Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Environ Sci Technol. 2012 Jan 17;46(2):1278-84. doi: 10.1021/es2032218. Epub 2012 Jan 6.
Black carbon (BC) is a key short-lived climate change forcer. Motor vehicles are important sources of BC in the environment. BC emission factors (EF(BC)), defined as BC emitted per mass of fuel consumed, are critical in the development of BC emission inventories for motor vehicles. However, measured EF(BC) for motor vehicles vary in orders of magnitude, which is one of the major sources of uncertainty in the estimation of emissions. In this study, the main factors affecting EF(BC) for motor vehicles were investigated based on 385 measured EF(BC) collected from the literature. It was found that EF(BC) for motor vehicles of a given year in a particular country can be predicted using gross domestic product per capita (GDP(c)), temperature, and the year a country's GDP(c) reached 3000 USD (Y(3000)). GDP(c) represents technical progress in terms of emission control, while Y(3000) suggest the technical transfer from developed to developing countries. For global BC emission calculations, 87 and 64% of the variation can be eliminated for diesel and gasoline vehicles by using this model. In addition to a reduction in uncertainty, the model can be used to develop a global on-road vehicle BC emission inventory with spatial and temporal resolution.
黑碳(BC)是一种重要的短寿命气候变化强迫因子。机动车是环境中 BC 的重要来源。BC 排放因子(EF(BC))定义为每消耗单位质量燃料所排放的 BC 量,对于机动车 BC 排放清单的开发至关重要。然而,机动车的实测 EF(BC)在数量级上存在差异,这是排放估算不确定性的主要来源之一。在本研究中,基于文献中收集的 385 个实测 EF(BC),研究了影响机动车 EF(BC)的主要因素。结果表明,特定国家特定年份的机动车 EF(BC)可以用人均国内生产总值(GDP(c))、温度和一个国家的 GDP(c)达到 3000 美元的年份(Y(3000))来预测。GDP(c)代表了排放控制方面的技术进步,而 Y(3000)则表明了技术从发达国家向发展中国家的转移。对于全球 BC 排放计算,该模型可以分别减少 87%和 64%的柴油和汽油车的不确定性。除了减少不确定性外,该模型还可用于开发具有时空分辨率的全球道路车辆 BC 排放清单。