IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i1p407-d305202.html
   My bibliography  Save this article

Daily Precipitation Threshold for Rainstorm and Flood Disaster in the Mainland of China: An Economic Loss Perspective

Author

Listed:
  • Wenhui Liu

    (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Jidong Wu

    (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Rumei Tang

    (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Mengqi Ye

    (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Jing Yang

    (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

Abstract

Exploring precipitation threshold from an economic loss perspective is critical for rainstorm and flood disaster risk assessment under climate change. Based on the daily gridded precipitation dataset and direct economic losses (DELs) of rainstorm and flood disasters in the mainland of China, this paper first filtered a relatively reasonable disaster-triggering daily precipitation threshold (DDPT) combination according to the relationship between extreme precipitation days and direct economic loss (DEL) rates at province level and then comprehensively analyzed the spatial landscape of DDPT across China. The results show that (1) the daily precipitation determined by the combination of a 10 mm fixed threshold and 99.3th percentile is recognized as the optimal DDPT of rainstorm and flood disasters, and the correlation coefficient between annual extreme precipitation days and DEL rates reached 0.45 ( p < 0.01). (2) The optimal DDPT decreases from southeast (up to 87 mm) to northwest (10 mm) across China, and the DDPTs of 7 out of 31 provinces are lower than 25 mm, while 5 provinces are higher than 50 mm on average. These results suggest that DDPTs exist with large spatial heterogeneity across China, and adopting regional differentiated DDPT is helpful for conducting effective disaster risk analysis.

Suggested Citation

  • Wenhui Liu & Jidong Wu & Rumei Tang & Mengqi Ye & Jing Yang, 2020. "Daily Precipitation Threshold for Rainstorm and Flood Disaster in the Mainland of China: An Economic Loss Perspective," Sustainability, MDPI, vol. 12(1), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:1:p:407-:d:305202
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/1/407/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/1/407/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jidong Wu & Mengqi Ye & Xu Wang & Elco Koks, 2019. "Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    2. Jidong Wu & Ying Li & Ning Li & Peijun Shi, 2018. "Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 17-30, January.
    3. Jing Liu & Thomas Hertel & Noah Diffenbaugh & Michael Delgado & Moetasim Ashfaq, 2015. "Future property damage from flooding: sensitivities to economy and climate change," Climatic Change, Springer, vol. 132(4), pages 741-749, October.
    4. Christoph Schär & Nikolina Ban & Erich M. Fischer & Jan Rajczak & Jürg Schmidli & Christoph Frei & Filippo Giorgi & Thomas R. Karl & Elizabeth J. Kendon & Albert M. G. Klein Tank & Paul A. O’Gorman & , 2016. "Percentile indices for assessing changes in heavy precipitation events," Climatic Change, Springer, vol. 137(1), pages 201-216, July.
    5. V. Kharin & F. Zwiers & X. Zhang & M. Wehner, 2013. "Changes in temperature and precipitation extremes in the CMIP5 ensemble," Climatic Change, Springer, vol. 119(2), pages 345-357, July.
    6. Brenden Jongman & Stefan Hochrainer-Stigler & Luc Feyen & Jeroen C. J. H. Aerts & Reinhard Mechler & W. J. Wouter Botzen & Laurens M. Bouwer & Georg Pflug & Rodrigo Rojas & Philip J. Ward, 2014. "Increasing stress on disaster-risk finance due to large floods," Nature Climate Change, Nature, vol. 4(4), pages 264-268, April.
    7. WU, Jidong & LI, Ning & SHI, Peijun, 2014. "Benchmark wealth capital stock estimations across China's 344 prefectures: 1978 to 2012," China Economic Review, Elsevier, vol. 31(C), pages 288-302.
    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. Jiayi Li & Zhiyan Cai & Yixuan Liu & Chengxiu Ling, 2022. "Extremal Analysis of Flooding Risk and Its Catastrophe Bond Pricing," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    2. Wan-Li Zhang & Chun-Ping Chang & Yang Xuan, 2022. "The impacts of climate change on bank performance: What’s the mediating role of natural disasters?," Economic Change and Restructuring, Springer, vol. 55(3), pages 1913-1952, August.
    3. Weihua Zhu & Kai Liu & Ming Wang & Sadhana Nirandjan & Elco E. Koks, 2023. "Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data," 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. 115(2), pages 1525-1548, January.
    4. Deliang Pang & Xinxin Zhang & Jian Zhang, 2024. "A Study to Assess the Performance of Disaster Management During the 2017 Yongji County Flood in China," Public Organization Review, Springer, vol. 24(3), pages 775-790, September.
    5. Liang Jia & Saini Yang & Weiping Wang & Xinlong Zhang, 2022. "Impact analysis of highways in China under future extreme precipitation," 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. 110(2), pages 1097-1113, 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. Jian Ma & Anirudh Rao & Vitor Silva & Kai Liu & Ming Wang, 2021. "A township-level exposure model of residential buildings for mainland 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. 108(1), pages 389-423, August.
    2. Jidong Wu & Ying Li & Ning Li & Peijun Shi, 2018. "Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 17-30, January.
    3. Jidong Wu & Mengqi Ye & Xu Wang & Elco Koks, 2019. "Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    4. Allan Beltrán & David Maddison & Robert J. R. Elliott, 2018. "Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2340-2367, November.
    5. Mook Bangalore & Andrew Smith & Ted Veldkamp, 2019. "Exposure to Floods, Climate Change, and Poverty in Vietnam," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 79-99, April.
    6. Bing-Chen Jhong & Jung Huang & Ching-Pin Tung, 2019. "Spatial Assessment of Climate Risk for Investigating Climate Adaptation Strategies by Evaluating Spatial-Temporal Variability of Extreme Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3377-3400, August.
    7. Belinda Storey & Sally Owen & Christian Zammit & Ilan Noy, 2024. "Insurance retreat in residential properties from future sea level rise in Aotearoa New Zealand," Climatic Change, Springer, vol. 177(3), pages 1-21, March.
    8. Diana R. Gergel & Bart Nijssen & John T. Abatzoglou & Dennis P. Lettenmaier & Matt R. Stumbaugh, 2017. "Effects of climate change on snowpack and fire potential in the western USA," Climatic Change, Springer, vol. 141(2), pages 287-299, March.
    9. Pinto, Bruno Chaves Morone & Fulginiti, Lilyan E. & Perrin, Richard K., 2022. "Tradeoff Between Irrigated Land Area And Counties’ Revenues In The High Plains Aquifer," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322391, Agricultural and Applied Economics Association.
    10. Guzmics Sándor & Pflug Georg Ch., 2020. "A new extreme value copula and new families of univariate distributions based on Freund’s exponential model," Dependence Modeling, De Gruyter, vol. 8(1), pages 330-360, January.
    11. Julien Boulange & Yukiko Hirabayashi & Masahiro Tanoue & Toshinori Yamada, 2023. "Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios," 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. 118(3), pages 1855-1879, September.
    12. Tovar Reaños, Miguel A., 2021. "Floods, flood policies and changes in welfare and inequality: Evidence from Germany," Ecological Economics, Elsevier, vol. 180(C).
    13. Syed Abu Shoaib & Mohammad Zaved Kaiser Khan & Nahid Sultana & Taufique H. Mahmood, 2021. "Quantifying Uncertainty in Food Security Modeling," Agriculture, MDPI, vol. 11(1), pages 1-16, January.
    14. Weili Duan & Bin He & Daniel Nover & Jingli Fan & Guishan Yang & Wen Chen & Huifang Meng & Chuanming Liu, 2016. "Floods and associated socioeconomic damages in China over the last century," 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 401-413, May.
    15. Tian Liu & Peijun Shi & Jian Fang, 2022. "Spatiotemporal variation in global floods with different affected areas and the contribution of influencing factors to flood-induced mortality (1985–2019)," 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. 111(3), pages 2601-2625, April.
    16. S. Surminski & J. Aerts & W. Botzen & P. Hudson & J. Mysiak & C. Pérez-Blanco, 2015. "Reflections on the current debate on how to link flood insurance and disaster risk reduction in the European Union," 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. 79(3), pages 1451-1479, December.
    17. Guoyong Leng & Qiuhong Tang & Shengzhi Huang & Xuejun Zhang, 2016. "Extreme hot summers in China in the CMIP5 climate models," Climatic Change, Springer, vol. 135(3), pages 669-681, April.
    18. Peng Ye, 2022. "Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges," IJERPH, MDPI, vol. 19(6), pages 1-28, March.
    19. Steven Koop & Cornelis Leeuwen, 2015. "Assessment of the Sustainability of Water Resources Management: A Critical Review of the City Blueprint Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5649-5670, December.
    20. Jorge Castillo-Mateo & Jesús Asín & Ana C. Cebrián & Jesús Mateo-Lázaro & Jesús Abaurrea, 2023. "Bayesian Variable Selection in Generalized Extreme Value Regression: Modeling Annual Maximum Temperature," Mathematics, MDPI, vol. 11(3), pages 1-19, February.

    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:jsusta:v:12:y:2020:i:1:p:407-:d:305202. 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.