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Examining the impact of land use/land cover characteristics on flood losses

Author

Listed:
  • Samuel Brody
  • Russell Blessing
  • Antonia Sebastian
  • Philip Bedient

Abstract

Characteristics of the built environment and overall local-level land use patterns are increasingly being attributed to greater surface runoff, flooding and resulting economic losses from flood events. Specific configurations of impervious surfaces and land cover may be as important to determining a community's flood risk as baseline environmental conditions. This study addresses this issue by statistically examining the impacts of adjacent land use and land cover (LULC) on flood damage recorded on parcels within a coastal watershed in southeast Texas. We analyse empirical models to identify the influence of different LULCs surrounding over 7900 properties claiming insured flood losses from 1999-2009. Results indicate that specific types of surrounding LULCs impact observed flood losses and provide guidance on how neighbourhoods can be developed more resiliently over the long term.

Suggested Citation

  • Samuel Brody & Russell Blessing & Antonia Sebastian & Philip Bedient, 2014. "Examining the impact of land use/land cover characteristics on flood losses," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 57(8), pages 1252-1265, August.
    • Handle: RePEc:taf:jenpmg:v:57:y:2014:i:8:p:1252-1265
    DOI: 10.1080/09640568.2013.802228
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    Cited by:

    1. Yi Chen & Zhicong Ye & Hui Liu & Ruishan Chen & Zhenhuan Liu & Hui Liu, 2021. "A GIS-Based Approach for Flood Risk Zoning by Combining Social Vulnerability and Flood Susceptibility: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    2. Jenna Tyler & Abdul-Akeem Sadiq & Douglas S. Noonan, 2019. "A review of the community flood risk management literature in the USA: lessons for improving community resilience to floods," 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. 96(3), pages 1223-1248, April.
    3. Hye Kyung Lee, 2020. "A panel data analysis of a spatial measurement of green infrastructure and its potential effectiveness on peak streamflow," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 469-500, January.
    4. Gaurav Tripathi & Arvind Chandra Pandey & Bikash Ranjan Parida & Amit Kumar, 2020. "Flood Inundation Mapping and Impact Assessment Using Multi-Temporal Optical and SAR Satellite Data: a Case Study of 2017 Flood in Darbhanga District, Bihar, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1871-1892, April.
    5. Lee, Yoonjeong & Brody, Samuel D., 2018. "Examining the impact of land use on flood losses in Seoul, Korea," Land Use Policy, Elsevier, vol. 70(C), pages 500-509.
    6. Welsch, David M. & Winden, Matthew W. & Zimmer, David M., 2022. "The effect of flood mitigation spending on flood damage: Accounting for dynamic feedback," Ecological Economics, Elsevier, vol. 192(C).
    7. Rajeev Ranjan & Pankaj R. Dhote & Praveen K. Thakur & Shiv P. Aggarwal, 2022. "Investigation of basin characteristics: Implications for sub-basin-level vulnerability to flood peak generation," 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(3), pages 2797-2829, July.

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