通过智能城市数字双胞胎评估和预测集体城市热量暴露

Xiyu Pan1, Dimitris Mavrokapnidis2, Hoang T Ly1

  • 1School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr NW, Atlanta, GA, 30332, USA.

Scientific reports
|April 26, 2024
PubMed
概括

智能城市数字双胞胎 (SCDT) 为评估和预测城市热量暴露提供了一种新的方法. 这项技术集成实时数据来预测热风险,增强公共安全,并启用积极的缓解策略.

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