青藏高原气溶胶中测得的黑碳浓度被高估 50

IF 7.6 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Zhaofu Hu , Shichang Kang , Chaoliu Li , Chao Zhang , Fangping Yan , Pengfei Chen , Duoji Danmuzhen
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引用次数: 0

摘要

元素碳(EC)又称黑碳,在气候变化中发挥着重要作用。在青藏高原(TP)进行热光学测量时,碳酸盐和有机碳(OC)会导致EC浓度被高估,因此准确评估气溶胶中的EC浓度仍然具有挑战性。本研究在青藏高原南部和西部的四个偏远地点(聂拉木、鲁朗、珠峰和阿里),采用不同的处理方法评估了碳酸盐和有机碳对导电率的高估程度。所有地点因酸处理而高估的平均导电率浓度一致(25.5 ± 2.4 %)。经校正后,碳酸盐高估的导电率比例分别为(8.5 ± 7.3 %)、(12.3 ± 6.9 %)、(18.1 ± 11.8 %)和(22.7 ± 13.3 %),表明从潮湿地区到干旱地区导电率呈上升趋势。甲醇可溶 OC(MSOC)浓度与 EC 浓度的降低呈显著正相关,表明甲醇萃取可有效缓解对 EC 的高估。碳质气溶胶浓度的季节变化受南亚来源的影响很大。尽管气候和气溶胶来源不同,但在聂拉木(49.4 ± 14.0 %)、鲁朗(47.8 ± 8.4 %)、珠峰(48.7 ± 15.9 %)和恩加利(49.3 ± 13.7 %)站点,碳酸盐和有机碳对所测得的导电率浓度的平均高估率相近。因此,实际的导电率浓度仅为原始值的 51.2 ± 13.1%。这一估算将大大提高褐碳(BrC)对辐射强迫的贡献,突出了未来研究的关键领域。调查TP中EC的实际浓度为支持模型模拟和验证模型准确性提供了关键数据,进一步加深了我们对EC对气候变暖和冰川融化影响的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Fifty percent overestimation of black carbon concentration measured in aerosols of the Tibetan Plateau

Fifty percent overestimation of black carbon concentration measured in aerosols of the Tibetan Plateau

Fifty percent overestimation of black carbon concentration measured in aerosols of the Tibetan Plateau
Elemental carbon (EC), also known as black carbon, plays an important role in climate change. Accurately assessing EC concentration in aerosols remains challenging due to the overestimations caused by carbonates and organic carbon (OC) during thermal-optical measurement in the Tibetan Plateau (TP). This study evaluates the extent of EC overestimated by carbonates and OC at four remote sites (Nyalamu, Lulang, Everest and Ngari) in southern and western of the TP using different treatments. The average overestimation of EC concentration due to acid treatment was consistent across all sites (25.5 ± 2.4 %). After correction, the proportion of EC overestimated by carbonates were approximately 8.5 ± 7.3 %, 12.3 ± 6.9 %, 18.1 ± 11.8 % and 22.7 ± 13.3 %, respectively, revealing an increasing trend from humid to arid regions. Methanol-soluble OC (MSOC) concentrations were significantly correlated with the reduction of EC concentrations, indicating that the methanol extraction effectively mitigates EC overestimation. Seasonal variation of carbonaceous aerosol concentrations was significantly affected by sources from South Asia. Despite the variations in climate and aerosol sources, the average overestimations of measured EC concentration by carbonates and OC were similar at Nyalamu (49.4 ± 14.0 %), Lulang (47.8 ± 8.4 %), Everest (48.7 ± 15.9 %) and Ngari (49.3 ± 13.7 %) sites. Therefore, the actual EC concentrations were only about 51.2 ± 13.1 % of the original values. This estimation will significantly enhance the contribution of brown carbon (BrC) to radiative forcing relative to EC, highlighting a critical area for future research. Investigating the actual concentrations of EC in the TP provides critical data to support model simulation and validate model accuracy, further enhancing our understanding of EC's impacts on climate warming and glacier melting.
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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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