• Title/Summary/Keyword: 토양유실분포도

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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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Use of Cs-137 Redistribution in Estimating Deposition at The Sansu Reservoir (Cs-137 분포를 이용한 저수지의 퇴적 양상 추정)

  • Kim, Kye-Hoon
    • Applied Biological Chemistry
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    • v.38 no.2
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    • pp.157-162
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    • 1995
  • A reservoir located at Chollanam-do province was selected to estimate annual deposition rate, volume of annually deposited material, and annual soil loss from the watershed using Cs-137 redistribution. Sediment profiles of the reservoir indicated an average annual deposition rate of 1.56 cm $yr^{-1}$ and the total deposited volume of $166530\;m^3$ since 1963/64. Annual soil loss from the watershed was 25 ton $ha^{-1}$. Particle size analysis showed that most of the particles were silt-sized ones.

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Assessment of Soil Loss Estimated by Soil Catena Originated from Granite and Gneiss in Catchment (소유역단위 화강암/편마암 기원 토양 연접군(catena)에 따른 토양 유실 평가)

  • Hur, Seung-Oh;Sonn, Yeon-Kyu;Jung, Kang-Ho;Park, Chan-Won;Lee, Hyun-Hang;Ha, Sang-Keun;Kim, Jeong-Gyu
    • Korean Journal of Soil Science and Fertilizer
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    • v.40 no.5
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    • pp.383-391
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    • 2007
  • This study was conducted for an assessment through the estimation of soil loss by each catchment classified by soil catena. Ten catchments, which are Geumgang21, Namgang03, Dongjincheon, Gapyongcheon01, Gyongancheon02, Geumgang16, Byongsungcheon01, Daesincheon, Bukcheon02, Youngsangang08, were selected from the hydrologic unit map and the detailed soil digital map (1:25,000) for this study. The catchments like Geumgang21, Namgang03, Dongjincheon, Gapyongcheon01 and Gyongancheon02 were mainly composed with soils originated from gneiss. The catchments like Geumgang16, Byongsungcheon01, Daesincheon, Bukcheon02 and Youngsangang08 were mainly composed with soils originated from granites. The grades, which are divided into seven grades with A(very tolerable), B(tolerable), C(moderate), D(low), E(high), F(severe), G(very severe), of soil erosion estimated by USLE in catchments were distributed in most A and B because of paddy land and forestry. In detailed, the soil erosion grade of catchments mainly distributing soils originated from gneiss showed more the distribution of B and C than it of catchments mainly distributing soils originated from granites. The reason of results would be derived from topographic characteristics of soils originated from gneiss located at mountainous. The soil loss according to soil catena linked with Songsan and Jigok series, which are soils originated from gneiss was calculated with $7.66ton\;ha^{-1}\;yr^{-1}$. The soil loss of Geumgang16, Byongsungcheon01, Daesincheon, Bukcheon02 which have the soil catena linked with Samgak and Sangju soil series originated from granite, was calculated with $5.55ton\;ha^{-1}\;yr^{-1}$. The soil loss of Youngsangang08 which have the soil catena linked with Songjung and Baeksan soil series originated from granite was calculated with $9.6ton\;ha^{-1}\;yr^{-1}$, but the conclusion on soil loss in this kind of soil catena would be drawn from the analysis of more catchments. In conclusion, the results of this study inform that the classification of soil catena by catchments and estimation of soil loss according to soil catena would be effective for analysis on the grade of non-point pollution by soil erosion in a catchment.

Sediment Deposition and Future Spatial Distribution of Sediment in Saemangeum Freshwater Lake (새만금 담수호의 유사퇴적량 및 장래퇴적분포 추정)

  • Lee, Eun-Jeong;Cho, Young-Kyoung;Kim, Hak-Kwan;Park, Seung-Woo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1581-1585
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    • 2006
  • 본 연구에서는 새만금 담수호로 유입되는 유사량과 담수호의 장래퇴적분포를 추정하였다. GIS(Geographic Information System)와 범용토양유실량식(Universal Soil Loss Equation; USLE)을 적용하여 새만금 담수호 상류유역에서 발생하는 토양유실량을 산정하고, 총유실량-유사운송비(sediment delivery ratio) 법을 이용하여 담수호로 유입되는 유사량을 추정하였다. USLE에 의한 총 유실량은 2,804 천ton/yr, 새만금 소유역별 평균 유사운송비는 12%, 담수호 유입유사량은 328 천ton/yr으로 추정되었다. 새만금 담수호의 유효저수량과 유입량에 의한 포착효율(trap efficiency)을 고려하여 담수호에 실제 퇴적되는 양을 추정하고 새만금 담수호의 표고별 장래퇴적분포는 Lara method (USBR method)을 이용하였다. 새만금 담수호의 유사퇴적량은 302 천ton/yr으로 산정되었으며, Lara method에 의한 추정결과 5년, 10년 후 각각 새만금 담수호의 내용적이 0.4%, 0.7% 감소하는 것으로 나타났다.

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Estimation of the Amount of Soil toss and Main Sources of Riverbed Sediments in Each Tributary Basin of the Seomjin River in Sunchang Area, Korea (순창지역 섬진강 지류별 토양유실량 산정과 하상퇴적물의 주공급원에 관한 고찰)

  • Kwak Jae-Ho;Yang Dong-Yoon;Lee Hyun-Koo;Kim Ju-Yong;Lee Seong-Gu
    • Economic and Environmental Geology
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    • v.38 no.6 s.175
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    • pp.607-622
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    • 2005
  • This study was carried out in order to evaluate where the soil loss was mainly occurred, .and to verify how riverbed sediments in the tributaries of the Seomjin River were related to their source rocks distributed in Sunchang area. The study area including the Seomjin River with 4 tributaries of Kyeongcheon, Okgwacheon, Changjeong-cheon and Ipcheon was divided into 10 watershed. The RUSLE (Revised Universal Soil Loss Equation) was estimated for all the grids (10 m cells) in the corresponding watershed. The amount of soil loss per unit area was calculated as follows: dry fold (53,140.94 tons/ha/year), orchard (25,063.38 tons/ha/year), paddy field (6,506.7 tons/ha/year) and Idlest (6,074.36 tons/ha/year). The differences of soil loss per unit area appear to be depends on areas described earlier. Soil erosion hazard zones were generally distributed within dry fields. Several thematic maps such as land use maps, topographical maps and soil maps were used as a data to generate the RUSLE factors. The amount of soil loss, computed by using the RUSLE, showed that soil loss mainly occurred at the regions where possible source rocks were distributed along the stream. Based on the this study on soil loss and soil erosion hazard zone together with chondrite-normalized REE patterns that were previously analyzed in same study area, a closed relationship between riverbed sediments and possible source rocks is formed. Especially in the Okgwacheon that are widely distributed by various rocks, chondrite-normalized REE pattern derived from the riverbed sediments, source rock and soil is expected to have a closed relationship with the distribution of soil loss.

Estimation of Future Sediment Deposition and Sediment Distribution on Nae jang Lake (내장저수지의 장래 퇴적량 및 퇴적분포 추정)

  • Ko, Jae-Young;Park, Seung-Woo;Lee, Eun-Jung;Jang, Tae-Il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1541-1545
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    • 2006
  • 본 연구의 목적은 내장저수지의 장래 퇴적량 및 퇴적분포를 추정하는 것으로 연구 결과는 다음과 같다. 1) 내장저수지 유역의 장래 토양유실량을 추정하기 위해 Landsat-5 TM 1984년 영상과 2001년 영상을 분석하여 토지이용변화를 알아보고, 연간 토양유실량 변화를 추정하였다. 2) 내장저수지 유역의 토양유실량을 추정하기 위하여 범용토양유실공식(USLE, Universal Soil Loss Equation)을 이용하였으며, 담수호로 유입되는 양을 추정하기 위하여 유사운송비법을 사용하였다. 담수호로 유입된 유사량 중 퇴적되는 양을 추정하기 위하여 유사량-포착효율법을 이용하였다. 3) 토양유실량의 연평균증가율을 바탕으로 장래 유입 유사량 및 퇴적량을 예측하였으며, Lara법에 의한 수위-내용적 관계 및 표고별 퇴적분포를 추정하였다.

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A Study on Soil loss in Forest fire area (산불발생지역에서의 토양유실량에 관한 연구)

  • Yang, In-Tae;Park, Jae-Hoon;Chun, Ki-Sun
    • Journal of Korean Society for Geospatial Information Science
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    • v.11 no.2 s.25
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    • pp.11-16
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    • 2003
  • Soil loss by the rains has effect on natural environment. But It is difficult to find out the data that is surveyed in watershed. In this paper, we choose USLE erosion model, which could be connected easily with GSIS and available generally, and extracted factors which is entered model by using GSIS spatial analysis method. Especially, As revised USLE model, It should be applied in watershed and as it calculated soil loss before Idlest fire and behind, it analysed the degree that it have an effect on soil loss. As each analyzed factors and the result of soil loss estimate consist of 22m-pixel size, we could identify soil loss by each pixel and distribution pattern.

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Soil Erosion Risk Assessment in the Upper Han River Basis Using Spatial Soil Erosion Map (분포형 토양침식지도를 이용한 한강상류지역 토양유실 위험성 평가)

  • Park, Chan-Won;Sonn, Yeon-Kyu;Zhang, Yong-Seon;Hong, S.-Young;Hyun, Byung-Keun;Song, Kwan-Cheol;Ha, Sang-Keun;Moon, Young-Hee
    • Korean Journal of Soil Science and Fertilizer
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    • v.43 no.6
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    • pp.828-836
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    • 2010
  • This study was conducted to evaluate soil erosion risk with a standard unit watershed in the upper Han river basin using the spatial soil erosion map according to the change of landuse. The study area is 14,577 $km^2$, which consists of 10 subbasins, 107 standard unit watersheds. Total annual soil loss and soil loss per area estimated were $895{\times}10^4\;Mg\;yr^{-1}$ and 6.1 Mg $ha^{-1}\;yr^{-1}$, respectively. A result of analysis with a subbasin as a unit showed that annual soil losses and soil loss per area in Namhan river basins was more than in Bukhan river ones. Predicted annual soil loss according to the landuse ranked as Forest & Grassland > Upland ${\gg}$ Urban & Fallow area > Paddy field > Orchard. Upland area covered 6.2% of the study area, but the contribution of total annul soil loss was 40.6% and that of Forest & Grassland was 44.2%. As a evaluation of soil erosion risk using the spatial soil erosion map, we could precisely conformed the potential hazardous region of soil erosion in each unit watersheds. The ratio of regions, graded as higher "Moderate" for annual soil loss, were respectively 8.7%, 7.9% and 7.8% in 1001, 1002 and 1003 subbasins in Namhan river basin. Most landuse of these area was upland, and these area is necessary to establish soil conservation practices to reduce soil erosion based on the field observation.

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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A Study on Estimation of Rainfall Erosivity Using Frequency Analysis for Hapcheon Gauging Station (빈도해석에 의한 합천관측소의 강우침식인자 산정 연구)

  • Ahn, Jung Min;Lee, Geun Suk;Lyu, Si Wan
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.4
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    • pp.19-27
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    • 2012
  • RUSLE(Revised Universal Soil Loss Equation) has been widely used to estimate the soil loss amount of watersheds from rainfall erosivity, soil erodibility, topographic features and cropping management condition. Rainfall erosivity is the most dominant and sensitive factor among these so that the determination of reliable rainfall erosivity is essential to estimate the soil loss of watershed. Since there has been no criterion to determine the rainfall erosivity in Korea, the empirical values, determined from the relation between the annual average rainfall and erosivity or suggested by TBR(Transport Research Board), have been used for designing the erosion control structure and controlling the soil erosion for watersheds. In this study, the procedure for estimating the rainfall erosivity using frequency analysis is proposed. The most fitted distribution function, with calculated rainfall erosivities with various frequencies and durations, has been also selected. The suggested procedure can be used to estimate the optimal value of rainfall erosivity for RUSLE in order to design soil erosion structures and control the soil erosion in watersheds effectively.