Simulation of the Impact of Urban Forest Scale on PM 2.5 and PM 10 based on System Dynamics

Yejing Zhou, Helin Liu, Jingxuan Zhou and Meng Xia
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Yejing Zhou: School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Helin Liu: School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Jingxuan Zhou: School of Environmental Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Meng Xia: Wuhan Planning Research and Exhibition Center, Wuhan 430010, China

Sustainability, 2019, vol. 11, issue 21, 1-24

Abstract: In the context of ecological civil construction in China, afforestation is highly valued. Planting trees can improve air quality in China’s large cities. However, there is a lack of scientific analysis quantifying the impact urban forest scale has on the air quality, and what scale is advisable. The problem still exists of subjective decision-making in afforestation. Similar studies have rarely analyzed the long-term effect research of urban forests on air improvement. Using as an example, the city of Wuhan, this paper identifies the regularity between particulate matter concentration and adsorption of sample leaves, and establishes a system dynamics model of "economy, energy and atmospheric environment.” By combining this regularity with the model, the long-term impact of forest scale on particulate matter and atmospheric environment was simulated. The results show that if the forest coverage rate reaches at least 30%, the annual average concentrations of inhalable particulate matter (PM 10 ) and fine particulate matter (PM 2.5 ) can both reach the Grade I limit of national Ambient Air Quality Standard by 2050. The current forest cover is 22.9% of the administrative area. Increasing the forest cover by 600 km 2 would increase this percentage to 30% of the total area. In the long run (by the year 2050), however, we showed that this increase would only reduce the annual concentration of PM 2.5 and PM 10 by 1–2%. Therefore, about 90% of the concentration reduction would still rely on the traditional emission reduction measures. More other ecological functions of forests should be considered in afforestation plan.

Keywords: particulate matter; forest cover; system dynamics; Wuhan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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