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An on-road motor vehicle emissions inventory for Denver: an efficient alternative to modeling

机译:丹佛的公路机动车排放清单:建模的有效替代方案

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Emission inventories from mobile sources have traditionally been obtained through computational modeling. This method, however, has intrinsic shortcomings in that the factors used incorporate only a limited amount of real-world observations. The agreement between model predictions and measurements has often been poor. Recently, a fuel-based method of obtaining on-road emissions inventories has been developed. This technique calculates emission factors in grams of pollutant per unit of fuel used (kg, gallons or l) from remote sensing measurements. Combining these factors with fuel use data, available from tax records, results in a fuel-based emission inventory. This method for obtaining emission inventories is very economical and an ideal alternative for locations lacking the resources to develop an emissions model. We have used this routine to calculate CO, HC and NO on-road running exhaust emissions inventories for the Denver Metropolitan area during several years when the enhanced I/M program has been in place. These calculations indicate a continually decreasing inventory over the 6 yr study period. The calculations are also compared with results from the recent MOBILE6 model. The modeled inventories are 30-70% higher, 40% lower, and 40-80% higher for CO, HC and NO, respectively.
机译:传统上,移动来源的排放清单是通过计算模型获得的。然而,该方法具有内在的缺点,因为所使用的因素仅包含有限数量的现实世界观察。模型预测和测量之间的一致性通常很差。最近,已经开发了一种基于燃料的获取道路排放清单的方法。该技术通过遥感测量以每单位使用的燃料(千克,加仑或升)的污染物克数计算排放因子。将这些因素与可从税收记录中获得的燃料使用数据相结合,得出基于燃料的排放清单。这种获取排放清单的方法非常经济,对于缺乏资源来开发排放模型的地区来说,这是一种理想的选择。在增强型I / M计划到位的几年中,我们使用此例程来计算丹佛大都会地区的CO,HC和NO行驶中的废气排放清单。这些计算表明在6年的研究期内库存持续减少。计算结果也与最近的MOBILE6模型的结果进行了比较。 CO,HC和NO的模型库存分别增加了30-70%,40%和40-80%。

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