土地利用对环境PM2.5和氨浓度的影响:意大利伦巴第地区的相关分析

L. Gianquintieri, D. Oxoli, E. Caiani, M. Brovelli
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摘要

摘要在世界范围内,空气污染被确定为对健康的主要环境风险。虽然大多数人为排放是由于燃烧过程,但集约化农业活动也可能产生重大影响,特别是作为颗粒物质2.5和氨的来源。对微粒物质和前体动态进行调查,查明影响其排放的最相关环境因素,对于改善地方和区域空气质量政策至关重要。本文通过分析哥白尼大气监测服务获得的颗粒物2.5和氨浓度与当地土地利用特征的相关性,探讨农业活动对时空污染物浓度格局的影响。选定的研究区域是意大利北部的伦巴第地区。通过斯皮尔曼系数来评估相关性。农业地区是导致高氨浓度的重要因素,而颗粒物2.5与建成区密切相关。自然区域反而对这两种污染物起到了保护作用。结果为土地利用对空气质量的影响提供了数据驱动的证据,并根据相关系数的大小对这种影响进行了量化。
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Land use influence on ambient PM2.5 and ammonia concentrations: Correlation analyses in the Lombardy region, Italy
Abstract. Air pollution is identified as the primary environmental risk to health worldwide. Although most of the anthropic emissions are due to combustion processes, intensive farming activities may also contribute significantly, especially as a source of particulate matter 2.5 and ammonia. Investigations on particulate matter and precursors dynamics, identifying the most relevant environmental factors influencing their emissions, are critical to improving local and regional air quality policies. This work presents an analysis of the correlation between particulate matter 2.5 and ammonia concentrations, obtained from the Copernicus Atmosphere Monitoring Service, and local land use characteristics, to investigate the influence of agricultural activities on the space-time pollutant concentration patterns. The selected study area is the Lombardy region, northern Italy. Correlation is evaluated through Spearman’s coefficient. Agricultural areas resulted in a significant factor for high ammonia concentrations, while particulate matter 2.5 was strongly correlated with built-up areas. Natural areas resulted instead a protective factor for both pollutants. Results provide data-driven evidence of the land use effect on air quality, also quantifying such effects in terms of correlation coefficients magnitude.
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