• Title/Summary/Keyword: Stochastic Rainfall Model

Search Result 75, Processing Time 0.023 seconds

Short-term Distributed Rainfall Prediction using Stochastic Error Field Modeling

  • Kim, Sun-Min;Tachikawa, Yasuto;Takara, Kaoru
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2005.05b
    • /
    • pp.225-229
    • /
    • 2005
  • 이류모형을 이용한 단기예측 레이더 강우자료와 관측 레이더자료의 비교를 통하여 얻어진 예측오차를 분석하였다. 임의 시점까지의 예측오차 장에 나타나는 확률분포 형태와 공간적 상관성을 분석하여 이들 특성을 반영하는 추후의 예측오차 장을 모의할 수 있었다. 모의된 예측오차 장과 합성된 단기예측 강우 장은 이류모형을 이용한 예측에 따른 불확실성 을 추계학적으로 반영한 예측강우를 제공한다.

  • PDF

Development of Distributed Rainfall-Runoff Model by Using GIS and Uncertainty Analysis (I) - Theory and Development of Model - (GIS와 불확실도 해석기법을 이용한 분포형 강우 - 유출 모형의 개발 (I) - 이론 및 모형의 개발 -)

  • Choi, Hyun-Sang;Han, Kun-Yeun
    • Journal of Korea Water Resources Association
    • /
    • v.37 no.4
    • /
    • pp.329-339
    • /
    • 2004
  • The main objective of this study is to develop a GIS-based two-dimensional model for the simulation of rainfall-runoff process and overland flow of a watershed. The tasks of this study are summarized: to develop a two-dimensional model for overland flow and to construct a rainfall-runoff simulation system linked with GIS. The mathematical formulation of the model incorporates four parts: spatially varied rainfall, spatially distributed infiltration, 1-directional, 4-directional and 8-directional overland flow routing scheme, and one-dimensional channel routing scheme. For the development of stochastic model, Monte Carlo simulation method has been directly integrated into the model. GIS using Arc/Info and ArcView has been applied to prepare the model input data(elevation, soil type, rainfall data, etc.) for a simulation and to demonstrate the simulation results.

Transfer Functional Modeling Using Soil Moisture Measurements at a Steep Forest Hillslope (산지사면의 실측토양수분을 이용한 전이함수 모형의 적용)

  • Kim, Sang-Hyun
    • Journal of Environmental Science International
    • /
    • v.22 no.4
    • /
    • pp.415-424
    • /
    • 2013
  • In this paper, time series of soil moisture were measured for a steep forest hillslope to model and understand distinct hydrological behaviours along two different transects. The transfer function analysis was presented to characterize temporal response patterns of soil moisture for rainfall events. The rainfall is a main driver of soil moisture variation, and its stochastic characteristic was properly treated prior to the transfer function delineation between rainfall and soil moisture measurements. Using field measurements for two transects during the rainy season in 2007 obtained from the Bumrunsa hillslope located in the Sulmachun watershed, a systematic transfer functional modeling was performed to configure the relationships between rainfall and soil moisture responses. The analysis indicated the spatial variation pattern of hillslope hydrological processes, which can be explained by the relative contribution of vertical, lateral and return flows and the impact of transect topography.

Evaluation of extreme rainfall estimation obtained from NSRP model based on the objective function with statistical third moment (통계적 3차 모멘트 기반의 목적함수를 이용한 NSRP 모형의 극치강우 재현능력 평가)

  • Cho, Hemie;Kim, Yong-Tak;Yu, Jae-Ung;Kwon, Hyun-Han
    • Journal of Korea Water Resources Association
    • /
    • v.55 no.7
    • /
    • pp.545-556
    • /
    • 2022
  • It is recommended to use long-term hydrometeorological data for more than the service life of the hydraulic structures and water resource planning. For the purpose of expanding rainfall data, stochastic simulation models, such as Modified Bartlett-Lewis Rectangular Pulse (BLRP) and Neyman-Scott Rectangular Pulse (NSRP) models, have been widely used. The optimal parameters of the model can be estimated by repeatedly comparing the statistical moments defined through a combination of parameters of the probability distribution in the optimization context. However, parameter estimation using relatively small observed rainfall statistics corresponds to an ill-posed problem, leading to an increase in uncertainty in the parameter estimation process. In addition, as shown in previous studies, extreme values are underestimated because objective functions are typically defined by the first and second statistical moments (i.e., mean and variance). In this regard, this study estimated the parameters of the NSRP model using the objective function with the third moment and compared it with the existing approach based on the first and second moments in terms of estimation of extreme rainfall. It was found that the first and second moments did not show a significant difference depending on whether or not the skewness was considered in the objective function. However, the proposed model showed significantly improved performance in terms of estimation of design rainfalls.

Application of Rainwater Harvesting System Reliability Model Based on Non-parametric Stochastic Daily Rainfall Generator to Haundae District of Busan (비모수적 추계학적 일 강우 발생기 기반의 빗물이용시설 신뢰도 평가모형의 부산광역시 해운대 신시가지 적용)

  • Choi, ChiHyun;Park, MooJong;Baek, ChunWoo;Kim, SangDan
    • Journal of Korean Society on Water Environment
    • /
    • v.27 no.5
    • /
    • pp.634-645
    • /
    • 2011
  • A newly developed rainwater harvesting (RWH) system reliability model is evaluated for roof area of buildings in Haeundae District of Busan. RWH system is used to supply water for toilet flushing, back garden irrigation, and air cooling. This model is portable because it is based on a non-parametric precipitation generation algorithm using a markov chain. Precipitation occurrence is simulated using transition probabilities derived for each day of the year based on the historical probability of wet and dry day state changes. Precipitation amounts are selected from a matrix of historical values within a moving 30 day window that is centered on the target day. Then, the reliability of RWH system is determined for catchment area and tank volume ranges using synthetic precipitation data. As a result, the synthetic rainfall data well reproduced the characteristics of precipitation in Busan. Also the reliabilities of RWH system for each of demands were computed to high values. Furthermore, for study area using the RWH system, reduction efficiencies for rooftop runoff inputs to the sewer system and potable water demand are evaluated for 23%, 53%, respectively.

The Potential Effects of Climate Change on Streamflow in Rivers Basin of Korea Using Rainfall Elasticity

  • Kim, Byung Sik;Hong, Seung Jin;Lee, Hyun Dong
    • Environmental Engineering Research
    • /
    • v.18 no.1
    • /
    • pp.9-20
    • /
    • 2013
  • In this paper, the rainfall elasticity of streamflow was estimated to quantify the effects of climate change on 5 river basins. Rainfall elasticity denotes the sensitivity of annual streamflow for the variations of potential annual rainfall. This is a simple, useful method that evaluates how the balance of a water cycle on river basins changes due to long-term climate change and offers information to manage water resources and environment systems. The elasticity method was first used by Schaake in 1990 and is commonly used in the United States and Australia. A semi-distributed hydrological model (SLURP, semi-distributed land use-based runoff processes) was used to simulate the variations of area streamflow, and potential evapotranspiration. A nonparametric method was then used to estimate the rainfall elasticity on five river basins of Korea. In addition, the A2 (SRES IPCC AR4, Special Report on Emission Scenarios IPCC Fourth Assessment Report) climate change scenario and stochastic downscaling technique were used to create a high-resolution weather change scenario in river basins, and the effects of climate change on the rainfall elasticity of each basin were then analyzed.

-Mathematical models for time series of monthly Precipitation and monthly run-off on South Han river basin- (남한강수계의 월강우량과 월유출량의 시계별 산술모형)

  • 이종남
    • Water for future
    • /
    • v.14 no.2
    • /
    • pp.71-79
    • /
    • 1981
  • This study is established of simulation models form the stochastic and statistic analysis of monthly rainfall and monthly runoff on south Han river. The time series simulation of monthly runoff is introduced with a linear stochastic model for simulating synthetic monthly runoff data. And, time series model of monthly pricipitation and monthly runoff is introduced to be a pure random time series with known statical parameter, which is characterized by an exponential recession curve with one parameter, and is develope expressing the statistical parameter for length of carryover.

  • PDF

Assessment of Flood Probability Based on Temporal Distribution of Forecasted-Rainfall in Cheongmicheon Watershed (예보강우의 시간분포에 따른 청미천 유역의 홍수 확률 평가)

  • Lee, Hyunji;Jun, Sang Min;Hwang, Soon Ho;Choi, Soon-Kun;Park, Jihoon;Kang, Moon Seong
    • Journal of The Korean Society of Agricultural Engineers
    • /
    • v.62 no.1
    • /
    • pp.17-27
    • /
    • 2020
  • The objective of this study was to assess the flood probability based on temporal distribution of forecasted-rainfall in Cheongmicheon watershed. In this study, 6-hr rainfalls were disaggregated into hourly rainfall using the Multiplicative Random Cascade (MRC) model, which is a stochastic rainfall time disaggregation model and it was repeated 100 times to make 100 rainfalls for each storm event. The watershed runoff was estimated using the Clark unit hydrograph method with disaggregated rainfall and watershed characteristics. Using the peak discharges of the simulated hydrographs, the probability distribution was determined and parameters were estimated. Using the parameters, the probability density function is shown and the flood probability is calculated by comparing with the design flood of Cheongmicheon watershed. The flood probability results differed for various values of rainfall and rainfall duration. In addition, the flood probability calculated in this study was compared with the actual flood damage in Cheongmicheon watershed (R2 = 0.7). Further, this study results could be used for flood forecasting.

A Study on the Rainfall Generation (In Two-dimensional Random Storm Fields) (강우의 모의발생에 관한 연구 (2차원 무작위 호우장에서))

  • Lee, Jea Hyoung;Soun, Jung Ho;Hwang, Man Ha
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.11 no.1
    • /
    • pp.109-116
    • /
    • 1991
  • In recent years, hydrologists have been interested in the radial spectrum and its estimation in two dimensional storm field to construct simulation model of the rainfall. This paper deals with the problem of transformation from the spectrum or isotropic covariance function to two dimensional random field. The extended turning band method for the generation of random field is applied to the problem using the line generation method of one dimensional stochastic process by G.Matheron. Examples of this generation is chosen in the random components of the multidimensional rainfall model suggested by Bras and are given with a comparison between theoretical and sample statistics. In this numerical experiments it is observed that first and second order statistics can be conserved. Also the example of moving storm simulation through Bras model is presented with the appropriate parameters and sample size.

  • PDF

Development of Drought Forecasting Techniques Using Nonstationary Rainfall Simulation Method (비정상성 강우모의기법을 이용한 가뭄 예측기법 개발)

  • Kim, Tae-Jeong;Park, Jong-Hyeon;Jang, Seok-Hwan;Kwon, Hyun-Han
    • Journal of The Korean Society of Agricultural Engineers
    • /
    • v.58 no.5
    • /
    • pp.1-10
    • /
    • 2016
  • Drought is a slow-varying natural hazard that is characterized by various factors such that reliable drought forecasting along with uncertainties estimation has been a major issue. In this study, we proposed a stochastic simulation technique based scheme for providing a set of drought scenarios. More specifically, this study utilized a nonstationary Hidden markov model that allows us to include predictors such as climate state variables and global climate model's outputs. The simulated rainfall scenarios were then used to generate the well-known meteorological drought indices such as SPI, PDSI and PN for the three dam watersheds in South Korea. It was found that the proposed modeling scheme showed a capability of effectively reproducing key statistics of the observed rainfall. In addition, the simulated drought indices were generally well correlated with that of the observed.