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Analysis of PM2.5 Exposure Trends in Indian State Capitals between 2015-16 - an Environmental Justice and Equity Perspective

机译:2015-16年印度州首府PM2.5暴露趋势分析-环境正义与公平视角

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Introduction: Exposure to high levels of ambient particulate matter is a key risk factor for ill health in India with the Global burden of Disease ranking it the 3rd largest contributor to DALYs in 2016. Regulatory-grade monitoring, remains scarce outside a handful of major metropolitan centres, and this contributes to poor awareness of the scale and geography of the problem, and hampers documentation of health effects. It also contributes to a Delhi-centric approach to air pollution problem-solving, to the detriment of other parts of the country where exposure could be higher. Methods: We collected regulatory data on PM2.5 published by the Central Pollution Control Board for the years 2015-16 for all Indian State capitals. Annual and seasonal average PM2.5 was calculated for each city and region (South, West, Central, Indo-Gangetic Plain, and East). For periods where direct PM2.5 measurements were unavailable, station-specific or city-specific PM2.5/PM10 ratios were used to derive PM2.5 data. We also documented the number of stations per city and the data availability by station for all these state capitals. Results: Only one state capital (Aizawl) met WHO guidelines for annual average exposure, with 8 others meeting the more relaxed National Ambient Air Quality Standards. The central region registered the highest average PM2.5 levels, with little variation across seasons, compared with the IGP or other regions which exhibited strong seasonal variations in PM2.5 levels. The eastern region showed the lowest PM2.5 levels. Monitoring capacity and data availability across cities and regions varied greatly from. Conclusions: The Central Indian region has the highest exposure to ambient air pollution. In spite of it being a hub for the mining, power and steel industries, monitoring capacity in this region is scarce. Consequently, there is little discussion about the potential health impacts here. We believe this represents an environmental justice and equity issue.
机译:简介:暴露于高水平的环境颗粒物是印度疾病不佳的关键风险因素,在2016年,全球疾病负担将其列为DALY的第三大贡献者。在少数主要城市之外,法规级的监测仍然稀缺中心,这导致人们对该问题的规模和地理位置认识不足,并妨碍了对健康影响的记录。它还有助于以德里为中心的解决空气污染问题的方法,损害了该国其他地区的空气污染可能会更高。方法:我们收集了中央污染控制委员会发布的2015-16年度所有印度州首府PM2.5的监管数据。计算每个城市和地区(南部,西部,中部,印度恒河平原和东部)的年度和季节平均PM2.5。对于无法直接进行PM2.5测量的时期,使用特定于站点或特定于城市的PM2.5 / PM10比值来得出PM2.5数据。我们还记录了每个城市的车站数量以及所有这些州首府的车站数据可用性。结果:只有一个州首府(Aizawl)达到了WHO的年度平均暴露指南,另外8个州则达到了更为宽松的《国家环境空气质量标准》。与IGP或其他PM2.5含量表现出强烈季节性变化的地区相比,中部地区的PM2.5平均值最高,且整个季节变化不大。东部地区的PM2.5含量最低。各个城市和地区的监视能力和数据可用性差异很大。结论:中印度地区暴露于环境空气污染的程度最高。尽管它是采矿,电力和钢铁行业的枢纽,但对该地区的监控能力却十分匮乏。因此,在这里几乎没有关于潜在的健康影响的讨论。我们认为,这代表了环境正义和公平问题。

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