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Fuel-Based Emission Inventory for Planning Gasoline Quality Modifications in Indian Mega City

机译:用于策划汽油质量修改的燃料排放库存在印度巨型市中心

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Emission inventory has been prepared using bottom up approach by taking vehicle counts at 40 major traffic junctions in Greater Mumbai and fuel-based emission factors. A spreadsheet-based model has been developed in this study. The emission factors based on variations in gasoline quality were derived using the US EPA's "Complex" model. A detail emission inventory for gasoline-driven vehicles was prepared with respect to volatile organic compounds (VOCs), toxic air pollutants (TAP) and nitrogen oxides (NO{sub}x) using vehicle count data, growth rate of vehicles and usage characteristics in Greater Mumbai. Five pollutants were considered in TAP category: Benzene, 1,3-Butadiene, Polycyclic organic matter, Formaldehyde, and Acetaldehyde. The present and projected air toxic emission inventory using planned improvement in gasoline quality has been prepared for estimating the effect of fuel quality modifications. Although the COMPLEX model does not include vehicle technology type, the estimated abatement in emission load using emission factors derived would provide a good sensitivity analysis for gasoline quality modifications. The other major advantage of this approach could be the possible correlation of emission profile computations using fuel sold versus fuel used in a given area.
机译:通过在更大的孟买和基于燃料的排放因子的40个主要交通交界处,使用自下而上的方法制备了排放库存。本研究开发了一种基于电子表格的模型。使用美国EPA的“复杂”模型来源基于汽油质量变化的排放因子。使用车辆计数数据,车辆的生长速率和使用特性,相对于挥发性有机化合物(VOC),有毒空气污染物(TAP),有毒空气污染物(TAP)和氮氧化物(NO {Sub} x)制备汽油驱动车辆的细节排放清单。更大的孟买。在Tap类别中考虑了五种污染物:苯,1,3-丁二烯,多环有机物,甲醛和乙醛。目前和投影的空气有毒排放库存,采用汽油质量的综合性,已准备估算燃料质量修改的影响。虽然复杂的模型不包括车辆技术类型,但是使用衍生的排放因子的排放负荷估计的减排将为汽油质量修饰提供良好的敏感性分析。这种方法的其他主要优点可以是利用所使用的燃料销售的燃料与给定区域中使用的燃料的可能相关性的相关性。

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