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{"title":"COVID-19 Lock-down in Delhi: Understanding Trends of Particulate Matter in Context of Land-Use Patterns, GIS Mapping, and Meteorological Traits","authors":"Amrit Kumar, K. Sarma, A. Pandey, R. Mishra, P. Devara","doi":"10.1089/ees.2022.0020","DOIUrl":null,"url":null,"abstract":"The effectiveness and cost implications are always top factors for policy makers while deciding upon the appropriate air pollution abatement measures. The present study aimed to understand the actual particulate matter (PM2.5 and PM10) patterns during different phases of COVID-19 lockdown periods and depict their spatial distributions covering the 36 major areas in Delhi, India. Drastic visible reduction in both the pollutants was found during lockdown phase 1 and 2. Average PM2.5 reductions of 41.97%, 39.24%, 56.04%, and 56.77% were recorded comparing lockdown and/or study period with the years 2018, 2019, 2021, and 2022, respectively. Similar average reduction of PM10 to the magnitude of 51.72%, 48.95%, 48.24%, and 49.00% was found for the referred years. However, the reduction during the before-lockdown period of 2018 and 2019 and the year 2020 did not follow such radical reduction returning the values for PM2.5 as 7.66-14.88% and that for PM10 as 12.86-20.67%. The geospatial maps generated for Delhi city followed the similar findings at macro level depicting huge reduction in PM distribution classes for the study period. For instance, the percent surface area under \"moderately high\"polluted due to PM2.5 came down to 0.61 during lockdown phase 2 from 13.96 during January 2020. Further, about 15 of the 36 locations reported compliance to the National Ambient Air Quality Standards (NAAQS) for either of the pollutants during the study period. Nevertheless, such reductions are short-lived because the levels went up again in the years 2021 and 2022 (except similar lockdowns) as the situation got back to normal daily life activities postlockdown. Although, lockdown may be imposed in case of severe ambient air quality in a densely populated megacity like Delhi, it remains a temporary or quick-fix solution, to be looked as a last line of defense. © 2023 Mary Ann Liebert, Inc., publishers.","PeriodicalId":11777,"journal":{"name":"Environmental Engineering Science","volume":"34 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Engineering Science","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1089/ees.2022.0020","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
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2019冠状病毒病在德里的封锁:在土地利用模式、GIS制图和气象特征的背景下了解颗粒物的趋势
决策者在决定适当的空气污染消减措施时,效能和成本影响始终是首要考虑的因素。本研究旨在了解新冠肺炎封锁期间不同阶段的实际颗粒物(PM2.5和PM10)模式,并描绘其在印度德里36个主要地区的空间分布。在一级和二级封锁期间,两种污染物都明显减少。与2018年、2019年、2021年和2022年相比,封锁和(或)研究期间PM2.5的平均降幅分别为41.97%、39.24%、56.04%和56.77%。在上述年份,PM10的平均下降幅度相似,分别为51.72%、48.95%、48.24%和49.00%。然而,在封锁前的2018年和2019年以及2020年,PM2.5的值并没有大幅下降,PM2.5的值为7.66-14.88%,PM10的值为12.86-20.67%。为德里市生成的地理空间地图在宏观层面上也有类似的发现,显示了研究期间PM分布类别的大幅减少。例如,在第二阶段封锁期间,PM2.5污染“中等高度”的表面积百分比从2020年1月的13.96下降到0.61。此外,在研究期间,36个地点中约有15个报告污染物的排放符合国家环境空气质量标准(NAAQS)。然而,这种减少是短暂的,因为随着封锁后局势恢复正常的日常生活活动,2021年和2022年的水平再次上升(类似的封锁除外)。尽管在德里这样人口密集的大城市,如果环境空气质量严重,可能会实施封锁,但这仍然是一个临时或权宜之计,被视为最后一道防线。©2023 Mary Ann Liebert, Inc.,出版社。
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