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The Spatiotemporal Distribution of Air Pollutants and Their Relationship with Land-Use Patterns in Hangzhou City, China.
- Source :
- Atmosphere; Jun2017, Vol. 8 Issue 6, p110, 18p, 2 Charts, 8 Graphs, 6 Maps
- Publication Year :
- 2017
-
Abstract
- Air pollution contributes to a large fraction of the total mortality estimated under the global burden of disease project (GBD) of the World Health Organization (WHO). This paper discusses an integrated study to obtain the spatiotemporal characteristics of particulate matter (PM<subscript>2.5</subscript> and PM<subscript>10</subscript>) and trace gases (O<subscript>3</subscript>, SO<subscript>2</subscript>, NO<subscript>2</subscript>, and CO) pollutants in Hangzhou City (China) for the years 2014–2016. Our detailed analysis shows a relationship between air pollutants and land-use/land-cover change. Air quality parameters (PM<subscript>2.5</subscript> and PM<subscript>10</subscript>) and trace gases (SO<subscript>2</subscript>, NO<subscript>2</subscript>, and CO) show strong monthly variations in the months of January (higher values) and July (lower values). During monsoon and summer seasons, air quality and trace gases show low values, whereas ozone (O<subscript>3</subscript>) is higher in the summer and lower in the winter. The spatial distribution of air pollutants is retrieved using the kriging method at the monitoring sites in Hangzhou City. We have considered normalized difference vegetation index (NDVI) and land surface temperature (LST) from the Landsat 8 data. The correlation between air pollutants and land use at the street-town unit suggests that areas with low NDVI, high road density, large built-up density, and LST are consistent with high concentrations of particulate matter and SO<subscript>2</subscript>, NO<subscript>2</subscript>, and CO. Among the trace gases, NO<subscript>2</subscript> is found to be the most sensitive element affected by land use patterns, and O<subscript>3</subscript> shows weak correlation with land use. SO<subscript>2</subscript> shows a strong positive correlation with road density and LST, whereas CO shows positive correlation with the built-up density, LST, and population density. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20734433
- Volume :
- 8
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Atmosphere
- Publication Type :
- Academic Journal
- Accession number :
- 123799136
- Full Text :
- https://doi.org/10.3390/atmos8060110