高级检索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

黄河源区蒸散发量时空变化趋势及突变分析

刘蓉 文军 王欣

刘蓉, 文军, 王欣. 黄河源区蒸散发量时空变化趋势及突变分析[J]. 气候与环境研究, 2016, 21(5): 503-511. doi: 10.3878/j.issn.1006-9585.2015.15202
引用本文: 刘蓉, 文军, 王欣. 黄河源区蒸散发量时空变化趋势及突变分析[J]. 气候与环境研究, 2016, 21(5): 503-511. doi: 10.3878/j.issn.1006-9585.2015.15202
LIU Rong, WEN Jun, WANG Xin. Spatial-Temporal Variation and Abrupt Analysis of Evapotranspiration over the Yellow River Source Region[J]. Climatic and Environmental Research, 2016, 21(5): 503-511. doi: 10.3878/j.issn.1006-9585.2015.15202
Citation: LIU Rong, WEN Jun, WANG Xin. Spatial-Temporal Variation and Abrupt Analysis of Evapotranspiration over the Yellow River Source Region[J]. Climatic and Environmental Research, 2016, 21(5): 503-511. doi: 10.3878/j.issn.1006-9585.2015.15202

黄河源区蒸散发量时空变化趋势及突变分析

doi: 10.3878/j.issn.1006-9585.2015.15202
基金项目: 国家自然科学基金项目41405017、41405079、41675015,中国科学院重点部署项目KZZD-EW-13

Spatial-Temporal Variation and Abrupt Analysis of Evapotranspiration over the Yellow River Source Region

  • 摘要: 蒸散发量是流域水文过程的关键因子。由于缺乏区域面上实际蒸散发量的长期观测,很难得到长时间序列的蒸散发时空变化趋势。因此,本研究首先利用架设在黄河源若尔盖地区的涡动相关系统观测的2010年全年的蒸散发资料进行分析,对欧洲中心提供的ERA-interim和美国国家环境预报中心(NCEP)提供的地表变量再分析数据集进行了局地适用性评估,并依据再分析蒸散数据集,基于统计学方法分析了1979~2014年黄河源区蒸散发量的时空分布及变化特征。结果表明:(1)ERA-interim蒸散发再分析资料在黄河源区适用性较好,均方根误差为0.63,NCEP蒸散发再分析资料在4~7月、10~12月模拟值偏高,均方根误差为0.81。(2)进而利用ERA-interim蒸散发再分析资料,基于Mann Kendall方法及Sen斜率(Sen's slope estimator)检验法,分析了黄河源区蒸散发量在1979~2014年期间的变化趋势。黄河源区蒸散发量总体上呈现北高南低的年变化趋势,北部兴海-共和-贵德地区增加最为迅速,年变化率在1.5~2.5 mm/a,西南部曲麻莱-治多-玉树地区减少最为明显,变化率为-1.0~-0.5 mm/a,东南部玛沁-玛曲-久治地区蒸散发量的变化在0.5~1.0 mm/a。(3)利用滑动t检验和SQMK(Sequential Mann Kendall)方法检测出发生突变的年份集中在20世纪80年代。
  • [1] Anderson M C, Kustas W P, Alfieri J G, et al. 2012. Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign[J]. Advances in Water Resources, 50:162-177, doi: 10.1016/j.advwatres.2012.06.005.
    [2] Chen Y H, Li X B, Jing G F, et al. 2003. An estimation model for daily regional evapotranspiration[J]. Int. J. Remote Sens., 24 (1):199-205, doi: 10.1080/01431160305005.
    [3] Gocic M, Trajkovic S. 2013. Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia[J]. Global and Planetary Change, 100:172-182, doi:10.1016/j. gloplacha.2012.10.014.
    [4] 康悦, 李振朝, 田辉, 等. 2011. 黄河源区植被变化趋势及其对气候变化的影响过程研究[J]. 气候与环境研究, 16 (4):505-512. Kang Yue, Li Zhenchao, Tian Hui, et al. 2011. Trend of vegetation evaluation and its responses to climate change over the source region of the Yellow River[J]. Climatic and Environmental Research (in Chinese), 16 (4):505-512, doi: 10.3878/j.issn.1006-9585.2011.04.11.
    [5] Li Z Y, Liu X H, Ma T X, et al. 2013. Retrieval of the surface evapotranspiration patterns in the alpine grassland-wetland ecosystem applying SEBAL model in the source region of the Yellow River, China[J]. Ecological Modelling Volume, 270:64-75, doi:10.1016/j. ecolmodel.2013.09.004.
    [6] Liu R, Wen J, Wang X, et al. 2015. Evapotranspiration estimated by using datasets from the Chinese FengYun-2D geostationary meteorological satellite over the Yellow River source area[J]. Advances in Space Research, 55 (1):60-71, doi: 10.1016/j.asr.2014.09.018.
    [7] Liu S M, Xu Z W, Wang W Z, et al. 2011. A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem[J]. Hydrology and Earth System Sciences, 15 (4):1291-1306, doi: 10.5194/hess-15-1291-2011.
    [8] Liu S M, Xu Z W, Zhu Z L, et al. 2013. Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River basin, China[J]. J. Hydrol., 487:24-38, doi:10.1016/j.jhydrol. 2013.02.025.
    [9] Ma W Q, Ma Y M. 2015. Modeling the influence of land surface flux on the regional climate of the Tibetan Plateau[J]. Theor. Appl. Climatol., doi: 10.1007/s00704-015-1495-x.
    [10] 祁威, 张镱锂, 高俊刚, 等. 2013. 1971~2009年珠穆朗玛峰地区尼泊尔境内气候变化[J]. 地理学报, 68 (1):82-94. Qi Wei, Zhang Yili, Gao Jungang, et al. 2013. Climate change on southern slope of Mt. Qomolangma region in Nepal from 1971 to 2009[J]. Acta Geographica Sinica (in Chinese), 68 (1):82-94, doi: 10.11821/xb201301010.
    [11] Road J O, Chen S. 2001. Surface water and energy budgets for the Mississippi catchment area from global reanalysis and a regional climate model[J]. Phys. Chem. Earth, Part B:Hydrology, Oceans and Atmosphere, 26:369-375.
    [12] 王霁吟, 陈宝君, 宋金杰, 等. 2015. 基于再分析资料的我国龙卷发生环境和通用龙卷指标[J]. 气候与环境研究, 20 (4):411-420. Wang Jiyin, Chen Baojun, Song Jinjie, et al. 2015. Atmospheric conditions of tornado genesis and universal tornadic index based on reanalysis data[J]. Climatic and Environmental Research (in Chinese), 20 (4):411-420, doi: 10.3878/j.issn.1006-9585.2014.14127.
    [13] 王介民. 2012. 涡动相关通量观测指导手册[EB/OL]. http://www.hydro-lab.cn/pt/download/woduxiangguantongliangguancezhidaoshouce.pdf. Wang Jiemin. 2012. Guidelines for Making Eddy Covariance Flux Measurements[EB/OL] (in Chinese). http://www.hydro-lab.cn/pt/download/woduxiangguantongliangguancezhidaoshouce.pdf.
    [14] Wang K C, Dickinson R E. 2012. A review of global terrestrial evapotranspiration:observation, modeling, climatology, and climatic variability[J]. Rev. Geophys., 50 (2), doi: 10.1029/2011RG000373.
    [15] 余予, 孟晓艳, 张欣. 2013. 1980~2011年北京城区能见度变化趋势及突变分析[J]. 环境科学研究, 26 (2):129-136. Yu Yu, Meng Xiaoyan, Zhang Xin. 2013. Trends and abruption analysis on the visibility in the urban area of Beijing city during 1980-2011[J]. Research of Environmental Sciences (in Chinese), 26 (2):129-136.
    [16] 张建云, 章四龙, 王金星, 等. 2007. 近50年来中国六大流域年际径流变化趋势研究[J]. 水科学进展, 18 (2):230-234. Zhang Jianyun, Zhang Silong, Wang Jinxing, et al. 2007. Study on runoff trends of the six larger basins in China over the past 50 years[J]. Advances in Water Science (in Chinese), 18 (2):230-234, doi:10.3321/j.issn:1001-6791.2007. 02.013.
    [17] 周德刚, 黄荣辉. 2006. 黄河源区径流减少的原因探讨[J]. 气候与环境研究, 11 (3):302-309. Zhou Degang, Huang Ronghui. 2006. Exploration of reason of runoff decrease in the source regions of the Yellow River[J]. Climatic and Environmental Research (in Chinese), 11 (3):302-309, doi: 10.3969/j.issn.1006-9585.2006.03.006.
  • 加载中
计量
  • 文章访问数:  1561
  • HTML全文浏览量:  23
  • PDF下载量:  2264
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-08-28

目录

    /

    返回文章
    返回