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GIS and remote sensing-based spatiotemporal analysis of cumulative flood risk over Bangladesh’s national highways

Author

Listed:
  • Kashfia Nowrin Choudhury

    (University of Tsukuba)

  • Helmut Yabar

    (University of Tsukuba)

  • Takeshi Mizunoya

    (University of Tsukuba)

Abstract

The national highways (NHs) play a significant role in the economy of Bangladesh. However, natural disasters, especially floods, interrupt the traffic flow almost annually affecting the sustainable growth of the economy. Therefore, understanding the extent and patterns of historical flood risk over the NHs is important to identify the most affected areas. The study combined remote sensing and GIS to map the flooding risks over the NHs. To conduct the analysis this study selected flood events with over 100 deaths from the past 20 years. The results identified not only the NH location but the affected lengths as well. With further analysis, it was obvious that a single impact of the flood may appear insignificant, but the cumulative risk is severe. The study area received a cumulative risk of 1400 km and the average flood affected approximately 200 km of the area. Five NHs (i.e. N1, N5, N6, N7, and N8) received a cumulative risk of over 200 km from seven floods. The 2007 July to October flood affected 15% of the study area and reached the highest risk in this study. A similar pattern of risk was also noticed over five NHs (i.e. N3, N4, N6, N7, and N8) multiple times. Further investigation of similarly affected road locations created an opportunity to address repeated impacts. The results of this study can contribute to the establishment of a reliable historical database that identifies the most flood-affected roads with specific lengths and locations for further decision-making regarding relevant flood mitigation policy formulation.

Suggested Citation

  • Kashfia Nowrin Choudhury & Helmut Yabar & Takeshi Mizunoya, 2022. "GIS and remote sensing-based spatiotemporal analysis of cumulative flood risk over Bangladesh’s national highways," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 335-364, February.
    • Handle: RePEc:spr:apjors:v:6:y:2022:i:1:d:10.1007_s41685-021-00216-5
    DOI: 10.1007/s41685-021-00216-5
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    References listed on IDEAS

    as
    1. Joy Sanyal & X. Lu, 2004. "Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review," 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. 33(2), pages 283-301, October.
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    Cited by:

    1. Yoshiro Higano & Akihiro Otsuka, 2022. "Special Feature on Regional Sustainability: analysis in a spatial and regional context with broad perspectives on the risk of global warming, natural disasters, and emerging issues due to the globaliz," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 239-245, February.

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    More about this item

    Keywords

    National highways; Flood; Bangladesh; GIS; MODIS;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • Y91 - Miscellaneous Categories - - Other - - - Pictures and Maps

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