Change in Population Exposure to Future Tropical Cyclones in Northwest Pacific

被引:1
作者
Qin, Lianjie [1 ,2 ,3 ,4 ,5 ]
Liao, Xinli [1 ,2 ,3 ,4 ,5 ]
Xu, Wei [1 ,2 ,3 ,4 ,5 ]
Meng, Chenna [1 ,2 ,3 ,4 ,5 ]
Zhai, Guangran [1 ,2 ,3 ,4 ,5 ]
机构
[1] Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Minist Educ, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Minist Emergency Management, Beijing 100875, Peoples R China
[4] Beijing Normal Univ, Minist Educ, Beijing 100875, Peoples R China
[5] Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
tropical cyclone; population exposure; contribution rate; Northwest Pacific; LIFETIME MAXIMUM INTENSITY; POLEWARD MIGRATION; PRECIPITATION; RAINFALL; WIND; PROFILES; PRESSURE; LOCATION; LOSSES; MODEL;
D O I
10.3390/atmos14010069
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The impact of tropical cyclones is expected to worsen with continued global warming and socioeconomic development. Quantifying population exposure to strong winds and heavy rainfall induced by tropical cyclones is a core element of tropical cyclone population risk assessment. Based on the demographic dataset of Shared Socioeconomic Pathways and future tropical cyclone data, we first calculate and analyze the changes in impact frequency and population exposure to four tropical cyclone scenarios in the Northwest Pacific over the period 2015-2050. Then, we quantitatively assess the contribution rates of climate change, population change, and their joint change to population exposure change. The results show that East China, South China, and Southeast China are the areas with high exposure change. Additionally, most of the high exposure changes (absolute changes over 400,000 people) are significant, and primarily influenced by the changes in local population growth. Overall, exposure change in the Northwest Pacific is mainly influenced by climate change, followed by population change and joint change.
引用
收藏
页数:18
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