• Title/Summary/Keyword: BASINS 모델

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GIS-based strategic approach for the estimation of soil erosion (토사유실평가를 위한 GIS기반의 전략적 접근 방법)

  • Lee, Geun-Sang;Koh, Deuk-Koo;Je, Seong-Jin
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.413-416
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    • 2006
  • This paper presents a strategic approach to effective soil conservation planning and management. To do this, the soil loss model, Revised Universal Soil Loss Equation (RUSLE) was used to quantify soil erosion in two basins (Andong and Imha basin), which are distinct in terms of sedimentation in the reservoir of each basin. Areas with high soil erosion potential were analyzed on the basis of land surface characteristics handled by geographic information system (GIS), especially dividing the basin into several sub-basins and then examination was emphasized near the river channel (water-pollutant buffering zone), along which human activities are large. Modeling results show the approach suggested herein provides a basis and guideline for choosing prior erosion risk areas to be examined for soil conservation planning and management. Also, this approach is relatively simple and has wide practical applicability.

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A Study on Evaluation of Layer Moduli and Stresses in Cement Concrete Pavement System (시멘트콘크리트 포장구조계의 층별물성 및 응력추정에 관한 연구)

  • Lee, Seong Won;Kim, Moon Kyum;Kim, Soo Il;Hwang, Hak Joo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.10 no.1
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    • pp.47-56
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    • 1990
  • An inverse self-iterative procedure is developed to estimate layer moduli and stresses in cement concrete pavement systems from the falling weight deflectometer deflection basins. The existing concrete pavement highways are analyzed using coupled analysis procedure of finite element and layer elastic theory for models obtained through factorial design, from which the characteristics of deflection basins are studied and the empirical equations are proposed for the estimation of layer moduli. The empirical equations are used to assume initial moduli, and the relations between the rate of change of moduli and deflections are used in the self-iterative procedure to ensure accuracy of moduli. The developed computer program of this procedure is verified through various numerical model tests.

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Runoff Analysis by the Geomorphoclimatic Linear Reservoir Model (지형기후학적 선형저수지 모델에 의한 유출해석)

  • 조홍제
    • Water for future
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    • v.18 no.2
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    • pp.143-152
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    • 1985
  • A method is suggested for the reappearance of a surface runoff hudorgraph of a river basin by linking the hydrologic response of a catchment represented by the instantaneous unit hydrograph(IUH) with the Horton's empirical gemorphologic laws. The geomorphologic theory of the IUH developed by G. Itrube et al. and the geomorphoclimatic theory of the IUH developed by Bras et al. are used to derive the new hydrologic response function in consideration of geomorphologic parameters and climatic characteristics by applying to Sukekawa's rainfall-runoff model. The derived response function was tested for on some observed hydrographs in a natural watershed and showed promising, and by considering a drainage basin as m(1∼4) identical linear reservoir in series, it was founded that the model(m=2) is most applicable to predict hydrologic response regardless of the size of basins. A modelization algorithm of a basin using Sthahler's ordering scheme of drainage network will give good result in analysis of the surface runoff huydrograph by the method of this study.

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A Study on the Rainfall Forecasting Using Neural Network Model in Nakdong River Basin - A Comparison with Multivariate Model- (낙동강유역에서 신경망 모델을 이용한 강우예측에 관한 연구 - 다변량 모델과의 비교 -)

  • Cho, Hyeon-Kyeong;Lee, Jeung-Seok
    • Journal of the Korean Society of Industry Convergence
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    • v.2 no.2
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    • pp.51-59
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    • 1999
  • This study aims at the development of the techniques for the rainfall forecasting in river basins by applying neural network theory and compared with results of Multivariate Model (MVM). This study forecasts rainfall and compares with a observed values in the San Chung gauging stations of Nakdong river basin for the rainfall forecasting of river basin by proposed Neural Network Model(NNM). For it, a multi-layer Neural Network is constructed to forecast rainfall. The neural network learns continuous-valued input and output data. The result of rainfall forecasting by the Neural Network Model is superior to the results of Multivariate Model for rainfall forecasting in the river basin. So I think that the Neural Network Model is able to be much more reliable in the rainfall forecasting.

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Development of a Model for Predicting Modulus on Asphalt Pavements Using FWD Deflection Basins (FWD 처짐곡선을 이용한 아스팔트 포장구조체의 탄성계수 추정 모형 개발)

  • Park, Seong Wan;Hwang, Jung Joon;Hwang, Kyu Young;Park, Hee Mun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5D
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    • pp.797-804
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    • 2006
  • A development of regression model for asphalt concrete pavements using Falling Weight Deflectometer deflections is presented in this paper. A backcalculation program based on layered elastic theory was used to generate the synthetic modulus database, which was used to generate 95% confidence intervals of modulus in each layer. Using deflection basins of FWD data used in developing this procedure were collected from Pavement Management System in flexible pavements. Assumptions of back-calculation are that one is 3 layered flexible pavement structure and another is depth to bedrock is finite. It is found that difference of between 95% confidence intervals and modulus ranges of other papers does not exist. So, the data of 95% confidence intervals in each layer was used to develop multiple regression models. Multiple regression equations of each layer were established by SPSS, package of Statics analysis. These models were proved by regression diagnostics, which include case analysis, multi-collinearity analysis, influence diagnostics and analysis of variance. And these models have higher degree of coefficient of determination than 0.75. So this models were applied to predict modulus of domestic asphalt concrete pavement at FWD field test.

A Study on Improvement of Water Quality in Hwang River and Keumho River Basins Using Data Analysis (데이터 분석을 활용한 황강, 금호강 유역의 수질개선방안 연구)

  • Jo, Bu Geon;Jung, Woo Suk;Kim, Young Do
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.143-143
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    • 2019
  • 우리나라 자연수역의 수질이 산업활동으로 배출된 오 폐수와 토지 및 가축에의한 하천오염의 심각성 및 보존에 대한 문제가 많은 관심을 받고 있다. 따라서 하천의 수질모델링에 관한 연구가 국내외적으로 진행되고 있다. 하천은 각기다른 특성을 가지고 있는데 데이터 분석을 통하여 유역특성을 연구하고자한다. 황강과 금호강은 낙동강 본류에 큰 영향을 미치는 지류이다. 두 개의 하천은 상류에 댐이 있다는 공통점이 있지만 각각의 유역특성을 가지고 있으며 특성에 따른 수질개선방안이 필요하다고 판단된다. 하천의 수질 모델링은 해당 수계의 오염부하량, 유출량 등 환경요인의 변화에 이에 따른 하천수질 목표지점의 수질변화를 모의함으로써 합리적 접근방법으로 효과적인 수질관리가 가능하도록 만들어준다. QUAL계열 모델 은 수질항목, 수역 특성, 기타 기초 자료의 제공여건 등을 고려하고 있다. 본 연구에서는 이러한 변화 요소와 기여 특성을 반영한 모의와 해석이 최적화된 QUAL-MEV 모델을 이용하였다. 수질개선방안 시나리오에서는 기존의 수질모델링 연구에 데이터 분석을 포함하여 각 인자간의 연관성 및 영향관계를 파악하고 수질개선방안에 있어 원인을 찾아보고자 한다. 부하량위주의 기존 시나리오 구성과 데이터분석 기반의 시나리오를 비교 분석하여 각 시나리오의 장 단점을 비교하여 유역맞춤형 관리방안을 모색하고자 한다.

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Site Selection Method by AHP-based Artificial Neural Network Model for Groundwater Artificial Recharge (AHP 기반의 인공신경망 모델을 활용한 지하수 인공함양 후보지 선정 방안)

  • Kim, Gyoo-Bum;Choi, Myoung-Rak;Seo, Min-Ho
    • The Journal of Engineering Geology
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    • v.28 no.4
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    • pp.741-753
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    • 2018
  • Local drought in South Korea has recently increased interest in the efficient use of groundwater and then induces a growing need to introduce artificial recharge of groundwater that stores water in sedimentary layer. In order to evaluate the potential artificial recharge sites in the alluvial basins in Chungcheongnamdo province, an AHP (Analytical hierarchy process) model consisting of three primary and seven secondary factors was developed in this study. In the AHP model, adding candidate sites changes final evaluation score through a mathematical calculation process. By contrast ANN (Artificial neural network) model always provides an unchanged score for each candidate area. Therefore, the score can be used as a selection criterion for artificial recharge sites. It is concluded that the possibility of artificial recharge is relatively low if the score of the ANN model is less than about 1.5. Further studies and field surveys on the other regions in Korea will lead to draw out a more applicable ANN model.

Build-Up a Kinematic Wave Routing System for the Catchment-Stream Complex (사면 및 하도 복합유출장의 단기 유출해석 시스템 개발)

  • Ha, Sung Ryong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.14 no.4
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    • pp.875-886
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    • 1994
  • This study is to develop an advanced storm runoff analysis program which takes geomorphological characteristics of watershed into consideration in determining model parameters. Basic concept of storm runoff modelling is based upon the kinematic wave theory. And numerical solution is obtained by the characteristic curve method. The storm runoff analysis program developed by this study is composed of multiple equivalent roughness sub-basins, each of which has two equivalent catchments on both side of a stream. Because it is based upon the stream-order of the Strahler system, the equivalent catchment-stream network reflects the stochastic geomorphological characteristics in the model parameter. Applicability and reliability of the storm runoff analysis program is evidenced by model calibration and verification process utilizing geographical and hydrological data of the Bocheong-river area which is a representative watershed of IHP projects in Korea. This study will hopefully contribute to hydrological calculation essentially required to understand water quality effect caused by regional development.

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A Development of Summer Seasonal Rainfall and Extreme Rainfall Outlook Using Bayesian Beta Model and Climate Information (기상인자 및 Bayesian Beta 모형을 이용한 여름철 계절강수량 및 지속시간별 극치 강수량 전망 기법 개발)

  • Kim, Yong-Tak;Lee, Moon-Seob;Chae, Byung-Soo;Kwon, Hyun-Han
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.5
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    • pp.655-669
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    • 2018
  • In this study, we developed a hybrid forecasting model based on a four-parameter distribution which allows a simultaneous season-ahead forecasting for both seasonal rainfall and sub-daily rainfall in Han-River and Geum-River basins. The proposed model is mainly utilized a set of time-varying predictors and the associated model parameters were estimated within a Bayesian nonstationary rainfall frequency framework. The hybrid forecasting model was validated through an cross-validatory experiment using the recent rainfall events during 2014~2017 in both basins. The seasonal precipitation results showed a good agreement with the observations, which is about 86.3% and 98.9% in Han-River basin and Geum-River basin, respectively. Similarly, for the extreme rainfalls at sub-daily scale, the results showed a good correspondence between the observed and simulated rainfalls with a range of 65.9~99.7%. Therefore, it can be concluded that the proposed model could be used to better consider climate variability at multiple time scales.

Development of Trading Units between Land uses for Water Quality Trading Policy (미국의 수질 교환법 적용을 위한 토지이용 간 교환단위 연구)

  • Shin, Yee-Sook;Trauth, Kathleen M.
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.99-99
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    • 2011
  • 최근에 미국에서 출범한 수질 교환 법은 수질기준을 혁신적인 접근방법으로 만족시키는 법이다. 이 법안은 수질기준을 초과하지 않는 조건에서 한 유역 안 다른 지점들의 점 오염과 비점오염 배출의 교환을 허용한다. 이 법안을 적용하기 위한 방법을 도출하기 위하여 많은 시험 프로그램을 운영하고 있지만 여전히 실제 교환은 상대적으로 적게 이루어지고 있다. 또한 하천내의 비 점오염량의 불확실성으로 인하여 교환 지점을 선정하고 적용하는 데에 큰 어려움이 있다. Hydrological Simulation Program-Fortran (HSPF)은 Soil and Water Assessement Tool (SWAT)과 함께 미국 하천 모델링에 많이 쓰이는 유역 모델로써 특히 HSPF는 각각의 토지 피복도의 퍼센트 투수량을 지정함으로써 도시지역의 유출량을 시뮬레이션 하는데 강점이 있다. 미국 중서부 미조리 주의 퍼시픽시를 포함하고 있는 Brush Creek 유역을 선택하여 퍼시픽시의 도시화 증가로 인한 Brush Creek 유역의 상류와 하류지역의 유출량 및 Sediment 변화를 예측하여 수질관리법을 적용하는 방법을 연구하였다. 이 연구의 특징은 원격탐사 이미지 (QuickBird)로 구현한 최근의 토지 이용을 미래의 도시지역으로 전환한 토지이용도를 사용함으로서 특정 유역을 가장 정확하게 이해하는 시뮬레이션을 가능하도록 한다는 점이다. 각각의 토지이용에서 도시화가 3가지의 강도를 가지고 진행된다는 시나리오를 이용하여 모델링을 하였고 이로 인해 계산된 유출량과 Sediment 양을 이용하여 각각의 토지이용 변화 별 수질 교환단위를 도출 하였다.

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