Real-Time Analysis and Forecasting of Multisite River Flow Using a Distributed Hydrological Model

A spatial distributed hydrological forecasting system was developed to promote the analysis of river flow dynamic state in a large basin. The research presented the real-time analysis and forecasting of multisite river flow in the Nakdong River Basin using a distributed hydrological model with radar...

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Main Authors: Mingdong Sun, Gwangseob Kim
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/659262
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spelling doaj-0668062b57e84326b2bab8026d1b68a22020-11-25T00:00:48ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/659262659262Real-Time Analysis and Forecasting of Multisite River Flow Using a Distributed Hydrological ModelMingdong Sun0Gwangseob Kim1Department of Civil Engineering, Kyungpook National University, Daegu 702701, Republic of KoreaDepartment of Civil Engineering, Kyungpook National University, Daegu 702701, Republic of KoreaA spatial distributed hydrological forecasting system was developed to promote the analysis of river flow dynamic state in a large basin. The research presented the real-time analysis and forecasting of multisite river flow in the Nakdong River Basin using a distributed hydrological model with radar rainfall forecast data. A real-time calibration algorithm of hydrological distributed model was proposed to investigate the particular relationship between the water storage and basin discharge. Demonstrate the approach of simulating multisite river flow using a distributed hydrological model couple with real-time calibration and forecasting of multisite river flow with radar rainfall forecasts data. The hydrographs and results exhibit that calibrated flow simulations are very approximate to the flow observation at all sites and the accuracy of forecasting flow is gradually decreased with lead times extending from 1 hr to 3 hrs. The flow forecasts are lower than the flow observation which is likely caused by the low estimation of radar rainfall forecasts. The research has well demonstrated that the distributed hydrological model is readily applicable for multisite real-time river flow analysis and forecasting in a large basin.http://dx.doi.org/10.1155/2014/659262
collection DOAJ
language English
format Article
sources DOAJ
author Mingdong Sun
Gwangseob Kim
spellingShingle Mingdong Sun
Gwangseob Kim
Real-Time Analysis and Forecasting of Multisite River Flow Using a Distributed Hydrological Model
Mathematical Problems in Engineering
author_facet Mingdong Sun
Gwangseob Kim
author_sort Mingdong Sun
title Real-Time Analysis and Forecasting of Multisite River Flow Using a Distributed Hydrological Model
title_short Real-Time Analysis and Forecasting of Multisite River Flow Using a Distributed Hydrological Model
title_full Real-Time Analysis and Forecasting of Multisite River Flow Using a Distributed Hydrological Model
title_fullStr Real-Time Analysis and Forecasting of Multisite River Flow Using a Distributed Hydrological Model
title_full_unstemmed Real-Time Analysis and Forecasting of Multisite River Flow Using a Distributed Hydrological Model
title_sort real-time analysis and forecasting of multisite river flow using a distributed hydrological model
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
description A spatial distributed hydrological forecasting system was developed to promote the analysis of river flow dynamic state in a large basin. The research presented the real-time analysis and forecasting of multisite river flow in the Nakdong River Basin using a distributed hydrological model with radar rainfall forecast data. A real-time calibration algorithm of hydrological distributed model was proposed to investigate the particular relationship between the water storage and basin discharge. Demonstrate the approach of simulating multisite river flow using a distributed hydrological model couple with real-time calibration and forecasting of multisite river flow with radar rainfall forecasts data. The hydrographs and results exhibit that calibrated flow simulations are very approximate to the flow observation at all sites and the accuracy of forecasting flow is gradually decreased with lead times extending from 1 hr to 3 hrs. The flow forecasts are lower than the flow observation which is likely caused by the low estimation of radar rainfall forecasts. The research has well demonstrated that the distributed hydrological model is readily applicable for multisite real-time river flow analysis and forecasting in a large basin.
url http://dx.doi.org/10.1155/2014/659262
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AT gwangseobkim realtimeanalysisandforecastingofmultisiteriverflowusingadistributedhydrologicalmodel
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