IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5523-d392272.html
   My bibliography  Save this article

Risk Assessment of Urban Rainstorm Disaster Based on Multi-Layer Weighted Principal Component Analysis: A Case Study of Nanjing, China

Author

Listed:
  • Junfei Chen

    (Business School, Hohai University, Nanjing 211100, China
    Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, China
    Research Institute of Jiangsu Yangtze River Conservation and High-Quality Development, Nanjing 210098, China)

  • Juan Ji

    (Business School, Hohai University, Nanjing 211100, China)

  • Huimin Wang

    (Business School, Hohai University, Nanjing 211100, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Menghua Deng

    (Business School, Hohai University, Nanjing 211100, China)

  • Cong Yu

    (Business School, Hohai University, Nanjing 211100, China)

Abstract

Nanjing city is taken as a case in this urban rainstorm disaster risk research. Using the data of meteorology and social-economy statistics of Nanjing area, the paper selected ten indicators to establish the risk assessment system of urban rainstorm disaster from the aspects of the vulnerability of hazard-affected body, the fragility of disaster-pregnant environment, and the danger of hazard factors. Multi-layer weighted principal component analysis (MLWPCA) is an extension of the principal component analysis (PCA). The MLWPCA is based on factor analysis for the division subsystem. Then the PCA is used to analyze the indicators in each subsystem and weighted to synthesize. ArcGIS is used to describe regional differences in the urban rainstorm disaster risk. Results show that the MLWPCA is more targeted and discriminatory than principal component analysis in the risk assessment of urban rainstorm disaster. Hazard-affected body and disaster-pregnant environment have greater impacts on the risk assessment of rainstorm disaster in Nanjing, but the influence of hazard factors is few. Spatially, there is a large gap in the rainstorm disaster risk in Nanjing. The areas with high-risk rainstorm disaster are mainly concentrated in the central part of Nanjing, and the areas with low-risk rainstorm disaster are in the south and north of the city.

Suggested Citation

  • Junfei Chen & Juan Ji & Huimin Wang & Menghua Deng & Cong Yu, 2020. "Risk Assessment of Urban Rainstorm Disaster Based on Multi-Layer Weighted Principal Component Analysis: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5523-:d:392272
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5523/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/15/5523/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nguyen Dang & Mukand Babel & Huynh Luong, 2011. "Evaluation of food risk parameters in the Day River Flood Diversion Area, Red River Delta, Vietnam," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(1), pages 169-194, January.
    2. Yi Ge & Wei Xu & Zhi-Hui Gu & Yu-Chao Zhang & Lei Chen, 2011. "Risk perception and hazard mitigation in the Yangtze River Delta region, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(3), pages 633-648, March.
    3. Gerardo Benito & Michel Lang & Mariano Barriendos & M. Llasat & Felix Francés & Taha Ouarda & Varyl Thorndycraft & Yehouda Enzel & Andras Bardossy & Denis Coeur & Bernard Bobée, 2004. "Use of Systematic, Palaeoflood and Historical Data for the Improvement of Flood Risk Estimation. Review of Scientific Methods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 31(3), pages 623-643, March.
    4. Peng Chen & Jiquan Zhang & Lifeng Zhang & Yingyue Sun, 2014. "Evaluation of Resident Evacuations in Urban Rainstorm Waterlogging Disasters Based on Scenario Simulation: Daoli District (Harbin, China) as an Example," IJERPH, MDPI, vol. 11(10), pages 1-17, September.
    5. Moumita Palchaudhuri & Sujata Biswas, 2016. "Application of AHP with GIS in drought risk assessment for Puruliya district, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 1905-1920, December.
    6. Minlan Shao & Zaiwu Gong & Xiaoxia Xu, 2014. "Risk assessment of rainstorm and flood disasters in China between 2004 and 2009 based on gray fixed weight cluster analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1025-1052, March.
    7. Xuan-hua Xu & Chun-hong Wang & Chen-guang Cai & Min Xue, 2015. "Evolution and coping research for flood disaster social stability risk based on the complex network," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(3), pages 1491-1500, July.
    8. Yenan Wu & Ping-an Zhong & Yu Zhang & Bin Xu & Biao Ma & Kun Yan, 2015. "Integrated flood risk assessment and zonation method: a case study in Huaihe River basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(1), pages 635-651, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Menghua Deng & Zhiqi Li & Feifei Tao, 2022. "Rainstorm Disaster Risk Assessment and Influence Factors Analysis in the Yangtze River Delta, China," IJERPH, MDPI, vol. 19(15), pages 1-16, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shanshan Hu & Xiangjun Cheng & Demin Zhou & Hong Zhang, 2017. "GIS-based flood risk assessment in suburban areas: a case study of the Fangshan District, Beijing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1525-1543, July.
    2. Jun Wang & Zhenlou Chen & Shiyuan Xu & Beibei Hu, 2013. "Medium-scale natural disaster risk scenario analysis: a case study of Pingyang County, Wenzhou, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 1205-1220, March.
    3. Sanjib Mondal & Pritam Ghosh & Pratima Rohatgi, 2023. "Village‐level livelihood security: A case study on a wasteland‐dominated forest fringe region of rural India," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(5), pages 1019-1036, June.
    4. Ebrahim Ahmadisharaf & Alfred J. Kalyanapu & Eun-Sung Chung, 2017. "Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed," Sustainability, MDPI, vol. 9(10), pages 1-15, September.
    5. Ping Ai & Dingbo Yuan & Chuansheng Xiong, 2018. "Copula-Based Joint Probability Analysis of Compound Floods from Rainstorm and Typhoon Surge: A Case Study of Jiangsu Coastal Areas, China," Sustainability, MDPI, vol. 10(7), pages 1-18, June.
    6. Dibyendu Samantaray & Chandranath Chatterjee & Rajendra Singh & Praveen Gupta & Sushma Panigrahy, 2015. "Flood risk modeling for optimal rice planning for delta region of Mahanadi river basin in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 347-372, March.
    7. Mohamed Kefi & Binaya Kumar Mishra & Yoshifumi Masago & Kensuke Fukushi, 2020. "Analysis of flood damage and influencing factors in urban catchments: case studies in Manila, Philippines, and Jakarta, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2461-2487, December.
    8. Francesco Serinaldi & Florian Loecker & Chris G. Kilsby & Hubert Bast, 2018. "Flood propagation and duration in large river basins: a data-driven analysis for reinsurance purposes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 71-92, October.
    9. Ibidun Adelekan & Adeniyi Asiyanbi, 2016. "Flood risk perception in flood-affected communities in Lagos, Nigeria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(1), pages 445-469, January.
    10. Pengyun Chong & Hui Yin & Chaofeng Wang & Pengcheng Wang & Linqing Li & Di Wu & Jingwei Li & Dong Ding, 2022. "Evaluation of Social Stability Risk of Adjusting Goods Vehicle Calculation Method Based on Optimal Combination Weighting—Cloud Model," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    11. Shang-Shu Shih & Sheng-Chi Yang & Huei-Tau Ouyang, 2014. "Anthropogenic effects and climate change threats on the flood diversion of Erchung Floodway in Tanshui River, northern Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1733-1747, September.
    12. Huafei Yu & Yaolong Zhao & Yingchun Fu, 2019. "Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China," IJERPH, MDPI, vol. 16(19), pages 1-28, September.
    13. Mel Oliveira Guirro & Gean Paulo Michel, 2023. "Hydrological and hydrodynamic reconstruction of a flood event in a poorly monitored basin: a case study in the Rolante River, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 723-743, May.
    14. Dang Luo & Wenxin Mao & Huifang Sun, 2017. "Risk assessment and analysis of ice disaster in Ning–Meng reach of Yellow River based on a two-phased intelligent model under grey information environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(1), pages 591-610, August.
    15. Huaibin Wei & Liyuan Zhang & Jing Liu, 2022. "Hydrodynamic Modelling and Flood Risk Analysis of Urban Catchments under Multiple Scenarios: A Case Study of Dongfeng Canal District, Zhengzhou," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    16. Meiling Zhou & Xiuli Feng & Kaikai Liu & Chi Zhang & Lijian Xie & Xiaohe Wu, 2021. "An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    17. Qianqian Zhou & Jiongheng Su & Guoyong Leng & Jian Peng, 2019. "The Role of Hazard and Vulnerability in Modulating Economic Damages of Inland Floods in the United States Using a Survey-Based Dataset," Sustainability, MDPI, vol. 11(13), pages 1-12, July.
    18. Hao Chen & Zongxue Xu & Yang Liu & Yixuan Huang & Fang Yang, 2022. "Urban Flood Risk Assessment Based on Dynamic Population Distribution and Fuzzy Comprehensive Evaluation," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    19. Yangfan Xiao & Shanzhen Yi & Zhongqian Tang, 2018. "A Spatially Explicit Multi-Criteria Analysis Method on Solving Spatial Heterogeneity Problems for Flood Hazard Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3317-3335, August.
    20. Ruiling Sun & Zaiwu Gong & Weiwei Guo & Ashfaq Ahmad Shah & Jie Wu & Haiying Xu, 2022. "Flood disaster risk assessment of and countermeasures toward Yangtze River Delta by considering index interaction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 475-500, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5523-:d:392272. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.