Observational Inferences of NOx and CO Emission Factors for Vehicles and Homes in the San Francisco Bay Area

Yishu Zhu, Milan Y. Patel, Anna R. Winter, Naomi G. Asimow and Ronald C. Cohen*, 
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Abstract

We present the seasonal variations of enhancement ratios (ERs, i.e., ΔNOx/ΔCO2 and ΔCO/ΔCO2) as a function of distance from highways in the San Francisco Bay Area, using observations from the Berkeley Environmental Air Quality and CO2 Network (BEACO2N) at 40 locations. The spatial patterns exhibit exponential distance-decay relationships, with higher NOx and CO ERs near highways and more uniform ERs at distances beyond 3 km. These patterns are used to infer emission factors (EFs) for transportation and residential buildings. BEACO2N-derived EFs for CO (7.8 ± 0.6 ppbv/ppmv) and NOx (1.0 ± 0.02 ppbv/ppmv) from transportation agree with inventory estimates. In contrast, the residential NOx EF (0.15 ± 0.01 ppbv/ppmv) is four times lower than inventory estimates, and the residential CO EF (4.3 ± 0.3 ppbv/ppmv) is 33% lower than the California state inventory estimate.

Abstract Image

旧金山湾区车辆和家庭氮氧化物和一氧化碳排放因子的观测推断
我们利用伯克利环境空气质量和二氧化碳网络(BEACO2N)在40个地点的观测数据,将增强比率(ERs,即ΔNOx/ΔCO2和ΔCO/ΔCO2)的季节变化作为与旧金山湾区高速公路距离的函数。空间格局表现为指数距离衰减关系,高速公路附近的NOx和CO er较高,距离超过3 km的er更均匀。这些模式被用来推断交通和住宅建筑的排放因子。由beaco2n导出的运输CO(7.8±0.6 ppbv/ppmv)和NOx(1.0±0.02 ppbv/ppmv)的EFs与库存估算值一致。相比之下,住宅NOx EF(0.15±0.01 ppbv/ppmv)比库存估计值低4倍,住宅CO EF(4.3±0.3 ppbv/ppmv)比加利福尼亚州库存估计值低33%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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