个性化热应激预警系统,适用于城市地区
Kshitij Kacker1, Piyush Srivastava2, Mahua Mukherjee3
1Department of Architecture and Planning, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India.
Environment international
|May 6, 2025
概括
本研究引入了热应激风险指数预测 (HSRIF) 系统,以提供个性化的5天热应激风险评估. 该新系统使用通用热气候指数 (UTCI) 和特定用户数据来提高极端高温事件期间的公共健康.
科学领域:
- 环境健康 环境健康
- 气候科学 气候科学
- 公共卫生 公共卫生
背景情况:
- 在全球范围内,极端高温事件导致了显著的死亡率和发病率.
- 随着热应激风险的增加,需要有效的预警系统.
- 现有的系统往往缺乏针对热应激的个性化风险评估.
研究的目的:
- 开发一个热应激风险指数预测 (HSRIF) 系统,用于个性化的5天热应激风险预测.
- 为印度德里打造HSRIF系统的原型,利用高分辨率的气象数据.
- 创建一个基于通用热气候指数 (UTCI) 的新型预警系统.
主要方法:
- 利用天气研究和预报模型的城市天花板模型 (WRF-UCM) 来获得高分辨率 (333m) 的气象数据.
- 计算了通用热气候指数 (UTCI),并将其规范化为危险指数.
- 综合个性化的脆弱性和暴露指数,通过使用贝叶斯最佳-最差方法 (BBWM) 的专家意见进行细化.
主要成果:
- 开发了一个功能性的HSRIF系统,为5天提供定制的热应力风险值.
- 通过结合危险,脆弱性和暴露指数,展示了个性化热应激预测的新方法.
- 来自医疗和非医疗领域的综合专家见解,以完善脆弱性和暴露评估.
结论:
- 基于UTCI的HSRIF系统为减轻热应激风险提供了一个有前途的工具.
- 个性化早期预警系统对于公共卫生适应极端高温至关重要.
- HSRIF系统的交互式仪表板有助于用户了解个体的热应激暴露情况.
关键词:
BBWMM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM BBWM仪表板原型的原型热应激是一种热应激.个性化的早期预警系统.风险指数 风险指数在WRF-UCM中使用WRF.更多相关视频
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