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Residential energy use emissions dominate health impacts from exposure to ambient particulate matter in India

机译:在印度居民能源使用排放占主要地位原因是接触环境颗粒物会对健康产生影响

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摘要

Exposure to ambient fine particulate matter (PM2.5) is a leading contributor to diseases in India. Previous studies analysing emission source attributions were restricted by coarse model resolution and limited PM2.5 observations. We use a regional model informed by new observations to make the first high-resolution study of the sector-specific disease burden from ambient PM2.5 exposure in India. Observed annual mean PM2.5 concentrations exceed 100 μg m−3 and are well simulated by the model. We calculate that the emissions from residential energy use dominate (52%) population-weighted annual mean PM2.5 concentrations, and are attributed to 511,000 (95UI: 340,000–697,000) premature mortalities annually. However, removing residential energy use emissions would avert only 256,000 (95UI: 162,000–340,000), due to the non-linear exposure–response relationship causing health effects to saturate at high PM2.5 concentrations. Consequently, large reductions in emissions will be required to reduce the health burden from ambient PM2.5 exposure in India.
机译:暴露于环境细颗粒物(PM2.5)是印度疾病的主要诱因。以前分析排放源归因的研究受到粗略模型分辨率和有限PM2.5观测值的限制。我们使用新观测结果为基础的区域模型,对印度PM2.5暴露引起的特定部门疾病负担进行了首次高分辨率研究。观测到的年平均PM2.5浓度超过100μgm -3 ,并通过模型进行了很好的模拟。我们计算得出,居民能源使用产生的排放占人口加权PM2.5平均年平均浓度的52%,每年归因于511,000(95UI:340,000–697,000)的过早死亡。但是,由于非线性的暴露-反应关系导致健康影响在高PM2.5浓度下达到饱和,因此消除居民能源使用排放量仅能避免256,000(95UI:162,000-340,000)。因此,将需要大幅度减少排放量,以减少印度环境PM2.5暴露给健康造成的负担。

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