Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Xiangwen Fu"'
Publikováno v:
Environmental Research: Infrastructure and Sustainability, Vol 3, Iss 2, p 021001 (2023)
The development of urban transportation is affected by city population size, wealth, urban typology, the built environment, and fuel price, and has significant implications for urban sustainability. We analyze data of 297 Chinese cities between 2017
Externí odkaz:
https://doaj.org/article/d497dc14238e4695834d87102a728283
Autor:
Yuqing Wang, Junfeng Liu, Dabo Guan, Jing Meng, Zhu Liu, Songlin Xiang, Haozhe Yang, Xiangwen Fu, Xiurong Hu, Qiong Yang, Kan Yi, Yizhou Zhang, Jianmin Ma, Xuejun Wang, Shu Tao
Publikováno v:
One Earth. 5:1165-1177
Autor:
Yuqing Wang, Jianmin Ma, Junfeng Liu, Songlin Xiang, Shu Tao, Leyi Zheng, Kan Yi, Jingcheng Zhou, Yizhou Zhang, Xiangwen Fu
Publikováno v:
Urban Climate. 39:100941
High resolution urban wind field simulations are limited in small simulation domain, short simulation period, or stable boundary conditions due to the high computational requirements. To address these limitations, non-intrusive reduced order models (
Autor:
Junfeng Liu, Shu Tao, Bin Ouyang, Xiangwen Fu, Olalekan A.M. Popoola, George Ban-Weiss, Xin Huang, Jiachen Zhang
Publikováno v:
Atmospheric Environment. 165:111-121
Street canyons are ubiquitous in urban areas. Traffic-related air pollutants in street canyons can adversely affect human health. In this study, an urban-scale traffic pollution dispersion model is developed considering street distribution, canyon ge
Autor:
Xiangwen, Fu, Songlin, Xiang, Ying, Liu, Junfeng, Liu, Jun, Yu, Denise L, Mauzerall, Shu, Tao
Publikováno v:
Environmental pollution (Barking, Essex : 1987). 263
Urban air pollution features large spatial and temporal variations due to the high heterogeneity in emissions and ventilation conditions, which render the pollutant distributions in complex urban terrains difficult to measure. Current urban air pollu
Autor:
Yuqing Wang, Shu Tao, Songlin Xiang, Xiurong Hu, Xiangwen Fu, Jiayu Xu, Jingcheng Zhou, Jianmin Ma, Yizhou Zhang, Huazhen Liu, Junfeng Liu
Publikováno v:
Building and Environment. 187:107397
To address the problem that urban wind field simulations are limited by high computational requirements, a supervised machine learning framework for the non-intrusive model order reduction of urban airflow is proposed to provide fast predictions with
Publikováno v:
Environmental Pollution. 263:114390
Urban air pollution features large spatial and temporal variations due to the high heterogeneity in emissions and ventilation conditions, which render the pollutant distributions in complex urban terrains difficult to measure. Current urban air pollu
Publikováno v:
Sensors & Transducers, Vol 163, Iss 1, Pp 113-120 (2014)
In order to overcome the shortage that the traditional image filtering algorithm can not preserve edges and details of digital images when filter out noises, a valid filtering algorithm for preserving edges and details of images is proposed in this p
Publikováno v:
Journal of Software. 8
Aimed at the problem how to detect the circular region and determine the parameters of circular in the digital image, two ways of the current common round recognition methods are introduced—one is based on the Hough transform, and the other is on t