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首页> 外文期刊>Journal of the air & waste management association >A more accurate method using MOVES (Motor Vehicle Emission Simulator) to estimate emission burden for regional-level analysis
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A more accurate method using MOVES (Motor Vehicle Emission Simulator) to estimate emission burden for regional-level analysis

机译:使用MOVES(机动车排放模拟器)估算排放负荷以进行区域级分析的更准确方法

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The U.S. Environmental Protection Agency's (EPA) Motor Vehicle Emission Simulator (MOVES) is required by the EPA to replace Mobile 6 as an official on-road emission model. Incorporated with annual vehicle mile traveled (VMT) by Highways Performance Monitoring System (HPMS) vehicle class, MOVES allocates VMT from HPMS to MOVES source (vehicle) types and calculates emission burden by MOVES source type. However, the calculated running emission burden by MOVES source type may be deviated from the actual emission burden because of MOVES source population, specifically the population fraction by MOVES source type in HPMS vehicle class. The deviation is also the result of the use of the universal set of parameters, i.e., relative mileage accumulation rate (relativeMAR), packaged in MOVES default database. This paper presents a novel approach by adjusting the relativeMAR to eliminate the impact of MOVES source population on running exhaust emission and to keep start and evaporative emissions unchanged for both MOVES2010b and MOVES2014. Results from MOVES runs using this approach indicated significant improvements on VMT distribution and emission burden estimation for each MOVES source type. The deviation of VMT by MOVES source type is minimized by using this approach from 12% to less than 0.05% for MOVES2010b and from 50% to less than 0.2% for MOVES2014 except for MOVES source type 53. Source type 53 still remains about 30% variation. The improvement of VMT distribution results in the elimination of emission burden deviation for each MOVES source type. For MOVES2010b, the deviation of emission burdens decreases from -12% for particulate matter less than 2.5 [im (PM_(2.5)) and -9% for carbon monoxide (CO) to less than 0.002%. For MOVES2014, it drops from 80% for CO and 97% for PM_(2.5) to 0.006%.
机译:EPA要求美国环境保护署(EPA)的机动车排放模拟器(MOVES)取代Mobile 6作为官方的公路排放模型。通过结合高速公路性能监控系统(HPMS)车辆类别的年度行驶英里数(VMT),MOVES将HPMS中的VMT分配给MOVES源(车辆)类型,并根据MOVES源类型计算排放负担。但是,由于MOVES源的数量,特别是HPMS车辆类别中MOVES源类型的人口比例,可能会因MOVES源类型计算的行驶排放负担与实际排放负担有所偏差。偏差也是由于使用通用参数集(即相对里程累积率(relativeMAR))打包在MOVES默认数据库中的结果。本文介绍了一种新颖的方法,即通过调整相对MAR来消除MOVES源种群对运行中的废气排放的影响,并使MOVES2010b和MOVES2014的启动排放和蒸发排放保持不变。使用此方法进行的MOVES运行结果表明,对于每种MOVES源类型,VMT分布和排放负担估算都得到了显着改善。使用MOVES源类型,VMT的偏差可以最小化(对于MOVES2010b,从12%到小于0.05%,对于MOVES2014从50%到小于0.2%,除了MOVES源类型53。源类型53仍然保持约30%变异。 VMT分布的改善可消除每种MOVES源类型的排放负担偏差。对于MOVES2010b,排放负担的偏差从小于2.5 [im(PM_(2.5))的颗粒物的-12%和一氧化碳(CO)的-9%减小到小于0.002%。对于MOVES2014,它从CO的80%和PM_(2.5)的97%降至0.006%。

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