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Research on the applicability of IFAS model in flood analysis (Pilot at Bang Giang river basin in Cao Bang Province)

Authors
Dinh, Duy Chinh (VNU University of Science)
Search for Duy Chinh Dinh in Research Programmes Information System
Nguyen, Thi Thanh Thuan (VNU University of Science)
Search for Thi Thanh Thuan Nguyen in Research Programmes Information System
Tong, Ngoc Thanh (NDWRPI)
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Pham, Thanh Van (Technical University Munich)
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Vu, Van Manh (VNU University of Science)
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Chapter Water management
Volume Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
Conference EnviroInfo 2014 - ICT for Energy Effieciency
Oldenburg, 2014
Year 2014
Abstract of the Article
In climate change context, the increase of seriousness of natural disasters including flood is
considerable. Thus, flood monitoring has been used to understand its rule and increase human
subjective sensitivity on this catastrophe, in order to find management solution. However, this is not
an easy job at national, regional and organizational levels because of lack of monitoring equipment,
operational fund or lack of reliable data.
To solve this problem, IFAS (Integrated Flood Analysis System) model was built. By using the input
data which can be downloaded completely free for research, such as land use, elevation, especially
rainfall data - this is completely new method comparing to current hydrological models. In this study,
IFAS model is implemented at Bang Giang river in northeastern Vietnam. Through the algorithms of
model, outputs are water level and discharge of surface, subsurface, aquifer, river course and vertical
seepage in 3 forms: map, chart and table, showing the detailed information related to the flood.
Assessing accuracy of the flow simulation model by relative error of the peak of flood (?Q) and
Nash–Sutcliffe coefficient (R) shows that the flow simulation model achieves high accuracy in large
rivers (?Q= -13.63%, R=0.93) and low accuracy in small river branches (?Q=+57.64%, R=0.44).
Pages 317 - 324
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