乌干达坎帕拉和金贾市的空气污染(PM2.5)及其气象预测指标†。

IF 2.8 Q3 ENVIRONMENTAL SCIENCES
Aishat Jumoke Alaran, Natasha O'Sullivan, Lambed Tatah, Richard Sserunjogi and Gabriel Okello
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引用次数: 0

摘要

空气污染对包括乌干达在内的非洲国家的影响尤为严重,但在这些环境中,对空气污染的研究却不足。低成本传感器的出现为改善常规空气质量监测、评估干预措施和跟踪进展提供了机会。本研究旨在评估乌干达坎帕拉和金贾市 PM2.5 的时空趋势,同时探讨气象参数对 PM2.5 的影响。从 58 个当地低成本传感器和 6 个气象站获得了三年(2020 年至 2022 年)的 PM2.5 校准值和气象参数。对 PM2.5 和气象数据的小时平均值进行了必要的预处理,并进行了各种统计分析,包括描述性统计、时间序列趋势、空间变化、斯皮尔曼等级相关性和多元回归。结果表明,具有伽玛连接功能的多元线性回归模型拟合效果最佳。坎帕拉和金贾的 PM2.5 年平均水平分别为 41.1 μg m-3(±18.91 μg m-3)和 25.6 μg m-3(±15.5 μg m-3),大大超过了世界卫生组织建议的 5 μg m-3 年指导值。气象参数与两座城市的 PM2.5 都有不同程度的关系;多元回归表明,气象因素可以解释坎帕拉 PM2.5 变化的约 18%,金贾的 7%。在 COVID-19 大流行封锁期间,两个城市的 PM2.5 水平都有所下降,坎帕拉下降了 31%(平均下降 11.2 μg m-3),金贾下降了 17%(平均下降 3.8 μg m-3)。这项研究深入探讨了撒哈拉以南非洲快速城市化的城市所面临的空气质量挑战、本地制造的低成本传感器的前景、气象如何影响当地空气污染,并为保障公众健康和促进可持续环境的知情决策奠定了基础。研究结果突出表明,迫切需要采取有针对性的干预措施和政策举措来解决乌干达的空气污染问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Air pollution (PM2.5) and its meteorology predictors in Kampala and Jinja cities, in Uganda†

Air pollution (PM2.5) and its meteorology predictors in Kampala and Jinja cities, in Uganda†

Air pollution disproportionately affects African countries, including Uganda, but it is inadequately studied in these settings. The emergence of low-cost sensors offers an opportunity to improve routine air quality monitoring, assess interventions, and track progress. This study aimed to assess the spatiotemporal trends of PM2.5 in Kampala and Jinja cities in Uganda, whilst exploring the influence of meteorological parameters on PM2.5. Calibrated PM2.5 values and meteorological parameters for three years (2020 to 2022) were obtained from 58 local low-cost sensors and 6 weather stations. Hourly averages for PM2.5 and meteorological data underwent necessary pre-processing, and various statistical analyses, including descriptive statistics, time series trends, spatial variation, Spearman rank correlation, and multivariate regression, were performed. The multivariate linear regression with a gamma-link function was selected as the model with the best fit. The average annual PM2.5 levels in Kampala and Jinja were 41.1 μg m−3 (±18.91 μg m−3) and 25.6 μg m−3 (±15.5 μg m−3), respectively, significantly exceeding the recommended World Health Organisation annual guideline values of 5 μg m−3. Meteorological parameters exhibited varying degrees of relationships with PM2.5 in both cities; multivariate regression indicated that meteorological factors could explain about 18% of the variation of PM2.5 in Kampala and 7% in Jinja. Both cities experienced a decrease in PM2.5 levels during the COVID-19 pandemic lockdown with Kampala experiencing a 31% reduction (average decrease of 11.2 μg m−3) and Jinja a 17% reduction (average decrease of 3.8 μg m−3). This study provides insights into the air quality challenges faced by a rapidly urbanising city in sub-Saharan Africa, the promise of locally made low-cost sensors, and how meteorology influences local air pollution and lays the foundation for informed decision-making to safeguard public health and promote a sustainable environment. The findings highlight the urgent need for targeted interventions and policy initiatives to address air pollution in Uganda.

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