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

被引:14
作者
Gao, Zhicheng [1 ]
Wan, Rongjin [1 ]
Ye, Qian [2 ]
Fan, Weiguo [3 ]
Guo, Shihui [2 ]
Ulgiati, Sergio [4 ,5 ]
Dong, Xiaobin [1 ,6 ,7 ]
机构
[1] Beijing Normal Univ, Sch Nat Resources Sci & Technol, Fac Geog Sci, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[3] North China Elect Power Univ, Dept Econ & Management, Baoding 071003, Hebei, Peoples R China
[4] Parthenope Univ, Dept Sci & Technol, I-80133 Naples, Italy
[5] Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
[6] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[7] Beijing Normal Univ, Joint Ctr Global Change & China Green Dev, Beijing 100875, Peoples R China
关键词
emergy method; risk assessment; typhoon disaster; TROPICAL CYCLONES; URBAN ECOSYSTEMS; RIVER DELTA; GEOBIOSPHERE; CITIES; SEA;
D O I
10.3390/su12104212
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] GIS-based risk assessment of grassland fire disaster in western Jilin province, China
    Tong Zhijun
    Zhang Jiquan
    Liu Xingpeng
    Stochastic Environmental Research and Risk Assessment, 2009, 23 : 463 - 471
  • [32] GIS-based risk assessment of grassland fire disaster in western Jilin province, China
    Tong Zhijun
    Zhang Jiquan
    Liu Xingpeng
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2009, 23 (04) : 463 - 471
  • [33] RISK ASSESSMENT OF MOUNTAIN TORRENTS DISASTER IN JIANGXI PROVINCE, CHINA BASED ON RANDOM FOREST ALGORITHM
    Fang Xiuqin
    Wu Xiaojun
    Zhou Chao
    Wu Taoying
    Du Xiaotong
    Wang Wei
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 9752 - 9755
  • [34] Multi-Hazard Meteorological Disaster Risk Assessment for Agriculture Based on Historical Disaster Data in Jilin Province, China
    Zhang, Jiawang
    Wang, Jianguo
    Chen, Shengbo
    Tang, Siqi
    Zhao, Wutao
    SUSTAINABILITY, 2022, 14 (12)
  • [35] Risk Assessment of Typhoon Disaster Chain Based on Knowledge Graph and Bayesian Network
    Lu, Yimin
    Qiao, Shiting
    Yao, Yiran
    SUSTAINABILITY, 2025, 17 (01)
  • [36] Risk assessment of water resources shortage in consideration of urbanization trends in Guangdong Province, China
    Yue, Wencong
    Dang, Zhi
    Su, Meirong
    Yang, Zhifeng
    PROCEEDINGS OF THE 2017 6TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2017), 2017, 143 : 177 - 180
  • [37] Research on numerical simulation of typhoon waves with different return periods in nearshore areas: case study of Guishan island Waters in Guangdong province, China
    Xianwu, Shi
    Shuxian, Zheng
    Qiang, Liu
    Jian, Fang
    Qiang, Chen
    Ning, Jia
    Shan, Liu
    Shuihua, Zhou
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 35 (09) : 1771 - 1781
  • [38] Research on numerical simulation of typhoon waves with different return periods in nearshore areas: case study of Guishan island Waters in Guangdong province, China
    Shi Xianwu
    Zheng Shuxian
    Liu Qiang
    Fang Jian
    Chen Qiang
    Jia Ning
    Liu Shan
    Zhou Shuihua
    Stochastic Environmental Research and Risk Assessment, 2021, 35 : 1771 - 1781
  • [39] Comprehensive Risk Assessment of High Temperature Disaster to Kiwifruit in Shaanxi Province, China
    Ma, Yining
    Guga, Suri
    Xu, Jie
    Zhang, Jiquan
    Tong, Zhijun
    Liu, Xingpeng
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (19)
  • [40] The Study on Risk Assessment of the Urban Fire Disaster in Qingdao City
    Zhang, Jiquan
    Wu, Qiaoyan
    Tong, Zhijun
    Liu, Xingpeng
    PROCEEDINGS OF THE FIRST SYMPOSIUM ON DISASTER RISK ANALYSIS AND MANAGEMENT IN CHINESE LITTORAL REGIONS, 2011, 18 : 337 - 345