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Application of GeoWEPP to determine the annual average sediment yield of erosion control dams in Korea

  • Rhee, Hakjun (Institute of Agricultural Science, College of Agriculture & Life Sciences, Chungnam National University) ;
  • Seo, Junpyo (Division of Forest Disaster Management, National Institute of Forest Science)
  • Received : 2020.09.07
  • Accepted : 2020.10.06
  • Published : 2020.12.01

Abstract

Managing erosion control dams requires the annual average sediment yield to determine their storage capacity and time to full sediment-fill and dredging. The GeoWEPP (Geo-spatial interface for Water Erosion Prediction Project) model can predict the annual average sediment yield from various land uses and vegetation covers at a watershed scale. This study assessed the GeoWEPP to determine the annual average sediment yield for managing erosion control dams by applying it to five erosion control dams and comparing the results with field observations using ground-based LiDAR (light detection and ranging). The modeling results showed some differences with the observed sediment yields. Therefore, GeoWEPP is not recommended to determine the annual average sediment yield for erosion control dams. Moreover, when using the GeoWEPP, the following is recommended :1) use the US WEPP climate files with similar latitude, elevation and precipitation modified with monthly average climate data in Korea and 2) use soil files based on forest soil maps in Korea. These methods resulted in GeoWEPP predictions and field observations of 0 and 63.3 Mg·yr-1 for the Gangneung, 142.3 and 331.2 Mg·yr-1 for the Bonghwa landslide, 102.0 and 107.8 Mg·yr-1 for the Bonghwa control, 294.7 and 115.0 Mg·yr-1 for the Chilgok forest fire, and 0 and 15.0 Mg·yr-1 for the Chilgok control watersheds. Application of the GeoWEPP in Korea requires 1) building a climate database fit for the WEPP using the meteorological data from Korea and 2) performing further studies on soil and streamside erosion to determine accurate parameter values for Korea.

Keywords

Acknowledgement

본 연구는 산림청(한국임업진흥원)의 신기후체제 대응 연구사업(No. 2018113D10-2020-BB01)으로 수행되었습니다. 또한 본 연구를 도와주신 국립산림과학원 이창우께 감사드립니다.

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