论文著作 | [1]Yunni Wu, Hong Chen, Optimizing block morphology for reducing traffic pollutant concentration in adjacent external spaces of street canyons: A machine learning approach, Building and Environment, Volume 242,2023,110587,ISSN 0360-1323.（中科院1区 TOP） [2]Yunni Wu, Hong Chen, The diffusion of traffic pollutants in different residential blocks based on spatial morphological clustering, Building and Environment, Volume 228,2023,109860,ISSN 0360-1323.（中科院1区 TOP） [3]Yunni Wu, Hong Chen, Optimization study of block morphology based on machine learning model to mitigate the impact of traffic pollutant[C],Healthy Buildings 2023: Asia and Pacific Rim, 2023（EI 收录） [4]张俊毅,吴昀霓,黄咏梅,陈宏,刘丹凤. 夏热地区高铁站房室内光热环境调研及遮阳策略研究.华中建筑 ,2021,39(11):41-49. [5]吴昀霓,陈宏,管毓刚等. 滨江街区空间形态与江风渗透能力关联性分析 (二)——街区围合模式及建筑高度的模拟研究.2019国际绿色建筑与建筑节能大会论文集 ,2019:64-69. [6]周雪帆,陈宏,吴昀霓,许华华. 基于移动测量的城市空间形态对夏季午后城市热环境影响研究. 风景园林 ,2018,25(10):21-26. [7]Wei Ding, Mengyang Liu, Yunni Wu, Hong Chen, How to expand the cooling capacity of blue and green spaces in peri-urban areas throughout the entire diurnal cycle: Evidence from an inland multilake city, Journal of Cleaner Production, Volume 444, 2024, 141165, ISSN 0959-6526,（中科院1区 TOP） [8]Mengyang Liu, Hong Chen, Di Wei, Yunni Wu, Chao Li, Nonlinear relationship between urban form and street-level PM2.5 and CO based on mobile measurements and gradient boosting decision tree models,Building and Environment,Volume 205,2021,108265,ISSN 0360-1323,（中科院1区 TOP） [9]Huahua Xu, Hong Chen, Xuefan Zhou, Yunni Wu, Yu Liu, Research on the relationship between urban morphology and air temperature based on mobile measurement: A case study in Wuhan, China,Urban Climate,Volume 34,2020,100671,ISSN 2212-0955,（中科院2区） |
