• Title/Summary/Keyword: river model

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Development of GIS-based Arc River Data Model for Building Three-dimensional River Information System (3차원 하천정보화시스템 구축을 위한 GIS 기반 Arc River 데이터 모델 개발)

  • Kim, Dong-Su
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.214-214
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    • 2012
  • 본 논문은 최근 세계적으로 활발히 진행되고 있는 수리정보화시스템의 한 부분이 될 수 있는 하천정보화시스템의 구축의 근간이 되는 3차원 하천 자료 모형으로 개발된 아크리버 (Arc River)자료 모형을 소개한다. Arc River는 지리정보시스템(GIS)에 기반하여 수립되었고 최신 하천 유동 및 하상 계측기법으로 확보된 방대한 양의 관측 자료를 수집, 저장, 처리, 검색, 그리고 분석할 수 있게 하는 표준화된 자료 모형 (data model)이다. Arc River는 지난 10년간 유역 자료 모형의 표준으로 사용되어 온 Arc Hydro 모델의 한계를 극복하여 3차원에서 시공간적으로 변화하는 복수의 하천 관측 자료를 효율적으로 연계하고 GIS에서 활용할 수 있도록 설계되었다. 본 논문은 Arc River의 다양한 설계 원리에 대해 설명하고 실제 ADCP 자료를 활용하여 활성화된 Arc River의 예를 제시한다. Arc River는 향후 하천을 유지, 관리, 해석에 있어 필요한 3차원 하천정보화시스템의 구축의 근간을 이루고 국내에서도 그 활용을 범위를 넓힐 것으로 기대한다.

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Numerical Model for Predicting Sand Bar Formation around River Mouth (하구역의 사주 형성 예측을 위한 수치 모델)

  • Kuroiwa, Masamitsu;Matsubara, Yuhei;Suzuki, Yoko;Kuchiishi, Takayuki
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.26 no.2
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    • pp.96-102
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    • 2014
  • A three-dimensional beach evolution model was presented to predict morphodynamics around a river mouth. The presented model was based on the depth-averaged (2DH) and quasi three-dimensional (Q-3D) nearshore current modules, and the model took into account shoreline changes, the effect of advection diffusion of suspended load and discharged sediments from the river. First, the 3D beach evolution model was applied to the formation of sand spits and terrace at the river mouth in order to investigate the performance of the model. Secondly, the model was applied to the river mouth at the Ara River, facing the Sea of Japan. The formation of sand spit at the Ara River in winter season was reproduced. The computed result showed qualitatively agreement with field site observation.

Study on Natural Purification in the Midstream of Nakdong River (낙동강 중류부의 자정능력에 대한 연구 -용존산소를 중심으로-)

  • 이홍근;한진석
    • Water for future
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    • v.17 no.2
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    • pp.85-97
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    • 1984
  • Measuring the river flow and water quality in the midstream of the Nakdong River, the natural purification status in examined through the analyses of the elements which affect the variation of dissolved oxygen, and DO model is evaluated to the midstream reach of the river. The major results of this study are as follows; the pruification factor of the of the river is relatively high, it is worried over eutrophication considering much production of algae, and it is evaluated that important factor affecting the DO value computed by the proposed DO model are in order of reaeration coefficient, carbonaceous BOD and deoxygenation constant.

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Application of POM to the River Flow (POM의 하천 흐름 해석에의 적용)

  • Chun, Je-Ho;Ahn, Kyung-Mo;Yoon, Jong-Tae
    • Journal of Ocean Engineering and Technology
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    • v.24 no.3
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    • pp.31-37
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    • 2010
  • During typhoon periods, coastal regions are often directly flooded by typhoon-surges. There are also many cases where coastal regions are inundated by river inundations or dam breaks. However, most studies on coastal flooding by typhoons have been restricted to cases involving the sea. Flooding by river inundation has been excluded in those studies. Usually ocean numerical models are not applied to river flow because the governing equations for ocean flow and river flow are not the same. For a coastal flooding simulation with river inundation, POM, the three-dimensional numerical ocean model, was applied to the popular river flow problems, dam-break problem, and flows over a spillway. The simulated results showed good agreement with other numerical simulations and measured data, suggesting the possibility of using POM in coastal flooding simulations involving direct coastal surges and river inundations.

Analysis of Sediment Discharge by Long-term Runoff in Nakdong River Watershed using SWAT Model (SWAT 모형을 이용한 낙동강 유역의 장기 유출에 따른 유사량 분석)

  • Ji, Un;Kim, Tae-Geun;Lee, Eun-Jeong;Ryoo, Kyong-Sik;Hwang, Man-Ha;Jang, Eun-Kyung
    • Journal of Environmental Science International
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    • v.23 no.4
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    • pp.723-735
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    • 2014
  • Sediment discharge by long-term runoff in the Nakdong River watershed should be predicted for the maintenance and management of the Nakdong River newly changed by the four major river restoration project. The data establishment by the analysis of runoff and sediment discharge using the long-term watershed model is necessary to predict possible problems by incoming sediments and to prepare countermeasures for the maintenance and management. Therefore, sediment discharges by long-term runoff in the main points of the Nakdong River were calculated using SWAT(soil and water assessment tool) model and the relations and features between rainfall, runoff, and sediment discharge were analyzed in this study. As a result of sediment discharge calculation in the main points of the Nakdong River and tributaries, the sediment discharge at the outlet of the Naesung Stream was greater than the Jindong Station in the Lower Nakdong River from 1999 to 2008 except the years with low precipitation. The sediment discharge at the Nakdong River Estuary Barrage (NREB) was corresponding to 20% of the Jindong Station which is located about 80 km upstream from NREB.

Artificial Neural Networks for Forecasting of Short-term River Water Quality (단기 하천수질 예측을 위한 신경망모형)

  • Kim, Man-Sik;Han, Jae-Seok
    • Journal of the Korean GEO-environmental Society
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    • v.3 no.4
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    • pp.11-17
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    • 2002
  • The purpose of this study is the prediction of pollutant loads into Seomjin river watershed using neural networks model. The pollutant loads into river watershed depend upon the water quantity of inflow from the upstream as well as the water quality of the inflow into the river. For the estimation of pollutants into river, a neural networks model which has the features of multi-layered structure and parallel multi-connections is used. The used water quality parameters are BOD, COD and SS into Seomjin river. The results of calibration are satisfactory, and proved the availability of a proposed neural networks model to estimate short-term water quality pollutants into river system.

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A Study on the River MEanders in Geum River System. (금강수계의 사행에 관한 연구)

  • 안상진;이재동
    • Water for future
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    • v.15 no.1
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    • pp.33-42
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    • 1982
  • In recent years owing to extensive land reclamation, increased river engineering activites and morer intense flood plain use, river geomorphology has attracted considerable attention. One of outstanding problems has been maintenance of river meanders and nearly all natural river exhibit the tendency to meander. Often the meander geometry was fitted in to various idealized model. COnsequently, both the selection of data and the methods to determine the geometric parameters were highly subject to individual preferences. This study applied statistical analysis in tipifying their shape and analysised meander characteristics by channel model of line generalization algorithm. This method is applied to Geum river system. The results show that the variance of curvature is a better index to describe the meander intensity and the kurtosis is a good index to characterize the total length of the straight sections for a given reach. The results also show that channel model of line generalization algorithm is a good model in analysis of meander characterisitics.

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Optimum Water Allocation System Model in Keumho River Basin with Mathematical Programming Techniques (수리계획을 이용한 금호강유역의 최적 물배분 시스템모델)

  • 안승섭;이증석
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.39 no.2
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    • pp.74-85
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    • 1997
  • This study aims at the development of a mathematical approach for the optimal water allocation in the river basin where available water is not in sufficient. Its optimal allocation model is determined from the comparison and analysis of mathematical programming techniques such as transportation programming and dynamic programming models at its optimal allocation models. The water allocation system used in this study is designed to be the optimal water allocation which can satisfy the water deficit in each district through inter-basin water transfer between Kumho river basin which is a tributary catchment of Nakdong river basin, and the adjacent Hyungsan river basin, Milyang river basin and Nakdong upstream river basin. A general rule of water allocation is obtained for each district in the basins as the result of analysis of the optimal water allocation in the water allocation system. Also a comparison of the developed models proves that there is no big difference between the models Therefore transportation programming model indicates most adequate to the complex water allocation system in terms of its characteristics It can be seen, however, that dynamic programming model shows water allocation effect which produces greater net benefit more or less.

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Development and Evaluation of Simple Regression Model and Multiple Regression Model for TOC Contentation Estimation in Stream Flow (하천수내 TOC 농도 추정을 위한 단순회귀모형과 다중회귀모형의 개발과 평가)

  • Jung, Jaewoon;Cho, Sohyun;Choi, Jinhee;Kim, Kapsoon;Jung, Soojung;Lim, Byungjin
    • Journal of Korean Society on Water Environment
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    • v.29 no.5
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    • pp.625-629
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    • 2013
  • The objective of this study is to develop and evaluate simple and multiple regression models for Total Organic Carbon (TOC) concentration estimation in stream flow. For development (using water quality data in 2012) and evaluation (using water quality data in 2011) of regression models, we used water quality data from downstream of Yeongsan river basin during 2011 and 2012, and correlation analysis between TOC and water quality parameters was conducted. The concentrations of TOC were positively correlated with Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), TN (Total Nitrogen), Water Temperature (WT) and Electric Conductivity (EC). From these results, simple and multiple regression models for TOC estimation were developed as follows : $TOC=0.5809{\times}BOD+3.1557$, $TOC=0.4365{\times}COD+1.3731$. As a result of the application evaluation of the developed regression models, the multiple regression model was found to estimate TOC better than simple regression models.

Stability evaluation for the excavation face of shield tunnel across the Yangtze River by multi-factor analysis

  • Xue, Yiguo;Li, Xin;Qiu, Daohong;Ma, Xinmin;Kong, Fanmeng;Qu, Chuanqi;Zhao, Ying
    • Geomechanics and Engineering
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    • v.19 no.3
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    • pp.283-293
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    • 2019
  • Evaluating the stability of the excavation face of the cross-river shield tunnel with good accuracy is considered as a nonlinear and multivariable complex issue. Understanding the stability evaluation method of the shield tunnel excavation face is vital to operate and control the shield machine during shield tunneling. Considering the instability mechanism of the excavation face of the cross-river shield and the characteristics of this engineering, seven evaluation indexes of the stability of the excavation face were selected, i.e., the over-span ratio, buried depth of the tunnel, groundwater condition, soil permeability, internal friction angle, soil cohesion and advancing speed. The weight of each evaluation index was obtained by using the analytic hierarchy process and the entropy weight method. The evaluation model of the cross-river shield construction excavation face stability is established based on the idea point method. The feasibility of the evaluation model was verified by the engineering application in a cross-river shield tunnel project in China. Results obtained via the evaluation model are in good agreement with the actual construction situation. The proposed evaluation method is demonstrated as a promising and innovative method for the stability evaluation and safety construction of the cross-river shield tunnel engineerings.