Federal University of Technology - Parana, Av. Dos Pioneiros, 3131, Londrina, 86047-125, Brazil.
Federal University of Technology - Parana, Av. Dos Pioneiros, 3131, Londrina, 86036-370, Brazil.
Environ Sci Pollut Res Int. 2020 Oct;27(29):35941-35951. doi: 10.1007/s11356-020-08281-7. Epub 2020 Mar 11.
In this work, atmospheric pollutant emissions of NO, SO, CO, particulate matter (PM), total organic compounds (TOC), and CO from larger stationary sources of pollutants in Brazil were inventoried and spatialized over the whole Brazilian territory for the base year 2011. The developed inventory comprises a total of 16 refining units, 1730 thermoelectric power plants (TPPs), 96 cement industries, and 64 paper and cellulose industries. To obtain the dataset, some strategies were used, including mail contact, official datasets, personal requesting, web maps usage, and official industry websites. The emission factors were based on lower and upper limits proposed by the AP-42 standards of the US Environmental Protection Agency - USEPA, as well as, emission factors provided by air pollution control agencies, industries, and those identified in the scientific literature. The results show values of 857 ± 415 Gg/year for NO, 1.51 ± 1.23 Tg/year for SO, 21.2 ± 13.7 Tg/year for CO, 10.4 ± 10.1 Tg/year for PM, 1.14 ± 0.95 Tg/year for TOC, and 476 ± 142 Tg/year for CO. In comparison with the official vehicular emission inventory provided by the Ministry of Environment for the year 2011, the total NO emissions estimated in this work were slightly lower than vehicular emissions, while SO was 300 times greater than vehicular emissions. For CO, the stationary emissions inventoried were around 17 times greater than vehicular emissions, while PM was approximately 360 times greater than those from vehicles. In terms of comparison with existing global databases, the estimates of this work showed a good level of agreement with the pollutants estimated by the Global Emissions EDGAR v4.3.1, except for PM and CO, which were higher in our estimates. The major contribution of the proposed inventory lies in its improved spatialized distribution, higher resolution, and greater distinctness about the high level of uncertainty associated with the emission inventories for the region.
在这项工作中,对巴西较大固定污染源的污染物(NO、SO、CO、颗粒物(PM)、总有机化合物(TOC)和 CO)的大气污染物排放量进行了清查和空间化,范围覆盖整个巴西领土,基准年为 2011 年。所开发的清单包括总共 16 个炼油厂、1730 个火力发电厂(TPP)、96 家水泥厂和 64 家造纸和纸浆厂。为了获取数据集,使用了一些策略,包括邮件联系、官方数据集、个人请求、使用网络地图和官方行业网站。排放因子基于美国环保署(USEPA)AP-42 标准提出的下限和上限,以及空气污染控制机构、行业以及科学文献中确定的排放因子。结果表明,NO 的排放量为 857±415 Gg/年,SO 的排放量为 1.51±1.23Tg/年,CO 的排放量为 21.2±13.7Tg/年,PM 的排放量为 10.4±10.1Tg/年,TOC 的排放量为 1.14±0.95Tg/年,CO 的排放量为 476±142Tg/年。与环境部 2011 年提供的官方车辆排放清单相比,本工作估计的总 NO 排放量略低于车辆排放,而 SO 则高出 300 倍。对于 CO,清查的固定源排放量约为车辆排放量的 17 倍,而 PM 则约为车辆排放量的 360 倍。就与现有全球数据库的比较而言,本工作的估计值与全球排放 EDGAR v4.3.1 估计的污染物水平相当一致,除了 PM 和 CO,它们在我们的估计值中更高。该清单的主要贡献在于其改进的空间化分布、更高的分辨率以及对该地区排放清单相关高水平不确定性的更大区分度。