,

Niloufar Alinasab1, Negar Mohammadzadeh2, Alireza Karimi3

  • 1Department of Atmospheric and Geospatial Data Sciences, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary. nfar.alinasab@gmail.com.

概括

机器学习模型使用城市峡谷特征准确预测室外热舒适度 (OTC). 街道的方向和宽度对UTI,PET和PMV等热指数产生重大影响,有助于城市减热策略.