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新冠疫情期间限制排放对印度空气质量的影响。

Effect of restricted emissions during COVID-19 on air quality in India.

机构信息

Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India.

Department of Environmental Science and Engineering, Fudan University, Shanghai, China.

出版信息

Sci Total Environ. 2020 Aug 1;728:138878. doi: 10.1016/j.scitotenv.2020.138878. Epub 2020 Apr 22.

Abstract

The effectiveness and cost are always top factors for policy-makers to decide control measures and most measures had no pre-test before implementation. Due to the COVID-19 pandemic, human activities are largely restricted in many regions in India since mid-March of 2020, and it is a progressing experiment to testify effectiveness of restricted emissions. In this study, concentrations of six criteria pollutants, PM, PM, CO, NO, ozone and SO during March 16th to April 14th from 2017 to 2020 in 22 cities covering different regions of India were analysed. Overall, around 43, 31, 10, and 18% decreases in PM, PM, CO, and NO in India were observed during lockdown period compared to previous years. While, there were 17% increase in O and negligible changes in SO. The air quality index (AQI) reduced by 44, 33, 29, 15 and 32% in north, south, east, central and western India, respectively. Correlation between cities especially in northern and eastern regions improved in 2020 compared to previous years, indicating more significant regional transport than previous years. The mean excessive risks of PM reduced by ~52% nationwide due to restricted activities in lockdown period. To eliminate the effects of possible favourable meteorology, the WRF-AERMOD model system was also applied in Delhi-NCR with actual meteorology during the lockdown period and an un-favourable event in early November of 2019 and results show that predicted PM could increase by only 33% in unfavourable meteorology. This study gives confidence to the regulatory bodies that even during unfavourable meteorology, a significant improvement in air quality could be expected if strict execution of air quality control plans is implemented.

摘要

有效性和成本一直是政策制定者决定控制措施的首要因素,而且大多数措施在实施前都没有经过预先测试。由于 COVID-19 大流行,自 2020 年 3 月中旬以来,印度许多地区的人类活动受到了极大限制,这是一个正在进行的实验,旨在验证限制排放的效果。在这项研究中,分析了 2017 年至 2020 年 3 月 16 日至 4 月 14 日期间印度 22 个城市的六种标准污染物(PM、PM、CO、NO、臭氧和 SO)的浓度,这些城市覆盖了印度不同地区。总体而言,与前几年相比,封锁期间印度的 PM、PM、CO 和 NO 浓度分别下降了约 43%、31%、10%和 18%。而 O 浓度增加了 17%,SO 浓度几乎没有变化。印度北部、南部、东部、中部和西部的空气质量指数(AQI)分别下降了 44%、33%、29%、15%和 32%。与前几年相比,2020 年各城市之间的相关性特别是北部和东部地区的相关性有所改善,表明与前几年相比,区域间的传输更为显著。由于封锁期间活动受限,全国范围内 PM 的过度风险平均降低了约 52%。为了消除可能有利的气象条件的影响,还在德里- NCR 应用了 WRF-AERMOD 模型系统,并在封锁期间使用了实际气象条件,以及 2019 年 11 月初的不利事件,结果表明,在不利气象条件下,预测 PM 仅增加 33%。这项研究使监管机构有信心相信,即使在不利的气象条件下,如果严格执行空气质量控制计划,空气质量也会有显著改善。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a01/7175882/a359be276b3b/ga1_lrg.jpg

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