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Impacts of household sources on air pollution at village and regional scales in India

机译:家庭来源对印度乡村和区域规模的空气污染的影响

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Approximately 3 billion people worldwide cook with solid fuels, such as wood, charcoal, and agricultural residues. These fuels, also used for residential heating, are often combusted in inefficient devices, producing carbonaceous emissions. Between 2.6 and 3.8 million premature deaths occur as a result of exposure to fine particulate matter from the resulting household air pollution (Health Effects Institute, 2018a; World Health Organization, 2018). Household air pollution also contributes to ambient air pollution; the magnitude of this contribution is uncertain. Here, we simulate the distribution of the two major health-damaging outdoor air pollutants (PM sub2.5/sub and Osub3/sub ) using state-of-the-science emissions databases and atmospheric chemical transport models to estimate the impact of household combustion on ambient air quality in India. The present study focuses on New Delhi and the SOMAARTH Demographic, Development, and Environmental Surveillance Site (DDESS) in the Palwal District of Haryana, located about 80?km south of New Delhi. The DDESS covers an approximate population of 200?000 within 52?villages. The emissions inventory used in the present study was prepared based on a national inventory in India (Sharma et al., 2015, 2016), an updated residential sector inventory prepared at the University of Illinois, updated cookstove emissions factors from Fleming et al.?(2018b), and PM sub2.5/sub speciation from cooking fires from Jayarathne et al.?(2018). Simulation of regional air quality was carried out using the US Environmental Protection Agency Community Multiscale Air Quality modeling system (CMAQ) in conjunction with the Weather Research and Forecasting modeling system (WRF) to simulate the meteorological inputs for CMAQ, and the global chemical transport model GEOS-Chem to generate concentrations on the boundary of the computational domain. Comparisons between observed and simulated Osub3/sub and PM sub2.5/sub levels are carried out to assess overall airborne levels and to estimate the contribution of household cooking emissions. Observed and predicted ozone levels over New Delhi during September 2015, December 2015, and September 2016 routinely exceeded the 8?h Indian standard of 100 μ g?m sup?3/sup , and, on occasion, exceeded 180 μ g?m sup?3/sup . PM sub2.5/sub levels are predicted over the SOMAARTH headquarters (September?2015 and September?2016), Bajada Pahari (a village in the surveillance site; September?2015, December?2015, and September?2016), and New Delhi (September?2015, December?2015, and September?2016). The predicted fractional impact of residential emissions on anthropogenic PM sub2.5/sub levels varies from about 0.27 in SOMAARTH HQ and Bajada Pahari to about 0.10 in New Delhi. The predicted secondary organic portion of PM sub2.5/sub produced by household emissions ranges from 16?% to 80?%. Predicted levels of secondary organic PM sub2.5/sub during the periods studied at the four locations averaged about 30 μ g?m sup?3/sup , representing approximately 30?% and 20?% of total PM sub2.5/sub levels in the rural and urban stations, respectively.
机译:全球大约有30亿人使用固体燃料烹饪,例如木材,木炭和农业残留物。这些也用于住宅取暖的燃料通常在效率低下的设备中燃烧,产生碳排放。由于暴露于家庭空气污染引起的细小颗粒物质中,导致260至380万人过早死亡(健康影响研究所,2018a;世界卫生组织,2018年)。家庭空气污染也造成环境空气污染。这种贡献的大小尚不确定。在这里,我们使用最新的排放数据库和大气化学物质来模拟两种危害健康的主要室外空气污染物(PM 2.5 和O 3 )的分布交通模型来估计印度家庭燃烧对周围空气质量的影响。本研究的重点是新德里和位于新德里以南约80公里的哈里亚纳邦帕尔瓦尔区的SOMAARTH人口,发展和环境监视站点(DDESS)。 DDESS覆盖52个村庄中的大约200,000人口。本研究中使用的排放清单是基于印度的国家清单(Sharma等,2015,2016),伊利诺伊大学更新的住宅部门清单,Fleming等的炊具排放因子而编制的。 (2018b),以及Jayarathne等人(2018)的烹饪火中PM 2.5 形态。使用美国环境保护局社区多尺度空气质量建模系统(CMAQ)结合天气研究和预报建模系统(WRF)进行区域空气质量模拟,以模拟CMAQ的气象输入和全球化学运输模型GEOS-Chem在计算域的边界上生成浓度。对观测到的和模拟的O 3 和PM 2.5 水平进行了比较,以评估总体空气传播水平并估算家庭烹饪排放的贡献。 2015年9月,2015年12月和2016年9月在新德里观察和预测的臭氧水平通常超过了8?h印度标准100μg?m ?3 ,有时甚至超过了180μg g?m ?3 。预测SOMAARTH总部(2015年9月至2016年9月),Bajada Pahari(监视站点中的一个村庄; 2015年9月至2015年,2015年12月至2015年以及2016年9月)的PM 2.5 水平,和新德里(2015年9月至2015年12月至2016年9月)。预计住宅排放对人为PM 2.5 水平的部分影响范围从SOMAARTH总部和Bajada Pahari的约0.27到新德里的约0.10不等。由家庭排放产生的PM 2.5 的次级有机成分的预测范围为16%至80%。在四个地点研究期间,预测的次级有机PM 2.5 的平均水平约为30μg?m ?3 ,分别占总量的30%和20%。农村和城市站点的PM 2.5 水平。

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