Assessing Tropical Cyclone Risk in Australia Using Community Exposure-Vulnerability Indices

被引:3
|
作者
Berman, Kade [1 ,2 ]
Kuleshov, Yuriy [1 ,3 ]
机构
[1] Bur Meteorol, Sci & Innovat Grp, Climate Risk & Early Warning Syst CREWS, 700 Collins St, Melbourne, Vic 3008, Australia
[2] Monash Univ, Sci Adv Global Challenges Program, Clayton Campus,Wellington Rd, Melbourne, Vic 3800, Australia
[3] RMIT Univ, Royal Melbourne Inst Technol, Sch Sci, 124 La Trobe St, Melbourne, Vic 3000, Australia
关键词
tropical cyclone; risk assessment; exposure; vulnerability; Tropical Cyclone Debbie; natural hazard; PRINCIPAL COMPONENT ANALYSIS; SOCIAL VULNERABILITY; CLIMATE-CHANGE; DISASTER RISK; COASTAL VULNERABILITY; NATURAL HAZARDS; MANAGEMENT; IMPACT; URBANIZATION; SENSITIVITY;
D O I
10.3390/cli11120235
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Tropical cyclones (TCs) are one of the most destructive natural hazards to impact on Australia's population, infrastructure, and the environment. To examine potential TC impacts, it is important to understand which assets are exposed to the hazard and of these, which are vulnerable to damage. The aim of this study is to improve TC risk assessments through developing an exposure-vulnerability index, utilising a case study for the six Local Government Areas (LGAs) impacted by the landfall of TC Debbie in 2017: Burdekin Shire, Charters Towers Region, Isaac Region, Mackay Region, City of Townsville, and Whitsunday Region. This study utilised a natural hazard risk assessment methodology, linking exposure and vulnerability indicators related to social factors, infrastructure, and the environment. The two LGAs with the most extreme exposure-vulnerability values were the coastal regions of Mackay Region and the City of Townsville. This is consistent with urbanisation and city development trends, with these LGAs having more people (social) and infrastructure exposed, while the environmental domain was more exposed and vulnerable to TC impacts in rural LGAs. Therefore, further resilience protocols and mitigation strategies are required, particularly for Mackay Region and the City of Townsville, to reduce the damage and ultimate loss of lives and livelihoods from TC impacts. This study serves as a framework for developing a TC risk index based on hazard, exposure, and vulnerability indices, and insight into the improved mitigation strategies for communities to implement in order to build resilience to the impacts of future TCs.
引用
收藏
页数:32
相关论文
共 50 条
  • [21] Assessing vulnerability exploitability risk using software properties
    Younis, Awad
    Malaiya, Yashwant K.
    Ray, Indrajit
    SOFTWARE QUALITY JOURNAL, 2016, 24 (01) : 159 - 202
  • [22] Assessing future vulnerability and risk of humanitarian crises using climate change and population projections within the INFORM framework
    Marzi, Sepehr
    Mysiak, Jaroslav
    Essenfelder, Arthur H.
    Pal, Jeremy S.
    Vernaccini, Luca
    Mistry, Malcolm N.
    Alfieri, Lorenzo
    Poljansek, Karmen
    Marin-Ferrer, Montserrat
    Vousdoukas, Michalis
    GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2021, 71
  • [23] Assessing wildfire exposure and social vulnerability at the local scale using a GIS-based approach
    Goncalves, Ana
    Oliveira, Sandra
    Zezere, Jose Luis
    METHODSX, 2024, 12
  • [24] Assessment of drought risk index using drought hazard and vulnerability indices
    M. Nasrollahi
    H. Khosravi
    A. Moghaddamnia
    A. Malekian
    S. Shahid
    Arabian Journal of Geosciences, 2018, 11
  • [25] Assessment of drought risk index using drought hazard and vulnerability indices
    Nasrollahi, M.
    Khosravi, H.
    Moghaddamnia, A.
    Malekian, A.
    Shahid, S.
    ARABIAN JOURNAL OF GEOSCIENCES, 2018, 11 (20)
  • [26] Assessing dynamics of human vulnerability at community level - Using mobility data
    Xia, Chen
    Hu, Yuqing
    Chi, Guangqing
    Chen, Jianli
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2023, 96
  • [27] Assessing population exposure for landslide risk analysis using dasymetric cartography
    Garcia, Ricardo A. C.
    Oliveira, Sergio C.
    Zezere, Jose L.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2016, 16 (12) : 2769 - 2782
  • [28] A probabilistic track model for tropical cyclone risk assessment using multitask learning
    Jian, Zhou
    Liu, Xuan
    Zhao, Tianyang
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [29] Assessing the Risk of Extreme Storm Surges from Tropical Cyclones under Climate Change Using Bidirectional Attention-Based LSTM for Improved Prediction
    Ian, Vai-Kei
    Tang, Su-Kit
    Pau, Giovanni
    ATMOSPHERE, 2023, 14 (12)
  • [30] Assessing the spatiotemporal impact of users' exposure and vulnerability to flood risk in urban built environments
    Bernardini, Gabriele
    Ferreira, Tiago Miguel
    Julia, Pilar Baquedano
    Eudave, Rafael Ramirez
    Quagliarini, Enrico
    SUSTAINABLE CITIES AND SOCIETY, 2024, 100