Abstract
Increasingly detrimental effects of fine particulate matter (PM) have been observed in Northeast Asia owing to its rapid economic development. Previous studies have found that dust, combustion, and chemical reactions are the major sources of PM; nevertheless, the spatial configuration of land use and land cover, which is of most interest to planners and landscape architects, also influences the PM levels. Here, we attempted to unveil the relationship between PM and different types of land use cover (i.e., developed, agricultural, woody, grass, and barren lands) in 122 municipalities of Korea. Landscape ecology metrics were applied to measure the spatial configuration of land use pattern and spatial lag models by taking into account the transboundary nature of air pollution, allowing us to conclude the following regarding PM levels: (1) the size of land cover type matters, but their spatial configuration also determines the variations in PM levels; (2) the contiguity and proximity of landcover patches are important; (3) the patterns of grasslands (e.g., simple, compact, and cluster (with large patches) patterns) and woodlands (e.g., complex, contiguous, and cluster (with large patches) patterns) considered desirable for minimizing PM are dissimilar in terms of contiguity.
Highlights
IntroductionAcademic Editors: Chih-Da Wu and Yu-Cheng Chen
Clusters of PM10 and PM2.5 showed similar patterns, but the shape of the PM2.5 high–high cluster seemed narrower, while the PM10 high–high cluster was found to stretch toward the west shore and included four municipalities located at the border with North Korea
Low–high cluster—an area with relatively low particulate matter (PM) levels compared to surrounded cities—that was observed in Gapyeong-gun showed relatively low PM10 concentrations when compared with the surrounding areas
Summary
Academic Editors: Chih-Da Wu and Yu-Cheng Chen. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Concerns about particulate matter (PM)—in particular, PM10 and PM2.5 in this study—
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More From: International Journal of Environmental Research and Public Health
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