Dynamic Changes of Air Particle Pollutants and Scale Regulation of Forest Landscape in a Typical High-Latitude City

Chang Zhai, Ning Fang, Xuan Xu, Bingyan Liu, Guangdao Bao (), Zhibin Ren () and Ruoxuan Geng
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Chang Zhai: College of Landscape Architecture, Changchun University, Changchun 130022, China
Ning Fang: College of Landscape Architecture, Changchun University, Changchun 130022, China
Xuan Xu: College of Landscape Architecture, Changchun University, Changchun 130022, China
Bingyan Liu: College of Landscape Architecture, Changchun University, Changchun 130022, China
Guangdao Bao: Institute of Forest Management, Jilin Provincial Academy of Forestry Sciences, Changchun 130033, China
Zhibin Ren: Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
Ruoxuan Geng: College of Landscape Architecture, Changchun University, Changchun 130022, China

Land, 2024, vol. 13, issue 11, 1-22

Abstract: Particulate pollutants, particularly PM 2.5 and PM 10 , pose serious threats to human health and environmental quality. Therefore, effectively mitigating and reducing the concentrations of these pollutants is crucial for human survival and development. In this study, we analyzed the distribution characteristics of air particulate pollutants in a typical high-latitude city, extracted urban forest areas from high-resolution remote sensing images, and examined the changing characteristics of PM concentration and the relationship between landscape pattern indexes and PM at different scales. The results showed that the concentrations of PM 2.5 and PM 10 were highest in winter and lowest in summer. At the small scales of 0.5 km × 0.5 km to 1.5 km × 1.5 km, PM concentration decreased with the decrease in PARA (Perimeter–Area Ratio). At the mesoscales of 2 km × 2 km to 2.5 km × 2.5 km, both PARA and CIRCLE (Related Circumscribing Circle) were highly significant ( p < 0.001) correlated with PM concentration. At the large scales of 3 km × 3 km to 4 km × 4 km, PARA and PAFRAC (Perimeter–Area Fractal Dimension) were positively correlated with PM concentration. Our study indicates that reducing the complexity of forest patches in small-scale planning can help mitigate particulate air pollution. In the medium scale of urban forest planning, the more regular the forest patch shape and the more similar the patch shape to the strip, the better PM can be alleviated, while in large-scale planning, increasing the forest area and making the patches more normalized and simplified can reduce PM concentration. Moreover, reducing the complexity of forest patches can significantly mitigate PM pollution at all scales. The results of this research provide theoretical support and guidance for improving air quality in urban forest planning at different scales.

Keywords: particulate matter; urban forest; landscape parameters; scale effect (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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