title: [Inversion and spatial-temporal distribution analysis on PM5.0 inhalable particulate in Beijing].
abstract: Study on urban spatial characteristics of inhalable particulate and its influencing factors has an important practical significance for the development of more effective inhalable particulate pollution control policy. On the basis of the actual sampling and remote sensing data processing, a correlation model was established between the difference vegetation index (DVI) values of TM images and the measured values of the corresponding PM5.0 particulate matter, and PM5.0 distributions from 2008 to 2010 in Beijing were acquired by the use of inversion experiments and their accuracies were tested. Furthermore, the impact of NDBI and NDMI on PM5.0 was explored, as well as the spatial and temporal characteristics of inhalable particulate within the five rings of Beijing. The results showed that: (1) the PM5.0 inversion method using DVI was feasible, and the inversion accuracy was acceptable; (2) Overall, in 2008, PM5.0 particulate matter pollution was the lightest in the study area. The higher values of particle pollution were distributed between the southwest third ring road and southwest fourth ring road, as well as between the southeast third ring road and southeast fourth ring road, and the lower values of particle pollution were distributed around the northwest fifth ring road; (3) NDBI and NDMI had equal significant impact on inhalable particulate, which respectively showed significant negative correlation and positive correlation.
authors.forename: Yan-Hui
authors.initials: YH
authors.lastname: Wang
authors.forename: Yao
authors.initials: Y
authors.lastname: Xiao
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D002681:China; D002947:Cities; D004784:Environmental Monitoring; D008962:Models, Theoretical; D052638:Particulate Matter / Q000032:analysis*; D062211:Spatio-Temporal Analysis
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter