The Concentrations and Removal Effects of PM 10 and PM 2.5 on a Wetland in Beijing

Chunyi Li, Yilan Huang, Huanhuan Guo, Gaojie Wu, Yifei Wang, Wei Li and Lijuan Cui
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Chunyi Li: Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Yilan Huang: Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Huanhuan Guo: College of Forestry, Beijing Forestry University, Beijing 100083, China
Gaojie Wu: Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Yifei Wang: Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Wei Li: Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Lijuan Cui: Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China

Sustainability, 2019, vol. 11, issue 5, 1-15

Abstract: Particulate matter (PM) is an essential source of atmospheric pollution in metropolitan areas since it has adverse effects on human health. However, previous research suggested wetlands can remove particulate matter from the atmosphere to land surfaces. This study was conducted in the Hanshiqiao Wetland National Nature Reserve in Beijing during 2016. The concentrations of PM 10 and PM 2.5 on a wetland and bare land in the park, as well as metrological data, were collected during the whole year. Based on the observed data, removal efficiency of each land use type was calculated by empirical models and the relationships between concentrations and metrological factors were also analyzed. The results indicated that: (1) In general, the PM 10 and PM 2.5 concentrations on the bare land surface were higher than those on the wetland surface, in both of which the highest value appeared at night and evening, while the lowest value appeared near noon. In terms of season, the average concentration of PM 10 was higher in winter (wetland: 137.48 μg·m −3 ; bare land: 164.75 μg·m −3 ) and spring (wetland: 205.18 μg·m −3 ; bare land: 244.85 μg·m −3 ) in general. The concentration of PM 2.5 on the wetland surface showed the same pattern, while that on the bare land surface was higher in spring and summer. (2) Concentrations of PM 10 and PM 2.5 were significantly correlated with the relative humidity ( p < 0.01) and inversely correlated with wind speed ( p < 0.05). The relationship between PM 10 and PM 2.5 concentrations and temperature was more complicated—it showed a significantly negative correlation ( p < 0.01) between them in winter and spring, however, the correlation was insignificant in autumn. In summer, only the correlation between PM 10 concentration and temperature on the wetland surface was significant ( p < 0.01). (3) The dry removal efficiency of PM 10 was greater than that of PM 2.5 . The dry removal efficiencies of PM 10 and PM 2.5 followed the order of spring > winter > autumn > summer on the wetland. This study seeks to provide practical measures to improve air quality and facilitate sustainable development in Beijing.

Keywords: particulates; wetland; concentration; meteorological factors; dry removal efficiency (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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