Integrated GIS/AHP-based flood disaster risk assessment and zonation: a case study of Henan Province, China

2010 ◽  
Author(s):  
Junling Li ◽  
Huailiang Chen ◽  
Zhongyang Liu ◽  
Chunhui Zou
Keyword(s):  
Risk Assessment ◽  
Disaster Risk ◽  
Henan Province ◽  
Flood Disaster ◽  
Disaster Risk Assessment

scholarly journals Flood Disaster Risk Assessment of Rural Housings — A Case Study of Kouqian Town in China

2014 ◽  
Vol 11 (4) ◽  
pp. 3787-3802 ◽  
Author(s):  
Qi Zhang ◽  
Jiquan Zhang ◽  
Liupeng Jiang ◽  
Xingpeng Liu ◽  
Zhijun Tong
Keyword(s):  
Risk Assessment ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Disaster Risk Assessment

scholarly journals Integrating human behaviour dynamics into flood disaster risk assessment

2018 ◽  
Vol 8 (3) ◽  
pp. 193-199 ◽  
Author(s):  
J. C. J. H. Aerts ◽  
W. J. Botzen ◽  
K. C. Clarke ◽  
S. L. Cutter ◽  
J. W. Hall ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Human Behaviour ◽  
Disaster Risk Assessment

scholarly journals Typhoon Disaster Risk Assessment Based on Emergy Theory: A Case Study of Zhuhai City, Guangdong Province, China

2020 ◽  
Vol 12 (10) ◽  
pp. 4212
Author(s):  
Zhicheng Gao ◽  
Rongjin Wan ◽  
Qian Ye ◽  
Weiguo Fan ◽  
Shihui Guo ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Guangdong Province ◽  
Disaster Risk ◽  
Related Data ◽  
Theoretical Support ◽  
Disaster Risk Assessment ◽  
Energy Flows ◽  
Emergy Theory ◽  
Typhoon Disaster

Typhoons and cyclones are the most impacting and destructive natural disasters in the world. To address the shortcomings of a previous typhoon disaster risk assessment (for example, human factors were involved in determining weights by importance, and this affected the experimental results), an emergy method, which converts energy flows of different properties into the same solar energy basis for a convenient comparison, was used to assess the risk of regional typhoon disasters. Typhoon disaster-related data from 2017 were used to develop an index system including resilience, potential strength, and sensitivity which was in turn applied to assess typhoon disaster risks in Zhuhai City, Guangdong Province, China. The results showed that the spatial distribution of the typhoon disaster risks in Zhuhai significantly differed, with the highest risk in Xiangzhou district, the second highest risk in Doumen district, and the lowest risk in Jinwan district. In addition, improving the level of regional resilience can effectively reduce risks from typhoon disasters. The application of the emergy method in a typhoon disaster risk assessment may provide some theoretical support for national and regional governmental strategies for disaster prevention and reduction.

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