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Risk assessment of shanghai extreme flooding under the land use change scenario

Author

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  • Xinmeng Shan

    (East China Normal University
    East China Normal University)

  • Jie Yin

    (East China Normal University
    East China Normal University)

  • Jun Wang

    (East China Normal University
    East China Normal University)

Abstract

Environmental changes have led to non-stationary flood risks in coastal cities. How to quantitatively characterize the future change trend and effectively adapt is a critical problem that needs urgent attention. To this end, this study uses the 2010 Shanghai land use data as the base and utilizes the future land use simulation (FLUS) model to simulate future land use change scenarios (2030, 2050, and 2100). Based on the results of storm and flood numerical simulations, probabilistic risk, and other multidisciplinary methods, extreme storm and flood risks of various land uses (residential, commercial and public service, industrial, transportation, agricultural, and other land) in Shanghai are analyzed. Our findings demonstrate that the future land use simulated results show that the simulation accuracy is very high, meeting the needs of our research. We evaluated future land use exposure assets and losses and found that their spatial distribution patterns are consistent, ranging from a sporadic distribution for 1/10-year to a banded distribution for 1/1000-year under the two emission scenarios. In terms of economic loss, the losses of total land use in Shanghai for 1/1000-year in 2100 are 1.8–2.7 times that of 2010 under the RCP8.5 scenario. The expected annual damage (EAD) of Shanghai’s land use in 2030, 2050, and 2100 is 189.9 million CNY, 409.8 million CNY, and 743.5 million CNY under the RCP8.5 scenario, respectively, which is 1.7–3.0 times the EAD under the RCP2.6 scenario. Among them, residential, commercial and public service land as well as industrial land has the highest EAD. Risks are mainly distributed in the city center, the lower reaches of the Huangpu River, the northern shore of Hangzhou Bay, the Qingpu (QP)–Songjiang (SJ) depression in the southwest, and Chongming (CM) Island (southwest and northeast). Our work can provide meaningful information for risk-sensitive urban planning and resilience building in Shanghai. These multidisciplinary methods can also be applied to assess flood risk in other coastal cities.

Suggested Citation

  • Xinmeng Shan & Jie Yin & Jun Wang, 2022. "Risk assessment of shanghai extreme flooding under the land use change scenario," 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 1039-1060, January.
    • Handle: RePEc:spr:nathaz:v:110:y:2022:i:2:d:10.1007_s11069-021-04978-1
    DOI: 10.1007/s11069-021-04978-1
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    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. Du, Hongyan & Ma, Yongkai & An, Yunbi, 2011. "The impact of land policy on the relation between housing and land prices: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(1), pages 19-27, February.
    3. Stephane Hallegatte & Colin Green & Robert J. Nicholls & Jan Corfee-Morlot, 2013. "Future flood losses in major coastal cities," Nature Climate Change, Nature, vol. 3(9), pages 802-806, September.
    4. Jochen Hinkel & Jeroen C. J. H. Aerts & Sally Brown & Jose A. Jiménez & Daniel Lincke & Robert J. Nicholls & Paolo Scussolini & Agustín Sanchez-Arcilla & Athanasios Vafeidis & Kwasi Appeaning Addo, 2018. "The ability of societies to adapt to twenty-first-century sea-level rise," Nature Climate Change, Nature, vol. 8(7), pages 570-578, July.
    5. Brenden Jongman, 2018. "Effective adaptation to rising flood risk," Nature Communications, Nature, vol. 9(1), pages 1-3, December.
    6. Le-Minh Ngo & Le Thi Kieu & Hai-Yen Hoang & Hai-Binh Nguyen, 2020. "Experiences of Housing Adapted to Sea Level Rise and Applicability for Houses in the Can Gio District, Ho Chi Minh City, Vietnam," Sustainability, MDPI, vol. 12(9), pages 1-14, May.
    7. Hessel C. Winsemius & Jeroen C. J. H. Aerts & Ludovicus P. H. van Beek & Marc F. P. Bierkens & Arno Bouwman & Brenden Jongman & Jaap C. J. Kwadijk & Willem Ligtvoet & Paul L. Lucas & Detlef P. van Vuu, 2016. "Global drivers of future river flood risk," Nature Climate Change, Nature, vol. 6(4), pages 381-385, April.
    8. P. Ward & M. Marfai & F. Yulianto & D. Hizbaron & J. Aerts, 2011. "Coastal inundation and damage exposure estimation: a case study for Jakarta," 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 899-916, March.
    9. Robert J. Nicholls & Susan E. Hanson & Jason A. Lowe & Richard A. Warrick & Xianfu Lu & Antony J. Long, 2014. "Sea‐level scenarios for evaluating coastal impacts," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 5(1), pages 129-150, January.
    10. Robert Pontius & Wideke Boersma & Jean-Christophe Castella & Keith Clarke & Ton Nijs & Charles Dietzel & Zengqiang Duan & Eric Fotsing & Noah Goldstein & Kasper Kok & Eric Koomen & Christopher Lippitt, 2008. "Comparing the input, output, and validation maps for several models of land change," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 11-37, March.
    11. Jochen Hinkel & Carlo Jaeger & Robert J. Nicholls & Jason Lowe & Ortwin Renn & Shi Peijun, 2015. "Sea-level rise scenarios and coastal risk management," Nature Climate Change, Nature, vol. 5(3), pages 188-190, March.
    12. 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.
    13. Jun Wang & Wei Gao & Shiyuan Xu & Lizhong Yu, 2012. "Evaluation of the combined risk of sea level rise, land subsidence, and storm surges on the coastal areas of Shanghai, China," Climatic Change, Springer, vol. 115(3), pages 537-558, December.
    14. Xinmeng Shan & Jiahong Wen & Min Zhang & Luyang Wang & Qian Ke & Weijiang Li & Shiqiang Du & Yong Shi & Kun Chen & Banggu Liao & Xiande Li & Hui Xu, 2019. "Scenario-Based Extreme Flood Risk of Residential Buildings and Household Properties in Shanghai," Sustainability, MDPI, vol. 11(11), pages 1-18, June.
    15. Michalis I. Vousdoukas & Lorenzo Mentaschi & Evangelos Voukouvalas & Martin Verlaan & Svetlana Jevrejeva & Luke P. Jackson & Luc Feyen, 2018. "Global probabilistic projections of extreme sea levels show intensification of coastal flood hazard," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
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    Cited by:

    1. Fang Wei & Lvwang Zhao, 2022. "The Effect of Flood Risk on Residential Land Prices," Land, MDPI, vol. 11(10), pages 1-18, September.

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