在COVID-19期间的空气测绘和空气污染物与植物的物理化学参数之间的联系,使用结构平等建模:一个案例研究
Chidananda Prasad Das1, Shreerup Goswami2, Bijay Kumar Swain3
1Environmental Science Program, Department of Chemistry, ITER, S 'O' A Deemed to be University, Bhubaneswar, Odisha, India.
Environmental monitoring and assessment
|July 26, 2023
概括
由于COVID-19的封锁,印度布巴内斯瓦尔的城市空气质量得到改善. 植物叶子显示出不同的污染耐受性,其中Mangifera indica显示中等耐受性和其他物种是敏感的.
科学领域:
- 环境科学 环境科学
- 植物生理学 植物生理学
- 城市生态城市生态学
背景情况:
- 汽车排放是全球城市空气污染的主要来源.
- 由于COVID-19的限制,交通暂时减少,影响空气质量.
- 评估空气质量和植物反应对于城市环境管理至关重要.
研究的目的:
- 为了评估印度布巴内斯瓦尔的空气质量变化,在COVID-19封锁之前,期间和之后.
- 根据空气质量来确定选定的植物物种的空气污染耐受性指数 (APTI).
- 研究植物生理参数,空气质量和污染水平之间的关系.
主要方法:
- 从布巴内斯瓦尔的六个国家环境空气监测计划 (NAMP) 站收集空气质量数据.
- 评估了空气污染耐受性指数 (APTI),使用来自Mangifera indica,Monoon longifolium,Azadirachta indica,Millettia pinnata和Aegle marmelos的叶样.
- 采用结构方程建模来分析植物生理指标和空气质量参数 (AQI,PM10) 之间的关系.
主要成果:
- 布巴内斯瓦尔的空气质量在COVID-19封锁期间有所改善.
- 红 (Mangifera indica) 对空气污染表现出中等耐受性,而其他研究物种是敏感的.
- 在含量,相对水含量,酸,叶子提取物pH,APTI,物种类型,AQI和PM10之间发现了显著的相关性.
结论:
- 该研究表明,减少车辆活动对城市空气质量的影响.
- 植物生物监测,使用APTI,有效地表明空气污染压力.
- 植物的生理参数是城市环境中空气质量和污染暴露的可靠指标.
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