Title
A Gis-Supported Impact Assessment Of The Hierarchical Flood-Defense Systems On The Plain Areas Of The Taihu Basin, China
Abstract
The Taihu Basin is located in the east coast of China, with a total area of 36,895 km(2). Low-lying floodplain areas occupy about 83% of the basin. The threat of frequent floods to this economically important area has stimulated construction of enormous flood-defense projects along the complex system of rivers and lakes. Digital modeling of flooding processes and quantitative assessment of flood damages in this basin remain challenging due to the complexity. This article reports on an approach to simulate the flooding processes, which integrates hydrological and hydraulic modeling with dike-reliability analysis and socioeconomic information within a GIS platform. A new algorithm is introduced to calculate the influence of the flood-defense systems on spatial distributions of floodwater and consequential damages. Scenario analysis indicates that the modeling is particularly sensitive to the assumed rainfall, dike reliability, and the pump capacities within local polders. The model is validated by comparison with observations from historical flood records. The analysis reveals that the defense systems have significantly reduced the basin-wide flood risk and changed the spatial distributions of floodwater. Such a GIS-based approach can be potentially used to assess the benefit from construction of flood defenses and to avoid unintended spatial redistribution of flooding.
Year
DOI
Venue
2012
10.1080/13658816.2011.609486
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
Field
DocType
the Taihu Basin, flooding, hydraulic modeling, polders, GIS, damage assessment
Water resource management,Data mining,Dike,Impact assessment,Floodplain,Scenario analysis,Hydraulic engineering,Flooding (psychology),Geography,Flood myth,Structural basin
Journal
Volume
Issue
ISSN
26
4
1365-8816
Citations 
PageRank 
References 
2
0.54
3
Authors
13
Name
Order
Citations
PageRank
Chaoqing Yu1414.98
Xiaotao Cheng220.54
Jim Hall320.54
Edward P. Evans420.88
Yanyan Wang520.54
Changwei Hu6575.95
Haoyun Wu731.57
Jon Wicks820.54
Mathew Scott920.54
Haitao Sun1062.52
Jing Wang1120.54
Minglei Ren1250.96
Zongxue Xu1364.35