ISSN 1000-3665 CN 11-2202/P
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Volume 50 Issue 2
Mar.  2023
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WANG Yaqin, YANG Wei, XING Bo, et al. A study of influencing factors of spatio-temporal evapotranspiration variation across the Yellow River Basin under the Budyko framework[J]. Hydrogeology & Engineering Geology, 2023, 50(2): 23-33 doi:  10.16030/j.cnki.issn.1000-3665.202205066
Citation: WANG Yaqin, YANG Wei, XING Bo, et al. A study of influencing factors of spatio-temporal evapotranspiration variation across the Yellow River Basin under the Budyko framework[J]. Hydrogeology & Engineering Geology, 2023, 50(2): 23-33 doi:  10.16030/j.cnki.issn.1000-3665.202205066

A study of influencing factors of spatio-temporal evapotranspiration variation across the Yellow River Basin under the Budyko framework

doi: 10.16030/j.cnki.issn.1000-3665.202205066
  • Received Date: 2022-05-05
  • Rev Recd Date: 2022-07-15
  • Available Online: 2023-02-28
  • Publish Date: 2023-03-15
  • Evapotranspiration is an important part of water cycle, and the study of evapotranspiration is conducive to understanding the spatio-temporal variation of regional water resources. The Yellow River Basin (YRB) is located in an arid and semi-arid region, and water resources are sparse and uneven in spatio-temporal distribution, and the water issues are prominent. Analyzing the response of evapotranspiration to the changing environment in the YRB and revealing the hydrologic and water resources effects of climate change, vegetation seasonality and phenological variations are of great theoretical and practical significance for the sustainable development and planning and management of regional water resources. Based on the Multivariate Adaptive Regression Splines(MARS) non-parametric model, this paper analyzes the correlation between the water-energy coupling control parameter ϖ and environmental variables under the Budyko framework by using the third generation normalized differential vegetation index datasets(NDVI3g) developed by Global Inventory Modelling and Mapping Studies, meteorological data, soil data, land use/cover data and topographic and geomorphic data of 30 sub-basins in the YRB. The influence mechanism of changing environmental variables on evapotranspiration is discussed. The results show that (1) the spatial variation of the water balance relationship is significantly correlated with the water-energy coupling seasonality, the spatial variability of geomorphology, and the precipitation seasonality (average storm depth and coefficient of variation of precipitation). (2) On the inter-annual scale, a) the water and energy synchronicity is the most important climate seasonality that affects the inter-annual water balance: as water and energy synchronicity increases, the evapotranspiration ratio decreases and runoff yield increases; b) the more concentrated the precipitation, the higher the annual variation and the more obvious the seasonal precipitation, suggesting the smaller the evapotranspiration ratio; c) vegetation seasonality is an important factor affecting the catchment water balance: the stronger the vegetation growth and the longer the growing season, suggesting the larger the evapotranspiration ratio and the smaller the runoff yield coefficient. (3) There is a strong auto-correlation among environmental variables, which co-evolve and act on evapotranspiration.
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  • [1]
    FIELD C, BARROS V, STOCKER T, et al. Managing the risks of extreme events and disasters to advance climate change adaptation: A special report of working groups I and II of the intergovernmental panel on climate change[R]. Cambridge University Press, 2012:1-19..
    [2]
    STOCKER T F, QIN D, PLATTNER G K, et al. Climate change 2013: The physical science basis, intergovernmental panel on climate change, working group I contribution to the IPCC fifth assessment report (AR5)[M]. New York: Press CU Editor, 2013.
    [3]
    刘昌明,张学成. 黄河干流实际来水量不断减少的成因分析[J]. 地理学报,2004,59(3):323 − 330. [LIU Changming,ZHANG Xuecheng. Causal analysis on actual water flow reduction in the mainstream of the Yellow River[J]. Acta Geographica Sinica,2004,59(3):323 − 330. (in Chinese with English abstract) doi:  10.3321/j.issn:0375-5444.2004.03.001
    [4]
    ZHAO Yifei,ZOU Xinqing,ZHANG Jianxiang,et al. Spatio-temporal variation of reference evapotranspiration and aridity index in the Loess Plateau Region of China,during 1961-2012[J]. Quaternary International,2014,349:196 − 206. doi:  10.1016/j.quaint.2014.06.050
    [5]
    GAO Xuerui,SUN Miao,ZHAO Qi,et al. Actual ET modelling based on the Budyko framework and the sustainability of vegetation water use in the loess plateau[J]. Science of the Total Environment,2017,579:1550 − 1559. doi:  10.1016/j.scitotenv.2016.11.163
    [6]
    王文科. 陆域蒸散发及资源环境效应[J]. 水文地质工程地质,2021,48(3):I − II. [WANG Wenke. Terrestrial evapotranspiration and its effects on resources and environment[J]. Hydrogeology & Engineering Geology,2021,48(3):I − II. (in Chinese with English abstract)
    [7]
    王周锋,王文科,李俊亭. 蒸散发水源组成与测定方法研究进展[J]. 水文地质工程地质,2021,48(3):1 − 9. [WANG Zhoufeng,WANG Wenke,LI Junting. A review of the advances in water source composition and observation methods of evapotranspiration[J]. Hydrogeology & Engineering Geology,2021,48(3):1 − 9. (in Chinese with English abstract) doi:  10.16030/j.cnki.issn.1000-3665.202012042
    [8]
    WANG Weiguang,ZOU Shan,SHAO Quanxi,et al. The analytical derivation of multiple elasticities of runoff to climate change and catchment characteristics alteration[J]. Journal of Hydrology,2016,541:1042 − 1056. doi:  10.1016/j.jhydrol.2016.08.014
    [9]
    DONOHUE R J,RODERICK M L,MCVICAR T R. Roots,storms and soil pores:Incorporating key ecohydrological processes into Budyko’s hydrological model[J]. Journal of Hydrology,2012,436/437:35 − 50. doi:  10.1016/j.jhydrol.2012.02.033
    [10]
    LI Hongyi,SIVAPALAN M,TIAN Fuqiang,et al. Functional approach to exploring climatic and landscape controls of runoff generation:1. Behavioral constraints on runoff volume[J]. Water Resources Research,2014,50(12):9300 − 9322. doi:  10.1002/2014WR016307
    [11]
    YANG Dawen, SHAO Weiwei, YEH P J F, et al. Impact of vegetation coverage on regional water balance in the nonhumid regions of China[J]. Water Resources Research, 2009, 45(7).
    [12]
    YE Sheng,LI Hongyi,LI Shuai,et al. Vegetation regulation on streamflow intra-annual variability through adaption to climate variations[J]. Geophysical Research Letters,2015,42(23):10307 − 10315.
    [13]
    NING Tingting,LI Zhi,LIU Wenzhao. Vegetation dynamics and climate seasonality jointly control the interannual catchment water balance in the Loess Plateau under the Budyko framework[J]. Hydrology and Earth System Sciences,2017,21(3):1515 − 1526. doi:  10.5194/hess-21-1515-2017
    [14]
    XING Wanqiu,WANG Weiguang,SHAO Quanxi,et al. Identification of dominant interactions between climatic seasonality,catchment characteristics and agricultural activities on Budyko-type equation parameter estimation[J]. Journal of Hydrology,2018,556:585 − 599. doi:  10.1016/j.jhydrol.2017.11.048
    [15]
    FENG Xiaoming,FU Bojie,PIAO Shilong,et al. Revegetation in China’s Loess Plateau is approaching sustainable water resource limits[J]. Nature Climate Change,2016,6(11):1019 − 1022. doi:  10.1038/nclimate3092
    [16]
    LIANG Wei,BAI Dan,WANG Feiyu,et al. Quantifying the impacts of climate change and ecological restoration on streamflow changes based on a Budyko hydrological model in China’s Loess Plateau[J]. Water Resources Research,2015,51(8):6500 − 6519. doi:  10.1002/2014WR016589
    [17]
    WANG Yaqin,LUO Yi,SHAFEEQUE M. Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin,China[J]. Science of the Total Environment,2019,693:133553. doi:  10.1016/j.scitotenv.2019.07.359
    [18]
    WANG Yaqin,LUO Yi,SHAFEEQUE M. Using a Gaussian function to describe the seasonal courses of monthly precipitation and potential evapotranspiration across the Yellow River Basin,China[J]. Journal of Hydrometeorology,2019,20(11):2185 − 2201. doi:  10.1175/JHM-D-19-0019.1
    [19]
    王亚琴,孙林,李洪宇等. 黄河流域上中游地区月度 8-km网格气象数据集(1980–2015)[J]. 全球变化数据学报,2022,6(1):25 − 36. [WANG Yaqin,SUN Lin,LI Hongyu,et al. Monthly/8km grid meteorological dataset at the middle and upper reaches of the Yellow River Basin of China (1980–2015)[J]. Journal of Global Change Data & Discovery,2022,6(1):25 − 36. (in Chinese with English abstract)
    [20]
    吴炳方, 钱金凯, 曾源, 等. 中华人民共和国土地覆被地图集(1∶10 000 000)[M]. 北京: 中国地图出版社, 2017

    WU Bingfang, QIAN Jinkai, ZENG Yuan, et al. Land cover atlas of the People’s Republic of China (1∶10 000 000)[M]. Beijing: China Cartographic Publishing House, 2017. (in Chinese)
    [21]
    JONSSON P,EKLUNDH L. Seasonality extraction by function fitting to time-series of satellite sensor data[J]. IEEE Transactions on Geoscience and Remote Sensing,2002,40(8):1824 − 1832. doi:  10.1109/TGRS.2002.802519
    [22]
    BUDYKO M I, MILLER EEEB D H. Climate and life [M]. New York: Academic, 1974.
    [23]
    傅抱璞. 论陆面蒸发的计算[J]. 大气科学,1981,5(1):23 − 31. [FU Baopu. On the calculation of the evaporation from land surface[J]. Scientia Atmospheric Sinica,1981,5(1):23 − 31. (in Chinese with English abstract) doi:  10.3878/j.issn.1006-9895.1981.01.03
    [24]
    DU C,SUN F,YU Jingjie,et al. New interpretation of the role of water balance in an extended Budyko hypothesis in arid regions[J]. Hydrology and Earth System Sciences,2015,20:393 − 409.
    [25]
    ALLEN R G, PEREIRA L S, RAES D, et al. Crop evapotranspiration: Guidelines for computing crop water requirements[C]//Irrigation and Drainage Paper 56. Food and Agriculture, Organization. Rome, 1998: 56.
    [26]
    李云凤,王文科,王国庆,等. 黄河源区潜在蒸散量估算方法适用性分析[J]. 水文地质工程地质,2021,48(3):10 − 19. [LI Yunfeng,WANG Wenke,WANG Guoqing,et al. The applicability of various potential evapotranspiration estimation methods in the headwater area of the Yellow River[J]. Hydrogeology & Engineering Geology,2021,48(3):10 − 19. (in Chinese with English abstract) doi:  10.16030/j.cnki.issn.1000-3665.202011044
    [27]
    阴晓伟,吴一平,赵文智,等. 西北旱区潜在蒸散发的气候敏感性及其干旱特征研究[J]. 水文地质工程地质,2021,48(3):20 − 30. [YIN Xiaowei,WU Yiping,ZHAO Wenzhi,et al. Drought characteristics and sensitivity of potential evapotranspiration to climatic factors in the arid and semi-arid areas of northwest China[J]. Hydrogeology & Engineering Geology,2021,48(3):20 − 30. (in Chinese with English abstract) doi:  10.16030/j.cnki.issn.1000-3665.202012012
    [28]
    ZHANG L,DAWES W R,WALKER G R. Response of mean annual evapotranspiration to vegetation changes at catchment scale[J]. Water Resources Research,2001,37(3):701 − 708. doi:  10.1029/2000WR900325
    [29]
    ABATZOGLOU J T,FICKLIN D L. Climatic and physiographic controls of spatial variability in surface water balance over the contiguous United States using the Budyko relationship[J]. Water Resources Research,2017,53(9):7630 − 7643. doi:  10.1002/2017WR020843
    [30]
    MILLY P C D. Climate,interseasonal storage of soil water,and the annual water balance[J]. Advances in Water Resources,1994,17(1/2):19 − 24.
    [31]
    SHAO Quanxi, TRAYLEN A, ZHANG Lu. Nonparametric method for estimating the effects of climatic and catchment characteristics on mean annual evapotranspiration[J]. Water Resources Research, 2012, 48(3): W03517.
    [32]
    DE LAVENNE A,ANDRÉASSIAN V. Impact of climate seasonality on catchment yield:A parameterization for commonly-used water balance formulas[J]. Journal of Hydrology,2018,558:266 − 274. doi:  10.1016/j.jhydrol.2018.01.009
    [33]
    孙福宝. 基于Budyko水热耦合平衡假设的流域蒸散发研究[D]. 北京: 清华大学, 2007

    SUN Fubao. Study on watershed evapotranspiration based on the budyko hypothesis[D]. Beijing: Tsinghua University, 2007. (in Chinese with English abstract)
    [34]
    FRIEDMAN D. Evolutionary games in economics[J]. Econometrica,1991,59(3):637. doi:  10.2307/2938222
    [35]
    EAGLESON P S. Ecohydrology: Darwinian expression of vegetation form and function[M]. Cambridge: Cambridge University Press, 2002
    [36]
    FU Jianyu,WANG Weiguang. On the lower bound of Budyko curve:the influence of precipitation seasonality[J]. Journal of Hydrology,2019,570:292 − 303. doi:  10.1016/j.jhydrol.2018.12.062
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