• Title/Summary/Keyword: Antecedent Rainfall

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Combining Four Elements of Precipitation Loss in a Watershed (유역내 네가지 강수손실 성분들의 합성)

  • Yoo, Ju-Hwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.200-204
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    • 2012
  • In engineering hydrology, an estimation of precipitation loss is one of the most important issues for successful modeling to forecast flooding or evaluate water resources for both surface and subsurface flows in a watershed. An accurate estimation of precipitation loss is required for successful implementation of rainfall-runoff models. Precipitation loss or hydrological abstraction may be defined as the portion of the precipitation that does not contribute to the direct runoff. It may consist of several loss elements or abstractions of precipitation such as infiltration, depression storage, evaporation or evapotranspiration, and interception. A composite loss rate model that combines four loss rates over time is derived as a lumped form of a continuous time function for a storm event. The composite loss rate model developed is an exponential model similar to Horton's infiltration model, but its parameters have different meanings. In this model, the initial loss rate is related to antecedent precipitation amounts prior to a storm event, and the decay factor of the loss rate is a composite decay of four losses.

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Evaluation for Non-Point Sources Reduction Effect by Vegetated Ridge and Silt Fence (식생밭두렁과 실트펜스를 이용한 밭 비점오염 저감효과 평가)

  • Kim, Dong-Hyeon;Kim, Sang-Min
    • Journal of The Korean Society of Agricultural Engineers
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    • v.57 no.5
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    • pp.129-137
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    • 2015
  • The objective of this study was to test the non-point source pollution (NPS) control by the vegetated ridge and silt fence through field monitoring. The experiment plots were established with three sizes which are 5 m width by 22 m length with 8 %, 3 % slope and 15m width by 15 m length with 6 % slope. Flumes with the floating type stage gages were installed at the outlet of each plot to monitor the runoff. For a rainfall monitoring, tipping bucket rain gage was installed within the experiment site. Water quality samples were monitored during the heavy rainfall occurred. The amount of rainfall from 4 monitored events ranged from 27.6 mm to 130 mm. The runoff reduction rate could vary depending on slope, soil, crop growth condition, rainfall amount, rainfall intensity, antecedent moisture condition, and many other factors. The runoff from vegetated ridge and silt fence treatment plots was 24.05 % and -8.28 % lower than that from control plot, respectively. The monitoring results showed that the average pollution loads reduced by vegetated ridge compared to control were BOD 36.62~53.60 %, SS 40.41~73.71 %, COD 39.34~56.41 %, DOC 49.08~53.67 %, TN 26.74~67.23 %, and TP 52.72~91.80 %; by silt fence compared to control were SS 41.73 %, COD 1.93 %, and TN 2.38 %. The paired t-test result indicated that the vegetated ridge and silt fence were statistically significant effect in SS load reduction, with a 5 % significant level. Monitored results indicated that vegetated ridge and silt fence were both effective to reduce the pollutant from the field surface runoff.

Reduction Efficiency of the Stormwater Wetland from Animal Feeding-Lot (강우유출수 처리목적 인공습지의 강우시 오염물질 저감특성에 관한 연구)

  • Park, Kisoo;Niu, Siping;Kim, Youngchul
    • Journal of Wetlands Research
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    • v.15 no.1
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    • pp.79-90
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    • 2013
  • Stormwater wetland targeted to treat the rainfall runoff from cow feeding-lot basin has been monitored from May 2010 to November 2011. Reduction efficiency estimated based on 20 rainfall event monitoring was 88%, 54%, 70%, 31%, and 64% for TSS, BOD, $COD_{Cr}$, TN, and TP, respectively. Theoretically, as rainfall depth increases, hydraulic exchange ratio has to be increased. When the exchange ratio approaches to 1 (usually design goal), TSS reduction efficiency was estimated about 55%. Uncertainty in reduction efficiency of the stormwater wetland is normally very high due to the continuous rainfall activity, its magnitude and intensity, antecedent dry days, and other natural variables which can not be controlled by experiment conductors. In this study, predominant affecting variables was found to be hydraulics caused by consecutive rainfall events having different intensity and algal growth during dry days.

HYDROLOGIC IMPACT ASSESSMENT OF LAND COVER CHANGES BY 2002 TYPHOON RUSA USING LANDSAT IMAGES AND STORM RUNOFF MODEL

  • Lee, Mi-Seon;Park, Geun-Ae;Kim, Seong-Joon
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.539-542
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    • 2006
  • To investigate the streamflow impact of land cover changes by a typhoon, WMS HEC-1 storm runoff model was applied by using land cover information before and after the typhoon. The model was calibrated with three storm events of 1985 to 1988 based on 1985 land cover condition for a 192.7 $km^2$ watershed in northeast coast of South Korea. After the model was tested, it was run to estimate impacts of land cover change by the typhoon RUSA occurred in 2002 (31 August - 1 September) with 897.5 mm rainfall. The land covers before and after the typhoon were prepared using Landsat 7 ETM+ of September 11 of 2000 and Landsat 5 TM of September 29 of 2002 respectively. For the 6.9 $km^2$ damaged area (3.6 % of the watershed), the peak runoff and total runoff by the changed land cover condition increased 12.5 % and 12.7 % for 50 years rainfall frequency and 1.4 % and 1.8 % for 500 years rainfall frequency respectively based on AMC (Antecedent Moisture Condition)-I condition.

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The Analysis for Flood Damage on Nam-sa Down Stream Region (남사천 하류지역 홍수피해 분석)

  • 김가현;이영대;서진호;민일규
    • Journal of Environmental Science International
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    • v.10 no.3
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    • pp.217-223
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    • 2001
  • Where no records are available at a site, a preliminary estimate may be made from relations between floods and catchment chatacteristics. A number of these chatacteristics were chosen for testing and were measured for those catchments where mean annual flood estimates were available. Although the improvement using extended data in regression of flood estimates on catchment characteristics was small, this may be due to the limitations of the regression model. When an individual short term record is to be extended, more detailed attention can be given; an example is presented of the technique which should be adopted in practice, particularly when a short term record covers a period which is known to be biassed. A method of extending the peaks over a threshold series is presented with a numerical example. The extension of records directly from rainfall by means of a conceptual model is discussed, although the application of such methods is likely to be limited by lack of recording raingauge information. Methods of combining information from various sources are discussed in terms of information from catchment characteristics supplemented by records. but are generally applicable to different sources of information. The application of this technique to estimating the probable maximum flood requires more conservative assumptions about the antecedent condition, storm profile and unit hydrograph. It is suggested that the profile and catchment wetness index at the start of the design duration should be based on the assumption that the estimated maximum rainfall occurs in all durations centered on the storm peak.

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Hydrologic Impact Assessment of land Cover Changes by 2002 Typhoon RUSA Using Landsat Images and Storm Runoff Model

  • Lee, Mi-Seon;Park, Geun-Ae;Kim, Seong-Joon
    • Korean Journal of Remote Sensing
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    • v.22 no.5
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    • pp.407-413
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    • 2006
  • To investigate the streamflow impact of land cover changes by a typhoon, HEC-l storm runoff model was applied by using land cover information before and after the typhoon. The model was calibrated with three storm events of 1985 to 1988 based on 1985 land cover condition for a $192.7km^{2}$ watershed in northeast coast of South Korea. After the model was tested, it was run to estimate impacts of land cover change by the typhoon RUSA occurred in 2002 (31 August-1 September) with 897.5 mm rainfall. The land covers before and after the typhoon were prepared using Landsat 7 ETM+ of September 11 of 2000 and Landsat 5 TM of September 29 of 2002 respectively. For the $6.9km^{2}$ damaged area (3.6 % of the watershed), the peak runoff and total runoff by the changed land cover condition increased 12.5 % and 12.7 % for 50 years rainfall frequency and 1.4 % and 1.8 % for 500 years rainfall frequency respectively based on AMC (Antecedent Moisture Condition)-I condition.

Derivation of Transfer Function Models in each Antecedent Precipitation Index for Real-time Streamflow Forecasting (실시간 유출예측을 위한 선행강우지수별 TF모형의 유도)

  • Nahm, Sun Woo;Park, Sang Woo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.12 no.1
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    • pp.115-122
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    • 1992
  • Stochastic rainfall-runoff process model which is mainly used in real-time streamflow forecasting is Transfer Function(TF) model that has a simple structure and can be easy to formulate state-space model. However, in order to forecast the streamflow accurately in real-time using the TF model, it is not only necessary to determine accurate structure of the model but also required to reduce forecasting error in early stage. In this study, after introducing 5-day Antecedent Precipitation Index (API5), which represents the initial soil moisture condition of the watershed, by using the threshold concept, the TF models in each API5 are identified by Box-Jenkins method and the results are compared with each other.

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Stormwater Runoff Characteristics of Non-point Source Pollutants according to Landuse of Urban Area (도시지역 토지이용에 따른 비점원 오염물질 유출특성)

  • Jeong, Dong-Hwan;Shin, Dongseok;Rhew, Doughee;Jung, Dongil
    • Journal of Environmental Impact Assessment
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    • v.16 no.6
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    • pp.525-532
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    • 2007
  • In order to establish and implement the total maximum daily load (TMDL) management plan in Korea, it is necessary to set the source units and calculate discharge loads for non-point source pollutants such as BOD, COD, SS, TN and TP. This study analysed the corelation between stormwater runoff characteristics and event mean concentrations (EMCs) of non-point source pollutants. As the result of the corelation analysis, we knew that all the antecedent dry days (ADD) and the rainfall correlated lowly with non-point source pollutants in the urban areas such as resident area, industrial area, business area, road area and parking area. Therefore, it is necessary to get all samples from stormwater starting point to stormwater ending point and standardize the sampling method of stormwater in order to obtain more accurate EMCs for landuse.

Determination of Suitable Antecedent Rainfall Days for Curve Number Estimation (CN값 산정을 위한 적정 선행강우일수의 결정)

  • Lee Myoung Woo;Choi Seoung An;Kim Hung Soo;Shim Myung Pil
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.553-557
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    • 2005
  • 유역의 강우-유출 분석에서 유효우량의 산정은 매우 중요하다고 할 수 있다. 이러한 유효우량의 산정에서 대상호우에 대한 유출량 자료가 있는 경우는 침투지수법(infiltration index method)중 하나인 $\Phi$-지표법이나 W-지표법을 사용하여 그 양을 산정할 수 있다. 그러나 대상호우에 대한 유출량 자료가 없는 경우는 침투지수법을 이용하여 유효우량을 산정 할 수 없으며, 이러한 경우 유역의 토양 특성과 식생피복 상태에 대한 자료만으로 총우량으로부터 유효우량을 산정할 수 있는 NRCS(Natural Resources Conservation Service)의 유효우량 산정방법이 널리 사용되고 있다. NRCS유효우량 산정 방법은 선행토양함수조건(antecedent moisture condition, AMC)을 이 용하여 유출곡선지수(runoff curve number, CN)를 결정하는데, 이때 AMC의 산정을 위해 선행5일강우량(total 5-day antecedent rainfall)을 그 기준으로 하고 있으나, 이는 미국의 유역을 대상으로 하여 얻어진 결과이므로 이를 국내 유역에 검증 없이 적용하는 데에는 문제가 있을 것으로 예상되었다. 따라서 본 연구에서는 HEC-HMS모형을 이용하여 선행강우일수을 변화시켜 가면서 실제 유역의 강우-유출에 적용하여 본 뒤 강우-유출을 가장 잘 모의하는 선행강우일수을 결정하였다. 이를 위해, IHP 대상유역인 보청천의 탄부소유역에 대하여 AMC의 산정을 위한 선행강우량을 1일부터 7일까지 변화시키며 적용한 결과 탄부소유역에서는 선행2일강우량이 가장 적합한 결과를 주는 것으로 나타났다. 국내 유역에서 NRCS유효유량 산정방법을 통한 강우-유출모의시 보다 정확한 값을 산정하기 위해서는 대상유역에 적합한 선행 강우일수의 결정이 중요하리라 판단된다.인 분석을 수행하고, 배수갑문 개방에 의한 수질개선효과를 최대화하기 위한 환경관리 방안 제시에 중점을 두어 수행하였다.ncy), 환경성(environmental feasibility) 등을 정성적으로(qualitatively) 파악하여 실현가능한 대안을 선정하였다. 이렇게 선정된 대안들은 중유역별로 검토하여 효과가 있을 것으로 판단되는 대안들을 제시하는 예비타당성(Prefeasibility) 계획을 수립하였다. 이렇게 제시된 계획은 향후 과학적인 분석(세부평가방법)을 통해 대안을 평가하고 구체적인 타당성(feasibility) 계획을 수립하는데 토대가 될 것이다.{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.천성 승모판 폐쇄 부전등을 초래하는 심각한 선천성 심질환이다. 그러나 진단 즉시 직접 좌관상동맥-대동맥 이식술로 수술적 교정을 해줌으로써 좋은 성적을 기대할 수 있음을 보여주었다.특히 교사들이 중요하게 인식하는 해방적 행동에 대한 목표를 강조하여 적용할 필요가 있음을 시사하고

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A study of applying soil moisture for improving false alarm rates in monitoring landslides (산사태 모니터링 오탐지율 개선을 위한 토양수분자료 활용에 관한 연구)

  • Oh, Seungcheol;Jeong, Jaehwan;Choi, Minha;Yoon, Hongsik
    • Journal of Korea Water Resources Association
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    • v.54 no.12
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    • pp.1205-1214
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    • 2021
  • Precipitation is one of a major causes of landslides by rising of pore water pressure, which leads to fluctuations of soil strength and stress. For this reason, precipitation is the most frequently used to determine the landslide thresholds. However, using only precipitation has limitations in predicting and estimating slope stability quantitatively for reducing false alarm events. On the other hand, Soil Moisture (SM) has been used for calculating slope stability in many studies since it is directly related to pore water pressure than precipitation. Therefore, this study attempted to evaluate the appropriateness of applying soil moisture in determining the landslide threshold. First, the reactivity of soil saturation level to precipitation was identified through time-series analysis. The precipitation threshold was calculated using daily precipitation (Pdaily) and the Antecedent Precipitation Index (API), and the hydrological threshold was calculated using daily precipitation and soil saturation level. Using a contingency table, these two thresholds were assessed qualitatively. In results, compared to Pdaily only threshold, Goesan showed an improvement of 75% (Pdaily + API) and 42% (Pdaily + SM) and Changsu showed an improvement of 33% (Pdaily + API) and 44% (Pdaily + SM), respectively. Both API and SM effectively enhanced the Critical Success Index (CSI) and reduced the False Alarm Rate (FAR). In the future, studies such as calculating rainfall intensity required to cause/trigger landslides through soil saturation level or estimating rainfall resistance according to the soil saturation level are expected to contribute to improving landslide prediction accuracy.