Temporal And Spatial Distribution Of Surface Temperature And Inhalable Particulate Matter In Beijing And Its Correlation Analysis

With the rapid urbanization and industrialization in China, the city size expands very fast and the economy develops rapidly, lots of natural surfaces are replaced by the artificial buildings since the reform and open policy. As time goes on, land use changes have also caused the changes of Land Surface Temperature (LST) and the distribution of Inhalable Particulate Matter (IPM) in cities. Since the temperature and other meteorological factors affect the distribution of IPM, a correlation could be exist between them.The study area is the range of the5th Ring of Beijing in this article. Based on the data including the Landsat TM images and a part of IPM concentration, through retrieving methods, the images of LST and IPM distribution are got. And then by computing the correlation between the meteorological factors and IPM is showed.In this study, the LST distributions of Beijing, from1989to2010, are retrieved from Landsat TM via the mono-window algorithm. Then analyzing the characteristics of LST within the5th Ring road in Beijing through computing the temperature anomalies and drawing profiles, and the studies show that the LST is closely related to the Normalized Difference Moisture Index (NDMI) and Normalized Difference Building Index (NDBI), especially in certain situation such as the area is covered by water, these two normalized indexes could be better than Normalized Difference Vegetation Index (NDVI), when characterizing the surface thermal features.Based on the PM5.0concentration data and Difference Vegetation Index (DVI) within the5th ring road in Beijing from2008to2010, the relationships of them are created, and three PM5.0distribution images are got. Then through studying the relationships between the IPM and the normalized indexes, which include NDMI and NDBI, the results show that there are remarkable correlations.The relationship between meteorological factors such as temperature and IPM are studied by using Grey Relational Analysis (GRA). In the system, the concentration of inhaled particulate matter, and meteorological factors, including LST, wind velocity and humidity, have been recognized as the referring series and comparing series respectively. The result indicates that the concentration of IPM is mainly decided by temperature and humidity, when the sources of air pollution are constant.