Evaluation of SWAT direct runoff and baseflow component using web-based K-means clustering EI estimation system

Won Seok Jang, Jongpil Moon, Nam Won Kim, Bernard A. Engel, Dong Sun Yoo, Ik Jae Kim, Yuri Mun, Yong Sik Ok, Kyoung Jae Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010
PublisherAmerican Society of Agricultural and Biological Engineers
Pages56-61
Number of pages6
ISBN (Print)9781617388354
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010
Volume1

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

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

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