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江苏新型城镇大风灾害危险性精细化评估

苗茜 项瑛 张雪蓉 杨杰 丁晔 段宏

气象科学2026,Vol.46Issue(4):385-393,9.
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气象科学2026,Vol.46Issue(4):385-393,9.DOI:10.12306/2025jms.0037

江苏新型城镇大风灾害危险性精细化评估

Refined hazard assessments of strong wind disasters at the new urbanizational county scale in Jiangsu Province

苗茜 1项瑛 1张雪蓉 1杨杰 1丁晔 2段宏3

作者信息

  • 1. 江苏省气候中心,南京 210041
  • 2. 盐城市气象局,江苏 盐城 224051
  • 3. 中国石油天然气第一建设有限公司,河南 关林 471023
  • 折叠

摘要

Abstract

The rapid urbanization of new-type urban areas in Jiangsu Province has introduced new challenges for the risk prevention and control of regional strong wind hazards.Taking Jianhu County as the study area,this study integrated meteorological records,historical strong wind documentation,and geographic information system data to develop a refined hazard assessment framework tailored for these emerging urban environments.The findings demonstrate that traditional intensity and frequency metrics with explicit disaster-severity levels markedly amplified the discrimination of town-level hazard indices.The established quantitative hazard assessment models,designed to reflect the systematic and localized nature of strong wind disasters,reliably delineate hazard boundaries for every town.By further incorporating site-specific environmental controls on extreme wind speeds-quantified through water-body distributions and digital surface models,the method successfully downscales hazard indices to individual villages.The refined assessments reveal that six villages located along the northern arc of Jianhu's southern boundary exhibit the highest hazard levels in relation to typhoon-induced strong winds.Quantitative analyses additionally highlight Shanggang Town in the eastern region stands out for its pronounced vulnerability to both tornado and cold wave gusts.

关键词

新型城镇/大风灾害/危险性评估/精细化评估

Key words

new-type urban/strong wind disaster/hazard assessment/refined assessment

分类

天文与地球科学

引用本文复制引用

苗茜,项瑛,张雪蓉,杨杰,丁晔,段宏..江苏新型城镇大风灾害危险性精细化评估[J].气象科学,2026,46(4):385-393,9.

基金项目

中国气象局气候变化专项(QBZ202404) (QBZ202404)

江苏省气象局面上项目(KM202102) (KM202102)

气象科学

1009-0827

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