• Title/Summary/Keyword: sediment runoff

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Development of Auto-calibration tool for Runoff and Sediment evaluation Model (필지단위 유출 및 유사 산정 모델 자동 검보정 툴 개발)

  • Kum, Dong-Hyuk;Choi, Jae-Wan;Shin, Dong-Suk;Cheon, Se-Uk;Lim, Kyoung-Jae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.72-72
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    • 2012
  • 고랭지 지역 등에서 매년 집중강우로 인하여 많은 양의 토양유실이 발생되고, 이로 인한 탁수 사태가 장기화되면서 많은 환경 및 사회적 문제가 발생되고 있다. 환경부에서는 2007년 고탁수 발생지역을 비점오염원 특별 관리지역으로 지정하고 전 방위적인 비점오염 저감 노력을 수행하고 있다. 최근 환경부와 농림부에서는 농업지역의 비점오염원 저감을 위해 필지단위 BMP를 적용하고, 저감효과를 모니터링하고 있으며, 2011년도에는 BMP 적용에 따른 삭감효과를 평가할 수 있는 모델이 개발되었다. 하지만 모델을 이용하여 정확한 BMP 적용에 따른 삭감효과를 산정하기 위해서는 필지에서 발생되는 유출량 및 유사량에 대한 검보정이 수행되어야한다. 그러나 기 개발된 삭감효과 산정모델은 사용자가 유출량 및 유사량에 대한 검보정을 수동으로 실시하기 때문에 검보정 과정 중 사용자의 주관적인 경향이 모델 변수 선정에 영향을 미칠 수 있어 비효율적이다. 정확성 및 객관성을 확보한 검보정 수행을 위해서는 반드시 자동 검보정 툴 개발이 필요하다. 이에 본 연구에서는 Parasol 방법을 이용하여 삭감효과 산정모델의 자동 검보정 툴을 개발하고 적용성을 평가하였다. Parasol 방법은 최적화 및 불확실성 분석방법으로, 원격 토지 표면 모델링 토양 침식, 지하 수문학과 같은 유역 모델 보정 및 수문학의 다른 분야에서 많이 사용되고 있는 SEC-UA 알고리즘을 사용하여 매개변수들을 자동 변환하고, 목적함수로 SSQ를 이용하여 최적매개변수를 찾아낸다.

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Polyacrylamide, Its Beneficial Application of Soil Erosion Control from Sloped Agricultural Fields (고분자유기응집제 (Polyacrylamide)를 활용한 농경지 사면 토양유실 저감 효과 분석)

  • Kim, Minyoung;Choi, Yonghun;Lee, Sangbong;Kim, Hyunjeong;Kim, Seounghee;Kim, Youngjin
    • Journal of The Korean Society of Agricultural Engineers
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    • v.57 no.5
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    • pp.123-128
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    • 2015
  • This study conducted a series of field experiments using soil conditioners, Polyacrylamide(PAM) and gypsum, to evaluate their effects in reducing sediment loss and surface runoff. In addition, the correction factors (K-alpha) for the erodibility factor (K) were determined to reflect the effects of PAM and PAM+gypsum in applying the USLE equation. Experimental erosion plots individually sized $10m^2$ (5 m long, 2 m wide and 1 m deep) have different slopes (10, 20 and 30%). Erosion plots were prepared for one control (C; no PAM and gypsum) and two treatments (P; PAM 20 kg/ha, PG; PAM 20 kg/ha+gypsum 3,000 kg/ha). The amounts of soil eroded and runoff were continuously monitored from July $1^{st}$ to Oct. $31^{st}$ in 2010 and compared to each other. The amount of sediment loss from a control plot was 399.2 ton/ha and the relative reduction of sediment loss were 11.4% and 33.4% for PAM-treated and PAM+gypsum treated plots, respectively. This study also determined the K-alpha factors in the USLE equation to account for the erosion control effectiveness of PAM and gypsum application. The K-alpha factors were calculated as 0.92 for PAM-treated plot and 0.69 for PAM+gypsum-treated plot. The findings of this study revealed that soil conditioners (PAM and gypsum) could play a significant role in controlling soil erosion. In addition, the modified USLE equation using the K-alpha could provide valuable information to make better decision on establishment of best management practice for soil erosion control in agriculture.

Estimation of Soil Erosion and Sediment Yield in Mountainous Stream (산지형 하천의 토양침식 및 토사유출량 산정)

  • Ko, Jae-Wook;Yang, Sung-Kee;Yang, Won-Seok;Jung, Woo-Yeol;Park, Cheol-Su
    • Journal of Environmental Science International
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    • v.22 no.5
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    • pp.599-608
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    • 2013
  • Jeju island, which is located along the moving path of typhoon, suffers from flooding and overflow by torrential rain. So abrupt runoff occurring, damages of downstream farm field and shore culturing farms are increasing. In this study, Oaedo stream, one of the mountainous streams on Jeju island, was selected as the basin of study subject and was classified into 3 sub-basins, and after the characteristics of subject basin, the soil erosion amount and the sediment delivery of the stream by land usage distribution were estimated with the use of SATEEC ArcView GIS, the sediment yield amount of 2000 and 2005 was analyzed comparatively. As a result of estimating the sediment yield amount of 2000, the three sub-basins were respectively 12,572.7, 14,080 and 157,761 tons/year. and sediment yield amounts were estimated as 35,172.9, 5,266 and 258,535 tons/year respectively in 2005. The soil erosion and sediment yield amount of 2005 using single storm rainfall were estimated high compared with 2000, but for sub-basin 2, the values rather decreased due to changes in land use, and the land coverage of 2005, since there are many classifications of land usage compared with 2000, enabling to reflect more accurate land usage condition, could deduce appropriate results. It is anticipated that such study results can be utilized as basic data to propose a direction to predict the amount of sediment yield that causes secondary flooding damage and deteriorates water quality within detention pond and grit chamber, and take action against damages in the downstream farm field and shore culturing farms.

Runoff Characteristics of Nutrients from Agroforest Culture Field (산림농업지대에서 식물영양물질의 유출특성)

  • Kim, Eun-Hyeok;Cho, Jae-Young
    • Journal of Applied Biological Chemistry
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    • v.57 no.4
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    • pp.331-336
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    • 2014
  • Sediment and nutrient loading caused by the forest to conversion of agricultural lands have led to the deterioration in near water ecosystem. This study was carried out to examine the effects of agroforest culture field and open field culture field on water quality and runoff loading of nutrient. The runoff loading of Tot-N and Tot-P in agroforest culture field were similar to open field culture field. The runoff loading of total suspended solids (TSS) in agroforest culture field and open field culture field were $2,721kg{\pm}196/10a$ and $420{\pm}29kg/10a$ in 2011 and $696kg{\pm}59/10a$ and $463{\pm}36kg/10a$ in 2012, respectively. Our investigation showed that the runoff loading of TSS from agroforest culture field decreased when soil cover and soil stabilization increased. Therefore, protect facility of soil erosion for early alteration of agricultural lands are needed to minimize the soil erosion from agroforest culture field.

Efficiency of the Non-structural BMPs with Reduced Rainfall Runoff (강우 유출수를 이용한 비구조적 BMPs의 저감효율 분석)

  • Jeon, Je Hong;Won, Chul Hee;Shin, Min Hwan;Shin, Jae Young;Lee, Su In;Yu, Na Young;Ju, So Hee;Choi, Joong Dae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.57 no.5
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    • pp.61-67
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    • 2015
  • Effect of tillage on time of initial runoff, runoff coefficient, NPS pollution load, soil erosion and crop productivity were studied. Eight runoff plots of $5{\times}30m$ on loamy sand field that were 4 respective plots of 3 % and 8% slope were prepared. Treatment included conventional tillage (CT) and no-till (NT). Time of initial runoff from NT retarded between 247~261 % compared with that from CT. Under 3% slope, runoff coefficient in NT was 63.5 % lower than that in CT. The reduction under 8 % slope was 61.7 %. Differences in runoff reduction between 3% and 8% plots were not significant. NT could reduce more than 60 % of NPS pollution and between 50~85 % of sediment if compared with CT. Productivity of NT was also shown that it was not lower than that of CT. It was expected that the results could be used as a fundamental data for estimating a reduction load in Korea TMDL from a no-till BMP on loamy sand agricultural fields.

A Study on Estimate of Sediment Yield Using Tank Model in Oship River Mouth of East Coast (Tank 모형을 이용한 동해안 오십천 하구의 유사량 평가에 관한 연구)

  • Kang, Sank-Hyeok;Ok, Yong-Sik;Kim, Sang-Ryul;Ji, Jeong-Hwan
    • Korean Journal of Environmental Agriculture
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    • v.30 no.3
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    • pp.268-274
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    • 2011
  • BACKGROUND: A large scale of sediment load delivered from watershed causes substantial waterway damages and water quality degradation. Controlling sediment loading requires the knowledge of the soil erosion and sedimentation. The various factors such as watershed size, slope, climate, land use may affect sediment delivery processes. Traditionally sediment delivery ratio prediction equations have been developed by relating watershed characteristics to measured sediment yield divided by predicted gross erosion. However, sediment prediction equations have been developed for only a few regions because of limited sediment data. Besides, little research has been done on the prediction of sediment delivery ratio for asia monsoon period in mountainous watershed. METHODS AND RESULTS: In this study Tank model was expanded and applied for estimating sediment yield to Oship River of east coast. The rainfall-runoff in 2006 was verified using the Tank model and we derived good result between observed and calculated discharge in 2009 at the same conditions. In relation to sediment yield, the sediment delivery rate of 2006 was very high than 2009 regardless of methods for estimating sediment load. It was thought to be affected by heavy rainfall due to the typhoon. CONCLUSION(s): For estimating sediment volume from watershed, long-term monitoring data on discharge and sediment is needed. This model will be able to apply to predict discharge and sediment yield simultaneously in ungauged area. This approach is more effective and less expensive method than the traditional method which needs a lot of data collection.

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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Influence of Spatial Rainfall Distribution on Sediment Yield: An Experimental Study (강우 공간분포가 토사유출에 미치는 영향의 실험적 고찰)

  • Shin, Sanghoon;Kim, Won;Lee, Seungyub;Paik, Kyungrock
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.1
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    • pp.111-117
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    • 2015
  • We investigate the influence of spatial rainfall distribution on hillslope soil erosion through laboratory experiments. Two distinct spatial distributions are examined in this study, i.e., rainfall concentrated on central area versus upper area of hillslope. During the entire period of 8 hours for each experiment, direct runoff, subsurface flow, and sediment yield are measured at high temporal resolution (10 minutes). Compared to the case that rainfalll concentrated on central area, upstream concentrated rainfall results in lower peak of the sediment yield curve while greater cumulative sediment yield. Cumulative sediment yield increases over time linearly but its growth rate shows a sudden decrease at around 2 hours. This should be taken into consideration when temporal variability of sediment yield is estimated from observed total amount, and demonstrates the necessity of measuring sediment yield at high temporal resolution.

Assessment of AnnAGNPS Model in Prediction of a Rainfall-Runoff Relationship (AnnAGNPS 모형의 강우-유출해석력 평가)

  • Choi, Kyung-Sook
    • Journal of the Korean Association of Geographic Information Studies
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    • v.8 no.2
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    • pp.125-135
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    • 2005
  • Generation and transport of nonpoint source pollution, especially sediment-associated pollutants, are profoundly influenced by hydrologic features of runoff. In order to identify pollutant export rates, hence, clear knowledge of rainfall-runoff relationship is a pre-requisition. In this study, performance of AnnAGNPS model was assessed based on the ability of the model to predict rainfall-runoff relationship. Three catchments, each under different nearly single land use, were simulated. From the results, it was found that the model was likely to produce better predictions for larger catchments than smaller catchments. Because of using the daily time scale, the model could not account for short durations less than 24 hours, especially high intensity events with multiple peak flow that significantly contribute to the generation and transport of pollutants. Since CN information for regional areas has not been built up, a careful selection of CN is needed to achieve accurate prediction of runoff volume. Storm distribution also found to be considered as an important calibration parameter for the hydrologic simulation.

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Simulation of Field Soil Loss by Artificial Rainfall Simulator - By Varing Rainfall Intensity, Surface Condition and Slope - (인공강우기에 의한 시험포장 토양유실량 모의 - 강우강도, 지표면 및 경사조건 변화 -)

  • Shin, Minhwan;Won, Chul-hee;Choi, Yong-hun;Seo, Jiyeon;Lee, Jaewoon;Lim, KyoungJae;Choi, Joong-dae
    • Journal of Korean Society on Water Environment
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    • v.25 no.5
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    • pp.785-791
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    • 2009
  • Using artificial rainfall simulator, the soil loss, which is deemed as the most cause of muddy water problem among Non-point source (NPS) pollutant, was studied by the analysis of direct runoff, groundwater discharge, and soil water storage properties concerned with rainfall intensity, slope of area, and land cover. The direct runoff showed increasing tendency in both straw covered and bared soil as slope increases from 5% to 20%. The direct runoff volume from straw covered surface were much lower than bared surface. The infiltration capacity of straw covered surface increased, because the surface sealing by fine material of soil surface didn't occur due to the straw covering. Under the same rainfall intensity and slope condition, 2.4~8.2 times of sediment yield were occurred from bared surface more than straw covered surface. The volume of infiltration increased due to straw cover and the direct runoff flow decreased with decrease of tractive force in surface. To understand the relationship of the rate of direct runoff, groundwater discharge, and soil water storage by the rainfall intensity, slope, and land cover, the statistical test was performed. It shows good relationship between most of factors, except between the rate of groundwater storage and rainfall intensity.