1990-2020年智利公路交通尾气排放高清晰空间分布图

M. Osses, N. Rojas, Cecilia Ibarra, Victoria C. Valdebenito, Ignacio Laengle, Nicolás Pantoja, Darío Osses, Kevin Basoa, Sebastián Tolvett, N. Huneeus, L. Gallardo, Benjamín Gómez
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引用次数: 6

摘要

摘要本描述文件对1990-2020年期间智利公路运输活动产生的废气污染物排放进行了详细和一致的估计和分析。1990-2020年期间的完整数据库可在以下网址获得:http://dx.doi.org/10.17632/z69m8xm843.2。提供了智利大陆18.5 S至53.2 S期间高空间分辨率(0.01°× 0.01°)的排放数据,包括当地污染物(CO、VOC、NOx、MP2.5)、黑碳(BC)和温室气体(CO2、CH4)。该方法考虑了70种车辆类型,基于10个车辆类别,细分为两种燃料类型和7个排放标准。车辆活动是根据车辆记录和车辆流量统计的官方数据库计算的。燃料消耗是根据车辆活动计算的,并与燃料销售进行对比,以校准初始数据集。排放系数主要来自COPERT 5,根据排放标准和燃料质量,根据智利15个政治区域的当地情况进行了调整。虽然车辆数量在1990年至2020年间增长了五倍,但二氧化碳排放量以较低的速度跟随这一趋势,由于更严格的减排技术、更好的燃料质量和排放标准的执行,当地污染物的排放量有所减少。换句话说,车队增长和排放量变化之间已经脱钩。结果与EDGAR数据集进行了对比,显示CO2估计值相似,PM、BC和CO存在显著差异;在氮氧化物和甲烷的情况下,直到2008年才出现巧合。在所有结果不同的情况下,EDGAR估计排放量更高。
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High-definition spatial distribution maps of on-road transport exhaust emissions in Chile, 1990–2020
Abstract. This description paper presents a detailed and consistent estimate and analysis of exhaust pollutant emissions generated by Chile's road transport activity for the period 1990–2020. The complete database for the period 1990–2020 is available at doi: http://dx.doi.org/10.17632/z69m8xm843.2. Emissions are provided at high-spatial resolution (0.01° × 0.01°) over continental Chile from 18.5 S to 53.2 S, including local pollutants (CO, VOC, NOx, MP2.5), black carbon (BC) and greenhouse gases (CO2, CH4). The methodology considers 70 vehicle types, based on ten vehicle categories, subdivided into two fuel types and seven emission standards. Vehicle activity was calculated based on official databases of vehicle records and vehicle flow counts. Fuel consumption was calculated based on vehicle activity and contrasted with fuel sales, to calibrate the initial dataset. Emission factors come mainly from COPERT 5, adapted to local conditions in the 15 political regions of Chile, based on emission standards and fuel quality. While vehicle fleet has grown fivefold between 1990 and 2020, CO2 emissions had followed this trend at a lower rate and emissions of local pollutants have decreased, due to stricter abatement technologies, better fuel quality and enforcement of emission standards. In other words, there has been decoupling between fleet growth and emissions’ rate of change. Results were contrasted with EDGAR datasets, showing similarities in CO2 estimations and striking differences in PM, BC and CO; in the case of NOx and CH4 there is coincidence only until 2008. In all cases of divergent results, EDGAR estimates higher emissions.
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