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Greenspace pattern, meteorology and air pollutant in Taiwan: A multifaceted connection

污染物 空气质量指数 旱季 环境科学 雨季 空气污染 空气污染物 相对湿度 大气科学 水文学(农业) 气象学 地理 生态学 生物 地质学 工程类 岩土工程
作者
Quang‐Viet Nguyen,Yuei-An Liou
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:914: 169883-169883
标识
DOI:10.1016/j.scitotenv.2024.169883
摘要

Air pollution is a global environmental concern that poses a significant threat to human health. Given the impact of urbanization and climate change, green planning is being encouraged to improve air quality. The study aims to examine the intricate relationships between greenspace pattern and outdoor air around 73 in-situ stations over Taiwan during the dry (November to April) and wet (May to December) seasons from 2015 to 2020. To achieve this, Partial Least Squares – Structural Equation Modeling was utilized to analyze the interactions among seven dimensions: greenspace – GS, gaseous pollutant – GP, particle pollutant – PP, O3 – OZONE, air temperature – TEMP, relative humidity – RH, and wind speed – WS. The GS involves seven landscape metrics: edge density, total edge, effective mesh size, largest patch area, percentage of landscape, total core area, and patch cohesion index. The results indicate that the GS has a stronger effect on the GP, whereas its effect on the PP is weaker during the dry season compared to the wet season. While its effect on the TEMP is weaker, it shows a slightly stronger effect on the RH during the dry season. Moreover, the GS mediates the air pollutant dimensions during the two seasons, with the RH acting as a primary mediator. The meteorological dimensions primarily have a greater influence on the air pollutant dimensions during the dry season than the wet season. Consequently, the GS explains 11.3 % more and 18.4 % less of the variances in the RH and TEMP during the dry season, respectively. Moreover, the GS and meteorological dimensions yields a seasonal difference in explained variance, with the highest value observed for the OZONE (R2 = 24.2 %), followed by the PP (R2 = 9.7 %) and GP (R2 = 7.7 %). Notably, seven landscape metrics serve as potential indicators for green strategies in urban planning to enhance outdoor air quality.

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