阿尔及利亚 Aures 空气污染物与环境变量的相互作用评估

IF 1.827 Q2 Earth and Planetary Sciences
Imene Benmakhlouf, Hassen Benmessaoud, dJamal Bengusmia, Mohamed Elhag
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引用次数: 0

摘要

空气污染不仅对人类健康,而且对生态系统的健康都构成了巨大风险。尽管北非地区的空气污染物日益增多,但确定空气污染因素的研究却很有限。此外,也没有研究专门确定阿尔及利亚空气污染与环境变量之间的相互作用。因此,本研究的主要目的是确定阿尔及利亚 Aures 地区空气污染物与环境因素之间的相互作用。我们分析了时空分布,以确定 2019-2021 年研究区域的空气污染物浓度。为此,我们使用了来自谷歌地球引擎(GEE)云平台的哨兵-5P TROPOMI 时间序列数据来估算空气污染物的浓度。利用线性回归模型进行趋势分析,以确定 NDVI 与空气污染物浓度之间的相互关系。研究结果表明,在 2019-2021 年期间,空气污染物高度集中在该地区的东北部和最南部,以及冬季和春季。回归结果显示,植被与该地区的 PM2.5 (β = - 0.23,p = 0.04)和 SO2 浓度(β = - 0.65,p = 0.01)呈负相关,而与 NO2 (β = 0.31,p = 0.08)和 CH4 浓度(β = 1.02,p = 0.00)呈正相关。这些结果为合理开发、利用和管理土地资源以及实现区域协调控制 PM2.5 污染提供了量化的决策基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Interaction assessment of air pollutants and environmental variables in Aures, Algeria

Interaction assessment of air pollutants and environmental variables in Aures, Algeria

Interaction assessment of air pollutants and environmental variables in Aures, Algeria

Air pollution poses a substantial risk not only to human health but also to the health of ecosystems. Despite the increasing air pollutants in the North Africa region, there are limited studies that identify the factors of air pollution. Further, no study devoted to identify the interaction between air pollution and environmental variables in Algeria. Thus, the primary aim of this study is to determine the interactions between air pollutants and environmental factors in Aures, Algeria. A spatial–temporal distribution was analyzed to determine the air pollutant concentration in the study area for 2019–2021. To this end, we used Sentinel-5P TROPOMI time series data from the Google Earth Engine (GEE) cloud platform to estimate the concentration of air pollutants. A trend analysis with a linear regression model was used to determine the interrelationship between NDVI and air pollutant concentration. Findings show that throughout 2019–2021, air pollutants are highly concentrated in the northeast and the southernmost portion of this area, and during the winter and spring seasons. The regression results show that vegetation is negatively associated with PM2.5 (β =  − 0.23, p = 0.04) and SO2 concentration (β =  − 0.65, p = 0.01), while showed a positive association with NO2 (β = 0.31, p = 0.08) and CH4 concentration (β = 1.02, p = 0.00) in this region. These outcomes give quantitative decision-making benchmarks for the rational development, usage, and management of land resources, as well as the attainment of regionally coordinated controls of PM2.5 pollution.

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来源期刊
Arabian Journal of Geosciences
Arabian Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
0.00%
发文量
1587
审稿时长
6.7 months
期刊介绍: The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone. Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.
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