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Spatial Zoning of Dry-Hot Wind Disasters in Shandong Province

Author

Listed:
  • Nan Wang

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Xiaoping Xue

    (Key Laboratory for Meteorological Disaster Prevention and Mitigation of Shandong, Jinan 250000, China
    Shandong Provincial Climate Center, Jinan 250000, China)

  • Lijuan Zhang

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Yue Chu

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Meiyi Jiang

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Yumeng Wang

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Yiping Yang

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Xihui Guo

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Yufeng Zhao

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Enbo Zhao

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

Abstract

As a major agricultural province of China, Shandong province has long ranked first in agricultural growth value among all of the provinces; at the same time, it is also the province that is most affected by dry-hot wind. Therefore, it is of great significance to study the spatial zoning of the risks of dry-hot wind in this province. Based on meteorological, slope, and altitude data, and the principle of disaster risk assessment, this study uses a weighted comprehensive evaluation method, analytic hierarchy process, and ARC-GIS spatial analysis to study the spatial zoning of the risks of dry-hot wind in Shandong province. The results show that the high-risk regions of dry-hot wind are concentrated in the north-central portion of the province, the medium-risk regions are in the peripheral areas, and the low-risk regions are located mainly in the west, southwest, and east. Exposure of disaster-bearing bodies is high in the south and low in the north, while vulnerability to disaster-bearing bodies is high in the west and low in the east. The more developed areas in the east show high disaster prevention and mitigation capability, whereas this is weak in the west. In summary, dry-hot wind risk in Shandong province varies significantly by area. The medium- and high-risk areas are mainly in the west and central portions of the province.

Suggested Citation

  • Nan Wang & Xiaoping Xue & Lijuan Zhang & Yue Chu & Meiyi Jiang & Yumeng Wang & Yiping Yang & Xihui Guo & Yufeng Zhao & Enbo Zhao, 2022. "Spatial Zoning of Dry-Hot Wind Disasters in Shandong Province," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3904-:d:779843
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    References listed on IDEAS

    as
    1. Beynon, Malcolm, 2002. "An analysis of distributions of priority values from alternative comparison scales within AHP," European Journal of Operational Research, Elsevier, vol. 140(1), pages 104-117, July.
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