JOURNAL ARTICLE

Flood Forecasting Module of the Distributed Hydrological Model EasyDHM

Xiaohui LeiWeihong LiaoYunzhong JiangHao Wang

Year: 2012 Journal:   Journal of Disaster Research Vol: 7 (5)Pages: 534-539   Publisher: Fuji Technology Press Ltd.

Abstract

A flood forecasting module of the independentlydeveloped distributed hydrological model EasyDHM is developed mainly aiming to support the flood operational management. In this flood forecasting module, the accuracy of hydrological simulation is the most important task. In order to increase accuracy, some new techniques such as the management of initial parameters, management and adaptive interpolation of realtime weather information data, autocalibration of parameters, real-time flood correction, and multimodel combination techniques are introduced to this module. The module is then applied to the Nen River basin in China for confirmation of results. It is revealed that the accuracy of simulation results from the flood forecasting module is obviously higher than that from regular simulation in EasyDHM, and this independent flood module is of great importance for flood forecast and management projects.

Keywords:
Flood forecasting Flood myth Computer science Hydrological modelling Environmental science Interpolation (computer graphics) Meteorology Hydrology (agriculture) Climatology Geology Geography Artificial intelligence Geotechnical engineering

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Topics

Hydrology and Watershed Management Studies
Physical Sciences →  Environmental Science →  Water Science and Technology
Flood Risk Assessment and Management
Physical Sciences →  Environmental Science →  Global and Planetary Change
Hydrological Forecasting Using AI
Physical Sciences →  Environmental Science →  Environmental Engineering

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