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2018 Vol.51, Issue 9 Preview Page

Research Article

Derivation of regional annual mean rainfall erosivity for predicting topsoil erosion in Korea

표토침식량 산정을 위한 지역별 연평균 강우침식인자 유도

Joon-Hak Leea*
이 준학a*
aDepartment of Civil and Environmental Engineering, Korea Military Academy
a육군사관학교 토목환경학과
* Corresponding Author
30 September 2018. pp. 783-793
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Abstract

The purpose of this study to present updated regional annual mean rainfall erosivity data in the Republic of Korea. In 2012, Ministry of Environment in Korea published the notice about investigation and survey procedure for the amount of topsoil erosion and adopted USLE (Universal Soil Loss Equation) model to predict the amount of national-scale soil erosion in Korea. In the notice, regional rainfall erosivity values for 158 sites, which is essential to apply the USLE, were included, however, these values came from the data made before 1997 and need to be updated. This study collected, classified and combined annual mean rainfall erosivity data from the literature review to analyze the data. We presented that new iso-erodent map, interpolated by IDW (Inverse Distance Weighted) method and extracted updated regional annual mean rainfall erosivity data at 167 regions for 1961~2015. These values will be used as updated rainfall erosivity data to predict the amount of topsoil erosion in Korea.

Keywords
Iso-erodent map
Rainfall erosivity
Soil erosion
Topsoil
USLE

본 연구의 목적은 한국의 지역별 연평균 강우침식인자 값을 갱신하기 위한 것이다. 2012년 환경부는 표토의 침식 현황조사에 관한 고시를 공포하면서 전국 규모의 토양침식량을 추정하기 위한 모델로서 범용토양유실공식 모델을 채택한 바 있다. 이 고시에는 범용토양유실공식을 적용하기 위해 필요한, 158개 지점에 대한 지역별 강우침식인자가 포함되어 있으나, 이 값은 1997년 이전에 만들어진 데이터를 바탕으로 하고 있기에 개선될 필요가 있다. 본 연구는 우리나라 전국 단위의 연평균 강우침식인자 데이터를 수집하고 분류, 통합하여 분석에 사용하였다. 연구결과 1961~2015년 기간의 54개 지점에 대한 연평균 강우침식인자를 재산정하였으며 새로운 등강우침식도를 제시하였다. 또한 실무에서 활용이 용이하도록 국내 167개 시 ․ 군별 연평균 강우침식인자 데이터를 제시하였다. 본 연구에서 제시한 값은 표토침식량을 예측하기 위한 업데이트된 강우침식인자로 활용될 수 있을 것이다.

키워드
등강우침식도
강우침식인자
토양침식
표토
범용토양유실공식
References
1
Hu, Q., Gantzer, C. J., Jung, P., and Lee, B. (2000). “Rainfall Erosivity in the Republic of Korea.” Journal of Soil and Water Conservation, Second Quarter Vol. 55, No. 2, pp. 115-120.
2
Jung, C., Jang, W., and Kim, S. (2016). “Spatial rainfall considering elevation and estimation of rain erosivity factor R in revised USLE using 1 minute rainfall data and program development.” Journal of the Korean Association of Geographic Information Studies, Vol. 19, No. 4, pp. 130-145.
10.11108/kagis.2016.19.4.130
3
Jung, K., Kim, W., Hur, S., Ha, S., Jung, P., and Jung, Y. (2004). “USLE/RUSLE factors for national scale soil loss estimation based on the digital detailed soil map.” Korean Journal of Soil Science and Fertilizer, Vol. 37, No. 4, pp. 199-206.
4
Jung, P., Ko, M., Im, J., Um, K., and Choi, D. (1983). “Rainfall erosion factor for estimating soil loss.” Korean Journal of Soil Science and Fertilizer, Vol. 16, No. 2, pp. 112-118.
5
Jung, Y., Kwon, Y., Im, H., Ha, S., and Yang, J. (1999). “R and K factors for an application of RUSLE on the slope soils in Kwangwon-do, Korea.” Korean Journal of Soil Science and Fertilizer, Vol. 32, No. 1, pp. 31-38.
6
Kang, M., Park, S., Im, S., and Kim, H. (2003). “Computing the half-month rainfall-runoff erosivity factor for RUSLE.” Journal of the Korean Society of Agricultural Engineers, Vol. 45, No. 3, pp. 29-40.
7
Lee, J. (2012). Estimation of annual rainfall erosivity and development of iso-erodent map for the Korea peninsula. Doctor in Philosophy Thesis, Yonsei University, pp. 58-60.
8
Lee, J., and Heo, J. (2011). “Evaluation of estimation methods for rainfall erosivity based on annual precipitation in Korea.” Journal of Hydrology, Vol. 409, No. 1-2, pp. 30-48.
10.1016/j.jhydrol.2011.07.031
9
Lee, J., and Heo, J. (2014). “Classification of storm events for estimating rainfall erosivity.” Proceedings Korean Society of Civil Engineers 2014 Convention Conference, 2014.10, pp. 1019-1020.
10
Lee, J., and Won, J. (2013). “Analysis of the characteristic of monthly rainfall erosivity in Korea with derivation of rainfall energy equation.” Journal of Korean Society of Hazard Mitigation, Vol. 13, No. 3, pp. 177-184.
10.9798/KOSHAM.2013.13.3.177
11
Lee, J., Oh, K., and Heo, J. (2011). “Estimation of rainfall-runoff erosivity using modified institute of agricultural sciences index.” Journal of Korea Water Resources Association, Vol. 44, No. 8, pp. 619-628.
10.3741/JKWRA.2011.44.8.619
12
Lee, J., Shin, J., and Heo, J. (2011). “Evaluation of rainfall erosivity in Korea using different kinetic energy equations.” Korean Journal of Soil Science and Fertilizer, Vol. 44, No. 3, pp. 337-343.
10.7745/KJSSF.2011.44.3.337
13
Ministry of Environment (2015). Notification concerning investigation on condition of topsoil erosion.
14
Ministry of Land, Infrastructures and Transport (1992). Investigation and research on specific sediment yield in watershed for dam design.
15
Ministry of the Interior and Safety (2016). Guideline of practical technologies for damage assessments and countermeasure for geohazards.
16
National Disaster Management Research Institute (1998). Study on the sediment yield estimation due to land development.
17
National Disaster Management Research Institute (2009). Improvement of estimation method on parameters of soil erosion model.
18
Park, C., Son, Y., Hyun, B., Song, K., Chun, H., Moon, Y., and Yun, S. (2011). “The redetermination of USLE rainfall erosion factor for estimation of soil loss at Korea.” Korean Journal of Soil Science and Fertilizer, Vol. 44, No. 6, pp. 977-982.
10.7745/KJSSF.2011.44.6.977
19
Park, J., Woo, H., Pyun, C., and Kim, K. (2000). “A study of distribution of rainfall erosivity in USLE/RUSLE for estimation of soil loss.” Journal of Korea Water Resources Association, Vol. 33, No. 5, pp. 603-610.
20
Renard, K.G., Foster, G. R., Weesies, G. A., McCool, D. K., and Yode, D. C. (1997). “Predicting soil erosion by water: A guide to conservation planning with the revised universal soil loss equation, RUSLE.” USDA Agriculture Handbook, No. 703.
21
Risal, A., Bhattarai, R., Kim, D., Park, Y., Yang, J., and Lim, K. (2016). “Application of Web ERosivity Module (WERM) for estimation of annual and monthly R factor in Korea.” Catena, Vol. 147, pp. 225-237.
10.1016/j.catena.2016.07.017
22
Shin, J., Koh, M., and Im, J. (1983). “An approximation of the rainfall factor (R) in predicting soil loss.” Korean Journal of Soil Science and Fertilizer, Vol. 16, No. 2, pp. 106-111.
23
Shin, Y. (2010). Estimation of rainfall erodibility factor R in the Universal Soil Loss Equation (USLE) using 1 minute rainfall data. Master degree thesis, Jeonbuk University, pp. 28-31.
24
Wischmeier, W. H., and Smith, D. D. (1978). “Predicting rainfall erosion losses - A guide to conservation planning.” USDA Agriculture Handbook, No. 537, Washington, D.C.
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 51
  • No :9
  • Pages :783-793
  • Received Date : 2018-07-04
  • Revised Date : 2018-07-28
  • Accepted Date : 2018-07-28
  • DOI :https://doi.org/10.3741/JKWRA.2018.51.9.783
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