| 区域汽车CO2排放量估算与CO2排放因子研究——以江苏省为例 |
| Study on Regional CO2 Emission Estimation and CO2 Emission Factors of Vehicles:A Case Study of Jiangsu Province |
| 投稿时间：2024-12-02 修订日期：2025-05-20 |
| DOI：10.19316/j.issn.1002-6002.2026.01.12 |
| 中文关键词: 江苏省 汽车 碳排放 CO2排放因子 |
| 英文关键词:Jiangsu Province vehicle carbon emission CO2 emission factor |
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| 中文摘要: |
| 基于保有量法估算了2022年江苏省汽车CO2排放量,同时结合江苏省环境监测中心对省内生产和销售的重点车型的实际道路便携式排放测试系统(PEMS)排放测试结果,建立了江苏省本地化汽车CO2排放因子模型。结果显示:从车辆类型层面来看,小型汽油客车、重型柴油货车、轻型柴油货车分别以60.76%、27.57%、3.95%的碳排放贡献率占据前三;从排放标准层面来看,国五、国四、国六标准车辆分别以33.95%、28.25%、25.28%的碳排放贡献率占据前三;从地区层面来看,苏州、南京和无锡碳排放贡献率居于10%~21%区间,徐州、南通、常州、盐城碳排放贡献率居于6%~10%区间,其他城市处在4%左右。基于本研究建立的汽车CO2排放因子模型估算得到的江苏省国六汽车碳排放总量,相比基于《大气污染物与温室气体融合排放清单编制技术指南(试行)》推荐值估算得到的碳排放总量上浮了5.3%。基于国六PEMS试验获取的绝大多数车型的CO2平均排放因子要高于推荐值。不同汽车通过远程监控和PEMS试验两种方式获取的CO2排放因子存在较大偏差,同一辆车的CO2排放因子会受驾驶行为、车辆载荷及环境温度等因素变化的影响而出现偏差。 |
| 英文摘要: |
| This study estimated CO2 emissions of vehicles in Jiangsu Province in 2022 based on the ownership method.At the same time,by integrating the actual road portable emission testing system (PEMS) test results of key vehicle models produced and sold in the province by Jiangsu Environmental Monitoring Center,a localized CO2 emissions factor model for vehicles in Jiangsu Province was established.The results show that according to the perspective of vehicle types,CO2 emissions of small gasoline buses,heavy diesel trucks,and light diesel trucks accounted for 60.76%,27.57% and 3.95%,respectively.According to the emission standard,the proportion of vehicle emissions that meet the emission standard of China 5,China 4 and China 6 were 33.95%,28.25% and 25.28%,respectively.According to the region,the carbon emission contribution rates of Suzhou,Nanjing and Wuxi were in the range of 10%-21%,while Xuzhou,Nantong,Changzhou,and Yancheng were in the range of 6%-10%,and the remaining cities were about 4%.Based on the CO2 emission factor model of vehicles established by this study,the total carbon emissions of China 6 vehicles in Jiangsu Province was estimated to be 5.3% higher than the estimate based on the recommended values from the Technical Guide for Compiling Integrated Emission Inventory of Air Pollutants and Greenhouse Gases (Trial).There was a large deviation between the CO2 emission factors obtained by remote monitoring data and those obtained by PEMS test.Furthermore,the CO2 emission factors of the same vehicle can vary due to changes in driving behavior,vehicle loads and ambient temperature. |
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