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基于中国合肥站点的原位和地基遥感测量的大气 CO 和 CO 观测。

Observations of atmospheric CO and CO based on in-situ and ground-based remote sensing measurements at Hefei site, China.

机构信息

Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.

Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.

出版信息

Sci Total Environ. 2022 Dec 10;851(Pt 1):158188. doi: 10.1016/j.scitotenv.2022.158188. Epub 2022 Aug 19.

Abstract

The characteristics of long time series of CO and CO surface concentrations, tropospheric and total column dry-air mole fractions (DMF) from May 2015 to December 2019 were investigated. Both CO and CO show different seasonality for the three datasets. The annual increasing trend of CO is similar for all three datasets. However, the annual decreasing trend of CO for surface concentration is high compared to the other two measurements, mainly due to the improved combustion efficiency from power generation in recent years. The correlation between the tropospheric and total atmospheric CO and CO is higher than that between the surface concentration and tropospheric CO and CO. This is because the tropospheric and total atmospheric results both have common vertical profiles for CO and CO respective mole fractions that were observed in troposphere. Furthermore, the enhancement ratios of CO to CO derived from the three datasets during the period from 2016 to 2019 were compared. The ratio of ∆CO to ∆CO has an obvious increase with altitude each year, which means that the combustion efficiencies obtained from the three datasets are different. All ratios for the three datasets showed a slight increasing trend in recent years, which is attributed to increased combustion efficiency due to governmental measures for energy savings and emission reductions.

摘要

本研究调查了 2015 年 5 月至 2019 年 12 月期间 CO 和 CO 表面浓度、对流层和总柱干空气摩尔分数(DMF)的长时间序列特征。CO 和 CO 这两种物质在这三个数据集均表现出不同的季节性特征。所有三个数据集的 CO 年增长率都相似。然而,与其他两种测量值相比,CO 表面浓度的年下降趋势较高,这主要是由于近年来发电燃烧效率的提高。对流层和总大气 CO 和 CO 的相关性高于表面浓度与对流层 CO 和 CO 的相关性。这是因为对流层和总大气结果都有 CO 和 CO 各自摩尔分数的共同垂直分布,这些分布在对流层中被观测到。此外,还比较了三个数据集在 2016 年至 2019 年期间 CO 与 CO 的增强比。每年,从三个数据集得出的 CO 与 CO 的比值随着高度的增加而明显增加,这意味着三个数据集得到的燃烧效率不同。所有三个数据集的比值近年来都呈现出略微上升的趋势,这归因于政府为节能减排而采取的措施提高了燃烧效率。

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