[1]Li Shuai,Song Jinxi,Qi Guizeng.Analysis of Spatiotemporal Variation and Attribution of Evapotranspiration in Weihe River Basin Based on Budyko Model[J].Research of Soil and Water Conservation,2024,31(05):304-314.[doi:10.13869/j.cnki.rswc.2024.05.039]
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Analysis of Spatiotemporal Variation and Attribution of Evapotranspiration in Weihe River Basin Based on Budyko Model
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 05
Page number:
304-314
Column:
Public date:
2024-08-10
- Title:
- Analysis of Spatiotemporal Variation and Attribution of Evapotranspiration in Weihe River Basin Based on Budyko Model
- CLC:
- K903
- DOI:
- 10.13869/j.cnki.rswc.2024.05.039
- Abstract:
- [Objective]The aim of this study is to quantitatively assess the evapotranspiration trends and analyze its response to environmental changes in the Weihe River Basin, so as to be conducive to the study of water resources change in this region. [Methods]Based on the Budyko framework and combined with NDVI, land use type, GLEAM evapotranspiration remote sensing data, meteorological and hydrological data and social and economic data, the trend of each driving factor was analyzed, an empirical model of time-varying Budyko parameter n was constructed, and the elastic coefficient method was adopted to quantitatively evaluate the influence of each factor change on evapotranspiration. [Results](1)From 1990 to 2020, the actual evtranspiration in the Weihe River Basin showed a significant growth trend, with the overall growth rate of 1.98 mm/a, and the spatial trend was gradually decreasing from southeast to northwest.(2)The hydrothermal parameter n of the underlying surface of the Weihe River Basin showed an increasing trend, and parameter n had a high correlation with the NDVI, population, cultivated land area, grassland and GDP of the region. In the simulation of evapotranspiration, the results of the empirical model with time-varying parameter n are better than those with constant parameter n.(3)Evapotranspiration in Weihe River Basin was the most sensitive to precipitation, but not to underlying surface parameter n, which was most sensitive to NDVI.(4)Precipitation contributed the most to evapotranspiration, followed by underlying surface factors, and potential evapotranspiration contributed the least. [Conclusion]Evapotranspiration in the Weihe River Basin showed a significant increase trend during the study period, and climate change played a leading role in the change of evapotranspiration in this region, but the influence of human activities on evapotranspiration became more and more obvious.
- References:
-
[1]Zhao J F, Li C, Yang T Y, et al. Estimation of high spatiotemporal resolution actual evapotranspiration by combining the SWH model with the METRIC model[J]. Journal of Hydrology, 2020,586:124883.
[2]Oki T, Kanae S. Global hydrological cycles and world water resources[J]. Science, 2006,313(5790):1068-1072.
[3]Yang Z L, Bai P, Li Y Z. Quantifying the effect of vegetation greening on evapotranspiration and its components on the Loess Plateau[J]. Journal of Hydrology, 2022,613:128446.
[4]Ohmura A, Wild M. Is the hydrological cycle accelerating[J]. Science, 2002,298(5597):1345-1346.
[5]孙睿,刘昌明.地表水热通量研究进展[J].应用生态学报,2003,14(3):434-438.
Sun R, Liu C M. A review on research of land surface water and heat fluxes[J]. Chinese Journal of Applied Ecology, 2003,14(3):434-438.
[6]Piao S L, Ciais P, Huang Y, et al. The impacts of climate change on water resources and agriculture in China[J]. Nature, 2010,467:43-51.
[7]任立良,沈鸿仁,袁飞,等.变化环境下渭河流域水文干旱演变特征剖析[J].水科学进展,2016,27(4):492-500.
Ren L L, Shen H R, Yuan F, et al. Hydrological drought characteristics in the Weihe Catchment in a changing environment[J]. Advances in Water Science, 2016,27(4):492-500.
[8]魏红义,李靖,王江,等.渭河流域径流变化趋势及其影响因素分析[J].水土保持通报,2008,28(1):76-80.
Wei H Y, Li J, Wang J, et al. Analysis on runoff trend and influence factors in Weihe River Basin[J]. Bulletin of Soil and Water Conservation, 2008,28(1):76-80.
[9]和宛琳,徐宗学.渭河流域气温与蒸发量时空分布及其变化趋势分析[J].北京师范大学学报:自然科学版,2006,42(1):102-106.
He W L, Xu Z X. Spatial and temporal characteristics of the long-term trend for temperature and pan evaporation in the Wei River Basin[J]. Journal of Beijing Normal University:Natural Science, 2006,42(1):102-106.
[10]孙福宝,杨大文,刘志雨,等.基于Budyko假设的黄河流域水热耦合平衡规律研究[J].水利学报,2007,38(4):409-416.
Sun F B, Yang D W, Liu Z Y, et al. Study on coupled water-energy balance in Yellow River Basin based on Budyko Hypothesis[J]. Journal of Hydraulic Engineering, 2007,38(4):409-416.
[11]程三友,王红梅,李英杰.渭河水系流域地貌特征及其成因分析[J].地理与地理信息科学,2011,27(3):45-49.
Cheng S Y, Wang H M, Li Y J. Geomorphology characteristics of the Wei River Basin and its formation reasons[J]. Geography and Geo-Information Science, 2011,27(3):45-49.
[12]张耀文,张勃,姚荣鹏,等.2000—2020年渭河流域植被覆盖度及产水量时空变化[J].中国沙漠,2022,42(2):223-233.
Zhang Y W, Zhang B, Yao R P, et al. Temporal and spatial changes of vegetation coverage and water production in the Weihe River Basin from 2000 to 2020[J]. Journal of Desert Research, 2022,42(2):223-233.
[13]陶国通,王景雷,南纪琴,等.基于温度的作物需水量估算方法[J].应用生态学报,2014,25(7):2019-2025.
Tao G T, Wang J L, Nan J Q, et al. Calculating method for crop water requirement based on air temperature[J]. Chinese Journal of Applied Ecology, 2014,25(7):2019-2025.
[14]杨秀芹,王国杰,潘欣,等.基于GLEAM遥感模型的中国1980—2011年地表蒸散发时空变化[J].农业工程学报,2015,31(21):132-141.
Yang X Q, Wang G J, Pan X, et al. Spatio-temporal variability of terrestrial evapotranspiration in China from 1980 to 2011 based on GLEAM data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015,31(21):132-141.
[15]徐洋,杨雅萍.1982—2020年中国5 km分辨率逐月NDVI数据集[J].中国科学数据,2022,7(1):99-107.
Xu Y, Yang Y P. A 5 km resolution dataset of monthly NDVI product of China(1982—2020)[J]. China Scientific Data, 2022,7(1):99-107.
[16]Yang J, Huang X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021,13(8):3907-3925.
[17]谢宝妮,秦占飞,王洋,等.黄土高原植被净初级生产力时空变化及其影响因素[J].农业工程学报,2014,30(11):244-253.
Xie B N, Qin Z F, Wang Y, et al. Spatial and temporal variation in terrestrial net primary productivity on Chinese Loess Plateau and its influential factors[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014,30(11):244-253.
[18]Ning T T, Liu W Z, Lin W, et al. NDVI variation and its responses to climate change on the northern Loess Plateau of China from 1998 to 2012[J]. Advances in Meteorology, 2015,2015:725427.
[19]张洪波,王斌,辛琛,等.去趋势预置白方法对径流序列趋势检验的影响[J].水力发电学报,2016,35(12):56-69.
Zhang H B, Wang B, Xin C, et al. Effects of trend-free pre-whitening methods on trend detection in Mann-Kendall test of runoff series[J]. Journal of Hydroelectric Engineering, 2016,35(12):56-69.
[20]Pettitt A N. A non-parametric approach to the change-point problem[J]. Journal of the Royal Statistical Society:Series C(Applied Statistics), 1979,28(2):126-135.
[21]Hair J F, Black W B, Babin B J, et al. Multivariate Data Analysis[M]. Kent:Prentice Hall, 2009.
[22]Wang F Y, Xia J, Zou L, et al. Estimation of time-varying parameter in Budyko framework using long short-term memory network over the Loess Plateau, China[J]. Journal of Hydrology, 2022,607:127571.
[23]张芳宁,杨亮洁,杨永春.1981—2016年黄土高原植被NDVI变化及对气候和人类活动的响应[J].水土保持研究,2023,30(2):230-237.
Zhang F N, Yang L J, Yang Y C. Change of vegetation NDVI and its response to climatic and human activities in the Loess Plateau during 1981—2016[J]. Research of Soil and Water Conservation, 2023,30(2):230-237.
[24]Deng W J, Song J X, Sun H T, et al. Isolating of climate and land surface contribution to basin runoff variability:A case study from the Weihe River Basin, China[J]. Ecological Engineering, 2020,153:105904.
[25]王丽霞,夏鹏宇,杨潇,等.渭河流域蒸散发时空反演及其对人类活动的响应[J].水利水电技术(中英文),2023,54(12):120-132.
Wang L X, Xia P Y, Yang X, et al. Spatial-temporal inversion of evapotranspiration in the Weihe River Basin and its response to human activities[J]. Water Resources and Hydropower Engineering, 2023,54(12):120-132.
[26]徐瑞瑞.渭河流域实际蒸散发的时空变异研究[D].陕西杨凌:西北农林科技大学,2020.
Xu R R. Spatio-Temporal Variation of Actual Evapotranspiration in the Wei River[D].Yangling, Shaanxi:Northwest A&F University, 2020.
[27]王飞宇.时变Budyko框架下黄土高原中部径流变化及其归因分析[D].西安:陕西师范大学,2022.
Wang F Y. Runoff change and its attribution analysis in the central Loess Plateau under the time-varying Budyko framework[D]. Xi'an:Shaanxi Normal University, 2022.
[28]王卫光,陆文君,邢万秋,等.黄河流域Budyko方程参数n演变规律及其归因研究[J].水资源保护,2018,34(2):7-13.
Wang W G, Lu W J, Xing W Q, et al. Analysis of change and attribution of Budyko equation parameter n in Yellow River[J]. Water Resources Protection, 2018,34(2):7-13.
[29]Sun X Y, Dong Q J, Zhang X. Attribution analysis of runoff change based on Budyko-type model with time-varying parameters for the Lhasa River Basin, Qinghai-Tibet Plateau[J]. Journal of Hydrology:Regional Studies, 2023,48:101469.
[30]He G H, Zhao Y, Wang J H, et al. Attribution analysis based on Budyko hypothesis for land evapotranspiration change in the Loess Plateau, China[J]. Journal of Arid Land, 2019,11(6):939-953.
[31]Wu H S, Liu D F, Chang J X, et al. Impacts of climate change and human activities on runoff in Weihe Basin based on Budyko hypothesis[J]. IOP Conference Series:Earth and Environmental Science, 2017,82:012063.
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Last Update:
2024-08-10