Journal of the Korean Society of Hazard Mitigation (한국방재학회 논문집)

Korean Society of Hazard Mitigation (한국방재학회)
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Suggestion of Cover-Management Factor Equation for Mountain Area in RUSLE

RUSLE 모형의 산지유역 적용을 위한 지표관리 인자 산정식 제안

  • 이종설 (국립방재연구원 복합재난연구실 미래재난팀) ;
  • 원진영 (국립방재연구원 복합재난연구실)
  • Received : 2012.03.02
  • Accepted : 2012.03.30
  • Published : 2012.04.30
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Abstract

RUSLE has been widely used for prediction of soil erosion in Korea. As the factors of RUSLE were suggested using observed data in agricultural land of middle-western of United State, verification is essential to apply to domestic mountain area. Cover management factor(C) is one of the most variable factors in time and space. The studies on correlation between NDVI and C factor are in progress abroad. In this study, the relationship equation between percent vegetation cover and C factor was formulated for domestic application, and was calibrated using measured data from experimental watershed. In this research, the relationship equation between percent vegetation cover and NDVI is derived using NDVI extracted from SPOT-5 image and field vegetation data. The equation proposed in this research was more suitable than Drake equation(1997). Also, for suggestion of appropriate relationship between NDVI and C factor, Knijff equation(1999) was selected, and the coefficients of this equation were suggested through the correlation analysis with measured soil erosion data.

현재 국내에서는 토양침식 예측을 위하여 주로 RUSLE 모형을 사용하고 있으나, RUSLE 매개변수들은 미국 농경지역의 관측자료를 이용하여 제안된 것으로서, 국내 산지유역에 적용하기 위해서는 검정이 필요하다. 특히 지표관리 인자는 공간적, 시간적 변동성이 매우 큰 인자로서, 국외에서는 식생피복을 나타내는 지표인 NDVI와 지표관리 인자간의 상관관계에 대한 연구가 활발히 이루어지고 있으나, 국내에서는 이에 대한 연구가 미진하다. 따라서 본 연구에서는 식생피복율, 토양침식량 등의 관측자료를 활용하여 NDVI와 지표관리 인자의 관계식을 제안하고자 하였으며, 이를 실제 유역에 적용하여 적용성을 검증하였다. 본 연구에서 식생피복율과 NDVI의 관계식은 SPOT-5 영상으로부터 추출된 NDVI와 현지 식생조사 결과를 이용하여 유도하였으며, 이를 Drake 제안식(1997)과 비교한 결과, 본 연구에서 제안한 식이 Drake 식(1997)보다 더 우수한 결과를 나타내었다. 또한 NDVI와 지표관리 인자의 적정 상관관계식으로 Knijff(1999)가 제안한 관계식을 채택하였으며, 실측 토양침식량을 활용하여 적정 관계상수값을 제시하였다.

Keywords

References

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  1. SEMMA Revision to Evaluate Soil Erosion on Mountainous Watershed of Large Scale vol.46, pp.9, 2013, https://doi.org/10.3741/JKWRA.2013.46.9.885
  2. Spatiotemporal Uncertainty of Rainfall Erosivity Factor Estimated Using Different Methodologies vol.58, pp.6, 2016, https://doi.org/10.5389/KSAE.2016.58.6.055