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A fuel-based approach to estimating motor vehicle exhaust emissions.

机译:一种基于燃料的方法来估算机动车尾气排放。

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Motor vehicles contribute significantly to air pollution problems; accurate motor vehicle emission inventories are therefore essential to air quality planning. Current travel-based inventory models use emission factors measured from potentially biased vehicle samples and predict fleet-average emissions which are often inconsistent with on-road measurements. This thesis presents a fuel-based inventory approach which uses emission factors derived from remote sensing or tunnel-based measurements of on-road vehicles. Vehicle activity is quantified by statewide monthly fuel sales data resolved to the air basin level.; Development of the fuel-based approach includes (1) a method for estimating cold start emission factors, (2) an analysis showing that fuel-normalized emission factors are consistent over a range of positive vehicle loads and that most fuel use occurs during loaded-mode driving, (3) scaling factors relating infrared hydrocarbon measurements to total exhaust volatile organic compound (VOC) concentrations, and (4) an analysis showing that economic factors should be considered when selecting on-road sampling sites.; The fuel-based approach was applied to estimate carbon monoxide (CO) emissions from warmed-up vehicles in the Los Angeles area in 1991, and CO and VOC exhaust emissions for Los Angeles in 1997. The fuel-based CO estimate for 1991 was higher by a factor of 2.3 ± 0.5 than emissions predicted by California's MVEI 7F model. Fuel-based inventory estimates for 1997 were higher than those of California's updated MVEI 7G model by factors of 2.4 ± 0.2 for CO and 3.5 ± 0.6 for VOC. Fuel-based estimates indicate a 20% decrease in the mass of CO emitted, despite an 8% increase in fuel use between 1991 and 1997; official inventory models predict a 50% decrease in CO mass emissions during the same period. Cold start CO and VOC emission factors derived from parking garage measurements were lower than those predicted by the MVEI 7G model. Current inventories in California appear to understate total exhaust CO and VOC emissions, while overstating the importance of cold start emissions. The fuel-based approach yields robust, independent, and accurate estimates of on-road vehicle emissions. Fuel-based estimates should be used to validate or adjust official vehicle emission inventories before society embarks on new, more costly air pollution control programs.
机译:机动车辆是造成空气污染问题的重要因素。因此,准确的机动车排放清单对于空气质量计划至关重要。当前基于旅行的库存模型使用从可能有偏差的车辆样本中测量的排放因子,并预测车队平均排放量,这些排放量通常与路上的测量值不一致。本文提出了一种基于燃料的清单方法,该方法使用了从遥感或基于公路车辆的隧道测量中得出的排放因子。车辆活动通过解析为空气盆地水平的全州每月燃油销售数据进行量化。以燃料为基础的方法的发展包括(1)一种估算冷启动排放因子的方法,(2)分析表明,在一定的车辆正载荷范围内,以燃料标准化的排放因子是一致的,并且大多数燃料消耗发生在有载时-模式驱动;(3)将红外碳氢化合物测量结果与总排气挥发性有机化合物(VOC)浓度相关的比例因子;以及(4)分析表明,在选择道路采样地点时应考虑经济因素;基于燃料的方法用于估算1991年洛杉矶地区暖车中的一氧化碳(CO)排放量,以及1997年用于洛杉矶的CO和VOC尾气排放量。1991年基于燃料的CO估算值较高比加州MVEI 7F模型预测的排放量降低2.3±0.5倍。 1997年以燃料为基础的库存估算值比加利福尼亚更新的MVEI 7G模型的估算值高2.4到0.2倍(CO)和3.5到0.6倍(VOC)。基于燃料的估算表明,尽管1991年至1997年间燃料使用量增加了8%,但二氧化碳排放量却减少了20%。官方清单模型预测,同期CO排放量将减少50%。从停车场测量得出的冷启动CO和VOC排放因子低于MVEI 7G模型预测的那些。加利福尼亚州的当前清单似乎低估了总的废气CO和VOC排放,同时高估了冷启动排放的重要性。基于燃料的方法可对道路车辆的排放量进行可靠,独立和准确的估算。在社会着手制定新的,成本更高的空气污染控制计划之前,应使用基于燃料的估算来验证或调整官方车辆排放清单。

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