在COVID-19爆发之前和期间,马马拉拉地区的空气污染情况
Ibrahim Arpaci1, Serhat Kilicarslan2, Omer Aslan1
1Faculty of Engineering and Natural Sciences, Department of Software Engineering, Bandirma Onyedi Eylul University, Balikesir, Türkiye.
Environmental monitoring and assessment
|May 30, 2023
概括
随着COVID-19的封锁,马拉马拉地区和伊斯坦布尔的空气污染,特别是颗粒物 (PM),显著减少. 统计分析证实这一下降是显著的,为环境政策提供了洞察力.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 随着COVID-19大流行,全球封锁,经济/运输活动减少.
- 了解这些措施对城市空气质量的影响对于环境健康至关重要.
- 之前的研究表明,在与流行病有关的限制期间,可能会改善空气质量.
研究的目的:
- 调查和量化马拉马拉地区和伊斯坦布尔空气污染水平的变化.
- 为了比较COVID-19流行病限制之前和期间的空气质量数据.
- 评估观察到的空气污染水平变化的统计意义.
主要方法:
- 利用来自气象总局的真实空气污染数据.
- 应用机器学习算法:人工神经网络 (ANN),辐射基函数回归 (RBFreg) 和支持矢量机器回归 (SMOreg).
- 进行单个样本t测试,以统计比较大流行前和大流行后的空气污染水平.
主要成果:
- 在COVID-19大流行期间,马马拉拉地区和伊斯坦布尔都观察到颗粒物 (PM) 水平的显著降低.
- 空气污染的减少在马尔马拉地区 (t=11.45,p<.001) 和伊斯坦布尔 (t=3.188,p<.001) 具有统计学意义.
- 机器学习模型提供了可靠的分析,支持观察到的空气质量改善.
结论:
- 由于COVID-19大流行引起的封锁,马拉马拉地区和伊斯坦布尔的空气质量明显改善.
- 调查结果强调了减少人类活动对城市空气污染的重大影响.
- 结果为旨在实施可持续环境战略的政策制定者提供了有价值的数据.
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