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量化美国大城市建筑物/街道尺度的化石燃料 CO2 排放。

Quantification of fossil fuel CO2 emissions on the building/street scale for a large U.S. city.

机构信息

School of Life Sciences, Arizona State University, Tempe, Arizona 85287, USA.

出版信息

Environ Sci Technol. 2012 Nov 6;46(21):12194-202. doi: 10.1021/es3011282. Epub 2012 Oct 9.

Abstract

In order to advance the scientific understanding of carbon exchange with the land surface, build an effective carbon monitoring system, and contribute to quantitatively based U.S. climate change policy interests, fine spatial and temporal quantification of fossil fuel CO(2) emissions, the primary greenhouse gas, is essential. Called the "Hestia Project", this research effort is the first to use bottom-up methods to quantify all fossil fuel CO(2) emissions down to the scale of individual buildings, road segments, and industrial/electricity production facilities on an hourly basis for an entire urban landscape. Here, we describe the methods used to quantify the on-site fossil fuel CO(2) emissions across the city of Indianapolis, IN. This effort combines a series of data sets and simulation tools such as a building energy simulation model, traffic data, power production reporting, and local air pollution reporting. The system is general enough to be applied to any large U.S. city and holds tremendous potential as a key component of a carbon-monitoring system in addition to enabling efficient greenhouse gas mitigation and planning. We compare the natural gas component of our fossil fuel CO(2) emissions estimate to consumption data provided by the local gas utility. At the zip code level, we achieve a bias-adjusted Pearson r correlation value of 0.92 (p < 0.001).

摘要

为了深入了解陆地表面与碳的交换过程,建立有效的碳监测系统,并为美国气候变化政策提供基于定量分析的建议,精确量化化石燃料二氧化碳排放(主要温室气体)至关重要。这项名为“赫斯提亚计划”(Hestia Project)的研究首次采用自下而上的方法,以小时为单位,对整个城市景观中的各个建筑物、道路段和工业/电力生产设施进行量化,从而计算所有化石燃料二氧化碳排放。在这里,我们将介绍用于量化印第安纳波利斯市现场化石燃料二氧化碳排放的方法。该研究结合了一系列数据集和模拟工具,例如建筑能源模拟模型、交通数据、电力生产报告和当地空气污染报告。该系统具有足够的通用性,可以应用于美国的任何大城市,除了能够有效进行温室气体减排和规划外,它还极有可能成为碳监测系统的关键组成部分。我们将天然气在化石燃料二氧化碳排放估算中的占比与当地天然气供应商提供的消耗量数据进行了比较。在邮政编码级别,我们实现了经过偏差调整的皮尔逊 r 相关系数为 0.92(p<0.001)。

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