首页|基于GIS的泰州市夏季气象灾害风险区划分析

基于GIS的泰州市夏季气象灾害风险区划分析

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利用泰州市1961-2012年逐日序列的历史气候资料与卫星遥感资料,综合考虑致灾因子、孕灾因子、承载体因子、防灾减灾因子,运用 Logistic模型与MudFit模式,重点研究泰州市夏季气象灾害风险,综合分析了不同区域的风险水平差异,并进行风险等级划分.结果表明:泰州市暴雨与高温灾害风险呈现出南高北低的格局,连阴雨的风险总体呈北高南低分布,大风灾害风险表现为海陵主城区、靖江市主城区等经济相对发达地区,灾害风险等级较高.
Analysis of theRisk Division of Meteorological Disasters in Summer in Taizhou City Based on the GIS
Based on the historical climate data and satellite remote sensing data of the daily sequence from 1961 to 2012 in Taizhou City,this paper comprehensively considers disaster-inducing factors,hazard-inducing factors,car-rier factors and disaster prevention and reduction factors,uses the Logistic model and the MudFit model to focus on meteorological disaster risks in summer in Taizhou City,makes a comprehensive analysis of the differences in risk levels in different regions and divides the risk level.The results show that the risk of heavy rain and high-temperature disasters in Taizhou City both presented a pattern of being high in its south and low in its north,the risk of continuous rain was generally high in its the north and low in its south,and the risk of strong wind disasters was in relatively economically-developed areas such as the main urban areas of Hailing and Jingjiang City with the relatively high disaster risk level.

Meteorological disaster riskLogistic modelDisaster-inducing factorEvaluation model

田鹏飞、包洋、蔡娜佳、邓孟珂

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江苏省气象局 江苏南京 210019

泰州市华云气象科技服务有限公司 江苏泰州 225300

泰州市气象局 江苏泰州 225300

气象灾害风险 Logistic模型 致灾因子 评价模型

2024

科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
年,卷(期):2024.22(12)
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