基于时空分布特征的地质灾害气象预警预报模型研究
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1.吉林省突发事件预警信息发布中心;2.吉林省气象探测保障中心吉林省气象仪器计量检定站

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P642

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中国气象局创新发展专项(CXFZ2022J007);环渤海区域科技协同创新(QYXM202209)


Research on Geological Disaster Meteorological Warning and Forecasting Model Based on Geological Temporal and Spatial Distribution Characteristics
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    摘要:

    为有效分析气象灾害情况,降低地质灾害风险,以吉林地区近年来地质灾害数据为基础,分析该地区时间与空间分布特征。同时,结合对研究区域致灾因素的关系分析,采用层次分析法构建研究地区地质灾害气象预警预报模型,实现对该地区地质灾害的预警。经过分析,地区降雨、人类活动、风化厚度是引起地质灾害的主要因素之一。在降雨量较高的灾害预测分析中,当降雨量为200mm时,研究模型、综合指数法、模糊数学法灾害数分别为321处、185处、177处,研究模型更接实际的310处,可见其预测准确性更高。对研究地区灾害情况进行进一步分析,地区2与地区6具有较高的滑坡风险,两个地区预测滑坡数均超过20处,需要做好地质风险处理。研究内容将为地质灾害频发地区提供有效的灾害评估与预警。

    Abstract:

    To effectively analyze the situation of meteorological disasters and reduce the risk of geological disasters, based on recent geological disaster data in Jilin region, analyze the temporal and spatial distribution characteristics of the region. At the same time, based on the analysis of the relationship between the disaster causing factors in the study area, the Analytic Hierarchy Process is used to construct a meteorological warning and prediction model for geological disasters in the study area, achieving early warning of geological disasters in the area. After analysis, regional rainfall, human activities, and weathering thickness are one of the main factors causing geological disasters. In the analysis of disaster prediction with higher rainfall, when the rainfall is 200mm, the research model, comprehensive index method, and fuzzy mathematics method have 321, 185, and 177 disaster numbers, respectively. The research model is more realistic in 310 cases, indicating higher prediction accuracy. Further analysis of the disaster situation in the study area reveals that regions 2 and 6 have a higher landslide risk, with both regions predicting over 20 landslides. Therefore, geological risk management is necessary. The research content will provide effective disaster assessment and early warning for areas with frequent geological disasters.

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引用本文

曹满,王洋,陈曦,魏运芳,王传涛.基于时空分布特征的地质灾害气象预警预报模型研究计算机测量与控制[J].,2024,32(11):278-286.

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  • 收稿日期:2024-05-24
  • 最后修改日期:2024-06-18
  • 录用日期:2024-06-19
  • 在线发布日期: 2024-11-19
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