交通信息与安全
交通信息與安全
교통신식여안전
Journal of Transport Information and Safety
2015年
5期
91-97,116
,共8页
张辰%李茹%罗柳红
張辰%李茹%囉柳紅
장신%리여%라류홍
交通工程%城市机动车尾气污染%高斯扩散模型%Mobile 6.2%排放因子
交通工程%城市機動車尾氣汙染%高斯擴散模型%Mobile 6.2%排放因子
교통공정%성시궤동차미기오염%고사확산모형%Mobile 6.2%배방인자
traffic engineering%gauss gas-diffusion model%vehicle exhaust pollution%Mobile6.2%emission factors
参照北京市主要干道车流量、中国统计年鉴所登记的北京市车型分布数据、油品使用以及气候数据,利用 Mobile6.2模型修正参数,得出北京市机动车尾气综合排放因子;利用上述数据结合高斯线源扩散模型借助 Matlab 编程计算,实现空间位置与浓度分布的结合。根据所得到的浓度图,可以看出,浓度分布于环路的位置有所重叠,并且集中分布在环路的1.5 km 范围内,以 SO 2为例,其环路1.5 km 范围的平均浓度值超出了大气二级质量标准上限值100倍,同时依据模型计算数据与真实观测点数据进行比较,发现误差控制在20%以内,模型表现良好。
參照北京市主要榦道車流量、中國統計年鑒所登記的北京市車型分佈數據、油品使用以及氣候數據,利用 Mobile6.2模型脩正參數,得齣北京市機動車尾氣綜閤排放因子;利用上述數據結閤高斯線源擴散模型藉助 Matlab 編程計算,實現空間位置與濃度分佈的結閤。根據所得到的濃度圖,可以看齣,濃度分佈于環路的位置有所重疊,併且集中分佈在環路的1.5 km 範圍內,以 SO 2為例,其環路1.5 km 範圍的平均濃度值超齣瞭大氣二級質量標準上限值100倍,同時依據模型計算數據與真實觀測點數據進行比較,髮現誤差控製在20%以內,模型錶現良好。
삼조북경시주요간도차류량、중국통계년감소등기적북경시차형분포수거、유품사용이급기후수거,이용 Mobile6.2모형수정삼수,득출북경시궤동차미기종합배방인자;이용상술수거결합고사선원확산모형차조 Matlab 편정계산,실현공간위치여농도분포적결합。근거소득도적농도도,가이간출,농도분포우배로적위치유소중첩,병차집중분포재배로적1.5 km 범위내,이 SO 2위례,기배로1.5 km 범위적평균농도치초출료대기이급질량표준상한치100배,동시의거모형계산수거여진실관측점수거진행비교,발현오차공제재20%이내,모형표현량호。
This paper develops a set of comprehensive factors for modeling vehicle emissions in Beijing,by using a calibrated of Mobile6.2 model in conjunction with the observed traffic volumes,the vehicle registration data from the Chi-na Statistical Yearbooks,the consumption of gas fuel and climate data of Beijing.Based on a Gauss diffusion formulation and a Matlab program,this paper develops presents the relationship between spatial distribution of vehicles and emission concentration under different conditions.The concentration maps show that the exhaust pollution is concentrated in the range of the area within 1.5 km around the ring roads;the average emission concentration is 100 times higher than the limits from the Air Quality Standard Grade 2 when taking SO 2 as an example.A comparison between the results from the model and the observed data is conducted and it is found that the relative deviation is less than 20%.