TY - GEN
T1 - Evaluation of SWAT direct runoff and baseflow component using web-based K-means clustering EI estimation system
AU - Jang, Won Seok
AU - Moon, Jongpil
AU - Kim, Nam Won
AU - Engel, Bernard A.
AU - Yoo, Dong Sun
AU - Kim, Ik Jae
AU - Mun, Yuri
AU - Ok, Yong Sik
AU - Lim, Kyoung Jae
PY - 2010
Y1 - 2010
N2 - In order to assess hydrologic and nonpoint source pollutant behaviors in the watershed with the Soil and Water Assessment Tool (SWAT) model, accuracy evaluation of the SWAT model should be conducted prior to the application of it to the watershed. When calibrating and validating hydrological components of the 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 number among a range of numbers. In this study, the Web-based flow clustering EI estimation system using K-means clustering algorithm was developed and used for the 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, 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.
AB - In order to assess hydrologic and nonpoint source pollutant behaviors in the watershed with the Soil and Water Assessment Tool (SWAT) model, accuracy evaluation of the SWAT model should be conducted prior to the application of it to the watershed. When calibrating and validating hydrological components of the 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 number among a range of numbers. In this study, the Web-based flow clustering EI estimation system using K-means clustering algorithm was developed and used for the 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, 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.
KW - K-means clustering EI estimation system
KW - Nash-Sutcliffe efficiency coefficient
KW - Soil and water assessment tool
KW - Swat auto-calibration tool
KW - Web-based flow clustering EI estimation system
UR - http://www.scopus.com/inward/record.url?scp=78649718468&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649718468&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:78649718468
SN - 9781617388354
T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010
SP - 56
EP - 61
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010
PB - American Society of Agricultural and Biological Engineers
ER -