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A Multi-Decadal Spatial Analysis of Demographic Vulnerability to Urban Flood: A Case Study of Birmingham City, USA

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  • Mohammad Khalid Hossain

    (Department of Geosciences, Mississippi State University, Mississippi State, MS 39762, USA)

  • Qingmin Meng

    (Department of Geosciences, Mississippi State University, Mississippi State, MS 39762, USA)

Abstract

Flooding, including hurricanes and tornadoes, accounts for approximately 40 percent of natural disasters worldwide and kills 100 people on average in the United States each year, which is more than any other single weather hazard. Since flooding is a common hazard in the U.S. and flood-related casualties have been increasing in recent years, it is important to understand the spatial patterns of different vulnerable population groups in the flooding regions. To achieve this objective, spatial scan statistics were used to identify the spatial clusters of different demographic groups (children and elderly, poor, White, African American, and Hispanic) in the 100-year floodplain areas of Birmingham. Using the decennial census data from 1990 to 2015, this research examined whether these vulnerable population groups had aggregated more in the flooding areas or moved away from the flooding areas in the past thirty years. The findings of this research indicate that most of the minorities are increasingly aggregating in the floodplain areas of Village Creek in Birmingham. The findings also suggest that the non-minorities are moving away from the flooding regions in Birmingham, AL. As part of the minorities and non-minorities group, approximately 50 percent of African Americans and 4 percent of White populations aggregated in the Village Creek flooding areas in 2015. Although the percentage of White populations is very low, the findings suggest that they are still exposed to floods. The multi-decadal analysis of flood risk will help the local governments to understand which population groups could be more affected by floods historically and need more attention in future flood hazards. This understanding will help them prepare for future flood hazards by allocating resources efficiently among the different racial and ethnic groups.

Suggested Citation

  • Mohammad Khalid Hossain & Qingmin Meng, 2020. "A Multi-Decadal Spatial Analysis of Demographic Vulnerability to Urban Flood: A Case Study of Birmingham City, USA," Sustainability, MDPI, vol. 12(21), pages 1-32, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9139-:d:439434
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    References listed on IDEAS

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    1. Hossain, Mohammad Khalid & Meng, Qingmin, 2020. "A fine-scale spatial analytics of the assessment and mapping of buildings and population at different risk levels of urban flood," Land Use Policy, Elsevier, vol. 99(C).
    2. Marilyn C. Montgomery & Jayajit Chakraborty, 2013. "Social Vulnerability to Coastal and Inland Flood Hazards: A Comparison of GIS-Based Spatial Interpolation Methods," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 4(3), pages 58-79, July.
    3. Sven Fuchs & Christine Ornetsmüller & Reinhold Totschnig, 2012. "Spatial scan statistics in vulnerability assessment: an application to mountain hazards," 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(3), pages 2129-2151, December.
    4. Khabat Khosravi & Ebrahim Nohani & Edris Maroufinia & Hamid Reza Pourghasemi, 2016. "A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making techn," 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. 83(2), pages 947-987, September.
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    Cited by:

    1. Denis Maragno & Carlo Federico dall’Omo & Gianfranco Pozzer & Francesco Musco, 2021. "Multi-Risk Climate Mapping for the Adaptation of the Venice Metropolitan Area," Sustainability, MDPI, vol. 13(3), pages 1-32, January.
    2. Meng, Qingmin, 2022. "A new simple method to test and map environmental inequality: Urban hazards disproportionately affect minorities," Land Use Policy, Elsevier, vol. 122(C).

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