检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:马良涛[1] 黄福川[1] 梁正贤[1] 符侃 经建芳[1] 马骁飞[1]
机构地区:[1]广西大学化学化工学院,广西石化资源加工及过程强化技术重点实验室,广西南宁530000
出 处:《辽宁化工》2016年第1期56-58,共3页Liaoning Chemical Industry
摘 要:通过对南宁市天气、机动车数量、平均行驶里程等数据的调研,结合COPERT模型对南宁市机动车尾气排放因子进行计算,得出2014年南宁市机动车排放总量,并就机动车的速度、车型、燃料类型等特征与排放关系进行分析。结果如下:2014年南宁市机动车CO、NOx、VOC和PM的排放总量分别为94 689 t、40 942 t、32 873 t、1 822 t。其中排放CO和VOC最多的是小客车和摩托车,其贡献率达到了81.2%和80.6%;大客车和重型货车对NOx和PM有较大的贡献率,分别达到67.1%和91%。汽油车对CO和VOC有较大的贡献率,其排放贡献率为86.4%,NOx和PM的主要贡献率为柴油车,其贡献率分别为71.7%和91.4%。Through investigation of the weather, and amount, average mileage and other data of motor vehicles, combined with the COPERT model, the vehicle emission factor in Nanning City was calculated, the total emission in 2014 in Nanning was obtained, and relation between motor vehicle speed, vehicle types, fuel types and the total emission was analyzed. The results show that: CO, NOx, VOC and PM emissions in 2014 were 94 689 t, 40 942 t, 32 873 t, 1 822 t in Nanning city. Among them, CO and VOC were mainly discharged by passenger car and motorcycle, their contribution rates reached 81.2% and 80.6%. The large passenger cars and heavy goods vehicles had a greater contribution rate of 67.1% and 91%, respectively. Gasoline vehicles had a greater contribution rate for CO and VOC, the contribution rate of 86.4%, diesel vehicles had main contribution rate for NOx and PM, the contribution rate of 71.7% and 91.4% respectively.
分 类 号:TE991.1[石油与天然气工程—石油机械设备]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.148.200.110