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http://dx.doi.org/10.15681/KSWE.2011.27.1.8

SWAT Direct Runoff and Baseflow Evaluation using Web-based Flow Clustering EI Estimation System  

Jang, Won Seok (Department of Regional Infrastructures Engineering, Kangwon National University)
Moon, Jong Pil (National Academy of Agricultural Science, Rural Development Administration)
Kim, Nam Won (Korea Institute of Construction Technology)
Yoo, Dong Sun (Department of Regional Infrastructures Engineering, Kangwon National University)
Kum, Dong Hyuk (Department of Regional Infrastructures Engineering, Kangwon National University)
Kim, Ik Jae (Korea Environment Institute)
Mun, Yuri (Korea Environment Institute)
Lim, Kyoung Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
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Abstract
In order to assess hydrologic and nonpoint source pollutant behaviors in a watershed with Soil and Water Assessment Tool (SWAT) model, the accuracy evaluation of SWAT model should be conducted prior to the application of it to a watershed. When calibrating and validating hydrological components of SWAT model, the Nash-Sutcliffe efficiency coefficient (EI) has been widely used. However, the EI value has been known as it is affected sensitively by big numbers among the range of numbers. In this study, a Web-based flow clustering EI estimation system using K-means clustering algorithm was developed and used for SWAT hydrology evaluation. Even though the EI of total streamflow was high, the EI values of hydrologic components (i.e., direct runoff and baseflow) were not high. Also when the EI values of flow group I and II (i.e., low and high value group) clustered from direct runoff and baseflow were computed, respectively, the EI values of them were much lower with negative EI values for some flow group comparison. The SWAT auto-calibration tool estimated values also showed negative EI values for most flow group I and II of direct runoff and baseflow although EI value of total streamflow was high. The result obtained in this study indicates that the SWAT hydrology component should be calibrated until all four positive EI values for each flow group of direct runoff and baseflow are obtained for better accuracy both in direct runoff and baseflow.
Keywords
K-means clustering EI estimation system; Nash-Sutcliffe efficiency coefficient; Soil and Water Assessment Tool; SWAT auto-calibration tool; Web-based flow clustering EI estimation system;
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