Characteristics of Particulate Pollution (PM 2.5 and PM 10 ) and Their Spacescale-Dependent Relationships with Meteorological Elements in China

Xiaodong Li, Xuwu Chen, Xingzhong Yuan, Guangming Zeng, Tomás León, Jie Liang, Gaojie Chen and Xinliang Yuan
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Xiaodong Li: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Xuwu Chen: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Xingzhong Yuan: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Guangming Zeng: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Tomás León: School of Public Health, University of California, Berkeley, CA 94720, USA
Jie Liang: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Gaojie Chen: College of Mathematics and Econometrics, Hunan University, Changsha 410082, China
Xinliang Yuan: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China

Sustainability, 2017, vol. 9, issue 12, 1-14

Abstract: Particulate matter (PM) pollution in China has an obvious characteristic of spatial distribution. It is well known that intensive anthropogenic activities, such as fossil fuel combustion and biomass burning, have great influence on the spatial distribution of PM pollution. However, the spacescale-dependent relationships between PM concentrations and weather conditions remain unclear. Here, we investigated the characteristics of two types of particulate pollution, including PM 2.5 and PM 10 , and their spatial relationships with meteorological elements in 173 cities throughout China from March 2014 to February 2015. Results: (1) High PM 2.5 concentrations were distinctly located southeast of the Hu Line, and high PM 10 concentrations were distinctly situated north of the Yangtze River; (2) Spacescale-dependent relationships were found between PM pollution and meteorological elements. The influence of temperature had similar inverted V-shaped characteristics, namely, there was serious PM pollution when temperature was about 15 °C, and there was slight PM pollution when temperature was less or more than 15 °C. Annual precipitation, wind speed, and relative humidity were negatively correlated with PM, while annual atmospheric pressure was positively correlated with PM; (3) The ideal meteorological regions were identified according to the quantified spatial relationships between PM and meteorological elements, which could be defined by a combination of the following conditions: (a) temperature <10 °C or >21 °C; (b) precipitation >1500 mm; (c) atmospheric pressure <900 hPa; (d) wind speed >3 m/s; and (e) relative humidity >65%, where air pollutants can easily be scavenged. The success of this research provides a meteorological explanation to the spatial distribution characteristics of PM pollution in China.

Keywords: PM pollution; meteorological elements; spacescale-dependent relationship; ideal meteorological regions; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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