Spatial patterns and influencing factors of intraurban particulate matter in the heating season based on taxi monitoring

IF 4.2 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Health and Sustainability Pub Date : 2022-09-29 DOI:10.1080/20964129.2022.2130826

Chong Liu, Yuanman Hu, Yu Chang, Miao Liu, Zaiping Xiong, Tan Chen, Chunlin Li

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引用次数: 2

Abstract

ABSTRACT Urbanization has introduced a series of environmental problems worldwide, and particulate matter (PM) is one of the main threats to human health. Due to the lack of high-resolution, large-scale monitoring data, few studies have analyzed the intraurban spatial distribution pattern of PM at a fine scale. In this study, portable air monitors carried by five taxis were used to collect the concentrations of PM1, PM2.5 and PM10 for five months in Shenyang during the heating season. The results showed that high concentrations of PM were distributed in the suburbs, while relatively low concentration areas were found in the central area. Agricultural, industrial and development zones had higher concentration values among the eight observed types. The PM concentration exhibited strong spatial autocorrelation based on Moran’s I index analysis. Meteorological factors were the most important influencing factors of the three pollutants, and their total contribution rate accounted for more than 80% among the 13 factors according to boosted regression trees analysis. The taxi monitoring method we proposed was a more efficient and feasible method for monitoring urban air pollution and could obtain higher spatial-temporal resolution data at a lower cost to elucidate the region’s dynamic air pollution distribution patterns.

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基于出租车监测的供暖季城市颗粒物空间格局及影响因素

摘要城市化在世界范围内引发了一系列环境问题，颗粒物是人类健康的主要威胁之一。由于缺乏高分辨率、大规模的监测数据，很少有研究在精细尺度上分析PM的城市内空间分布模式。在本研究中，使用五辆出租车携带的便携式空气监测仪对沈阳供暖季节五个月的PM1、PM2.5和PM10浓度进行了采集。结果表明，高浓度PM分布在郊区，而相对低浓度的PM分布在中心地区。在观察到的八种类型中，农业、工业和开发区的浓度值较高。基于Moran的I指数分析，PM浓度表现出较强的空间自相关。气象因子是三种污染物最重要的影响因子，根据增强回归树分析，它们的总贡献率在13个因子中占80%以上。我们提出的出租车监测方法是一种更有效、更可行的城市空气污染监测方法，可以以更低的成本获得更高的时空分辨率数据，以阐明该地区的动态空气污染分布模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ecosystem Health and Sustainability Environmental Science-Management, Monitoring, Policy and Law

CiteScore

7.10

自引率

2.00%

发文量

审稿时长

22 weeks

期刊介绍： Ecosystem Health and Sustainability publishes articles on advances in ecology and sustainability science, how global environmental change affects ecosystem health, how changes in human activities affect ecosystem conditions, and system-based approaches for applying ecological science in decision-making to promote sustainable development. Papers focus on applying ecological theory, principles, and concepts to support sustainable development, especially in regions undergoing rapid environmental change. Papers on multi-scale, integrative, and interdisciplinary studies, and on international collaborations between scientists from industrialized and industrializing countries are especially welcome. Suitable topics for EHS include: • Global, regional and local studies of international significance • Impact of global or regional environmental change on natural ecosystems • Interdisciplinary research involving integration of natural, social, and behavioral sciences • Science and policy that promote the use of ecological sciences in decision making • Novel or multidisciplinary approaches for solving complex ecological problems • Multi-scale and long-term observations of ecosystem evolution • Development of novel systems approaches or modeling and simulation techniques • Rapid responses to emerging ecological issues.