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Risk Assessment of Flood Disasters in Hechi City Based on GIS

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Human Centered Computing (HCC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12634))

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Abstract

Flood disasters are one of the meteorological disasters that occur frequently and cause heavy losses. Hechi City is located in a low-latitude zone with a typical subtropical monsoon climate. Water resources are unevenly distributed in time and space, and floods often occur. The flood risk assessment of Hechi City has strong practical significance. This paper collects three phases of remote sensing image data and many years of meteorological and attribute data, builds a flood disaster risk assessment model based on the flood formation mechanism, uses Analytic Hierarchy Process (AHP) to determine the weight of each index factor, and calculates each evaluation index data with GIS technology Analyze, through the GIS spatial analysis function, superimpose the analysis results of flood hazard, disaster-generating environment sensitivity, and disaster-bearing body vulnerability in Hechi City to obtain the comprehensive risk distribution of flood disaster in Hechi City, showing Hechi City The flood disaster risk of the northeast region and the southwest region is gradually reduced to the central region. It is necessary to strengthen the actual disaster prevention and mitigation work in high-risk areas in the northeast region.

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Acknowledgments

This work was funded by Guangxi Natural Science Foundation Program (2018GXNSFAA281279).

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Correspondence to Min Yin .

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Yin, M., Wei, C., Jing, J., Huang, X. (2021). Risk Assessment of Flood Disasters in Hechi City Based on GIS. In: Zu, Q., Tang, Y., Mladenović, V. (eds) Human Centered Computing. HCC 2020. Lecture Notes in Computer Science(), vol 12634. Springer, Cham. https://doi.org/10.1007/978-3-030-70626-5_20

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  • DOI: https://doi.org/10.1007/978-3-030-70626-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70625-8

  • Online ISBN: 978-3-030-70626-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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