Department of Civil Engineering, IIT Delhi, New Delhi, India; Central Pollution Control Board, New Delhi, India.
Department of Civil Engineering, IIT Delhi, New Delhi, India.
Environ Int. 2024 Sep;191:108979. doi: 10.1016/j.envint.2024.108979. Epub 2024 Aug 24.
Over a span of 34 years (1987-2019), an in-depth analysis of PM, SO, and NO trends across India was conducted using data from the National Ambient Air Quality Monitoring Programme's manual monitoring stations in 336 cities. The study encompassed six geographical regions over three time blocks, revealing a correlation between the expansion of monitoring networks and the nation's economic growth. Regions like the densely populated Indo-Gangetic Plains (IGP) and Central India consistently hosted more monitoring stations, while the Himalayan and Northeast regions saw substantial increases from initial scarcity. SO concentrations showed a declining trend, while NO levels remained relatively stable with intermittent fluctuations. Conversely, national average PM concentrations exhibited an upward trajectory, notably spiking by 128 % between 2006 and 2009 due to economic activities, construction, network expansion, the 2009 drought, and heightened coal consumption. Spatially, pollutant concentrations across three blocks demonstrated improved SO levels, several cities exceeding NO standards, and persistently high PM levels in the IGP. PM levels in block 3 were lower than in block 2, reflecting effective policy interventions. State rankings, however, did not consistently reflect pollutant trends across blocks. Regionally, the IGP consistently had the highest PM concentrations, while the Northeast recorded the lowest. Population-weighted exposure levels indicated an overall increase in public exposure to PM. Analysis of major city per region aligned with national trends, as evidenced by Delhi (IGP), Guwahati (Northeast), Vadodara (Northwest), and Bhopal (Central) showing increased PM concentrations since 2006, followed by intermittent declines. In contrast, Shimla (Himalayan) and Chennai (Southern) exhibited distinct patterns. Major industrial cities such as Parwanoo, Bongaigaon, Angul and Talcher, and Visakhapatnam mirrored national trends, with PM levels rising since 2009, highlighting the significant impact of industrial activities on air quality. This research underscores the need for targeted, effective mitigation strategies based on spatial and temporal pollutant trends.
在 34 年(1987-2019 年)的跨度内,通过使用来自全国环境空气质量监测计划手动监测站在 336 个城市的数据,对印度各地的 PM、SO 和 NO 趋势进行了深入分析。该研究涵盖了三个时间块的六个地理区域,揭示了监测网络的扩展与国家经济增长之间的相关性。像人口稠密的印度恒河平原(IGP)和印度中部这样的地区一直拥有更多的监测站,而喜马拉雅山脉和东北地区的监测站则从最初的稀缺状态大幅增加。SO 浓度呈下降趋势,而 NO 水平则相对稳定,伴有间歇性波动。相反,全国平均 PM 浓度呈上升趋势,特别是在 2006 年至 2009 年间,由于经济活动、建筑、网络扩展、2009 年干旱和煤炭消耗增加,PM 浓度飙升了 128%。从空间上看,三个时间段的污染物浓度表明 SO 水平有所改善,多个城市超过了 NO 标准,而 IGP 的 PM 水平仍然很高。第三时间段的 PM 浓度低于第二时间段,反映了有效的政策干预。然而,各州的排名并没有始终反映出不同时间段的污染物趋势。从区域上看,IGP 始终具有最高的 PM 浓度,而东北地区的 PM 浓度最低。人口加权暴露水平表明公众总体上对 PM 的暴露有所增加。对每个地区主要城市的分析与全国趋势一致,如德里(IGP)、古瓦哈蒂(东北地区)、瓦多达拉(西北部)和博帕尔(中部)自 2006 年以来 PM 浓度增加,随后间歇性下降。相比之下,西姆拉(喜马拉雅山脉)和钦奈(南部)则呈现出不同的模式。主要工业城市如帕万努、博加隆、安古尔和塔尔彻以及维沙卡帕特南,与全国趋势一致,自 2009 年以来 PM 水平上升,突出了工业活动对空气质量的重大影响。这项研究强调了需要根据空间和时间污染物趋势制定有针对性、有效的缓解策略。