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研究进展-Impact of tropical cyclones on flood risk in southeastern China: Spatial patterns, causes and implications
发布时间: 2017-02-20  

Impact of tropical cyclones on flood risk in southeastern China: Spatial patterns, causes and implications

 

Qiang Zhang, Xihui Gu, Peijun Shi, Vijay P. Singh, Peijun Shi

 

[Qiang Zhang; Peijun Shi]. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China.

[Qiang Zhang, Peijun Shi]. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.

[Qiang Zhang, Peijun Shi]. Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China

[Xihui Gu]. Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China.

[Vijay P Singh]. Department of Biological and Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, College Station, Texas, USA

 

ABSTRACT: Using flood peaks data from 62 hydrological stations covering a period of 1951-2014 and tropical cyclone (TC) tracks, floods due to TCs were differentiated and relations between occurrences of floods and TCs were investigated. Then, the impact of TCs on the flood magnitude and frequency was evaluated. Results indicated that there was more than one external influencing factor for flood occurrences, i.e. convective precipitation and TC-related heavy precipitation. In general, the landed TC events have a crucial influence on the occurrence of floods in eastern and western parts of Guangdong province. The mountainous topography limits the northward propagation of TC events and hence limits their impact on the occurrence of floods in the northern part. More than 60% of the largest 10 hazardous floods in the northern and eastern parts were attributed to TCs and hence they significantly modified the probability distributions of flood peaks, increasing the location and scale parameters of the generalized extreme value (GEV) probability distribution model. Therefore, development of measures for mitigation of coastal flooding would need to consider the occurrences of TCs.

 

Published in Global and Planetary Change, 2017, 150: 81-93.


 
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