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中国氨排放的时空分析及未来趋势。

A temporal-spatial analysis and future trends of ammonia emissions in China.

机构信息

Center for Industrial Ecology, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China.

Center for Industrial Ecology, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China; Baiyunshan Pharmaceutical Factory, Guangzhou Baiyunshan Pharmaceutical Holdings Co., Guangzhou 510515, China.

出版信息

Sci Total Environ. 2020 Aug 20;731:138897. doi: 10.1016/j.scitotenv.2020.138897. Epub 2020 Apr 24.

Abstract

Excessive anthropogenic activities have led to high-level ammonia loss and volatilization, which is regarded as a key factor in Chinese haze formation. In this study, a comprehensive analysis of ammonia emission estimations is accomplished at both temporal (1980-2016) and spatial (provincial) scales using a mass-balanced model, and emission projections through 2030 are also studied in different development scenarios. The results show that the ammonia emissions increased from 4.7 Tg N yr in 1980 to 11 Tg N yr in 2016, which is an approximately 2.4-fold increase. The cropland and livestock emissions are the largest contributors, as most reports show approximately 80% contributions; however, nonagriculture sources of fuel combustion, waste treatment and ammonia escape have grown rapidly in recent years, accounting for 14% in 2016. The spatial differences also reveal the complex heterogeneity in Chinese provinces. In addition, the emission intensities of major agriculture and non-agriculture sources are 0-80 kg N ha yr and over 100 kg N ha yr, respectively, indicating a higher degree of ammonia concentration from non-agriculture emissions, which should attract wide concern. In terms of scenario analysis, emissions would reach 12.8 Tg N yr in 2030 under the currently developed model and 7.3 Tg N yr under a series of reduction policies; the spatial analysis also shows that the North China Plain has a 2.1 Tg N yr reduction potential. The results of this study provide new insights into ammonia emission estimations and a better understanding of the environmental impacts of ammonia emitted from different sources.

摘要

人为活动的过度发展导致了高水平的氨损失和挥发,这被认为是中国雾霾形成的关键因素。在本研究中,利用质量平衡模型在时间(1980-2016 年)和空间(省级)尺度上对氨排放估算进行了综合分析,并在不同发展情景下研究了到 2030 年的排放预测。结果表明,氨排放量从 1980 年的 4.7Tg N yr 增加到 2016 年的 11Tg N yr,增长了约 2.4 倍。农田和畜牧业排放是最大的贡献者,因为大多数报告显示约 80%的贡献;然而,近年来,燃料燃烧、废物处理和氨逸出等非农业源的排放量增长迅速,占 2016 年的 14%。空间差异也揭示了中国各省的复杂异质性。此外,主要农业和非农业源的排放强度分别为 0-80kgNha yr 和超过 100kgNha yr,表明非农业排放的氨浓度更高,这应引起广泛关注。就情景分析而言,在目前的发展模式下,2030 年排放量将达到 12.8TgNyr,在一系列减排政策下,排放量将达到 7.3TgNyr;空间分析还表明,华北平原具有 2.1TgNyr 的减排潜力。本研究的结果为氨排放估算提供了新的见解,并更好地了解了不同来源排放的氨对环境的影响。

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