SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Evaluation of watershed scale aquatic ecosystem health by SWAT modeling and random forest technique 
Authors:Woo, S. Y., C.G. Jung, J.W. Lee and S.J. Kim 
Volume (Issue):11(12) 
Article ID:3397 
URL (non-DOI journals): 
Broad Application Category:hydrologic and pollutant 
Primary Application Category:model and/or data interface 
Secondary Application Category:pollutant cycling/loss and transport 
Watershed Description:34,418 km^2 Han River, located in South Korea. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:In this study, we evaluated the aquatic ecosystem health (AEH) with five grades (A; very good to E; very poor) of FAI (Fish Assessment Index), TDI (Trophic Diatom Index), and BMI (Benthic Macroinvertebrate Index) using the results of SWAT (Soil and Water Assessment Tool) stream water temperature (WT) and quality (T-N, T-P, NH4, NO3, and PO4). By applying Random Forest, one of the machine learning algorithms for classification analysis, each AEH index was trained and graded from the SWAT results. For Han river watershed (34,418 km2) in South Korea, the 8 years (2008~2015) observed AEH data of Spring and Fall periods at 86 locations from NAEMP (National Aquatic Ecological Monitoring Program) were used. The AEH was separately trained for Spring (FAIs, TDIs, and BMIs) and Fall (FAIa, TDIa, and BMIa), and the AEH results of Random Forest with SWAT (WT, T-N, T-P, NH4, NO3, and PO4) as input variables showed the accuracy of 0.42, 0.48, 0.62, 0.45, 0.4, and 0.58, respectively. The reason for low accuracy was from the weak strength of the individual trees and high correlation between the trees composing the Random Forest due to the data imbalance. The AEH distribution results showed that the number of Grade A of total FAI, TDI, and BMI were 84, 0, and 158 respectively and they were mostly located at the upstream watersheds. The number of Grade E of total FAI, TDI, and BMI were 4, 50, and 13 and they were shown at downstream watersheds 
Keywords:Aquatic Ecosystem Health; Fish Assessment Index; Trophic Diatom Index; Benthic Macroinvertebrate Index; SWAT; Random Forest