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Localization and Evaluation of Motor Vehicle Emission Simulator (MOVES) Model for Predicting the Emissions of Private Cars:a Case Study of Shenzhen City,China

Localization and Evaluation of Motor Vehicle Emission Simulator (MOVES) Model for Predicting the Emissions of Private Cars:a Case Study of Shenzhen City,China
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摘要 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%. 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%.
作者 曹杨 曹罡 郭园园 黄文伟 王乾 朱荣淑 欧阳峰 CAO Yang;CAO Gang;GUO Yuanyuan;HUANG Wenwei;WANG Qian;ZHU Rongshu;OUYANG Feng
出处 《Journal of Donghua University(English Edition)》 EI CAS 2019年第3期247-254,共8页 东华大学学报(英文版)
基金 National Natural Science Foundation of China(No.21307022) Research and Development of Science and Technology in Shenzhen,China(Nos.JCYJ20150625142543472,ZDSYS201603301417588,JCYJ20120613150606279) Shenzhen Urban Planning and Land Development Research Center,China(No.2016FY0013-1523)
关键词 motor VEHICLE EMISSION SIMULATOR (MOVES) MODEL LOCALIZATION base EMISSION rate VEHICLE EMISSION factor motor vehicle emission simulator(MOVES) model localization base emission rate vehicle emission factor
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