热带地理 ›› 2020, Vol. 40 ›› Issue (2): 229-242.doi: 10.13284/j.cnki.rddl.003232
宋洁1, 周素红1(), 彭伊侬2, 林荣平1, 徐建斌1a
收稿日期:
2019-09-24
修回日期:
2020-01-07
出版日期:
2020-03-10
发布日期:
2020-05-15
通讯作者:
周素红
E-mail:eeszsh@mail.sysu.edu.cn
作者简介:
宋洁(1989–),女,山西太谷人,博士研究生,主要研究方向城市地理、环境健康,(E-mail) songj36@mail2.sysu.edu.cn。
基金资助:
Song Jie1, Zhou Suhong1(), Peng Yinong2, Lin Rongping1, Xu Jianbin1a
Received:
2019-09-24
Revised:
2020-01-07
Online:
2020-03-10
Published:
2020-05-15
Contact:
Zhou Suhong
E-mail:eeszsh@mail.sysu.edu.cn
摘要:
采用便携式空气污染监测设备对广州市环城高速内的中心城区PM2.5污染情况进行移动监测,获取225.7万条频率为1 Hz的PM2.5监测数据,基于此对研究区进行10 m×10 m高时空分辨率的PM2.5污染模拟,并分析移动采集的可靠性及城市中心区PM2.5污染时空模式。结果显示:天气状况稳定条件下移动监测的城市PM2.5数据在时间维度与固定监测站点数据呈现较显著相关性(R 2为0.72~0.86);广州市中心城区的PM2.5污染时空分布在短时间内具有显著的时空分异特征:时间上,干、湿季的平均逐时极差分别为27和11 μg/m3,质量浓度最高值和最低值出现的时段与当天的背景质量浓度值有关;空间上,交通枢纽、商业中心、工业园和大型商贸市场附近PM2.5污染风险高,公园绿地、高校、高级住宅区等风险相对较低,且呈干季西高东低、南高北低,湿季东高西低的空间分异特征。
中图分类号:
宋洁, 周素红, 彭伊侬, 林荣平, 徐建斌. 基于移动监测的城市PM2.5污染时空模式研究——以广州市中心区为例[J]. 热带地理, 2020, 40(2): 229-242.
Song Jie, Zhou Suhong, Peng Yinong, Lin Rongping, Xu Jianbin. Analysis of Spatio-Temporal PM2.5 Patterns Obtained Using Mobile Monitoring: Case Study Conducted in Central District of Guangzhou[J]. Tropical Geography, 2020, 40(2): 229-242.
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