Research on flood risk assessment model at regional scale

被引：1

作者：

Chen Hao-rui ^{[1
]}

Wang Shao-li ^{[1
]}

机构：

[1] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China

来源：

2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS | 2013年

关键词：

Flood; Waterlogging; Risk; Numerical models; Environment change; IRRIGATION DISTRICTS; WATER-QUALITY; SYSTEM; SIMULATION; MANAGEMENT; CATCHMENTS; SUGARCANE; FREQUENCY; DRAINAGE; IMPACT;

D O I：

10.1109/ISDEA.2013.513

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Global climate changes and human activities have a profound impact on disaster environment and formation mechanism of waterlogging disaster, exacerbating the uncertainty of waterlogging disaster and highlighting complexity and difficulty coping with the water disasters of farmland. A large number of researches on risk assessment and prediction of flood disaster have been carried out at home and abroad, and this study concluded the research progress of this direction in recent years in terms of six aspects including the connotation of disaster risk, comprehensive assessment of flood risk based on index system, the numerical models of flood disaster risk assessment, the regularity analysis of different carriers, the influence of environment changes on flood disaster risk and uncertainty of flood disaster and finally analyzed problems in the research and the future directions of development.

引用

页码：472 / 478

页数：7

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