globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2017JD026937
论文题名:
Feature extraction of climate variability, seasonality, and long-term change signals in persistent organic pollutants over the Arctic and the Great Lakes
作者: Zhao Y.; Wang L.; Huang T.; Mo J.; Zhang X.; Gao H.; Ma J.
刊名: Journal of Geophysical Research: Atmospheres
出版年: 2017
卷: 122, 期:16
起始页码: 8921
结束页码: 8939
语种: 英语
英文关键词: Arctic ; climate indices ; FastICA ; Great Lakes ; POPs ; wavelet
英文摘要: We explored the interactions between climate variability and measured persistent organic pollutants (POPs) data in the frequency domain. The spectrum analysis identifies a power period of 1.5 to 7 years in sampled POPs data in the Great Lakes (GL) and Arctic in the 1990s to 2000s, coinciding with the power period of two climate variabilities, the North Atlantic Oscillation and the El Niño–Southern Oscillation. Results also reveal a decadal power period in monitored POPs time series, which is associated with air temperature and climate indices, demonstrating the connection between the dominant long-term trend in sampled POPs data and climate change. We used a “cocktail party effect” and Fast Independent Component Analysis approaches to blindly separate and isolate the signals in POPs time series from different dynamic and environmental processes in the Arctic and the GL. Among seasonal, interannual, and decadal or longer-term signals extracted from sampled POPs concentration data, the climate signals in hexachlorobenzene in the GL are associated with air temperature, El Niño–Southern Oscillation indices, and North Atlantic Oscillation (NAO). The signals in α-hexachlorocyclohexane (HCH) and polychlorinated biphenyls observations at three Arctic sites correspond to a Niño 3.4 and the NAO. The other two signals are associated with the longer term and seasonal cycle of POPs. We show that the seasonal cycle and climate change are important factors, buffering the declining trend of α-HCH. The signals feature extraction from POPs historical data provides a tool to deconstruct the POPs time series and enhance our understanding of the potential effects of climate variations on POPs environmental cycling. ©2017. American Geophysical Union. All Rights Reserved.
资助项目: 41371453 ; 41371478 ; 41671460"This research was supported by the National Natural Science Foundation of China (grants 41371453, 41371478, and 41671460) and Fundamental Research Funds for the Central Universities (lzujbky-2016-249 and lzujbky-2016-253). The authors would also like to acknowledge financial support for the monitoring programs that was provided by the Northern Contaminants Program, Indigenous and Northern Affairs Canada (Alert, Canada), the Finnish Meteorological Institute (FMI) (Pallas), the Icelandic Ministry for the Environment (Storhofdi), and the Norwegian Environment Agency (Norway) for air measurements conducted at the Zeppelin station. The IADN program is supported by the United States Environmental Protection Agency and Environment Canada. The POPs data of the Arctic from EBAS are available at http://ebas.nilu.no/. The POPs data of the Great Lakes from the NAtChem are available at http://www.ec.gc.ca/natchem/. All monthly climate indices from NOAA are available at http://www.esrl.noaa.gov/psd/data/climateindices/list/. Sea ice extent data from Sea Ice Snow and Ice Date Center are available at http://nsidc.org/data/seaice_index/archives.html. SST data from the National Centers for Environmental Prediction are available at https://www.esrl.noaa.gov/psd/cgi-bin/data/timeseries/timeseries1.pl.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62605
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environment Sciences, Lanzhou University, Lanzhou, China; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China

Recommended Citation:
Zhao Y.,Wang L.,Huang T.,et al. Feature extraction of climate variability, seasonality, and long-term change signals in persistent organic pollutants over the Arctic and the Great Lakes[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(16)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhao Y.]'s Articles
[Wang L.]'s Articles
[Huang T.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Zhao Y.]'s Articles
[Wang L.]'s Articles
[Huang T.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhao Y.]‘s Articles
[Wang L.]‘s Articles
[Huang T.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.