Tie Zheng

All Publications

• Exploring the Holiday Effect on Elevated Traffic-Related Air Pollution with Hyperlocal Measurements in Chengdu, China ATMOSPHERE Xiang, S., Yu, J., Yu, Y., Zhao, P., Zheng, T., Yue, J., Yang, Y., Liu, H. 2025; 16 (2)

  View details for DOI 10.3390/atmos16020171

  View details for Web of Science ID 001430657400001

• Variability of traffic-related air pollutants at two- and four-phase intersections ATMOSPHERIC POLLUTION RESEARCH Zheng, T., Xiang, S., Zhang, S., Wu, Y. 2023; 14 (12)

  View details for DOI 10.1016/j.apr.2023.101936

  View details for Web of Science ID 001086211500001

• Horizontal profiles of size-segregated particle number concentration and black carbon beside a major roadway ATMOSPHERIC ENVIRONMENT-X Zheng, T., Peng, Z., He, H., Zhang, S., Wu, Y. 2022; 16

  View details for DOI 10.1016/j.aeaoa.2022.100187

  View details for Web of Science ID 000856563800001

• Impacts of vegetation on particle concentrations in roadside environments ENVIRONMENTAL POLLUTION Zheng, T., Jia, Y., Zhang, S., Li, X., Wu, Y., Wu, C., He, H., Peng, Z. 2021; 282: 117067

  Abstract

  In roadside environments, commuters are exposed to a high level of traffic-related pollution. Despite vegetation is often used to mitigate air pollution in road environments, its air quality impacts are complex and could be both positive or negative depending on specific conditions. This study conducted field measurements to assess the air quality impacts of roadside vegetation. Three common street vegetation configurations (dense vegetation, porous vegetation, and clearing) were selected and the concentrations of size-resolved particles and black carbon were measured. Results show that dense vegetation formed an accumulation area of particle pollutants on the sidewalk and bikeway, which was attributable to the increased deposition of pollutants. Compared with porous vegetation, the increase in particle concentrations before dense vegetation was 0-35% on the sidewalk (closer to vegetation) and 0-6% on the bikeway. Due to high homogeneity, fine particles (0.3-1 μm) showed low variability among different sample points, while coarse particles (>1 μm) showed high variability and presented a significant increase in concentration before dense vegetation. Porous vegetation showed weak interception effects on pollutants, and the particle concentrations before porous vegetation were close to those in the clearing. The horizontal decay of particle concentrations in porous and dense vegetation showed that particle pollutants were difficult to penetrate dense vegetation, which concentrations of particles presented a pronounced increase in the front part (0-5 m) of dense vegetation but also showed a large drop across it. These results suggest that vegetation serves as a good filter to clean the air and could improve the air quality away from the vegetation but could also worsen the air quality close to the vegetation. This study provides an insight into the environmental impacts of roadside vegetation, which could have practical implications in air pollution abatement.

  View details for DOI 10.1016/j.envpol.2021.117067

  View details for Web of Science ID 000660292100008

  View details for PubMedID 33838442

• Impacts of traffic on roadside particle variations in varied temporal scales ATMOSPHERIC ENVIRONMENT Zheng, T., Wang, H., Li, X., Peng, Z., He, H. 2021; 253

  View details for DOI 10.1016/j.atmosenv.2021.118354

  View details for Web of Science ID 000640899700003

• A Study of Inbound Logistics Mode Based on JIT Production in Cruise Ship Construction SUSTAINABILITY Wang, J., Yin, J., Khan, R., Wang, S., Zheng, T. 2021; 13 (3)

  View details for DOI 10.3390/su13031588

  View details for Web of Science ID 000615639800001

• Effects of roadside green infrastructure on particle exposure: A focus on cyclists and pedestrians on pathways between urban roads and vegetative barriers ATMOSPHERIC POLLUTION RESEARCH Jia, Y., Lu, K., Zheng, T., Li, X., Liu, X., Peng, Z., He, H. 2021; 12 (3): 1-12

  View details for DOI 10.1016/j.apr.2021.01.017

  View details for Web of Science ID 000626108900001

• Assessing neighborhood variations in ozone and PM_2.5 concentrations using decision tree method BUILDING AND ENVIRONMENT Gao, Y., Wang, Z., Li, C., Zheng, T., Peng, Z. 2021; 188

  View details for DOI 10.1016/j.buildenv.2020.107479

  View details for Web of Science ID 000609487000009

• Vertical and horizontal distributions of traffic-related pollutants beside an urban arterial road based on unmanned aerial vehicle observations BUILDING AND ENVIRONMENT Zheng, T., Li, B., Li, X., Wang, Z., Li, S., Peng, Z. 2021; 187

  View details for DOI 10.1016/j.buildenv.2020.107401

  View details for Web of Science ID 000600275500005