青島市重型柴油車污染物排放變化特征研究

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中圖分類號：U473.9

文獻標識碼：A

Study on Pollutant Emission Change Characteristics of Heavy Diesel Vehicles in Qingdao City

DING Xiaoyun1， ZHAO Hongl ，LUO Yong1 ，CHEN Junjie1 ， ZHANG Zeqian2（1.Collge of Mechanical and Electrical Engineering，Qingdao University，Qingdao 266071，China;2. Shenbang Intelligent Technology Group Co.，LTD.，Qingdao 266041，China）

Abstract：A thorough understanding of the pollutant emission characteristics of heavy-duty diesel vehicles is of great significance for the upgrading of the citys mobile pollution source monitoring methods. This study obtains the actual road emission data and driving condition data of heavy-duty diesel vehicles in Qingdao through remote monitoring methods. By using big data analysis techniques，the impact of specific power on the NOx and CO2 emissions of diesel vehicles was analyzed，as well as the temporal distribution characteristics of pollutant emissions. The results show that the contribution rates of NOx and CO2 pollutants under acceleration，constant speed， deceleration，and idle conditions decrease in sequence. Under uniform acceleration conditions，the emission factors of NOx and CO2 are relatively high in the low-speed condition range，slightly decrease in the medium-speed condition range，and continue to decrease in the high-speed condition range. Appropriately increasing the average driving speed of heavy-duty diesel vehicles can reduce their NOx and CO2 emissions. The pollutant emissions of heavy-duty diesel vehicles show a trend of being higher during the day and lower at night，with the peak emission period of NOx and CO2 being from 5：00 to 8：00 every day. Keywords： big data analysis；heavy-duty diesel vehicles；emission characteristics

近年來，城市空氣污染問題引起世界各國的廣泛關(guān)注，隨著中國機動車保有量的不斷增加，機動車排放帶來的城市空氣污染問題日益嚴重，已成為眾多學(xué)者探討的焦點。（剩余6724字）