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Estimating criteria pollutant emissions using the California Regional Multisector Air Quality Emissions (CA-REMARQUE) model v1.0

机译:利用加州区域多区空气质量排放(CA-remarque)估算标准排放标准污染物排放量v1.0

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摘要

The California Regional Multisector Air Quality Emissions (CA-REMARQUE) modelis developed to predict changes to criteria pollutant emissions inventoriesin California in response to sophisticated emissions control programsimplemented to achieve deep greenhouse gas (GHG) emissions reductions. Twoscenarios for the year 2050 act as the starting point for calculations:a business-as-usual (BAU) scenario and an 80 % GHG reduction (GHG-Step)scenario. Each of these scenarios was developed with an energy economic modelto optimize costs across the entire California economy and so they includechanges in activity, fuels, and technology across economic sectors. Separatealgorithms are developed to estimate emissions of criteria pollutants (ortheir precursors) that are consistent with the future GHG scenarios for thefollowing economic sectors: (i) on-road, (ii) rail and off-road, (iii) marineand aviation, (iv) residential and commercial, (v) electricity generation,and (vi) biorefineries. Properly accounting for new technologies involvingelectrification, biofuels, and hydrogen plays a central role in thesecalculations. Critically, criteria pollutant emissions do not decreaseuniformly across all sectors of the economy. Emissions of certain criteriapollutants (or their precursors) increase in some sectors as part of theoverall optimization within each of the scenarios. This produces nonuniformchanges to criteria pollutant emissions in close proximity to heavilypopulated regions when viewed at 4 km spatial resolution withimplications for exposure to air pollution for those populations. Asa further complication, changing fuels and technology also modify thecomposition of reactive organic gas emissions and the size and composition ofparticulate matter emissions. This is most notably apparent througha comparison of emissions reductions for different size fractions of primaryparticulate matter. Primary PM2.5 emissions decrease by 4 % inthe GHG-Step scenario vs. the BAU scenario while corresponding primaryPM0.1 emissions decrease by 36 %. Ultrafineparticles (PM0.1) are an emerging pollutant of concern expected toimpact public health in future scenarios. The complexity of this situationillustrates the need for realistic treatment of criteria pollutant emissionsinventories linked to GHG emissions policies designed for fully developedcountries and states with strict existing environmental regulations.
机译:加州地区多元化器空气质量排放(CA-remarque)模型开发用于预测标准污染物排放库存的变化在加利福尼亚州响应复杂的排放控制计划实施以实现深温室气体(GHG)排放减少。二2050年度的情景充当计算的起点:常用商业(BAU)情景和80%GHG减少(GHG-Step)设想。这些方案中的每一个都与能量经济模式开发优化整个加州经济的成本,所以它们包括经济部门的活动,燃料和技术的变化。分离开发了算法以估算标准污染物的排放(或他们的前体)与未来的温室气体情景一致以下经济部门:(i)路上,(ii)铁路和越野,(三)海洋和航空,(iv)住宅和商业,(v)发电,(vi)生物寄生。适当占涉及新技术的核算电气化,生物燃料和氢气在这些中起着核心作用计算。批判性地,标准污染物排放不会减少统一地跨越经济的所有部门。某些标准的排放污染物(或其前体)随着部分部门的增加而增加每个场景中的整体优化。这产生了不均匀的改变了靠近严重的标准污染物排放以4公里的空间分辨率查看时填充的区域对这些人群的空气污染暴露的影响。作为进一步的并发症,改变燃料和技术也修改了反应性有机气体排放的组成和尺寸和组成微粒物质排放。这是最明显的初级大小分数排放减少的比较颗粒物质。主要PM2.5排放减少4%相应的主要期间GHG-Step场景与BAU场景PM0.1排放减少36%。超细粒子(PM0.1)是一种令人担忧的新兴污染物在未来的情景下影响公共卫生。这种情况的复杂性说明了对污染物排放标准的现实处理的需要与全面开发的温室气体排放政策有关的库存国家和国家具有严格的环境法规。

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