• Title/Summary/Keyword: 강우계급

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Rainfall Classification from a Dogye Coal Mining Area (도계 석탄광산 지역의 강우계급특성)

  • Seo, Ji-Yeon;Choi, Yong-Hun;Shin, Hyun-Jun;Won, Chul-Hee;Choi, Joong-Dae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.1211-1215
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    • 2010
  • 국내의 석탄자원은 1989년부터 비경제 탄광은 폐광시키고 경제성 있는 탄광을 육성하는 석탄산업 합리화시책을 실시하여, 전국 343개의 탄광이 폐광되어 현재는 5개의 탄광만이 가행되고 있다. 이들 가행광산중 강원도 삼척시 도계읍에 위치한 채탄작업을 위한 갱구 입구의 작업지역(DCM, Dogye coal mine)을 선정하여 강우 유출수 모니터링을 시행하였다. DCM지역의 수문분석 결과 연강우량의 83%는 일 강우 80 mm 이하에서 발생하였다. 또한 연강우량의 50% 이상이 40 mm 이하의 강우계급에서 발생하고 있는 것으로 나타났다. 연간 강우횟수는 약 90회 정도 발생하고 있으며, 평균적으로 4일에 1회의 강우가 발생하였다. 또한 100 mm 이상의 강우도 연평균 강수량의 13.78%를 차지하고 있어 집중호우가 총 강우량에 미치는 영향이 작지 않음을 나타냈다. 비점오염의 배출은 강우량에 의해 영향을 많이 받기 때문에 기상이변으로 게릴라성 집중호우가 많이 발생하는 요즘 큰 강우사상에 대하여 많은 대비를 해야 할 것으로 판단되었다.

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Determination of EMCs for Rainfall Ranges from Transportation Landuses (교통관련 토지이용에서의 강우계급별 EMC 산정)

  • Lee, So-Young;Maniquiz, Marla C.;Choi, Ji-Yeon;Kim, Lee-Hyung
    • Journal of Wetlands Research
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    • v.11 no.2
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    • pp.67-76
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    • 2009
  • The contribution of pollutant loadings from non-point source (NPS) to the four major rivers in Korea exceeded 22~37 % of the total loadings in 2004 and is expected to reach 60 % in 2020. Most of NPS loadings are coming from urban areas, especially from paved areas. Because of high imperviousness rate, many types of NPS pollutant are accumulating on the surface during dry periods. The accumulated pollutants are wash-off during a storm and highly degrading the water quality of receiving water bodies. For this reason, the Korean Ministry of Environment (MOE) developed the Total Maximum Daily Load (TMDL) program to protect the water quality by managing the point source and NPS loadings. NPS has high uncertainties during a storm because of the characteristics of rainfall and watershed areas. The rainfall characteristics can affect on event mean concentrations (EMCs), mass loadings, flow rate, etc. Therefore, this research was performed to determine EMCs for rainfall ranges from transportation landuses such as road and parking lot. Two sites were monitored over 45 storm events during the 2006/06 through 2008/10 storm seasons. Mean TSS EMCs decrease as rainfall ranges increase and highest at less than 10mm rainfall. The results of this study can be used to determine the efficient scale of BMP facility considering specific rainfall range.

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Runoff Characteristics of Non-point Source Pollutants from Road Area During Rainfall Events (강우시 도로지역 비점오염물질 유출특성)

  • Park, Woon Ji;Lee, Su In;Lee, Hae Seung;Lee, Young Joon;Choi, Joong Dae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.403-403
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    • 2015
  • 본 연구에서는 강우시 도로지역에서 발생하는 비점오염물질 유출 및 수질특성을 살펴보고자 도로지역(국도 46호선)을 대상으로 총 16회의 강우사상에 대해 분석하였다. 모니터링 기간(2014년 5월~9월)동안 연구대상지역에는 3.2~80.3 mm의 강우가 발생하였으며, 강우강도는 0.39~11.29 mm/hr의 범위로 나타났다. 선행무강우일수는 0.3~20.1일이며, 총 유출량은 0.1~6.8 ㎥, 유출율은 0.24~0.85(평균 0.6)의 범위로 나타났다. 강우 모니터링 결과, 유량가중평균농도(Event Mean Concentration, EMC)는 TOC 4.9~56.2 mg/L(평균 18.0 mg/L), BOD 3.1~21.5 mg/L(평균 7.5 mg/L), COD 6.7~58.6 mg/L(평균 23.6 mg/L), SS 2.1~281.9 mg/L(평균 59.4 mg/L), T-N 1.07~13.46 mg/L(평균 4.89 mg/L) 그리고 T-P 0.065~0.680 mg/L(평균 0.23 mg/L)의 범위로 나타났으며, 강우계급별로 살펴보면 0~10 mm일 때 BOD 9.3 mg/L, COD 30.5 mg/L, SS 84.1 mg/L, T-N 5.42 mg/L, T-P 0.27 mg/L로, 10~30 mm일 때 BOD 6.6 mg/L, COD 22.0 mg/L, SS 29.0 mg/L, T-N 4.9 mg/L, T-P 0.20 mg/L로, 50 mm 이상의 강우에서는 BOD 3.6 mg/L, COD 7.1 mg/L, SS 46.4 mg/L, T-N 3.42 mg/L, T-P 0.10 mg/L로 강우계급별 EMC는 대부분 수질항목에 있어 10 mm 이하 계급의 평균 EMC가 높은 수준으로 나타났다. 그리고 각 강우사상에 대한 단위면적당 오염부하는 TOC 0.06~3.5 kg/ha, $BOD_5$ 0.03~1.6 kg/ha, CODMn 0.09~4.74 kg/ha, SS 0.09~35.99 kg/ha, T-N 0.012~2.600 kg/ha, T-P 0.001~0.062 kg/ha의 범위로 산정되었다. 도로지역은 불투수층 면적비율이 높아 누적강우량 10 mm 이하에서도 유출이 발생하는 것으로 분석되었으며, 작은 강우에도 초기유출이 발생하고 유출되는 오염물질 농도가 높은 경향을 나타내었다.

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Evaluation of the Volume and Pollutant Reduction in an Infiltration and Filtration Facility with Varying Rainfall Conditions (침투여과시설의 강우계급에 따른 유량 및 비점오염물질 저감 효과 분석)

  • Yu, Gigyung;Choi, Jiyeon;Kang, Hee-Man;Kim, Lee-Hyung
    • Journal of Korean Society on Water Environment
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    • v.32 no.1
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    • pp.30-35
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    • 2016
  • Urban areas generate large amounts of stormwater and non-point source (NPS) pollutants during rainfall events. These are caused by various land use runoffs, vehicular and human activities and increased impervious cover. The increased runoff and NPS pollutants cause water quality deterioration in the receiving waters and adversely affect the aqua-ecosystem. These environmental impacts could be reduced through the application of low impact development (LID) techniques. In Korea, more than 80% of the total rainfall occurs in summer and most of these were 10 mm or less. Therefore, if the LIDs developed were able to cope with rainfall of 10 mm and below, NPS management could be efficiently conducted. This research was performed to determine the effect of varying amounts of rainfall on the performance capability of an established infiltration and filtration facility (IF facility) that can be applied to Korea's common rainfall ranges. The IF facility area was 1.75% of the catchment area, however the facility treated more than 40% and 60% runoff volume and pollutant reduction respectively for a 10 mm rainfall. Lastly, higher volume and pollutant reduction could be attained when the LID area was at least 2% of the entire catchment.

A study on estimation of the unit of nonpoint source pollution from the industrial site (공업지역의 비점오염원 원단위산정에 관한 연구)

  • Shon, Tae-Suk;Jang, Jong-Kyoung;Lee, Sang-Do;Ju, Dong-Jin;Shin, Hyun-Suk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.947-951
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    • 2010
  • 본 연구는 강우시 A 공업단지와 B 농공단지의 공업지역에서 통계적인 오염물질 농도와 오염물질 특성을 찾아내기 위하여 모니터링 및 분석을 수행하였으며, 강우유출수 조사방법에 따른 원단위 산정을 위하여 유량가중평균농도(EMC)산정, 강우계급별 유량가중평균농도를 산정하였으며, 공업지역의 대표 유량가중평균농도(EMCz) 산정, 유출율을 산정하였으며, 앞에 산정한 자료를 이용하여 선정한 공업지역 원단위를 산정하여 기존 원단위 값과 비교분석 하였다. 이렇게 산출된 자료는 공업지역 비점오염원 최적관리를 위한 과학적 근거자료 제공 및 기초자료서의 활용, 모니터링을 통한 공업지역의 비점오염원의 관리대책 및 낙동강 수질개선을 위한 정책자료에 관한 기초자료 제공, 국내 실정에 부합하는 최적 비점오염원 저감시설의 설치를 위한 기초자료로 활용될 수 있을 것이다.

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Development of L-THIA sub-daily flow-water quality prediction system (L-THIA 시단위 유량-수질 예측 시스템 개발)

  • Gwanjae Lee;Yonghun Choi;Seoro Lee;Kyoung Jae Lim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.262-262
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    • 2023
  • 기후변화 및 도시화에 따른 강우 패턴의 변화는 수문 변화를 야기시키며, 이에 따른 영향을 평가하고 예측하기 위해서는 수문학적 모델을 통해 정량화하는 과정이 필요하다. 그러나 기존에 개발되어 사용되고 있는 대부분의 수문학적 모델은 해외에서 개발되어 국내 유역 특성을 반영하지 못하는 한계가 있다. 이러한 한계점을 극복하기 위해서 L-THIA ACN-WQ 2016과 2018 모델이 개발되어 적용성이 평가된 바 있다. 하지만 L-THIA ACN-WQ 모델의 경우 시단위 유량 및 수질 모의가 불가능한 한계점이 있다. 소규모 유역이나 도시화된 지역에서는 하루에 여러 번의 강우 이벤트가 발생하거나 단기간에 많은 양의 강우가 발생하는 경우가 많기 때문에, 이러한 강우-유출을 평가하기 위해서는 시단위 모의가 필요하다. 본 연구에서는 시단위 유량-수질 모의가 가능한 L-THIA sub-daily WQ 모델을 개발하였으며, 갑천 유역과 복하천 유역에서 적용성을 평가하였다. L-THIA sub-daily WQ 모델은 SCS-CN 방법과 Green-Ampt 방법을 함께 고려할 수 있도록 개발하였으며, 국내의 토지이용 및 강우 특성을 고려할 수 있도록 점근 CN과 강우 계급별 EMC를 활용하였다. 갑천 유역과 복하천 유역에서 시단위 유량 예측 결과 R2는 0.61~0.69, NSE는 0.61~0.65, PBIAS는 -4.0~-7.3으로 모의된 시단위 유량이 자연현상을 잘 모의하는 것으로 나타났으며, 수질 예측 결과 T-P와 SS가 자연현상을 잘 모의하는 것으로 나타났다. 따라서, 본 연구에서 개발된 L-THIA sub-daily WQ 모델은 점오염원을 포함하고 있는 도시유역에서 비점오염원에 평가에 활용될 수 있을 것으로 사료된다.

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A Study on the Analysis of Time-Regional Distribution of PRecipitation Frequency and Rainfall INternsity in Korea. (강수빈도 및 강우강도의 시공적 분포분석에 관한 연구)

  • 이재준;손광익
    • Water for future
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    • v.14 no.4
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    • pp.53-72
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    • 1981
  • In this study, South Korea is divided into 5 zones and is studied about the analysis of time-regional distribution of previpitation frequency and rainfall intensity in Korea. In the previpitation frequency analysis, the basic data groups of 39 stations were selected. The diagram of previpitation frequency was drawn, and the time-regional distribution of precipitation frequency was analized. In the rainfall intensity analysis, the basic data groups of 36 stations were selected. The probable rainfall, I-D-F curve, and regression equation between 24hr. and 10min.-18hr. areal depth were obtained. The results of this study are following; 1) The precipitation class of max. recurrence probability in every season except summer was commonly (1) 1-5mm, (2) 0.1-1mm, (3) 5-10mm in order. 2) The zone of max. recurrence frequency owing to the precipitation class was zone II in precipitation frequency of below 20mm, zone IV in precipitation frequency of 30-40mm, zone I in precipitation frequency of above 70mm for a year. 3) The recurrence probability of precipitation in Korea can be represented to the equation of exponential function; $$W(x)=e^{\alpha+\beta}$$ 4) The first and third zones were expected heavy rain for the short and long duration. 5) The I.D.F. curves were drawn, and established that the time interval for the least deviation of I.D.F curve is 10~40min., 40min. -4hr., 4~24hr. 6) The regression equations of areal mean depth between 24hr. and 10min.-18hr. for each zone were obtained. 7)The probable rainfall of 36 points were calculated.

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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.

Loading Characteristics of Non-Point Source Pollutants by Rainfall - Case Study with Sweet Potato Plot - (강우시 비점오염원의 오염부하 특성 - 고구마 재배지를 대상으로 -)

  • Kang, Mee-A;Jo, Soo-Hyun;Choi, Byoung-Woo;Yoon, Young-Sam;Lee, Jae-Kwan
    • The Journal of Engineering Geology
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    • v.19 no.3
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    • pp.365-371
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    • 2009
  • This paper address the characteristics of loading pollutants caused by the unit agricultural area to establish an efficient management method in NPS (non-point source). The relationship between rainfall and runoff shows good coefficient with 0.92, when the event which shows relatively long antecedent dry days is excepted. The impact of runoff volume on the runoff coefficient can be described by the rainfall intensity strongly. The pollutant EMCs (event mean concentrations) in runoff increased by the increase of antecedent dry days due to dry soil conditions. As the similar pattern of pollutant's loads such as TSS, BOD, COD, TN and TP, it is cleared that other pollutants can be removed when TSS is removed. Therefore the system using only runoff coefficients is not sufficient for the prediction of pollutant loads. It is necessary to consider soil conditions such as rainfall, antecedent dry day, antecedent rainfall etc. for the prediction system.

Spatial Analysis for Mean Annual Precipitation Based On Neural Networks (신경망 기법을 이용한 연평균 강우량의 공간 해석)

  • Sin, Hyeon-Seok;Park, Mu-Jong
    • Journal of Korea Water Resources Association
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    • v.32 no.1
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    • pp.3-13
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    • 1999
  • In this study, an alternative spatial analysis method against conventional methods such as Thiessen method, Inverse Distance method, and Kriging method, named Spatial-Analysis Neural-Network (SANN) is presented. It is based on neural network modeling and provides a nonparametric mean estimator and also estimators of high order statistics such as standard deviation and skewness. In addition, it provides a decision-making tool including an estimator of posterior probability that a spatial variable at a given point will belong to various classes representing the severity of the problem of interest and a Bayesian classifier to define the boundaries of subregions belonging to the classes. In this paper, the SANN is implemented to be used for analyzing a mean annual precipitation filed and classifying the field into dry, normal, and wet subregions. For an example, the whole area of South Korea with 39 precipitation sites is applied. Then, several useful results related with the spatial variability of mean annual precipitation on South Korea were obtained such as interpolated field, standard deviation field, and probability maps. In addition, the whole South Korea was classified with dry, normal, and wet regions.

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