• Title/Summary/Keyword: 수정토양손실공식

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Applicability Examination of the RUSLE Sediment Yield Prediction Equation in Korea (해외토사유출량 산정공식의 국내적용성 검토(II);MUSLE를 중심으로)

  • Son, Gwang-Ik
    • Journal of Korea Water Resources Association
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    • v.34 no.3
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    • pp.209-216
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    • 2001
  • Universal Soil Loss Equation(USLE) was developed for the estimation of the annual average soil loss from farm land. But, USLE has been applied in estimation of the sediment yield due to the construction activities in Korea without any calibration for last couple of years. Therefore, applicability and the limitation of the MUSLE(modified USLE), which was developed for the estimation of the sediment yield due to single rainfall event, is examined by application of MUSLE into several construction sites and comparing the estimated sediment yields with the actual ones. It is found that MUSLE could be applied in Korea as long as the concentration time, runoff volume and the peak flow rate are estimated with appropriate methods. Comparisons between the applicability of RUSLE and MUSLE are also carried out.

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Application of Sediment Yield Estimation Methods for an Urbanized Basin (도시유역에 대한 토사유출량 모의기법 적용성 검토)

  • Son, Kwang-Ik;Roh, Jin-Wook
    • Journal of Korea Water Resources Association
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    • v.42 no.9
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    • pp.737-745
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    • 2009
  • Field measured sediment yield from an experimental urbanized basin was compared with the predicted sediment yields with RUSLE (Revised Universal Soil Loss Equation), and MUSLE (Modified Universal Soil Loss Equation). The experimental basin is 3.1km2 in area and fifty six percent of the total area had been urbanized. The hydrological data have been measured with T/M at the outlet of the experimental basin. Runoff from the basin and rainfall depth of the basin were measured every minute. Bed load and suspended load were also measured for a given flow rate. Runoff rating curves and sediment rating curve were developed for the last three years. RUSLE showed scattered prediction results but the average of the prediction values was close to the measured one. Meanwhile, MUSLE showed linear correlation between the measured sediment yield and predicted one with high correlation coefficient. But MUSLE predicts high values than the real one. Therefore, adjustment is necessary to apply MUSLE in estimation of sediment yield from the experimental urbanized basin.

The Determination of Resolution for Quantification of Soil Loss in GIS Environment (GIS 기반에서 토양침식의 정량화를 위한 해상도 결정에 관한 연구)

  • 장영률;이근상;조기성
    • Spatial Information Research
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    • v.10 no.2
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    • pp.301-316
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    • 2002
  • Soil Loss by outflow of water or rainfall has caused many environmental problems as declining agricultural productivity, damaging pasture and preventing flow of water. Also, validity pondage of reservoir or dam is decreased by rivers inflow of eroded soil. Revised Universal Soil Loss Equation(RUSLE) is mainly used to presume soil loss amount of basin using GIS. But, because comparison with survey data is difficult, it is no large meaning that estimate calculated soil loss amount as quantitative. This research used unit sediment deposit survey data of Bo-seong basin for quantitative conclusion of soil loss amount that calculate on RUSLE. Through comparison examination with unit sediment yield that calculate on RUSLE and unit sediment deposit survey data, we can estimate resolution far RUSLE Model. As a result, cell size of 150m was estimated by thing which is most suitable.

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Soil erosion map supply system based on Internet (인터넷 기반 토양유실도 제공 시스템)

  • Kim, Joo-Hun;Kim, Kyeong-Tak;Park, Jung-Sool;Won, Young-Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.803-807
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    • 2010
  • 본 연구는 자연재해대책법에 의해 개발사업으로 인한 재해유발요인을 예측 분석하고 이에 대한 대책을 강구하기 위해 수행되고 있는 사전재해영향평가에서 표준화된 한국토양유실도 자료를 제공하여 자료의 객관화를 이루도록 함을 목적으로 하고 있다. 한국토양유실도 제공 시스템은 2단계에 걸쳐서 수행할 계획이다. 1단계에서는 한국토양유실량 분포도를 RUSLE를 이용하여 작성하였다. 이 RUSLE모에서 강우 에너지인자 산정을 위한 강우량 자료는 기상청의 59개 기상관측소의 1977년부터 2006년까지의 30년간의 자료를 이용하여 24시간 지속시간의 전국 R값을 빈도별로 산정하여 강우에너지인자에 대한 주제도를 작성하였다. 또한 사용한 GIS자료는 USGS DTED Level-2, 국립농업과학원의 정밀 토양도, 환경부의 중분류 토지피복도 자료이고 이들 자료를 이용하여 RUSLE의 각인자별 주제도를 작성하였고, 이를 웹사이트(http://krsc.kict.re.kr/RUSLE/rusle.asp)를 통해 신청인으로부터 메일로 범위(행정구역경계, 1/25,000수치지도 도엽번호, 수자원단위지도 등)를 요청 받거나 수자원단위지도의 중권역 및 표준권역의 경우 사용자가 직접 자료요청을 하여 토양유실도를 제공받는 시스템이다. 2단계에서는 작성된 한국토양유실량 분포도를 제공하는 것은 물론이며, 사용자가 원하는 범위에 대하여 shape 파일을 입력, 강우에너지인자(R) 입력, 그리고 토지피복별에 따른 RUSLE의 C 혹은 P값을 수정하여 분석하거나, 현재 토양통별로 제시된 K값을 사용자가 직접 관측한 값을 이용하여 Web-RUSLE시스템에 입력하면 자동으로 토양유실량을 산정할 수 있는 시스템으로 구축할 계획이다.

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Development of Runoff Simulation Model from Paddy Block - System formulation and Development - (관개블럭에서의 유출량 추정 모형 개발 - 시스템의 개발 및 구성 -)

  • Kim, Hak-Kwan;Park, Seung-Woo;Im, Sang-Jun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1954-1958
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    • 2006
  • 본 연구에서는 관개블럭에서의 유출량을 추정할 수 있는 모형을 개발하였다. 개발된 모형은 관개량 자료, 기후 자료, 강우량 자료, 토양특성 자료 등을 입력받아 관개블럭의 담수심, 증발산량, 심층 침루량, 측방침윤량, 지표배수량 등을 모의하여 유출량을 추정할 수 있도록 구성하였다. 논에서의 물수지방정식을 기본으로 담수심을 추정하고, FAO 수정 Penman식을 이용하여 증발산량을 산정하며, 근역(root zone)의 토양수분을 고려하여 실제증발산량을 산정할 수 있도록 하였다. 심층 침루량(deep percoloation)은 정상상태의 흐름방정식과 Richard식을 이용하여 산정하며, 지표배수량은 광정웨어공식과 Runge Kutta법을 이용하여 추정한다. 관개블럭에서의 최종유출량은 지표배수 관개량, 지표배수량, 침윤손실량의 합으로 계산하도록 모형을 구성하였다.

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Analysis of Korea Soil Loss and Hazard Zone (한국토양유실량 및 토양유실위험 지역 분석)

  • Kim, Joo-Hun;Kim, Kyung-Tak;Lee, Hyo-Jeong
    • Spatial Information Research
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    • v.17 no.3
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    • pp.261-268
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    • 2009
  • This study accomplished to draw a soil erosion map and a grade map of soil loss hazard in Korea. RUSLE and Rainfall-runoff (R) factor, which was estimated by using the rainfall data observed in 59 meteorological stations from 1977 to 2006 (for 30 years). FARD was used to analyze the frequency, and the whole country R factor was estimated according to the frequency. In the analysis of estimating the whole country R factor, Nakdong river has the smallest vaule, but Han river has the biggest value. According to the result of analyzing soil loss, soil loss occurred in a grass land, a bare land and a field in size order, and also approximately 17.2 ton/ha soil loss happened on the whole area. The average soil loss amount by the unit area takes place in a bare land and a grass land a lot. The total amount of soil loss in 5-year-frequency rainfall yields 15,000 ton and, what is more, a lot of soil loss happens in a paddy field, a forest and a crop field. The grade map of soil loss hazard is drawn up by classifying soil loss hazard grade by 5. As a result of analyzing soil loss, the moderate area which is the soil loss hazard grade 2 takes up the largest part, 72.8% of the total soil loss hazard area, on the contrary, the severe soil loss hazard area takes up only $1,038km^2$ (1.1%) of the whole area. The severe soil loss hazard area by land cover shows $93.5km^2$ in a bare land, $168.1km^2$ in a grass land and $327.4km^2$ in a crop field respectively.

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The Soil Loss Analysis using Landcover of WAMIS - for Musimcheon Watershed - (WAMIS 토지피복도를 활용한 토양유실량 분석 - 무심천 유역을 대상으로 -)

  • Kim, Joo-Hun;Lee, Chung-Dae;Kim, Kyung-Tak;Choi, Yun-Seok
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.4
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    • pp.122-131
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    • 2007
  • This study estimates how soil loss in a basin has been occurred according to the change of land cover, and analyzes which type of land cover has the largest soil loss by classifying the land-cover type into each area and a whole basin. Musimcheon, the second branch stream of GeumGang, is chosen as a research area. The result of analysis shows that the average soil loss occurs most largely in a crop land and a paddy field. The yearly soil loss of watershed estimates approximately 14,000 ton/yr in case of using 100-year-frequency rainfall data. A forest area, which takes the largest area in watershed, shows the soil loss occurs approximately 1,000ton/yr. A crop field shows that soil loss increased most largely 4,900 ton/yr (34.6%) in 1985 to 8,100 ton/yr (56.1%) in 2000. The change of land cover in a crop land increased 8% to 14%, and this change influences on the increase of soil loss. As a result of analyzing the area over $200ton/km^2/yr$, the soil loss in a crop field accounts for 74% to 96%.

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Analysis of Soil Erosion Hazard Zone by R Factor Frequency (빈도별 R인자에 의한 토양침식 위험지역 분석)

  • Kim, Joo-Hun;Oh, Deuk-Keun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.2
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    • pp.47-56
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    • 2004
  • The purpose of this study is to estimate soil loss amount according to the rainfall-runoff erosivity factor frequency and to analyze the hazard zone that has high possibilities of soil erosion in the watershed. RUSLE was used to analyze soil loss quantity. The study area is Gwanchon that is part of Seomjin river basin. To obtain the frequency rainfall-runoff erosivity factor, the daily maximum rainfall data for 39 years was used. The probability rainfall was calculated by using the Normal distribution, Log-normal distribution, Pearson type III distribution, Log-Pearson type III distribution and Extreme-I distribution. Log-Pearson type III was considered to be the most accurate of all, and used to estimate 24 hours probabilistic rainfall, and the rainfall-runoff erosivity factor by frequency was estimated by adapting the Huff distribution ratio. As a result of estimating soil erosion quantity, the average soil quantity shows 12.8 and $68.0ton/ha{\cdot}yr$, respectively from 2 years to 200 years frequency. The distribution of soil loss quantity within a watershed was classified into 4 classes, and the hazard zone that has high possibilities of soil erosion was analyzed on the basis of these 4 classes. The hazard zone represents class IV. The land use area of class IV shows $0.01-5.28km^2$, it ranges 0.02-9.06% of total farming area. Especially, in the case of a frequency of 200 years, the field area occupies 77.1% of total fanning area. Accordingly, it is considered that soil loss can be influenced by land cover and cultivation practices.

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