Flood forecasting that considers the impact of hydraulic projects by an improved TOPMODEL model in the Wudaogou basin, Northeast China

Many hydraulic projects such as reservoirs, ponds and paddy fields as well as soil and water conservation engineering projects have been constructed to improve utilization of water resources upstream of the Wudaogou station basin in Northeast China in recent years. As a result, the local hydrologica...

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Bibliographic Details
Published in:Water science & technology. Water supply 2016-10, Vol.16 (5), p.1467-1476
Main Authors: Peng, Yong, Chu, Jinggang, Sun, Xinguo, Zhou, Huicheng, Zhang, Xiaoli
Format: Article
Language:English
Subjects:
Bayesian analysis
Climate change
Computer simulation
Construction
Dams
Flood forecasting
Floods
Forecasting
Hydraulics
Hydrology
Mathematical models
Neural networks
Ponds
Precipitation
Remote sensing
Reservoirs
Runoff
Runoff forecasting
Soil conservation
Soil dynamics
Soil moisture
Soil water storage
Stock assessment
Storage capacity
Stream flow
Water conservation
Water resources
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Summary:Many hydraulic projects such as reservoirs, ponds and paddy fields as well as soil and water conservation engineering projects have been constructed to improve utilization of water resources upstream of the Wudaogou station basin in Northeast China in recent years. As a result, the local hydrological characteristics of the basin and the flood runoff and process have been changed. These changes in the basin characteristics make basin hydrological forecasting more difficult. In order to model and assess this situation, the TOPMODEL, which includes the dynamic soil moisture storage capacity (DSMSC-TOPMODEL), is used in this study to simulate the flood impact of hydraulic projects. Furthermore, the Bayesian method is used to evaluate model parameter uncertainty and assess the TOPMODEL's performance over the basin. Flood simulation results show that accuracy is significantly improved when the stock version of TOPMODEL is replaced with DSMSC-TOPMODEL, with the qualified ratio of forecasting runoff yield increasing from 65% in the former to 88% in the latter. Moreover, these flood simulations are more suitable for helping observers visualize the process.
ISSN:1606-9749
1607-0798
DOI:10.2166/ws.2016.075