• 제목/요약/키워드: Long-term runoff

검색결과 284건 처리시간 0.027초

RAINFALL AND RUNOFF VARIATION ANALYSIS FOR WATER RESOURCES MANAGEMENT STRATEGIES

  • Sang-man;Heon, Joo-;Jong-ho;Kum-young
    • Water Engineering Research
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    • 제5권3호
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    • pp.111-121
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    • 2004
  • For the long-term strategic water resources planning, forecasting the future streamflow change is important to meet the demand of a growing society. The streamflow variation to the decade-long precipitation was investigated for the two major stage gauging stations in Korea. Precipitation and runoff characteristics have been analyzed at Yongwol stream stage in the Han River as well as Sutong stream stage in the Kum River for the future water resources management strategies. Monte Carlo method has been applied to estimate the future precipitation and runoff. Based on the trend line of 10-year moving average of runoff depth for the historical runoff records, the relation between runoff and the time variation was examined in more detail using regression analysis. This study showed that the surface flows have been significantly decreased while precipitation has been stable in these basins. Decreasing in runoff reflects the regional watershed characteristics such as forest cover changes. The findings of this study could contribute to the planning and development for the efficient water resources utilization.

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Long Term Monitoring of Storm Surface Runoff from Urban Pavement Road in Korea

  • Lee, C.S.;Seo, G.T.;Lee, J.H.;Yoon, Y.S.;You, J.J.;Sin, C.K.
    • Environmental Engineering Research
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    • 제13권4호
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    • pp.184-191
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    • 2008
  • Long term monitoring was conducted to investigate a surface runoff of pollution from urban highway. The monitoring data was collected for 18 rainfall events and was used to correlate pollution load to various parameters, such as rainfall intensity, antecedent dry days and total discharge flow. Runoff coefficient and seasonal variation were also evaluated. The mean runoff coefficient of the highway was 0.823(range; $0.4687{\sim}0.9884$), and wash-off ratio for $COD_{Mn}$ and SS loads was 72.6% and 64.3%, respectively. For the initial rainfall event, the runoff EMC of $COD_{Mn}$ was high in summer and the EMC of SS was high in autumn season. However the seasonal variation of T-N and T-P was not significant. The discharged $COD_{Mn}$-EMC was $147.6\;mg/L{\sim}9.0\;mg/L$ on the generated $COD_{Mn}$-EMC of $98.8\;mg/L{\sim}8.9\;mg/L$. While the generated EMC of SS was in $285.7\;mg/L{\sim}20.0\;mg/L$ and its discharged EMC was in $190.4\;mg/L{\sim}8.0\;mg/L$. EMC of pollutants was not directly related to the first flush rainfall intensity and the antecedent dry days. But the correlation was relatively high between EMC and cumulative runoff flow volume. The trend of EMC was reduced with the cumulative runoff flow volume.

유출모의를 위한 주요제어지점 유량특성 분석 (Analysis of Stream Discharge Characteristic at Control Point for Runoff Model Application)

  • 이상진;이배성;류경식;황만하
    • 한국수자원학회논문집
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    • 제39권11호
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    • pp.905-914
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    • 2006
  • 유역의 정확한 강우-유출관계를 모의하기 위해서는 모형의 적용과 더불어 관측자료의 정확한 평가 및 검증이 병행되어야 한다. 본 연구에서는 SSARR모형을 금강유역에 적용하여 모의결과를 주요제어지점인 공주지점의 유량과 비교하였다. 분석결과 이수기시 저수위 구간에서 상당한 오차가 발생하였으며, 이에 대한 원인 분석을 위해 과거 관측유량자료(Rating Curve)의 신뢰도분석 및 유량 재관측($'03{\sim}'05$년)을 실시하였고, 유출성분 분석기법을 활용한 장기유출량을 산정하여 제어지점의 수리특성을 명확히 분석하고자 하였다. 분석결과 SSARR 모의결과 및 유출성분분석에 의한 장기유출량 산정결과는 재관측된 유량과 근사한 것으로 분석되었으나, 기존의 관측유량은 지점의 공간적 특성에 기인한 수리학적 영향으로 인해 평 갈수기시 약 $10{\sim}20%$ 과대 산정된 것으로 분석되어 이에 관한 보정 및 지속적인 모니터링이 필요하다.

강우-유출모형의 매개변수 보정을 위한 최적화 기법의 비교분석 (The Comparative Analysis of Optimization Methods for the Parameter Calibration of Rainfall-Runoff Models)

  • 김선주;지용근;김필식
    • 한국농공학회논문집
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    • 제47권3호
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    • pp.3-13
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    • 2005
  • The conceptual rainfall-runoff models are used to predict complex hydrological effects of a basin. However, to obtain reliable results, there are some difficulties and problems in choosing optimum model, calibrating, and verifying the chosen model suitable for hydrological characteristics of the basin. In this study, Genetic Algorithm and SCE-UA method as global optimization methods were applied to compare the each optimization technique and to analyze the application for the rainfall-runoff models. Modified TANK model that is used to calculate outflow for watershed management and reservoir operation etc. was optimized as a long term rainfall-runoff model. And storage-function model that is used to predict real-time flood using historical data was optimized as a short term rainfall-runoff model. The optimized models were applied to simulate runoff on Pyeongchang-river watershed and Bocheong-stream watershed in 2001 and 2002. In the historical data study, the Genetic Algorithm and the SCE-UA method showed consistently good results considering statistical values compared with observed data.

PRMS의 HRU크기에 따른 장기유출특성 (Long-term runoff characteristics on HRU variations of PRMS)

  • 김남원;김현준;박선호
    • 한국수자원학회논문집
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    • 제38권2호
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    • pp.167-177
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    • 2005
  • 본 연구는 미국 지질조사국에서 개발된 장기유출모형인 PRMS 모형을 금강유역 내 용담댐유역에 적용함으로써 PRMS 모형의 공간적인 특성과 유출 모의에 대한 효율성을 검토하였다. 공간적인 유출특성을 구체화하기 위하여 소유역구분과 HRU수의 증감에 따른 유출의 변화를 고찰하였다. 그 결과 소유역 구분에 따라, HRU증감에 따라 유역말단부에서 유량의 변화는 실제로 크게 변화하지 않는 것으로 나타났으며, 따라서 PRMS 모형은 준 분포형적인 성질보다는 오히려 집중형의 성질을 갖는 모형임을 알 수 있었다. 반면, 용담댐유역의 지형입력자료를 USGS의 입력 자료형식으로 변환하고 소유역과 HRU를 고정한 후 최적화 과정을 통하여 유역특성의 매개변수를 설정하였고 이를 실측치와 비교하여 국내 유역의 PRMS 모형의 적용성을 검증하였다. 그 결과 실측자료의 정확성이 제고될 경우, PRMS 모형은 장기 유출특성을 잘 모사하는 모형으로 적용이 가능할 것으로 나타났다.

SWAT 모형을 이용한 시.공간적 토지 이용변화에 따른 유량 및 유사량 특성분석 (Analysis of Watershed Runoff and Sediment Characteristics due to Spatio-Temporal Change in Land Uses Using SWAT Model)

  • 신용철;임경재;김기성;최중대
    • 한국관개배수논문집
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    • 제14권1호
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    • pp.50-56
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    • 2007
  • In this study, the Soil and Water Assessment Tool (SWAT) model was used to assess spatiotemporal effects on watershed runoff and sediment characteristics due to land uses changes from 1999 to 2002 at the small watershed, located in Chuncheon-si, Gangwon province. The annual average flow rate of Scenario I (long-term simulation using land use of 1990), II (long-term simulation using land use of 1996), III(long-term simulation using land use of 200) and IV(simulation using land use of 1990, 1995, and 2000) in long-term simulation) using the SWAT model were 29,997,043 m3, 29,992,628 m3, 29,811,191 m3 and 29,931,238 m3, respectively. It was shown that there was no significant changes in estimated flow rate because no significant changes in land uses between 1990 and 2000 were observed. The annual average sediment loads of Scenarios I, II, III and IV for 15 year period were 36,643 kg/ha, 45,340 kg/ha , 27,195 kg/ha and 35,545 kg/ha, respectively. The estimated annual sediment loads from Scenarios I, II, and III, were different from that from the scenario IV, considering spatio-temporal changes in land use and meterological changes over the years, by 10%, 127%, and temporal changes in land use and meterological changes over the years, by 10%, 127%, and 77%. This can be explained in land use changes in high soil erosion potential areas, such as upland areas, within the study watershed. The comparison indicates that changes in land uses upland areas, within the study watershed. The comparison indicates that changes in land uses can affect on sediment yields by more than 10%, which could exceed the safety factor of 10% in Total Maximum Daily Loads (TMDLs). It is, therefore, recommended that not only the temporal analysis with the weather input data but also spatial one with different land uses need to be considered in long-term hydrology and sediment simulating using the SWAT model

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선행토양함수조건(AMC)을 고려한 L-THIA WWW 직접유출 모의 정확성 평가 (Evaluation of L-THIA WWW Dimet Runoff Estimation with AMC Adjustment)

  • 김종건;박윤식;전지홍;;안재훈;박영곤;김기성;최중대;임경재
    • 한국물환경학회지
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    • 제23권4호
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    • pp.474-481
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    • 2007
  • With population growth, industrialization, and urbanization within the watershed, the hydrologic response changed dramatically, resulting in increases in peak flow with lesser time to peak and total runoff with shortened time of concentration. Infiltration is directly affected by initial soil moisture condition, which is a key element to determine runoff. Influence of the initial soil moisture condition on hydrograph analysis should be evaluated to assess land use change impacts on runoff and non-point source pollution characteristics. The Long-Term Hydrologic Impact Assessment (L-THIA) model has been widely used for the estimation of the direct runoff worldwide. The L-THIA model was applied to the Little Eagle Creek (LEC) watershed and Its estimated direct runoff values were compared with the BFLOW filtered direct runoff values by other researchers. The $R^2$ value Was 0.68 and the Nash-Sutcliffe coefficient value was 0.64. Also, the L-THIA estimates were compared with those separated using optimized $BFI_{max}$ value for the Eckhardt filter. The $R^2$ value and the Nash-Sutcliffe coefficient value were 0.66 and 0.63, respectively. Although these higher statistics could indicate that the L-THIA model is good in estimating the direct runoff reasonably well, the Antecedent Moisture Condition (AMC) was not adjusted in that study, which might be responsible for mismatches in peak flow between the L-THIA estimated and the measured peak values. In this study, the L-THIA model was run with AMC adjustment for direct runoff estimation. The $R^2$ value was 0.80 and the Nash-Sutcliffe coefficient value was 0.78 for the comparison of L-THIA simulated direct runoff with the filtered direct runoff. However there was 42.44% differences in the L-THIA estimated direct runoff and filtered direct runoff. This can be explained in that about 80% of the simulation period is classified as 'AMC I' condition, which caused lower CN values and lower direct runoff estimation. Thus, the coefficients of the equation to adjust CN II to CN I and CN III depending on AMC condition were modified to minimize adjustments impacts on runoff estimation. The $R^2$ and the Nash-Sutcliffe coefficient values increase, 0.80 and 0.80 respectively. The difference in the estimated and filtered direct runoff decreased from 42.44% to 7.99%. The results obtained in this study indicate the AMC needs to be considered for accurate direct runoff estimation using the L-THIA model. Also, more researches are needed for realistic adjustment of the AMC in the L-THIA model.

지리정보시스템을 이용한 장기유출모형의 개발(III) -자료의 구축 및 모형의 적용- (Development of a Cell-based Long-term Hydrologic Model Using Geographic Information System(III) - Data Construction and Model Application -)

  • 정하우;최진용;김대식
    • 한국농공학회지
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    • 제39권3호
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    • pp.52-63
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    • 1997
  • A CELTHYM(CEll-based Long-Term HYdrologic Model), a pre-processor and a post processor that can be integrated with geographic information system ( GIS) were developed to predict the stream flow of the small watershed. The CELTHYM was calibrated and verified with measured runoff data at the WS # 1 and WS # 3 that are testing water sheds of Seoul Nat' 1 Univ., dept. of agricultural engineering, in Ansan city, Kyunggi province, South Korea. The results of tests are in good agreement with measured data and usable for other application, but the component of direct runoff and water balance on paddy fields need more study.

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직접유출량 모의를 위한 ArcGIS 기반의 모형 개발 및 개선 (Improvement and Application of the ArcGIS-based Model to Estimate Direct Runoff)

  • 김종건;임경재;;차상선;박찬기;박윤식
    • 한국농공학회논문집
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    • 제60권6호
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    • pp.65-71
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    • 2018
  • The Long-Term Hydrologic Impact Assessment (L-THIA) model is a quick and straightforward analysis tool to estimate direct runoff and nonpoint source pollution. L-THIA was originally implemented as a spreadsheet application. GIS-based versions of L-THIA have been developed in ArcView 3 and upgraded to ArcGIS 9. However, a major upgrade was required for L-THIA to operate in the current version of ArcGIS and to provide more options in runoff and NPS estimation. An updated L-THIA interfaced with ArcGIS 10.0 and 10.1 has been developed in the study as an ArcGIS Desktop Tool. The model provides a user-friendly interface, easy access to the model parameters, and an automated watershed delineation process. The model allows use of precipitation data from multiple gauge locations for the watershed when a watershed is large enough to have more than one precipitation gauge station. The model estimated annual direct runoff well for our study area compared to separated direct runoff in the calibration and validation periods of ten and nine years. The ArcL-THIA, with a user-friendly interface and enhanced functions, is expected to be a decision support model requiring less effort for GIS processes or to be a useful educational hydrology model.