作者: Xiangwen Fu , Songlin Xiang , Ying Liu , Junfeng Liu , Jun Yu
DOI: 10.1016/J.ENVPOL.2020.114390
关键词: Temporal resolution 、 Pollution 、 Terrain 、 Pollutant 、 NOx 、 Air pollution 、 Wind speed 、 Spatial heterogeneity 、 Atmospheric sciences 、 Environmental science 、 Toxicology 、 Health, Toxicology and Mutagenesis 、 General Medicine
摘要: Abstract Urban air pollution features large spatial and temporal variations due to the high heterogeneity in emissions ventilation conditions, which render pollutant distributions complex urban terrains difficult measure. Current models are not able simulate dispersion distribution at a low computational cost resolution. To address this limitation, we have developed terrain (UTAP) model investigate, resolution of 5 m 1 h, local traffic-related NOx concentration pedestrian level 1 × 1 km2 area Baoding, Hebei, China. The UTAP was shown be capable capturing cost. We found that along or near major roads (10–200 μg m−3) 1–2 orders magnitude higher than places far from (0.1–10 μg m−3). Considering background pollution, NO NO2 concentrations exhibited similar patterns with street canyons lower away streets, while O3 opposite behavior. Sixty percent likely stemmed traffic when low. Both wind speed direction substantially impacted overall variations, perpendicular axes most streets identified as unfavorable conditions. Our results revealed variability terrain, indicating high-resolution computationally efficient such required accurately estimate exposure residents.