• Title/Summary/Keyword: runoff-water

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Runoff in upland soils at a torrential rain with soil texture and slopeness (집중강우시 우리나라 밭토양의 토성별 경사도별 물유출 양상)

  • Jung, Kang-Ho;Hur, Seung-Oh;Ha, Sang-Geon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.255-259
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    • 2005
  • 본 연구는 1981-1991년 농업과학기술원 라이시미터에서 수집한 결과를 이용하여 집중강우시 경사지 밭토양의 물유출 특성을 구명하였다. $7\~9$월 집중강우시 토양 침투수나 지표 유거수는 농업지역에서 환경으로 물질이 이동하는 주요 경로이며 특히 경사지 밭토양에서 지표 유거수는 토양유실의 주원인 중 하나이기 때문에 이에 대한 이해는 매우 중요하다. 이를 위해 강우량, 지표 유거수량, 지하 침투수량 측정 자료 중 호우주의보가 발령되는 일강우량 80mm이상일 때를 대상으로 하여 토성과 경사도에 따른 강우량과 유거수, 침투수의 관계를 분석하였다. 강우량이 적을 때 강우에 대한 침투수와 유거수의 비율은 강우시 표토의 토양수분함량에 많은 영향을 받는다. 이는 표토의 토양수분함량에 따라 유출 또는 침투 발생 유효강우량이 결정되기 때문이다. 강우량이 적을 때의 유거수량과 침투수량을 판단하기 위해 범용토양유실예측공식(Universal soil loss equation, USLE)에서는 0.5 inch 즉, 12.5 mm 이상의 강우를 유출에 대한 유효강우로 가정하고 있으며 많은 모형에서 토양의 침투속도, 포장용수량, 강우시점의 토양수분함량의 함수로 유출 또는 침투 유효강우량을 산정하고 있다. 그러나 강우량이 클 때는 강우에 대한 침투수와 유거수에 비율에 토양수분함량이 미치는 영향이 비교적 적기 때문에 토양의 수분함량에 대한 고려없이 강우와 침투수, 유거수에 대한 관계를 평가하는 것이 가능하였다. 경사도 $10\%$, 경사장 15m, 피복작물 콩인 양토를 기준으로 할 때 강우량과 침투수의 관계는 $I_{10}(mm)=0.44R(mm)+5.8(r^2=0.55)$이었다. y절이 발생한 이유는 이전 강우에 의해 침투되고 있는 물이 있음을 함축하며 기울기 0.40은 강우의 $40\%$가 지하로 침투하였음을 의미한다. 침투수량은 토성별로 양토를 1.0으로 기준할 때 사양토가 1.12로 가장 컸고, 식양토 0.94, 식토 0.91로 평가되었다. 이는 토성간의 침투속도 및 투수속도의 경향이 반영된 것이다. 경사에 따라서는 경사도가 증가할수록 지수적으로 감소하였으며 $10\% 경사일 때를 기준으로 $I(mm)=I_{10}{\times}1.17{\times}e^{-0.0164s(\%)}$로 나타났다. 같은 조건에서 강우량과 유거수의 관계는 $Ro_{10}(mm)=5.32e^{0.11R(mm)}(r^2=0.69)$로 나타났다. 이는 토양의 투수특성에 따라 강우량 증가에 비례하여 점증하는 침투수와 구분되는 현상이었다. 경사와 토양이 같은 조건에서 나지의 경우 역시 $Ro_{B10}(mm)=20.3e^{0.08R(mm)(r^2=0.84)$로 지수적으로 증가하는 경향을 나타내었다. 유거수량은 토성별로 양토를 1.0으로 기준할 때 사양토가 0.86으로 가장 작았고, 식양토 1.09, 식토 1.15로 평가되어 침투수에 비해 토성별 차이가 크게 나타났다. 이는 토성이 세립질일 수록 유거수의 저항이 작기 때문으로 생각된다. 경사에 따라서는 경사도가 증가할수록 증가하였으며 $10\% 경사일 때를 기준으로 $Ro(mm)=Ro_{10}{\times}0.797{\times}e^{-0.021s(\%)}$로 나타났다.

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Runoff Characteristics Analysis in the ImJin-River Basin (2005년 임진강 유역의 유출특성 분석)

  • Kim, Dong-Phil;Jung, Sung-Won;Lee, Seok-Ho;Lee, Sang-Cheol
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1756-1761
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    • 2006
  • 본 연구의 목적은 임진강 유역을 대상으로 2005년에 발생한 유출특성을 분석하는데 있다. 임진강 유역은 유역전체 면적중 2/3이상이 북한지역에 위치하고 있어서 전체적인 수문관측 자료를 수집하기 어려운 상황에 있으나, 가용한 수문관측 자료 및 유량측정성과를 이용하여 5개 지점에 대한 유출특성을 분석하였다. 임진강 유역에서는 30분 단위의 연속적인 우량 및 수위관측(건설교통부)을 하고 있으며, 기상청에서는 1시간 단위의 기상관측을 하고 있다. 우량 및 수위자료의 수집과 검토를 통하여 유역면적우량과 5개 수위관측소의 수위를 최종 확정하였다. 그리고 2005년에 측정한 유량측정성과를 통하여 유량측정성과에 대한 불확실도, 기본 수리특성 분석, 수위-유량관계곡선식을 개발하여 유량을 산정하였다. 산정된 유량은 월별, 주요 호우사상별 유출률 분석을 통하여 합리적인 유출률 범위내에서 재 조정절차를 거쳐 최종 유량을 확정하였다. 산정된 유출률은 57.0%(영중)${\sim}$72.1%(적성)의 유출률을 보였으며, 2004년 임진강 유량측정용역 보고서의 유출률과 비교한 결과 일부지점을 제외하고는 비교적 일치하는 것으로 나타났다. 임진강 유역의 일부인 설마천 시험유역에서의 2005년 연간 유출률은 60.9%로 상기의 값은 매우 타당하다고 할 수 있다. 그리고, 남북한 수문자료의 공유 및 기술적 교류, 유역 전체의 정밀한 수문관측 및 신뢰성 있는 수문자료 생성이 이루어진다면 보다 정확한 유출특성 거동을 분석할 수 있을 것이며, 효과적인 치수 및 이수계획의 수립 등 수자원 개발을 위한 기반을 확보할 수 있을 것이다.수리모형실험과 연계하여 댐 설계에 효율적으로 사용될 수 있을 것으로 전망된다.지는 것으로 평가되었다. 그러나 본 연구결과를 통하여 투수성 포장과 지하수에 관련된 매개변수의 집적과 분석결과는 현장기술 적용 시 매개변수의 유용한 선택과 도시유역의 물 순환 건전화 대안기술 적용에 효과적인 방법론을 제시할 수 있을 것으로 사료된다.첨두홍수량을 저류하기 위해서 상대적으로 넓은 저류면적이 필요한 것으로 나타난다. 대등한 수위감소값의 홍수저감효과를 발휘하기 위해서 본 연구에서는 On-Line 저류지 면적은 Off-Line 저류지에 비 두배 이상이 필요한 것으로 보여졌다.들에 관한 정보는 종종 현장관측에서 조차 무시되는 경우가 많다. 이에 본 연구에서는 수질모형의 매개변수 중 특히 수리특성에 관련된 매개변수들이 수질에 미치는 영향을 파악하는 것을 목적으로 하고 있다. 이를 위해 적용된 수질모형은 QualKo를 사용하였으며, 대상 하천은 낙동강 본류 경남구간 시점 부근인 회천 합류 전부터 낙동강 본류 경남구간 종점 부근인 밀양강 합류 전까지의 경남 오염총량관리 기본계획 시 구축된 모형 매개변수를 바탕으로 분석을 수행하였다. 일차오차분석을 이용하여 수리매개변수와 수질매개변수의 수질항목별 상대적 기여도를 파악해 본 결과, 수리매개변수는 DO, BOD, 유기질소, 유기인 모든 항목에 일정 정도의 상대적 기여도를 가지고 있는 것을 알 수 있었다. 이로부터 수질 모형의 적용 시 수리 매개변수 또한 수질 매개변수의 추정 시와 같이 보다 세심한 주의를 기울여 추정할 필요가 있을 것으로 판단된다.변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기

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Estimation of Mega Flood Using Mega Rainfall Scenario (거대강우 시나리오를 이용한 거대홍수량 산정)

  • Han, Daegun;Kim, Deokhwan;Kim, Jungwook;Jung, Jeawon;Lee, Jongso;Kim, Hung Soo
    • Journal of Wetlands Research
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    • v.21 no.spc
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    • pp.90-97
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    • 2019
  • In recent years, flood due to the consecutive storm events have been occurred and property damage and casualties are in increasing trend. This study calls the consecutively occurred storm events as a mega rainfall scenario and the discharge by the scenario is defined as a mega flood discharge. A mega rainfall scenario was created on the assumption that 100-year frequency rainfall events were consecutively occurred in the Gyeongancheon stream basin. The SSARR (Streamflow Synthesis and Reservoir Regulation) model was used to estimate the mega flood discharge using the scenario in the basin. In addition, in order to perform more reasonable runoff analysis, the parameters were estimated using the SCE_UA algorithm. Also, the calibration and verification were performed using the objective functions of the weighted sum of squared of residual(WSSR), which is advantageous for the peak discharge simulation and sum of squared of residual(SSR). As a result, the mega flood discharge due to the continuous occurrence of 100-year frequency rainfall events in the Gyeongan Stream Basin was estimated to be 4,802㎥/s, and the flood discharge due to the 100-year frequency single rainfall event estimated by "the Master Plan for the Gyeongancheon Stream Improvement" (2011) was 3,810㎥/s. Therefore, the mega flood discharge was found to increase about 992㎥/s more than the single flood event. The results of this study can be used as a basic data for Comprehensive Flood Control Plan of the Gyeongan Stream basin.

Application of Snowmelt Parameters and the Impact Assessment in the SLURP Semi-Distributed Hydrological Model (준 분포형 수문모형 SLURP에서 융설매개변수 적용 및 영향 평가)

  • Shin, Hyung-Jin;Kim, Seong-Joon
    • Journal of Korea Water Resources Association
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    • v.40 no.8
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    • pp.617-628
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    • 2007
  • The purpose of this paper is to prepare snowmelt parameters using RS and GIS and to assess the snowmelt impact in SLURP (Semi-distributed Land Use-based Runoff Process) model for Chungju-Dam watershed $(6,661.5km^2)$. Three sets of NOAA AVHRR images (1998-1999, 2000-2001, 2001-2002) were analyzed to prepare snow-related data of the model during winter period. Snow cover areas were extracted using 1, 3 and 4 channels, and the snow depth was spatially interpolated using snowfall data of ground meteorological stations. With the snowmelt parameters, DEM (Digital Elevation Model), land cover, NDVI (Normalized Difference Vegetation Index) and weather data, the model was calibrated for 3 years (1998, 2000, 2001), and verified for 1 year (1999) using the calibrated parameters. The average Nash-Sutcliffe efficiencies for 4 years (1998-2001) discharge comparison with and without snowmelt parameters were 0.76 and 0.73 for the full period, and 0.57 and 0.19 for the period of January to May. The results showed that the spatially prepared snow-related data reduced the calibration effort and enhanced the model results.

Development of a Rainfall Time Distribution Model for Urban Watersheds (도시유역의 유출특성을 고려한 강우분포 모형의 개발)

  • Joo, Jin-Gul;Lee, Jung-Ho;Jo, Deok-Jun;Jun, Hwan-Don;Kim, Joong-Hoon
    • Journal of Korea Water Resources Association
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    • v.40 no.8
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    • pp.655-663
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    • 2007
  • This study suggests a new time distribution method of rainfall for small urban watersheds. IETD (Interevent Time definition) determination method considering basin characteristics and dimensionless accumulation rainfall curves involving rainfall events with shorter duration than 3-hours are suggested. A new definition of IETD is the time period from the end of a rainfall event to the end of a direct runoff. Using the method, we drive an area-IETD regression curve for the Joong-Rang basin. The rainfall event with 10 year-return periods, 2-hour duration is distributed and applied four urban watersheds. In the four watersheds, we calculate hydrographs for four watersheds using SWMM and compare them with ones of the Huff's distribution model. From the comparison, we find that peak flows resulted from the developed methodology are $11\sim15%$ larger than ones from the Huff's model. As conclusion, the Huff method should be adopted for the urban watersheds with careful verification.

Optimization of Tank Model Parameters Using Multi-Objective Genetic Algorithm (I): Methodology and Model Formulation (다목적 유전자알고리즘을 이용한 Tank 모형 매개변수 최적화(I): 방법론과 모형구축)

  • Kim, Tae-Soon;Jung, Il-Won;Koo, Bo-Young;Bae, Deg-Hyo
    • Journal of Korea Water Resources Association
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    • v.40 no.9
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    • pp.677-685
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    • 2007
  • The objective of this study is to evaluate the applicability of multi-objective genetic algorithm(MOGA) in order to calibrate the parameters of conceptual rainfall-runoff model, Tank model. NSGA-II, one of the most imitating MOGA implementations, is combined with Tank model and four multi-objective functions such as to minimize volume error, root mean square error (RMSE), high flow RMSE, and low flow RMSE are used. When NSGA-II is employed with more than three multi-objective functions, a number of Pareto-optimal solutions usually becomes too large. Therefore, selecting several preferred Pareto-optimal solutions is essential for stakeholder, and preference-ordering approach is used in this study for the sake of getting the best preferred Pareto-optimal solutions. Sensitivity analysis is performed to examine the effect of initial genetic parameters, which are generation number and Population size, to the performance of NSGA-II for searching the proper paramters for Tank model, and the result suggests that the generation number is 900 and the population size is 1000 for this study.

Nitrogen, Phosphorus, and Organic Carbon Discharges in the Imgo Small Agricultural Watershed Catchment (임고천상류 소규모 농업유역에서 하천으로의 질소, 인 및 유기물의 부하)

  • Chung, Jong-Bae;Kim, Min-Kyeong;Kim, Bok-Jin;Park, Woo-Churl
    • Korean Journal of Environmental Agriculture
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    • v.18 no.1
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    • pp.70-76
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    • 1999
  • Since high concentrations of N, P, and organic C cause the excessive eutrophication in water systems, the control of nutrient export from agricultural nonpoint sources has become important. This study was conducted to estimate discharges of N, P, and organic C from a small agricultural watershed of the upper Imgo stream in Youngchun, Kyongbuk. Of the total area(1.420ha), 25% was agricultural land including paddy, upland and orchards and most of the remainder was forest. The resident population in the watershed was 194 in 80 households and relatively small numbers of livestocks including cow were raised. Mean concentrations of nutrients in the stream water were 4.95, 0.80, 6.72, 0.07 and 2.52mg/L for $NO_3-N$, $NH_4-N$, Total N, Total P and COD respectively. Annual discharges in 1997 were 28,991kg of $NO_3-N$. 3,010kg of $NH_4-N$, 37,006kg of Total N. 590kg of Total P, and 29,138kg of COD. There was a strong positive relationship between stream flow and precipitation, and also most of the nutrient discharges occurred in the rainy season (May to August). Since there was no any other industries in the watershed, agricultural practices and sewage from the resident households, forest runoff and livestock wastes were the major sources of NPS discharges. A combination of management options, including management of soil erosion and fertilizer application, could lead to reductions in nutrient exports.

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Evaluation of SWAT Applicability to Simulate Soil Erosion at Highland Agricultural Lands (고랭지 농경지의 토양유실모의를 위한 SWAT 모형의 적용성 평가)

  • Heo, Sung-Gu;Kim, Ki-Sung;Sa, Gong-Myong;Ahn, Jce-Hun;Lim, Kyoung-Jae
    • Journal of Korean Society of Rural Planning
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    • v.11 no.4 s.29
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    • pp.67-74
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    • 2005
  • The Doam watershed is located at alpine areas and the annual average precipitation, including snow accumulation, is significant higher than other areas. Thus, pollutant laden runoff and sediment discharge from the alpine agricultural fields are causing water quality degradation at the Doam watershed. To estimate soil erosion from the agricultural fields, the Universal Soil Loss Equation (USLE) has been widely used because of its simplicity to use. In the early spring at the Doam watershed, the stream flow increases because of snow melt, which results in erosion of loosened soil experiencing freezing and thaw during the winter. Also, extremely torrential rainfall, such as the typhoons 'RUSA' in 2002 and 'MAEMI' in 2003, caused significant amounts of soil erosion and sediment at the Doam watershed. However, the USLE model cannot simulate impacts on soil erosion of freezing and thaw of the soil. It cannot estimate sediment yield from a single torrential rainfall event. Also, it cannot simulate temporal changes in USLE input parameters. Thus, the Soil and Water Assessment Tool (SWAT) model was investigated for its applicability to estimate soil erosion at the Doam watershed, instead of the widely used USLE model. The SWAT hydrology and erosion/sediment components were validated after calibration of the hydrologic component. The R$^2$ and Nash-Sutcliffe coefficient values are higher enough, thus it is found the SWAT model can be efficiently used to simulate hydrology and sediment yield at the Doam watershed. The effects of snow melt on SWAT estimated stream flow and sediment were investigated using long-term precipitation and temperature data at the Doam watershed. It was found significant amount of flow and sediment in the spring are contributed by melting snow accumulated during the winter. Two typhoons in 2002 and 2003, MAEMI and RUSA, caused 33% and 22% of total sediment yields at the Doam watershed, respectively. Thus, it is recommended that the SWAT model, capable of simulating snow melt, sediment yield from a single storm event, and long-term weather data, needs to be used in estimating soil erosion at alpine agricultural areas to develop successful soil erosion management instead of the USLE.

Downscaling GPM Precipitation Using Finer-scale MODIS Based Optical Image in Korean Peninsula (MODIS 광학 영상 자료를 통한 한반도 GPM 강우 자료의 상세화 기법)

  • Oh, Seungcheol;Jeong, Jaehwan;Lee, Seulchan;Choi, Minha
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.749-762
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    • 2020
  • Precipitation is closely related to various hydrometeorological phenomena, such as runoff and evapotranspiration. In Korean Peninsula, observing rainfall intensity using weather radar and rain gauge network is dominating due to their accurate, intuitive and precise detecting power. However,since these methods are not suitable at ungauged regions, rainfall detection using satellite is required. Satellite-based rainfall data has coarse spatial resolution (10 km, 25 km), and has a limited range of usage due to its reliability of data. The aim of this study is to obtain finer scale precipitation. Especially, to make the applicability of satellite higher at ungauged regions, 10 km satellite-based rainfall data was downscaled to 1 km data using MODerate Resolution Imaging Spectroradiometer (MODIS) based cloud property. Downscaled precipitation was verified in urban region, which has complex topographical and environmental characteristics. Correlation coefficient was similar in summer (+0), decreased in spring (-0.08) and autumn (-0.01), and increased in winter (+0.04) season compared to Global Precipitation Measurement (GPM) based precipitation. Downscaling without calibration using in situ data could be useful in areas where rain gauge system is not sufficient or ground observations are rarely available.

Estimation of Pollutants Loading from Non-Point Sources Based on Rainfall Event and Land use Characteristics (강우강도와 토지이용을 고려한 비점오염물질 부하량 산정에 관한 연구)

  • Lee, Hye-Won;Choi, Nam-Hee;Lee, Yong-Seok;Choi, Jung-Hyun
    • Journal of Korean Society of Environmental Engineers
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    • v.33 no.8
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    • pp.572-577
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    • 2011
  • The unit load has simply been used to estimate total pollutant loading from non-point sources, however, it does not count on the variable pollutant loading according to land use characteristics and rainfall intensity. Since pollutant emission from the watershed is strongly dependent on the rainfall intensity, it is necessary to find out the relationship between pollutant loading and rainfall intensity. The objective of this study is to develop simple and easy method to compute non-point source pollution loads with consideration of rainfall intensity. Two non-point source removal facility at Gyeongan-dong (Gwangju-si) and Mohyeon-myeon (Yongin-si), Gyeonggi-do was selected to monitor total rainfall, rainfall intensity, runoff characteristics and water quality from June to November, 2010. Most of Event Mean Concentrations (EMC) of measured water quality data were higher in Gyeongan which has urban land use than in Mohyeon which has rural land use. For the case of TP (Total Phosphorus), Mohyeon has higher values by the influence of larger chemical uses such as fertilizer. The relationship between non-point source pollution load and rainfall intensity is perfectly well explained by cubic regression with 0.33~0.81 coefficients of determination($R^2$). It is expected that the pollution loading function based on the long-term monitoring would be very useful with good accuracy in computing non-point source pollution load, where a rainfall intensity is highly variable.