同济大学学报（自然科学版）2025，Vol.53Issue(6)：934-943,10.DOI:10.11908/j.issn.0253-374x.23364
基于无人机观测的城市郊区临街区域颗粒物时空分布
Spatiotemporal Distribution of Particulate Matter in Urban Near-road Communities Using UAV
摘要
Abstract
Road traffic pollution has become a major source of pollution in cities,and street-facing communities are the most vulnerable to traffic pollution.This paper aims to use unmanned aerial vehicle(UAV)to monitor the three-dimensional distribution of air pollutants in urban street-facing communities,summarize their three-dimensional distribution rules,and explain the causes of three-dimensional distribution of pollutants in urban street-facing communities by analyzing different traffic conditions,different built environments and different meteorological conditions.This paper finds that large diesel vehicles have a great impact on the emission intensity of road pollution sources,and 12%of large diesel vehicles can contribute 55%of PM1 emissions.At the same time,according to the different land use conditions on both sides of the road,below 90m altitude,the horizontal impact range of PM1 is 100m to 350m,and within the height of 90m to 300m,the horizontal influence range of PM1 can reach more than 500m.关键词
城市临街环境/无人机/交通污染/时空分布Key words
urban near-road environment/unmanned aerial vehicle/traffic pollution/spatiotemporal distribution分类
资源环境引用本文复制引用
李超,何红弟,彭仲仁..基于无人机观测的城市郊区临街区域颗粒物时空分布[J].同济大学学报（自然科学版）,2025,53(6):934-943,10.基金项目
国家自然科学基金(12072195) （12072195）
