工业区大气气溶胶变化的周循环

IF 0.2 Q4 ASTRONOMY & ASTROPHYSICS
A. Paznukhov, A. Soina, G. Milinevsky, Y. Yampolsky
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引用次数: 1

摘要

为了利用最近的AERONET数据研究气溶胶参数的周周期,我们分析了工业气溶胶负荷水平不同地区的7天周期。在本文中,我们正在寻找大气气溶胶光学厚度在440和870 nm (AOT440, AOT870)的周循环,由AERONE太阳光度计在工业地区测量:欧洲和北美。此外,还对预期工业气溶胶负荷最低的南极洲可能出现的周循环进行了调查。对于每个AERONET站点,使用2009-2016年期间8年连续测量序列数据进行分析。由于AERONET太阳光度计只提供白天和无云条件下的气溶胶测量,我们使用每周数据叠加技术进行分析。根据该方法,测量的初始序列被划分为7天的数据段,对应一周的周期。计算8年平均值和标准偏差为每周的每一天。欧洲和北美的平均周末效应在平日和周末大气中AOT440的百分比差等于7.2%,在欧洲为- 4.2%。AOT值在周日和周一最低,在周三至周六最高。为了揭示周末效应的季节依赖性,分析了欧洲地区不同季节的AOT440和AOT870数据的周变化。结果显示,AOT值在工作日最大,周末最小,与季节平均结果相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weekly cycle in the atmosphere aerosol variations for industrial regions
To investigate weekly cycle in aerosol parameters using recent AERONET data, we analyse the 7-days periodicity in the different regions that vary in the level of the industrial aerosol load. In the paper we are looking for the weekly cycle in atmosphere aerosol optical thickness at 440 and 870 nm (AOT440, AOT870), measured by AERONE sun-photometers in the industrial regions: Europe and North America. The possible appearance of the weekly cycle in Antarctica, where the lowest industrial aerosol load expected, was investigated as well. For each of the AERONET stations, the analysis was provided using the 8-year continuous measurement sequences data in the 2009–2016 period. Due to AERONET sun-photometers provided aerosol measurements in the daytime and cloudless conditions only, we use the weekly data overlay technique for analysis. According to this method, the initial sequence of the measurements was divided into the 7-days data segments, corresponding to a week period. The 8-year averaged values and standard deviation were calculated for an each day of week. The average Europe and North America weekend effect in the percent difference of AOT440 in the weekdays and in the weekend in the atmosphere over North America is equal 7.2%, over Europe - 4.2%. The lowest AOT values observed on Sunday and Monday the highest values are seen from Wednesday till Saturday. To reveal seasonal dependence of the weekend effect, the weekly variations of seasonally separated AOT440 and AOT870 data over Europe have been analysed. The results exhibit the maximum AOT values in working days and minimum in weekend similar to seasonally averaged results.
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来源期刊
Advances in Astronomy and Space Physics
Advances in Astronomy and Space Physics ASTRONOMY & ASTROPHYSICS-
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