The Relationships between Air Pollution, Warming, and Health in Tehran Metropolis, Iran, during 2015–2019

Kosar Daneshipour, Armin Naghipour, A. Rad
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Abstract

Introduction: Since global warming and air pollution was caused by human activities have increased dramatically in recent decades, studies have been conducted to determine how environmental parameters and air pollutants interact and, subsequently, how these pollutants affect ecosystems and human health. Accordingly, this study aimed to investigate the relationship between temperature and air pollutants in Tehran, Iran, in order to determine whether warming is associated with an increase in air pollutants. Materials and Methods: During 2015-2019, Iran Air Quality Monitoring Station (AQMS) and the Landsat 8 satellite were employed to retrieve data on pollutants such as PM, CO, O3, NO2, SO2, and air quality index (AQI), as well as climate-related metrics including ambient temperature and land surface temperature (LST). Pearson correlation coefficient and linear regression model were used to analyze the data. Results: A positive correlation was found between temperature variables and PM10 (ρ = 0.29, p = 0.001) and O3 (ρ= 0.55, p = 0.001) pollutants. PM10 and O3 levels were evaluated by 0.46 (95% Confidence Interval (CI) = (0.25, 0.67), p = 0.001) and 1.13 (95% CI = 0.89, 1.37), p = 0.001) units for each one-unit rise in temperature. Conclusion: Given the fact that temperature predominantly evidenced a significant synergistic association with PM10 and O3, it was determined that there was no substantial positive association between all pollutants and warming.
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2015-2019 年伊朗德黑兰市空气污染、气候变暖与健康之间的关系
导言:近几十年来,人类活动造成的全球变暖和空气污染急剧增加,因此,人们一直在研究环境参数和空气污染物如何相互作用,以及这些污染物如何影响生态系统和人类健康。因此,本研究旨在调查伊朗德黑兰气温与空气污染物之间的关系,以确定气候变暖是否与空气污染物增加有关。 材料和方法:在 2015-2019 年期间,利用伊朗空气质量监测站(AQMS)和大地遥感卫星 8 号(Landsat 8)检索了可吸入颗粒物(PM)、一氧化碳(CO)、臭氧(O3)、二氧化氮(NO2)、二氧化硫(SO2)等污染物和空气质量指数(AQI)的数据,以及环境温度和地表温度(LST)等气候相关指标。数据分析采用了皮尔逊相关系数和线性回归模型。 结果显示发现温度变量与 PM10(ρ=0.29,p=0.001)和 O3(ρ=0.55,p=0.001)污染物之间存在正相关。气温每升高一个单位,PM10 和 O3 水平分别降低 0.46 个单位(95% 置信区间 (CI) = (0.25, 0.67),p = 0.001)和 1.13 个单位(95% 置信区间 = 0.89, 1.37),p = 0.001)。 结论鉴于温度主要与 PM10 和 O3 有显著的协同关系,因此确定所有污染物与气候变暖之间没有实质性的正相关关系。
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