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Cities traffic and CO2: A multidecadal assessment of trends drivers and scaling relationships

机译:城市交通和二氧化碳:趋势驱动因素和比例关系的多年代评估

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摘要

Emissions of CO2 from road vehicles were 1.57 billion metric tons in 2012, accounting for 28% of US fossil fuel CO2 emissions, but the spatial distributions of these emissions are highly uncertain. We develop a new emissions inventory, the Database of Road Transportation Emissions (DARTE), which estimates CO2 emitted by US road transport at a resolution of 1 km annually for 1980–2012. DARTE reveals that urban areas are responsible for 80% of on-road emissions growth since 1980 and for 63% of total 2012 emissions. We observe nonlinearities between CO2 emissions and population density at broad spatial/temporal scales, with total on-road CO2 increasing nonlinearly with population density, rapidly up to 1,650 persons per square kilometer and slowly thereafter. Per capita emissions decline as density rises, but at markedly varying rates depending on existing densities. We make use of DARTE’s bottom-up construction to highlight the biases associated with the common practice of using population as a linear proxy for disaggregating national- or state-scale emissions. Comparing DARTE with existing downscaled inventories, we find biases of 100% or more in the spatial distribution of urban and rural emissions, largely driven by mismatches between inventory downscaling proxies and the actual spatial patterns of vehicle activity at urban scales. Given cities’ dual importance as sources of CO2 and an emerging nexus of climate mitigation initiatives, high-resolution estimates such as DARTE are critical both for accurately quantifying surface carbon fluxes and for verifying the effectiveness of emissions mitigation efforts at urban scales.
机译:2012年,公路车辆的二氧化碳排放量为15.7亿吨,占美国化石燃料二氧化碳排放量的28%,但这些排放量的空间分布高度不确定。我们建立了一个新的排放清单,即道路运输排放数据库(DARTE),该数据库以1980-2012年每年1公里的分辨率估算美国道路运输的二氧化碳排放量。 DARTE透露,自1980年以来,城市地区占道路排放量增长的80%,占2012年排放总量的63%。我们在宽广的时空尺度上观察到了CO2排放量与人口密度之间的非线性关系,道路上的总CO2随人口密度呈非线性增长,迅速上升至每平方公里1,650人,此后缓慢增长。人均排放量随着密度的增加而下降,但取决于现有的密度,其变化率明显不同。我们利用DARTE的自下而上的结构来强调与使用人口作为线性代表来分解国家或州规模排放量的通常做法相关的偏见。将DARTE与现有的缩减清单进行比较,我们发现城市和农村排放的空间分布存在100%或更多的偏差,这在很大程度上是由缩减清单的代理与城市规模上车辆活动的实际空间格局之间的不匹配所致。考虑到城市作为二氧化碳排放源的双重重要性以及缓解气候变化倡议的兴起,诸如DARTE之类的高分辨率估算对于准确定量地表碳通量和验证城市规模减排努力的有效性都是至关重要的。

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