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硕士生周志高的论文在RENEWABLE ENERGY 刊出
发布时间:2018-02-22 16:03:45     发布者:yz     浏览次数:

标题:Innovative trend analysis of solar radiation in China during 1962-2015

作者: Zhou, ZG (Zhou, Zhigao); Wang, LC (Wang, Lunche); Lin, AW (Lin, Aiwen); Zhang, M (Zhang, Ming); Niu, ZG (Niu, Zigeng)

来源出版物:RENEWABLE ENERGY 卷:119 页码: 675-689 DOI:10.1016/j.renene.2017.12.052 出版年:APR 2018

摘要: An innovative trend analysis (ITA) with significant test was proposed for detecting the annual and seasonal variation trends of solar radiation at 48 stations in five different climatic zones across China during 1962-2015. The solar radiation generally showed a significant decreasing trend (p< .05 or p<.01) at most stations, however, some stations exhibited significant increasing trends (p<.05 or p<.01) in eastern part of temperate monsoon climatic zone, western part of subtropical monsoon climatic zone and tropical monsoon climatic zone using ita. the ita method was compared with two traditional trend analysis methods, i.e., linear regression analysis (lra) and mann-kendall (m-k) test. the results indicated almost all significant trends (p<.05 or p<.01) that can be detected by lra or m-k test (117 time series) can be effectively identified using ita (116 time series). meanwhile, many significant trends (93 time series) that cannot be effectively detected by lra or m-k test can be identified using ita. so ita could detect hidden-trends that cannot be observed using traditional lra and m-k test. the possible causes for decreasing trends at most stations in china were investigated by discussing the annual and seasonal variations of anthropogenic aerosol loadings and sunshine duration. moreover, the differences, similarities and advantages of ita, lra and m-k test were compared and evaluated.

入藏号:WOS:000423649700062

文献类型:Article

语种:English

作者关键词:Solar radiation; Innovative trend analysis; Mann-Kendall; China

扩展关键词: GLOBAL RADIATION; CLIMATE

通讯作者地址: Lin, AW (通讯作者),Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

Wang, LC (通讯作者),China Univ Geosci, Sch Earth Sci, Lab Crit Zone Evolut, Wuhan 430074, Hubei, Peoples R China.

电子邮件地址: wang@cug.edu.cn; awlin@whu.edu.cn

地址:

[Zhou, Zhigao; Lin, Aiwen] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Wang, Lunche; Niu, Zigeng] China Univ Geosci, Sch Earth Sci, Lab Crit Zone Evolut, Wuhan 430074, Hubei, Peoples R China.

[Zhang, Ming] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China.

影响因子:4.357

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