• 제목/요약/키워드: long rainfall

검색결과 558건 처리시간 0.022초

SWAT-SWMM 결합모형의 개발 (I) 모형의 개발 (Development of Coupled SWAT-SWMM Model (I) Model Development)

  • 김남원;원유승
    • 한국수자원학회논문집
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    • 제37권7호
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    • pp.589-598
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    • 2004
  • 장기적 유출 측면에서 유역의 도시화는 불투수면적의 확대로 인한 토지이용변화, 인위적 구조물의 설치여부, 하천 환경의 변화를 유발하며 따라서 도시화되기 이전과 매우 다른 형태의 유출거동 특성을 가진다. 따라서 자연적인 유출 성분변화 특성은 물론 도시화 유역 특성변화요소를 적절히 반영함으로써 지표수, 하천수, 지하수 등의 수문순환 요소를 장기적인 측면에서 정량적으로 평가할 수 있는 유출모의모형이 필요하다. 본 연구에서는 준 분포형 장기 유출모형인 SWAT모형과 도시지역의 유출해석에 주로 이용되는 SWMM 모형의 RUNOFF 블록을 결합함으로써 자연유역은 물론 도시유역의 제반 유역특성을 충분히 고려할 수 있는 장기유출모형인 SWAT-SWMM 모형을 개발하였다. SWAT-SWMM 결합모형의 구정방법 및 모형의 한계 그리고 결합모형의 모식을 중심으로 두 모형의 결합상황을 기술하였다.

마코프 연쇄를 이용한 서울지점 일강우의 발생특성 변화 연구 (A Study on the Change of Occurrence Characteristics of Daily Seoul Rainfall using Markov Chain)

  • 황석환;김중훈;유철상;정성원;주진걸
    • 한국수자원학회논문집
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    • 제42권9호
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    • pp.747-758
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    • 2009
  • 본 논문에서는 연속자료로서 세계 최장의 기록을 보유하고 있는 서울지점의 강우량 자료를 이용하여 강우 발생특성의 장기 변동성을 분석하였다. 우선 마코프 연쇄에 근거한 전이확률 및 발생특성을 분석하여 측우기 자료의 정확성을 강우의 발생확률적 측면에서 평가하였다. 그리고 2차원 LOWESS 회귀방법을 이용하여 전이확률의 월간 장기변화특성을 분석하였다. 전이확률 및 발생특성 분석결과 원자료 계열의 CWK와 MRG는 발생특성이 다르게 나타났다. 강우사상의 특성은 과거에 비해 강우사상의 발생빈도가 높아지고 있으며 각 강우사상의 지속기간은 짧아지고 있는 것으로 나타났다. 그리고 전이확률의 월간 장기 변화특성을 분석한 결과, M20을 기준으로 CWK와 MRG의 무강우지속기간은 크게 차이를 보이지 않고 있으며, 강우지속기간은 1830년대 이후 지속적으로 감소하는 경향을 보이고 있는 것으로 나타났다. 특히 최근 9월 강우지속기간의 감소 경향이 두드러지게 나타났다. 이러한 결과를 최근 강우량의 증가양상과 더불어 고려하면 강우사상의 빈도와 심도(강우강도)가 증가하는 추세라고 해석할 수 있다.

Spatial Interpolation of Rainfall by Areal Reduction Factor (ARF) Analysis for Hancheon Watershed

  • Kar, Kanak Kanti;Yang, Sung Kee;Lee, Junho
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2015년도 학술발표회
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    • pp.427-427
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    • 2015
  • The storm water management and drainage relation are the key variable that plays a vital role on hydrological design and risk analysis. These require knowledge about spatial variability over a specified area. Generally, design rainfall values are expressed from the fixed point rainfall, which is depth at a specific location. Concurrently, determine the areal rainfall amount is also very important. Therefore, a spatial rainfall interpolation (point rainfall converting to areal rainfall) can be solved by areal reduction factor (ARF) estimation. In mainland of South Korea, for dam design and its operation, public safety, other surface water projects concerned about ARF for extreme hydrological events. In spite of the long term average rainfall (2,061 mm) and increasing extreme rainfall events, ARF estimation is also essential for Jeju Island's water control structures. To meet up this purpose, five fixed rainfall stations of automatic weather stations (AWS) near the "Hancheon Stream Watershed" area has been considered and more than 50 years of high quality rainfall data have been analyzed for estimating design rainfall. The relationship approach for the 24 hour design storm is assessed based on ARF. Furthermore, this presentation will provide an outline of ARF standards that can be used to assist the decision makers and water resources engineers for other streams of Jeju Island.

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장기유출의 수문적 모형개발을 위한 주요 수계별 단위도 유도 (Determination of Unit Hydrograph for the Hydrological Modelling of Long-term Run-off in the Major River Systems in Korea)

  • 엄병현;박근수
    • 한국농공학회지
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    • 제26권4호
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    • pp.52-65
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    • 1984
  • In general precise estimation of hourly of daily distribution of the long-term run-off should be very important in a design of source of irrigation. However, there have not been a satisfying method for forecasting of stationar'y long-term run-off in Korea. Solving this problem, this study introduces unit-hydrograph method frequently used in short-term run-off analysis into the long-term run-off analysis, of which model basin was selected to be Sumgin-river catchment area. In the estimation of effective rainfall, conventional method neglects the Soil moisture condition of catchment area, but in this study, the initial discharge (qb) occurred just before rising phase of the hydrograph was selected as the index of a basin soil moisture condition and then introduced as 3rd variable in the analysis of the reationship between cumulative rainfall and cumulative loss of rainfall, which built a new type of separation method of effective rainfall. In next step, in order to normalize significant potential error included in hydrological data, especially in vast catchment area, Snyder's correlation method was applied. A key to solution in this study is multiple correlation method or multiple regressional analysis, which is primarily based on the method of least squres and which is solved by the form of systems of linear equations. And for verification of the change of characteristics of unit hydrograph according to the variation of a various kind of hydrological charateristics (for example, precipitation, tree cover, soil condition, etc),seasonal unit hydrograph models of dry season(autumn, winter), semi-dry season (spring), rainy season (summer) were made respectively. The results obtained in this study were summarized as follows; 1.During the test period of 1966-1971, effective rainfall was estimated for the total 114 run-off hydrograph. From this estimation results, relative error of estimation to the ovservation value was 6%, -which is mush smaller than 12% of the error of conventional method. 2.During the test period, daily distribution of long-term run-off discharge was estimated by the unit hydrograph model. From this estimation results, relative error of estimation by the application of standard unit hydrograph model was 12%. When estimating by each seasonal unit bydrograph model, the relative error was 14% during dry season 10% during semi-dry season and 7% during rainy season, which is much smaller than 37% of conventional method. Summing up the analysis results obtained above, it is convinced that qb-index method of this study for the estimation of effective rainfall be preciser than any other method developed before. Because even recently no method has been developed for the estimation of daily distribution of long-term run-off dicharge, therefore estimation value by unit hydrograph model was only compared with that due to kaziyama method which estimates monthly run-off discharge. However this method due to this study turns out to have high accuracy. If specially mentioned from the results of this study, there is no need to use each seasonal unit hydrograph model separately except the case of semi-dry season. The author hopes to analyze the latter case in future sudies.

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저류함수를 이용한 일단위 장기유출모의 모형 구축 (Long term Rainfall-Runoff Modeling Using Storage Function Method)

  • 성영두;정구열;신철균;박진혁
    • 한국수자원학회논문집
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    • 제41권7호
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    • pp.737-746
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    • 2008
  • 강우-유출 및 저수지운영 모형의 최종 개발 목적은 가용한 관측자료를 이용하여 실무자가 하천의 유량예측 및 저수지운영 업무를 쉽고 정확하게 수행할 수 있도록 분석도구를 제공하는데 있다. 본 연구에서는 물관리 실무에서 홍수량 예측업무에 활용중인 단기 강우-유출 저류함수 모형을 확장하여 장기유출에 모의에 기여도가 높은 유효우량 및 침투량 산정기법을 개선하여 장기 유출분석이 가능하도록 저류함수기반의 장기 유출모형을 구축하였다. 개발된 모형의 적용가능성을 검토하기 위하여 낙동강 유역내 3개 댐유역(안동,합천,밀양)을 대상으로 연간 유출모의를 실시 하였으며, 현재 물관리 실무에서 장기유출모형으로 활용중인 SSARR모형과의 성능을 비교하였다. 수문곡선 비교 결과, SSARR 모형이 상대적으로 재현성 높은 결과를 보여주었지만, 본 연구에서 개발한 모형은 관측 가용한 자료만으로도 비교적 신뢰성 있는 장기유출모의가 가능하다는 점에서 향후 실무에서 유용하게 활용할 수 있을 것으로 사료된다.

영산강의 장기유출량에 관한 고찰 (An Analysis on the Long-Term Runoff of the Yong San River)

  • 한상욱;정종수
    • 한국농공학회지
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    • 제18권3호
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    • pp.4184-4194
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    • 1976
  • Located in the southwestern part of Korea, the Yong San Gang river flows generally northeast to southwest, and because of the specific location, topography and climate, the basin area is subject to recurrent drought and flood damages. To eliminate the cause of such damages and ensure an increase in the farm income by means of effective irrigation supply and increased cropping intensity, efforts are being made to speed up implementation of an integrated agricultural development project which would include construction. of an estuary dam and irrigation facilities as well as land development and tidal reclarnation. In formulating a basin development project plan, it is necessary to study a series of long-term runoff data. The catchment area at the proposed estuary damsite is 3,471$\textrm{km}^2$ with the total length of the river channel up to this point reaching 138km. An analysis of runoff in this area was carried out. Rainfall was estimated by the Thiessen Network based on records available from 15 of the rainfall observation stations within the area. Out of the 15 stations, Kwang Ju and Mok Po stations were keeping long-term precipitation records exceeding some 60 years while the others were in possession of only 5-10 years records. The long-term records kept by those stations located in the center of the basin were used as base records and records kept by the remaining stations were supplemented using the coefficient of correlation between the records kept by the base stations and the remainder. The analyses indicate that the average annual rainfall measured at Kwang Ju during 1940-1972 (33 years) amounts to 1,262mm and the areal rainfall amounts to 1,236mm. For the purpose of runoff analysis, 7 observatories, were set up in the middle and lower reaches of the river and periodic measurements made by these stations permitted analysis of water levels and river flows. In particular, the long-term data available from Na Ju station significantly contributed to the analysis. The analysis, made by 4-stage Tank method, shows that the average annual runoff during 1940-1972 amounts to 2,189 million ㎥ at the runoff rate of 51%. As for the amount of monthly runoff, the maximum is 484.2 million ㎥ in July while the minimum is 48.3 million ㎥ in January.

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기상예보를 고려한 관개용 저수지의 최적 조작 모형(II) -모형의 구성- (Optimal Reservoir Operation Models for Paddy Rice Irrigation with Weather Forecasts (II) -Model Development-)

  • 김병진;박승우
    • 한국농공학회지
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    • 제36권2호
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    • pp.44-55
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    • 1994
  • This paper describes the development of real-time irrigation reservoir operation models that adequately allocate available water resources for paddy rice irrigation. Water requirement deficiency index(WRDI) was proposed as a guide to evaluate the operational performance of release schemes by comparing accumulated differences between daily release requirements for irrigated areas and actual release amounts. Seven reservoir release rules were developed, which are constant release rate method (CRR), mean storage curve method(MSC), frequency analysis method of reservoir storage rate(FAS), storage requirement curve method(SRC), constant optimal storage rate method (COS), ten-day optimal storage rate method(TOS), and release optimization method(ROM). Long-term forecasting reservoir operation model(LFROM) was formulated to find an optimal release scheme which minimizes WRDIs with long-term weather generation. Rainfall sequences, rainfall amount, and evaporation amount throughout the growing season were to be forecasted and the results used as an input for the model. And short-term forecasting reservoir operation model(SFROM) was developed to find an optimal release scheme which minimizes WRDIs with short-term weather forecasts. The model uses rainfall sequences forecasted by the weather service, and uses rainfall and evaporation amounts generated according to rainfall sequences.

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우리나라 강우 자료를 이용한 FORGEX 기법의 공간상관식 개발 (Development of spatial dependence formula of FORGEX method using rainfall data in Korea)

  • 김성훈;안현준;신홍준;허준행
    • 한국수자원학회논문집
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    • 제49권12호
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    • pp.1007-1014
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    • 2016
  • 영국에서는 지역구분이 필요없고 상대적으로 긴 재현기간에 대해서도 안정적인 확률강우량 추정이 가능한 FORGEX (Focused Rainfall Growth Extension) 기법을 개발하여 강우자료의 지역빈도해석을 수행하고 있으며, 지역빈도해석에 적합한 모집단 성장곡선으로부터 네트워크 최대값(network maximum, netmax) 자료의 분포위치를 고려하기 위하여 영국 강우자료를 이용한 공간상관식(ln $N_e$)을 유도하였다. 이런 이유로 영국에서 개발된 공간상관식을 우리나라에 적용할 경우 부정확한 확률강우량을 산정하는 문제점이 발생한다. 이를 보완하기 위하여 본 연구에서는 우리나라 기상청 산하 유인관측소 지점 중 30년 이상의 긴 강우자료를 보유한 64개 지점의 강우자료를 이용하여 공간상관식을 유도하였다. 지점 간의 합리적인 비교를 위해 1973년부터 2014까지를 기준기간(reference period)으로 정하였고, 강우지속시간, 지점 수, 네트워크 면적 등 3가지 변수를 고려하여 공간상관식을 유도하였다. 유도된 공간상관식을 FORGEX 기법에 적용하여 지역빈도해석을 수행하였고, 기존의 영국식을 이용하여 산정한 확률강우량 값과 비교 분석하였다. 그 결과 우리나라 강우자료를 이용하여 새롭게 유도한 공간상관식은 기존의 영국식 보다 정확한 것으로 나타났고, 이를 FORGEX 기법에 적용한 결과 영국 공간상관식은 새롭게 개발한 공간상관식보다 확률강우량을 과소 추정하는 것으로 나타났다. 본 연구를 통하여 기존 FORGEX 기법에서 내포하고 있는 부정확성을 보완할 수 있고, 긴 재현기간에 대한 확률강우량을 보다 정확하게 추정할 수 있을 것으로 판단된다.

하수관거 통수능 해석을 위한 Huff 모형과 ABM 법의 적용성 분석 (Applicability of Huff Model & ABM Method for Discharge Capacity of Sewer Pipe)

  • 현인환;전승희;김두일
    • 상하수도학회지
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    • 제36권4호
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    • pp.229-237
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    • 2022
  • The sewer capacity design have been based on the Huff model or the rational equation in South Korea and often failed to determine optimal capacity, resulting in frequent urban flooding or over-sizing. A time distribution of rainfall (i.e., Huff or ABM method) could be used instead of a rainfall hyetograph obtained from statistical analysis of previous rainfalls. In this study, the Huff method and the ABM method, which predict the time distribution of rain intensity, which are widely used to calculate sewage pipe drainage capacity using the SWMM, were compared with the standard rainfall intensity hyetograph of Seoul. If the rainfall duration was 30 minutes to 180 minutes, the rainfall intensity value calculated by the Huff model tended to be less than the rainfall intensity value of the standard rainfall intensity in the initial 5-10 minutes. As a result, more than 10% to 30% of under-design would be made. In addition, the rainfall intensity value calculated by the Huff model from the section excluding the initial 5-10 minutes of rainfall to the rainfall duration was calculated larger than the value using the standard rainfall intensity equation, which would result in an over-design of 10% to 30%. In the case of a relatively long rainfall duration of 360 minutes (6 hours) to 1,440 minutes (24 hours), it showed an lower rainfall intensity of 60 to 90% in the early stages of rainfall, but the problem of under-design had been solved as the rainfall duration time had elapsed. On the other hand, in the alternating block method (ABM) method, it was found that the rainfall intensity at the entire period at each assumed rainfall duration accurately matched the standard rainfall intensity hyetograph of Seoul.

Monthly rainfall forecast of Bangladesh using autoregressive integrated moving average method

  • Mahmud, Ishtiak;Bari, Sheikh Hefzul;Rahman, M. Tauhid Ur
    • Environmental Engineering Research
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    • 제22권2호
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    • pp.162-168
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    • 2017
  • Rainfall is one of the most important phenomena of the natural system. In Bangladesh, agriculture largely depends on the intensity and variability of rainfall. Therefore, an early indication of possible rainfall can help to solve several problems related to agriculture, climate change and natural hazards like flood and drought. Rainfall forecasting could play a significant role in the planning and management of water resource systems also. In this study, univariate Seasonal Autoregressive Integrated Moving Average (SARIMA) model was used to forecast monthly rainfall for twelve months lead-time for thirty rainfall stations of Bangladesh. The best SARIMA model was chosen based on the RMSE and normalized BIC criteria. A validation check for each station was performed on residual series. Residuals were found white noise at almost all stations. Besides, lack of fit test and normalized BIC confirms all the models were fitted satisfactorily. The predicted results from the selected models were compared with the observed data to determine prediction precision. We found that selected models predicted monthly rainfall with a reasonable accuracy. Therefore, year-long rainfall can be forecasted using these models.