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基于北京一年的每日观测数据对黑碳源解析的评估。

Evaluation of black carbon source apportionment based on one year's daily observations in Beijing.

作者信息

Xiao Hong-Wei, Mao Dong-Yang, Huang Li-Lei, Xiao Hua-Yun, Wu Jing-Feng

机构信息

Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang 330013, China.

Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang 330013, China; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

Sci Total Environ. 2021 Jun 15;773:145668. doi: 10.1016/j.scitotenv.2021.145668. Epub 2021 Feb 6.

Abstract

Combustion-derived black carbon (BC) is increasingly recognized as a significant pollutant that can have adverse effects on the atmospheric environment, human health, and regional climate. Fossil fuel combustion is the main source of BC, yet understanding of the relative contributions to BC from coal and liquid fuel combustion remains incomplete. Moreover, few studies have assessed the relative contributions based on long-term continuous daily field observations. This study adopted a Bayesian model of a three-dimensional array of a stable carbon isotope and the ratios of non-sea-salt K to BC and ΔBC/ΔCO of one year's daily observations (from September 1, 2017 to August 31, 2018) to constrain source apportionment of BC in Beijing (China). Results showed that both the BC and the carbon isotope concentrations exhibited strong seasonal variability, and that the annual BC concentration has decreased significantly in recent years. The Bayesian model results also revealed that the relative contributions from the combustion of coal, liquid fuel, and biomass were 42% ± 18%, 42% ± 18%, and 16% ± 11%, respectively, with a larger contribution from coal (liquid fuel) combustion in winter and spring (summer and autumn). The seasonal variation of source appointment was attributed to local and regional fuel combustion coupled with meteorological conditions. With increasing PM level, the BC concentration derived from biomass burning increased fastest, followed by that derived from coal combustion. But concentration of secondary inorganic ions increased faster than BC as PM increased.

摘要

燃烧产生的黑碳(BC)日益被认为是一种重要污染物,会对大气环境、人类健康和区域气候产生不利影响。化石燃料燃烧是黑碳的主要来源,但对于煤炭和液体燃料燃烧对黑碳的相对贡献仍未完全了解。此外,很少有研究基于长期连续的每日实地观测来评估相对贡献。本研究采用了一种贝叶斯模型,该模型基于一年(2017年9月1日至2018年8月31日)每日观测的稳定碳同位素三维阵列以及非海盐钾与黑碳的比率和ΔBC/ΔCO,来确定中国北京黑碳的来源分配。结果表明,黑碳和碳同位素浓度均呈现出强烈的季节变化,并且近年来年度黑碳浓度显著下降。贝叶斯模型结果还显示,煤炭、液体燃料和生物质燃烧的相对贡献分别为42%±18%、42%±18%和16%±11%,冬季和春季(夏季和秋季)煤炭(液体燃料)燃烧的贡献更大。来源分配的季节变化归因于本地和区域燃料燃烧以及气象条件。随着颗粒物水平的增加,生物质燃烧产生的黑碳浓度增加最快,其次是煤炭燃烧产生的黑碳浓度。但随着颗粒物增加,二次无机离子的浓度比黑碳增加得更快。

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