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科罗拉多州东北部动物饲养场氨和甲烷排放的变异性。

Variability of Ammonia and Methane Emissions from Animal Feeding Operations in Northeastern Colorado.

机构信息

Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States.

Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, Colorado 80309, United States.

出版信息

Environ Sci Technol. 2020 Sep 15;54(18):11015-11024. doi: 10.1021/acs.est.0c00301. Epub 2020 Aug 31.

Abstract

Concentrated animal feeding operations (CAFOs) are major emitters of both ammonia (NH) and methane (CH). However, current emission inventories have limited temporal resolution and use data derived from a small subset of farms. To this end, we deployed three mobile laboratories during the DISCOVER-AQ campaign in summer 2014 with a focus on northeastern Colorado. Observations of NH and CH plumes downwind of 43 CAFOs were used to investigate the diurnal and site-to-site variability of emissions with an inverse area source plume modeling approach. Ammonia emissions scaled to all permitted animals in Weld, Morgan, and Larimer counties were estimated at 1.9 Gg month, 50% greater than the U.S. NEI 2014 and 360% greater than EDGAR for the month of August. Methane emissions were likewise estimated at 10.6 Gg month, consistent with the U.S. GHGI but 99% greater than EDGAR. Significant differences between individual CAFOs with repeat observations were also observed for both CH and NH emissions. The large subfarm, site-to-site, and diurnal variabilities observed show the importance of measurements taken across these scales in order to derive representative emission factors.

摘要

集中式动物饲养场(CAFOs)是氨(NH)和甲烷(CH)的主要排放源。然而,目前的排放清单时间分辨率有限,并且使用的数据仅来自一小部分农场。为此,我们在 2014 年夏季的 DISCOVER-AQ 活动期间部署了三个移动实验室,重点关注科罗拉多州东北部。在 43 个 CAFO 下风处观测到 NH 和 CH 羽流,采用逆面积源羽流建模方法研究了排放的日变化和站点间变异性。根据 Weld、Morgan 和 Larimer 县所有许可动物的排放量估算为 1.9 Gg 月,比美国 NEI 2014 年高出 50%,比 EDGAR 高出 360%。同样,甲烷排放量估算为 10.6 Gg 月,与美国 GHGI 一致,但比 EDGAR 高出 99%。对具有重复观测的单个 CAFO 进行的分析表明,CH 和 NH 的排放也存在显著差异。观测到的大范围内、站点间和日变化的变异性表明,为了得出有代表性的排放因子,必须在这些尺度上进行测量。

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