• Title/Summary/Keyword: SoilLoss

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An overview of applicability of WEQ, RWEQ, and WEPS models for prediction of wind erosion in lands

  • Seo, Il Whan;Lim, Chul Soon;Yang, Jae Eui;Lee, Sang Pil;Lee, Dong Sung;Jung, Hyun Gyu;Lee, Kyo Suk;Chung, Doug Young
    • Korean Journal of Agricultural Science
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    • v.47 no.2
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    • pp.381-394
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    • 2020
  • Accelerated soil wind erosion still remains to date to cause severe economic and environmental impacts. Revised and updated models to quantitatively evaluate wind induced soil erosion have been made for specific factors in the wind erosion equation (WEQ) framework. Because of increasing quantities of accumulated data, the WEQ, the revised wind erosion equation (RWEQ), the wind erosion prediction system (WEPS), and other soil wind erosion models have been established. These soil wind erosion models provide essential knowledge about where and when wind erosion occurs although naturally, they are less accurate than the field-scale. The WEQ was a good empirical model for comparing the effects of various management practices on potential erosion before the RWEQ and the WEPS showed more realistic estimates of erosion using easily measured local soil and climatic variables as inputs. The significant relationship between the observed and predicted transport capacity and soil loss makes the RWEQ a suitable tool for a large scale prediction of the wind erosion potential. WEPS developed to replace the empirical WEQ can calculate soil loss on a daily basis, provide capability to handle nonuniform areas, and obtain predictions for specific areas of interest. However, the challenge of precisely estimating wind erosion at a specific regional scale still remains to date.

Spatially Distributed Model for Soil Loss Vulnerability Assessment in Mekong River Basin

  • Thuy, H.T.;Lee, Giha;Lee, Daeeop;Sophal, Try
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.188-188
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    • 2016
  • The Mekong which is one of the world's most significant rivers plays an extremely important role to South East Asia. Lying across six riparian countries including China, Myanmar, Thailand, Laos, Cambodia and Vietnam and being a greatly biological and ecological diversity of fishes, the river supports a huge population who living along Mekong Basin River. Therefore, much attention has been focused on the giant Mekong Basin River, particularly, the soil erosion and sedimentation problems which rise critical impacts on irrigation, agriculture, navigation, fisheries and aquatic ecosystem. In fact, there have been many methods to calculate these problems; however, in the case of Mekong, the available data have significant limitations because of large area (about 795 00 km2) and a failure by management agencies to analyze and publish of developing countries in Mekong Basin River. As a result, the Universal Soil Loss Equation (USLE) model in a GIS (Geographic Information System) framework was applied in this study. The USLE factors contain the rainfall erosivity, soil erodibility, slope length, steepness, crop management and conservation practices which are represented by raster layers in GIS environment. In the final step, these factors were multiplied together to estimate the soil erosion rate in the study area by using spatial analyst tool in the ArcGIS 10.2 software. The spatial distribution of soil loss result will be used to support river basin management to find the subtainable management practices by showing the position and amount of soil erosion and sediment load in the dangerous areas during the selected 56- year period from 1952 to 2007.

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Energy Conservation for Runoff and Soil Erosion on the Hillslope (산지사면의 유출 및 토양침식에 대한 에너지 보존)

  • Shin, Seung-Sook;Park, Sang-Deog;Cho, Jae-Woong;Hong, Jong-Sun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.234-238
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    • 2008
  • The energy conservation theory is introduced for investigating processes of runoff and soil erosion on the hillslope system changed vegetation condition by wildfire The rainfall energy, input energy consisted of kinetic and potential energy, is influenced by vegetation coverage and height. Output energy at the outlet of hillslope is decided as the kinetic energy of runoff and erosion soil, and mechanical work according to moving water and soil is influenced dominantly by the work rather than the kinetic energy. Relationship between output and input energy is possible to calculate the energy loss in the runoff and erosion process. The absolute value of the energy loss is controlled by the input energy size of rainfall because energy losses of runoff increase as many rainfall pass through the hillslope system. The energy coefficient which is dimensionless is defined as the ratio of input energy of rainfall to output energy of runoff water and erosion soil such as runoff coefficient. The energy coefficient and runoff coefficient showed the highest correlation coefficient with the vegetation coverage. Maximum energy coefficient is about 0.5 in the hillslope system. The energy theory for output energy of runoff and soil erosion is presented by the energy coefficient theory associated with vegetation factor. Also runoff and erosion soil resulting output energy have the relation of power function and the rates of these increase with rainfall.

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Evaluation of Amending Materials to Reduce Soil Loss from Sloping Remediated Agricultural Land (급경사 복원 농경지 토양 유실 저감을 위한 개량제 효율 및 현장 적용성 평가)

  • Hwang, Wonjae;Park, Minseok;Hyun, Seunghun;Ji, Won hyun;Lee, Sang-Hwan
    • Ecology and Resilient Infrastructure
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    • v.4 no.3
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    • pp.180-185
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    • 2017
  • Restoration of min-impacted arable land is often performed through stabilization of trace elements by amendment treatment combined with (clean) soil covering on the surface. Recently, soil loss problem from sloping remediated agricultural lands has risen as an emerging concern. In this study, efficacy of aggregation formation was assessed by single and binary treatments of four potential amendments (bentonite, lime, organic matter, and steel slag) applied on three cover soils having different clay contents (9.4, 14.7, and 21.2% for A, B, and C soils respectively). In results of single treatments, 5% organic matter for A soil and 5% lime for B and C soils were found most effective for the aggregation formation compared to the respective controls (without amendments). Among nine binary treatments, 3% organic matter + 1% lime for A soil and 1% organic matter + 3% lime for both B and C soils led to the highest formation of aggregation (30.4, 25.0, and 36.5% for A, B, and C soils). For a site-application, the soil erodibility difference between the cover soils (0.045, 0.051, and 0.054 for A, B, and C soils, respectively) and the national average of arable land (0.032) was assumed to be compensated by amendment addition, which is equivalent to 29.1% aggregation formation. To achieve the aggregation goal, 5% lime for A and B soils and 3% lime for C soil were best in the consideration of benefit/cost, thereby effectively and economically reducing soil loss from sloping remediation site. Soil alkalinity induced by lime treatment was not considered in this work.

Comparative Analysis by Soil Loss and Sediment Yield Analysis Calculation Method of River using RUSLE and GRID (RUSLE와 GRID를 이용한 하천의 토양유실량 및 유사유출량 산정방법별 비교분석)

  • Park, Eui-Jung;Kim, Chul
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.2
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    • pp.112-121
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    • 2007
  • In occasion of soil loss happened in a basin, soil in the near of a stream may flow into the stream easily, but in case that soil is far away from the stream, sediment yield transferred to rivers by rainfall diminishes. To forecast sediment yield of a stream is an essential item for management of basins and streams. Therefore, sediment yield of soil loss produced from a basin is needed to be calculated as accurate as possible. Purpose of the present research is to calculate soil erosion amount in a basin and to forecast sediment yield flowed into a stream by rainfall and analyze sediment yield in the stream. There are various methods that analyze sediment yield of rivers. In the present study, the soil erosion amount was calculated using Revised Universal Soil Loss Equation(RUSLE) and GRID, and sediment yield was calculated using sediment delivery ratio and empirical methods. DEM data, slope of basin, soil map and landuse constructed by GIS were used for input data of RUSLE. The upstream area of the Yeongsan river basin in Gwangju metropolitan city was selected for the study area. Three methods according to the calculation of LS factor were applied to estimate the soil erosion amount. Two sediment delivery ratio methods for the respective methods were applied and, correspondingly, six occasions in sediment yield were calculated. In addition, the above results were compared by relative amount with estimation by the empirical method of Ministry of Construction & Transportation. Sediment yield calculated in the present study may be utilized for the plan, design and management of dams and channels, and evaluation of disaster impact.

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The Effect of Soil Warming on the Greenhouse Heating Load (지중가온이 온실의 난방부하에 미치는 영향)

  • Nam, Sang-Woon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.5
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    • pp.51-60
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    • 2006
  • In order to examine the heat transfer characteristic of a soil warming system and effects of soil warming on the greenhouse heating load, control experiments were performed in two greenhouses covered with double polyethylene film. One treated the soil warming with an electric heat wire and the other treated a control. Inside and outside air temperature, soil temperature and heat flux, and heating energy consumption were measured under the set point of heating temperature of $5,\;10,\;15,\;and\;20^{\circ}C$, respectively. Soil temperatures in a soil warming treatment were observed $4.1\;to\;4.9^{\circ}C$ higher than a control. Heating energy consumptions decreased by 14.6 to 30.8% in a soil warming treatment. As the set point of heating temperature became lower, the rate of decrease in the heating energy consumptions increased. The percentage of soil heat flux in total heating load was -49.4 to 24.4% and as the set point of heating temperature became higher, the percentage increased. When the set point of heating temperature was low in a soil warming treatment, the soil heat flux load was minus value and it had an effect on reducing the heating load. Soil heat flux loads showed in proportion to the air temperature difference between the inside and outside of greenhouse but they showed big difference according to the soil warming treatment. So new model for estimation of the soil heat flux load should be introduced. Convective heat transfer coefficients were in proportion to the 1/3 power of temperature difference between the soil surface and the inside air. They were $3.41\;to\;12.42\;W/m^{2}^{\circ}C$ in their temperature difference of $0\;to\;10^{\circ}C$. Radiative heat loss from soil surface in greenhouse was about 66 to 130% of total heating load. To cut the radiation loss by the use of thermal curtains must be able to contribute for the energy saving in greenhouse.

Discussion of Cropping Management Factor for Estimating Soil Loss (토양유선량(土壤流先量) 예측(豫測)을 위(爲)한 작부인자(作付因子) 검토(檢討))

  • Jung, Pil Kyun;Ko, Mun-Hwan;Um, Ki-Tae
    • Korean Journal of Soil Science and Fertilizer
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    • v.18 no.1
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    • pp.7-13
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    • 1985
  • The cropping management factor, C, in the Universal Soil Loss Equation (USLE) has been measured on a newly reclaimed Yesan sandy loam of 20% slope under various cropping system. Soil losses measured from lysimeter were 12.9, 5.4, 3.1, and 1.2 ton/10a for clean tilled, corn, barley-soybean, and grass, respectively. The values of C to be utilized in Soil-Loss Equation was obtained as fallows; corn 0.47, upland rice 0.34, barley-soybean 0.18, barley-sweet potato 0.10, grass 0.08, barley-corn 0.34, wheat-soybean 0.25, barley-corn (Soybean) 0.42, barley-corn (sweet potato) 0.37, wheat-sesame 0.20, barley-red pepper 0.18, red pepper 0.32, sesame 0.28, potato-soybean 0.26, respectively. According to the comparisons between the actual soil loss measured by lysimeter and the soil loss predicted by the USLE, the smallest difference of both method came from barley-soybean while the largest came from corn.

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Effect of Hairy Vetch (Vicia villosa Roth) Sod Culture on Reducing Soil Loss and Providing Nitrogen for Chinese Cabbage in Highland (고랭지 배추 재배지에서 헤어리베치 초생재배에 의한 토양유실 경감 및 질소비료 공급효과)

  • Lee, Jeong-Tae;Lee, Gye-Jun;Park, Chol-Soo;Hwang, Seon-Woong;Yeoung, Young-Rog
    • Korean Journal of Soil Science and Fertilizer
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    • v.38 no.5
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    • pp.294-300
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    • 2005
  • The effect of hairy vetch sod culture on reduction of soil loss and providing of nitrogen was investigated for the fields of Chinese cabbage in Hoenggye-Ri, Pyeongchang-Gun Gangwon-Do (780 m above sea level) from 2002 to 2003. Hairy vetch was sowed at just before planting, 15, 30 and 40 days after planting and right after harvest of Chinese cabbage. Hairy vetch was sod-cultivated with Chinese cabbage. The amount of sowing was $40kg\;10a^{-1}$. In this experiment, proper sowing times that had no influence on the yield of Chinese cabbage were 30 and 40 days after planting while other sowing times led to decrease the yield. In case of the former, there was 74% reduction effect of soil loss compared with no-hairy vetch because of covering the fields with hairy vetch right after harvest. Moreover, when the hairy vetch was put into the soil before planting of Chinese cabbage in the next year, it showed 61-79% substitution effect of standard application rate ($320kg\;ha^{-1}$, chemical fertilizer) for nitrogen fertilizer. It is suggested that using hairy vetch as cover crop would be useful in conservation of soil loss and reduction input of agricultural materials.

Fragility-based rapid earthquake loss assessment of precast RC buildings in the Marmara region

  • Ali Yesilyurt;Oguzhan Cetindemir;Seyhan O. Akcan;Abdullah C. Zulfikar
    • Structural Engineering and Mechanics
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    • v.88 no.1
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    • pp.13-23
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    • 2023
  • Seismic risk assessment studies are one of the most crucial instruments for mitigating casualties and economic losses. This work utilizes fragility curves to evaluate the seismic risk of single-story precast buildings, which are generally favored in Marmara's organized industrial zones. First, the precast building stock in the region has been categorized into nine sub-classes. Then, seven locations in the Marmara region with a high concentration of industrial activities are considered. Probabilistic seismic hazard assessments were conducted for both the soil-dependent and soil-independent scenarios. Subsequently, damage analysis was performed based on the structural capacity and mean fragility curves. Considering four different consequence models, 630 sub-class-specific loss curves for buildings were obtained. In the current study, it has been determined that the consequence model has a significant impact on the loss curves, hence, average loss curves were computed for each case investigated. In light of the acquired results, it was found that the loss ratio values obtained at different locations within the same region show significant variation. In addition, it was observed that the structural damage states change from serviceable to repairable or repairable to unrepairable. Within the scope of the study, 126 average loss functions were presented that could be easily used by non-experts in earthquake engineering, regardless of structural analysis. These functions, which offer loss ratios for varying hazard levels, are valuable outputs that allow preliminary risk assessment in the region and yield sensible outcomes for insurance activities.

The Monitoring of Sediment on the Basin Using LiDAR Data (LiDAR 자료를 이용한 유역의 퇴적물 모니터링)

  • Kang Joon-Mook;Kang Young-Mi
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.24 no.1
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    • pp.27-36
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    • 2006
  • Most of domestic multipurpose dams were basin area to be large, therefore, soil loss were occurred by downpour in the rainy season, They have caused to accumulate sediments on the river and dam reservoir that brought the decrease of storage volume and difficulties of the quality management of water. Until now, the measurement cycle of sediments surveying was long and it was designed to use surveying the degree of sediments, Thus there were many difficult things to secure accuracy. In this study, it was intended to analyze the origin position tracing of sediments and the movement route, for this purpose, aerial LiDAR technology was applied to precise sediments surveying. The amount and location of soil loss were evaluated by classified properties of soil, land-cover, and topographical conditions in detail. Therefore, the reliance could be maintained in analyzing the route of soil loss by extracting the flow within a watercourse and using the advanced accurate DEM.