IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i24p16542-d998348.html
   My bibliography  Save this article

Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation

Author

Listed:
  • Yongling Zhang

    (School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China)

  • Miao Zhou

    (School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China)

  • Nana Kong

    (School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China)

  • Xin Li

    (School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China)

  • Xiaobing Zhou

    (School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China)

Abstract

The evaluation of emergency response capability under different pluvial flooding scenarios is an essential approach to improve the emergency response capability of flood disasters. A new evaluation method of emergency response capacity of urban public services is proposed based on urban pluvial flooding scenario simulation. Firstly, inundation area and depth under different pluvial flooding scenarios are simulated based on the SCS-CN model. Following that, space densities of all indicators include inundation area and depth, road network and the emergency public service institutions. Then, the indicator weight is determined by the combined weighting method of entropy weight and coefficient of variation. Finally, the emergency response capacity index (of each pixel) is calculated based on the graph stacking method. Taking Erqi District, Zhengzhou City as an example, the emergency response capacity of public service under different urban flooding scenarios is evaluated. The results show that the spatial distribution difference of public service emergency response capacity in Erqi District, Zhengzhou City is obvious, and with the increase of the precipitation return period, the high value area of public service emergency response capability decreases gradually and the low value area increases gradually. This method takes into account the specific urban flooding scenario and the layout of public service institutions and road networks that have strong practicability. the results of the evaluation can provide a reference for the construction of urban flood emergency response capacity and provide support for emergency decision-making.

Suggested Citation

  • Yongling Zhang & Miao Zhou & Nana Kong & Xin Li & Xiaobing Zhou, 2022. "Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16542-:d:998348
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/24/16542/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/24/16542/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yue Lai & Yiyun Lu & Tingting Ding & Huiyi Sun & Xuanying Li & Xiaoyu Ge, 2022. "Effects of Low-Impact Development Facilities (Water Systems of the Park) on Stormwater Runoff in Shallow Mountainous Areas Based on Dual-Model (SWMM and MIKE21) Simulations," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    2. Xianghai Li & Mengjie Li & Kaikai Cui & Tao Lu & Yanli Xie & Delin Liu, 2022. "Evaluation of Comprehensive Emergency Capacity to Urban Flood Disaster: An Example from Zhengzhou City in Henan Province, China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    3. Lin Lin & Zening Wu & Qiuhua Liang, 2019. "Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework," 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. 97(2), pages 455-475, June.
    4. Slobodan Simonovic & Sajjad Ahmad, 2005. "Computer-based Model for Flood Evacuation Emergency Planning," 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. 34(1), pages 25-51, January.
    5. Weijiang Li & Bo Xu & Jiahong Wen, 2016. "Scenario-based community flood risk assessment: a case study of Taining county town, Fujian province, 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. 82(1), pages 193-208, May.
    6. Huiquan Wang & Hong Ye & Lu Liu & Jixia Li, 2022. "Evaluation and Obstacle Analysis of Emergency Response Capability in China," IJERPH, MDPI, vol. 19(16), pages 1-25, August.
    7. Jie Yin & Yameng Jing & Dapeng Yu & Mingwu Ye & Yuhan Yang & Banggu Liao, 2019. "A Vulnerability Assessment of Urban Emergency in Schools of Shanghai," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    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. Hongbin Shi & Miao Zhou & Nana Kong & Yongling Zhang & Xin Li, 2023. "A Study on the Accessibility of the Emergency Medical Services for Urban Kindergartens and Nursing Homes Based on Urban Pluvial Flooding Scenarios," Sustainability, MDPI, vol. 15(13), pages 1-12, July.
    2. Juan Francisco Sortino Barrionuevo & Hugo Castro Noblejas & Matías Francisco Mérida Rodríguez, 2024. "Mapping Tools for Flood Risk Rescue and Assistance Management," Land, MDPI, vol. 13(1), pages 1-25, January.

    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. Hongbin Shi & Miao Zhou & Nana Kong & Yongling Zhang & Xin Li, 2023. "A Study on the Accessibility of the Emergency Medical Services for Urban Kindergartens and Nursing Homes Based on Urban Pluvial Flooding Scenarios," Sustainability, MDPI, vol. 15(13), pages 1-12, July.
    2. Sajjad Ahmad & Slobodan Simonovic, 2006. "An Intelligent Decision Support System for Management of Floods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(3), pages 391-410, June.
    3. Ke Zhang & Jae Eun Lee, 2024. "Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process," Sustainability, MDPI, vol. 16(10), pages 1-18, May.
    4. Zhenqiang Wang & Gaofeng Jia, 2021. "A novel agent-based model for tsunami evacuation simulation and risk assessment," 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. 105(2), pages 2045-2071, January.
    5. Jin‐Feng Wang & Lian‐Fa Li, 2008. "Improving Tsunami Warning Systems with Remote Sensing and Geographical Information System Input," Risk Analysis, John Wiley & Sons, vol. 28(6), pages 1653-1668, December.
    6. Lu Liu & Jingjing Pei & Huiquan Wang & Yun Luo, 2023. "The Evaluation and Obstacle Analysis of Urban Safety Resilience Based on Multi-Factor Perspective in Beijing," Land, MDPI, vol. 12(10), pages 1-29, October.
    7. Akiko Masuya & Ashraf Dewan & Robert Corner, 2015. "Population evacuation: evaluating spatial distribution of flood shelters and vulnerable residential units in Dhaka with geographic information systems," 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(3), pages 1859-1882, September.
    8. Anna Palla & Ilaria Gnecco, 2021. "The Web-GIS TRIG Eau Platform to Assess Urban Flood Mitigation by Domestic Rainwater Harvesting Systems in Two Residential Settlements in Italy," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    9. Guangyang Wu & Lanhai Li & Sajjad Ahmad & Xi Chen & Xiangliang Pan, 2013. "A Dynamic Model for Vulnerability Assessment of Regional Water Resources in Arid Areas: A Case Study of Bayingolin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3085-3101, June.
    10. S. Mosquera-Machado & Sajjad Ahmad, 2007. "Flood hazard assessment of Atrato River in Colombia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(3), pages 591-609, March.
    11. Rita Tufano & Luigi Guerriero & Mariagiulia Annibali Corona & Giuseppe Cianflone & Diego Di Martire & Fabio Ietto & Alessandro Novellino & Concetta Rispoli & Claudia Zito & Domenico Calcaterra, 2023. "Multiscenario flood hazard assessment using probabilistic runoff hydrograph estimation and 2D hydrodynamic modelling," 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. 116(1), pages 1029-1051, March.
    12. Bowen Guo & Wei Zhan, 2023. "Research on Integrated Scheduling of Multi-Mode Emergency Rescue for Flooding in Chemical Parks," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    13. Feifeng Cao & Huangyuan Wang & Conglin Zhang & Weibo Kong, 2023. "Social Vulnerability Evaluation of Natural Disasters and Its Spatiotemporal Evolution in Zhejiang Province, China," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    14. Gabriela Reis & Francisco Assis Souza Filho & Donald Robert Nelson & Renan Vieira Rocha & Samiria Maria Oliveira Silva, 2020. "Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, 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. 104(2), pages 1781-1799, November.
    15. S. Jonkman & J. Vrijling & A. Vrouwenvelder, 2008. "Methods for the estimation of loss of life due to floods: a literature review and a proposal for a new method," 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. 46(3), pages 353-389, September.
    16. Ramesh Teegavarapu & Slobodan Simonovic, 2014. "Simulation of Multiple Hydropower Reservoir Operations Using System Dynamics Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1937-1958, May.
    17. Deepak Singh Bisht & Chandranath Chatterjee & Shivani Kalakoti & Pawan Upadhyay & Manaswinee Sahoo & Ambarnil Panda, 2016. "Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study," 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(2), pages 749-776, November.
    18. I. Alberico & P. Petrosino & G. Maglione & L. Bruno & F. Capaldo & A. Dal Piaz & L. Lirer & S. Mazzola, 2012. "Mapping the vulnerability for evacuation of the Campi Flegrei territorial system in case of a volcanic unrest," 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. 64(2), pages 1823-1854, November.
    19. Raymond Seyeram Nkonu & Mary Antwi & Mark Amo-Boateng & Benjamin Wullobayi Dekongmen, 2023. "GIS-based multi-criteria analytical hierarchy process modelling for urban flood vulnerability analysis, Accra Metropolis," 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(2), pages 1541-1568, June.
    20. Sajjad Ahmad & Dinesh Prashar, 2010. "Evaluating Municipal Water Conservation Policies Using a Dynamic Simulation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3371-3395, October.

    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:19:y:2022:i:24:p:16542-:d:998348. 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.