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| 1 | MOVES模型微观层次参数的深圳本土化研究显示文摘MOVES模型是基于美国实际情况建立的机动车排放因子模型,在使用该模型模拟我国城市的机动车排放情况时,需要将模型相关参数进行修正。为使MOVES模型能够准确模拟深圳机动车排放特征,基于深圳市的实际情况对地理信息、车辆类型、燃油、模拟年等MOVES模型微观层次默认参数进行本土化。在明确这些参数在MOVES模型中如何界定的前提下,根据深圳实际机动车相关情况对参数赋值。并且,对比分析了本土化前后MOVES模型估算结果与车载实测排放因子的相对误差。结果表明,NOx模拟效果显著改善,其中在快速路上的相对误差由365%减少至14%;CO2在本土化前后相对误差都较小,并且本土化之后的相对误差控制在20%以内;CO在本土化前后相对误差减少30~50%;但是对于HC而言,本土化前后模拟效果改善不明显,有较大提升空间。 | 曹杨 郭园园 曹罡 朱荣淑 | 2017 | 交通信息与安全2017，35，2： | 8 |
| 2 | Localization and Evaluation of Motor Vehicle Emission Simulator (MOVES) Model for Predicting the Emissions of Private Cars:a Case Study of Shenzhen City,China显示文摘Motor Vehicle emission simulator(MOVES)model was localized by changing the base emission rates in MySQL database of the model,and using the actual measured data for private cars in Shenzhen City,China.The performances of localized MOVES model and non-localized MOVES model were evaluated by comparing the predicted emission factors to the measured ones.The results showed that by localization of the base emission rates,the prediction accuracy of the localized MOVES model for hydrocarbon(HC)and nitrogen oxides(NO x)was significantly improved.The accuracy of the localized MOVES model simulations in the Opmode increased by 86%,88%and 71%for HC,76%,42%and 72%for NO x on arterial roads,expressways and highways.For carbon monoxide(CO),however,the simulation performance based on the average velocity mode on expressways and highways became poor after localization,with the decrease of 28%and 8%respectively.Overall,by the localization of the base emission rates,the relative errors of the simulated emission factors of HC,CO and NO x of private cars were less than 37%. | 曹杨 曹罡 郭园园 黄文伟 王乾 朱荣淑 欧阳峰 | 2019 | Journal of Donghua University(English Edition)2019，36，3： | 0 |
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