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城市、交通与二氧化碳:对趋势、驱动因素及尺度关系的数十年评估

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

作者信息

Gately Conor K, Hutyra Lucy R, Sue Wing Ian

机构信息

Department of Earth and Environment, Boston University, Boston, MA 02215

Department of Earth and Environment, Boston University, Boston, MA 02215.

出版信息

Proc Natl Acad Sci U S A. 2015 Apr 21;112(16):4999-5004. doi: 10.1073/pnas.1421723112. Epub 2015 Apr 6.

DOI:10.1073/pnas.1421723112
PMID:25847992
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4413274/
Abstract

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.

摘要

2012年,道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%,但其排放的空间分布具有高度不确定性。我们开发了一种新的排放清单——道路运输排放数据库(DARTE),该清单以1公里的分辨率估算了1980 - 2012年美国道路运输每年排放的二氧化碳。DARTE显示,自1980年以来,城市地区贡献了80%的道路排放增长,以及2012年总排放量的63%。我们在广泛的空间/时间尺度上观察到二氧化碳排放与人口密度之间存在非线性关系,道路总二氧化碳排放量随人口密度呈非线性增加,在每平方公里1650人之前迅速增加,之后缓慢增加。人均排放量随着密度上升而下降,但下降速度因现有密度而异。我们利用DARTE自下而上的构建方法,突出了将人口作为国家或州尺度排放分解的线性代理这一常见做法所带来的偏差。将DARTE与现有的降尺度清单进行比较,我们发现城乡排放的空间分布偏差超过100%,这主要是由于清单降尺度代理与城市尺度上车辆活动的实际空间模式之间的不匹配所致。鉴于城市作为二氧化碳排放源以及新兴的气候缓解倡议节点的双重重要性,像DARTE这样的高分辨率估算对于准确量化地表碳通量以及验证城市尺度上减排努力的有效性至关重要。

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