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

LIU Rong; WEN Jun; WANG Xin

doi:10.3878/j.issn.1006-9585.2015.15202

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Article Navigation > Climatic and Environmental Research > 2016 > 21(5): 503-511

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

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

doi: 10.3878/j.issn.1006-9585.2015.15202

Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Insititude of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000

Received Date: 2015-08-28

Abstract

Abstract

Evapotranspiration (ET) is a key factor in the eco-hydrological process on basin scale. However, it is hard to obtain long-term and reliable ET measurement data for a specific watershed. In this study, ET reanalysis products from the European Centre for Medium Range Weather Forecasts (ECMWF) and the U.S. National Centers for Environmental Prediction (NCEP) were compared to eddy covariance measurements in the Yellow River source region on daily scale. The ERA-Interim reanalysis data was found to have a good agreement with ET measurements in the Yellow River source region with the root mean square error (RMSQ) of 0.63; the NCEP reanalysis data was found to overestimate ET from April to July and from October to December with the RMSQ of 0.81. The Mann Kendall test and Sen's slope estimator test were then applied to quantify the changing trend of ET during 1979-2014 based on the Interim-ET reanalysis products. In general ET increased over the northern region and decreased in the south during the study period. The most rapid increase of 1.5-2.5 mm/a was found in the northern region in Xinhai-Gonghe-Guide, and the most rapid decrease of -1.0--0.5 mm/a was found in the southwestern region in Qumalai-Zhidu-Yushu. In the southeastern region in Maqin-Maqu-Jiuzhi, ET also increased by 0.5-1.0 mm/a. Abrupt ET changes over Yellow River source region mainly occurred in the 1980s based on results of both the moving t test and the sequential Mann Kendall test.
- the Yellow River source region,
- Evapotranspiration,
- Long term,
- Trends

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References(17)

References

[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.