Artificial Neural Network [Geo-ANN]). The results indicate that integrated aquifer vulnerability assessment performed well based on the model performance (NSE/R 2 /PBIAS = 0.66/0.70/0.07). Thus, the overall assessment of aquifer vulnerability can be performed using the integrated aquifer vulnerability assessment technique provided in this study. Moreover, this approach provides an efficient guide for managing groundwater resources for policy makers and groundwater-related researchers. Highlights: Integrated environmental modeling (IEM) was developed for efficient aquifer vulnerability assessment. Geo-ANN provides good model performance (NSE/R 2 /PBIAS = 0.66/0.70/0.07) for aquifer vulnerability assessment. IEM provides an efficient guide for managing groundwater resources for policy makers andgroundwater-related researchers.