Surface concentrations of PM2.5 in Africa in 2012 and 2030
收藏rdr.ucl.ac.uk2023-06-02 更新2025-01-21 收录
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https://rdr.ucl.ac.uk/articles/dataset/Surface_concentrations_of_PM2_5_in_Africa_in_2012_and_2030/14595729/1
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Gridded surface concentrations of fine particles or PM2.5 in Africa in 2012 and 2030 to determine the impact of increased adoption of fossil fuels on health. Surface concentrations were obtained with the GEOS-Chem chemical transport model simulated regionally over Africa at 0.5 degrees latitude by 0.667 degrees longitude.The 2012 simulation uses updated estimates of emissions from fossil fuels used for vehicles and electricity generation. The 2030 simulation uses the same 2012 meteorology, but with updated PM2.5 precursor emissions that account for growth in vehicle ownership from 2012 to 2030 and increased electricity generating capacity from fossil fuelled power plants that are under consideration, planned, being constructed, or being commissioned.The difference between the 2030 and 2012 PM2.5 values provides an estimate of the PM2.5 from growth in fossil fuel use in Africa over this time period and was used in the publication cited below to estimate the number of premature deaths that could be avoided by not adopting fossil fuels.
本数据集收录了2012年和2030年非洲地区细颗粒物(PM2.5)的网格化地表浓度,旨在探究化石燃料使用增加对健康的影响。地表浓度数据是通过GEOS-Chem化学传输模型在非洲区域进行模拟得到的,模拟分辨率为0.5度纬度×0.667度经度。2012年的模拟基于对车辆和电力生成所使用的化石燃料排放量的更新估计。2030年的模拟则采用与2012年相同的气象数据,但更新了PM2.5前体物排放量,以反映2012年至2030年间汽车拥有量的增长以及考虑中、计划中、建设中或已投入运行的化石燃料发电厂的电力生成能力增加。2030年与2012年PM2.5值之间的差异提供了非洲在此期间化石燃料使用增长导致的PM2.5浓度估计,并已被用于下述出版物中,以估算通过不采用化石燃料可能避免的过早死亡人数。
提供机构:
University College London



