Cao W, Shen SH, Duan CF. 2011. Quantitative analysis of the CAUSES of Evapotranspiration variation of Reference Crops during the Growing Season in Northwest China. Acta Geographica Sinica, 66(3): 407−415. (in Chinese) |
Chen Y, Ju Q, Bai MWD, et al. 2019. Evaluation of potential evapotranspiration estimation method based on small lysimeter experiments. Water and Power Energy Science, 37(2): 14−17. (in Chinese) |
Cheng H, Wang G, Hu H, et al. 2008. The variation of soil temperature and water content of seasonal frozen soil with different vegetation coverage in the head water region of the Yellow River, China. Environmental Geology, 54(8): 1755−1762. doi: 10.1007/s00254-007-0953-x |
Cui Y, Zhang LH, Wu ZF, et al. 2020. Simulation and analysis of evapotranspiration in Jiang River in western Hubei during 1999‒2016 based on BEPS-Terrainlab v2.0 model. Journal of Central China normal university (Nat. Sci. ), 54(1): 140−148. (in Chinese) doi: 10.19603/j.cnki.1000-1190.2020.01.021 |
Dai LC, Cao YF, Ke X, et al. 2018. Response of reference evaportranspiration to meteorological factors in alpine meadows on the Tibet Plateau. Pratacultural Science, 35(9): 2137−2147. (in Chinese) doi: 10.11829/j.issn.1001-0629.2017-0614 |
Dimitriadou S, Nikolakopoulos K. G. 2022. Artificial neural networks for the prediction of the reference evapotranspiration of the Peloponnese Peninsula, Greece. Water, 14: 2027. doi: 10.3390/w14132027 |
Dinesh kumar vishwakarma, Kusum pandey, Arshdeep kaur, et al. 2022. Methods to estimate evapotranspiration in humid and subtropical climate conditions. Agricultural Water Management, 1 March. |
Dong SY, Xue X, Xu MH, et al. 2013. Effects of climate change on water environment in Tibetan Plateau. Arid Land Geography, 35(5): 841−853. (in Chinese) |
Gao GL, Feng Q, Liu XD. 2020. Simulation of Evapotranspiration in DESERT RIparian POPULus euphratica forest based on improved dual-source model. Acta Ecologica Sinica, 40(10): 3462−3472. (in Chinese) doi: 10.5846/stxb201902220323 |
Ghiat I, Mackey H. R, Al-Ansari T. 2021. A review of evapotranspiration measurement models, techniques and methods for open and closed agricultural field applications. Water, 13: 2523. doi: 10.3390/w13182523 |
Hao QC, Shao JL, Cui YL, et al. 2016. Development of a new method for efficiently calculating of evaporation from the phreatic aquifer in variably saturated flow modeling. Journal of Groundwater Science and Engineering, 4(1): 26−34. |
Huang D, Wang J, Khayatnezhad M. 2021. Estimation of actual evapotranspiration using soil moisture balance and remote sensing. Iran J Sci Technol Trans Civ Eng, 45: 2779−2786. |
Kadkhodazadeh M, Valikhan Anaraki M, Morshed-Bozorgdel A, et al. 2022. A new methodology for reference evapotranspiration prediction and uncertainty analysis under climate change conditions based on machine learning, multi criteria decision making and monte carlo methods. Sustainability, 14: 2601. doi: 10.3390/su14052601 |
Li YS, Jia XH, Qi YJ, et al. 2019. Sensitivity of soil evapotranspiration to climate change in the permafrost area. Plateau Meteorology, 38(6): 1293−1299. (in Chinese) doi: 10.7522/j.issn.1000-0534.2019.00077 |
Lu T, Zheng JH. 2018. Remote sensing inversion of Evapotranspiration and its spatial-temporal variation in Hutubi County. Water Saving Irrigation, (10): 91‒96. (in Chinese) |
Mau Rer G E, Bowling D R. 2014. Seasonal snowpack characteristics influence soil temperature and water content at multiple scales in interior western US mountain ecosystems. Water Resources Research, 50(6): 5216−5234. doi: 10.1002/2013WR014452 |
Peng W, Gao YH. 2011. Simulation of energy and water cycles in the Thawing process of the Tibetan Plateau. Journal of Glaciology and Geocryology, 33(2): 364−373. (in Chinese) |
Qiao CL, He XL, Yang G, et al. 2014. Remote sensing estimation of ET in Manas River Basin based on two-layer impedance model. Journal of Arid Land Resources and Environment, 28(9): 179−184. (in Chinese) |
Qiao G, Wang WK. 2014. Evaporation intensity of bare soil in northwest Arid inland Basin. Journal of Jilin University (Earth Science Edition), 04: 1327‒1332. (in Chinese). |
Taheri M, Mohammadian A, Ganji F, et al. 2022. Energy-based approaches in estimating actual evapotranspiration focusing on land surface temperature: A review of methods, concepts, and challenges. Energies, 15: 1264. doi: 10.3390/en15041264 |
Wan L, Cao WB, Zhou X, et al. 2004. Experimental study on the effect of temperature change on water distribution in vadose zone. Hydrogeology Engineering Geology, (3): 25‒28. (in Chinese) |
Wang FQ, Wang RY, Sun MQ. 2018. Analysis on evapotranspiration characteristics of riverside wetland in cold regions based on eddy covariance. Journal of North China University of Water Resources and Electric Power (Natural Science Edition), 39(1): 57−62. (in Chinese) doi: 10.3969/j.issn.1002-5634.2018.01.009 |
Wang GL, Zhang W, Liang JY, et al. 2017. Evaluation of geothermal resources potential in China. Acta Geoscientica Sinica, 38(4): 449−459. (in Chinese) doi: 10.3975/cagsb.2017.04.02 |
Wang H, Ma M, Wang X, et al. 2013. Seasonal variation of vegetation productivity over an alpine meadow in the Qinghai-Tibet Plateau in China: Modeling the interactions of vegetation productivity, phenology, and the soil freeze-thaw process. Ecological Research, 28(2): 271−282. doi: 10.1007/s11284-012-1015-8 |
Wang LH, He XB, Ding YJ. 2018. Characteristics and influencing factors of evapotranspiration in alpine meadow in central Tibetan Plateau. Journal of Glaciology and Geocryology, 39(6): 1−6. (in Chinese) doi: 10.7522/j.issn.1000-0240.2017.0329 |
Wang SQ, Song XF, Wei SC, et al. 2016. Application of HYDRUS-1D in understanding soil water movement at two typical sites in the North China Plain. Journal of Groundwater Science and Engineering, 14(1): 1−11. |
Wang WH, Wu TH, Li R, et al. 2017. An overview of advances on moisture migration of the active layer in permafrost regions of the Qinghai-Tibetan Plateau. Journal of Northwest Normal University (Natural Science Edition), 53(1): 102−111. (in Chinese) doi: 10.16783/j.cnki.nwnuz.2017.01.018 |
Wang WK, Gong CC, Zhang ZY, et al. 2018. Research status and prospect of the subsurface hydrology and ecological effect in arid regions. Advances in Earth Science, 33(7): 702−718. (in Chinese) doi: 10.11867/j.issn.1001-8166.2018.07.0702 |
Wang WK, Zhang ZY, Jim Yeh TC, et al. 2017. Flow dynamics in vadose zones with and without vegetation in an arid region. Advances in Water Resource, 106: 68−79. doi: 10.1016/j.advwatres.2017.03.011 |
Xi D, Wang WK, Zhao M, et al. 2020. Analyses of the spatio-temporal heterogeneity of evapotranspiration in the piedmont of the Manas River Basin. Hydrogeology Engineering Geology, 47(2): 25−34. (in Chinese) doi: 10.16030/j.cnki.issn.1000-3665.201910030 |
Yang Y, Anderson M, Gao F, 2022. Improved daily evapotranspiration estimation using remotely sensed data in a data fusion system. Remote Sens, 14: 1772. |
Yang Y, Sun XY, Zhang L, et al. 2020. Estimation of terrestrial evapotranspiration of grassland in semi-arid region of the loess plateau by simulation-correction method. Research of Soil and Water Conservation, 27(2): 178−192. (in Chinese) doi: 10.13869/j.cnki.rswc.2020.02.026 |
Zhao W, Lin YZ, Zhou PP, et al. 2021. Characteristics of groundwater in Northeast Qinghai-Tibet Plateau and its response to climate change and human activities: A case study of Delingha, Qaidam Basin, China. Geology, 4: 377−388. |
Zhang G, Xia JX, Wang SD, et al. 2018. Remote-control simulation of daily evapotranspiration in Heihe River Basin by multi-sensor. Water Science and Technology of South-to-North Water Diversion Project, 16 (6): 33‒38. (in Chinese). |
Zhong HS, Xu XL, Zhang RF, et al. 2018. MODIS-driven estimation of regional evapotranspiration in Karst area of Southwest China based on the Penman-Monteith-Leuning algorithm. Chinese Journal of Applied Ecology, 29(5): 1617−1625. (in Chinese) doi: 10.13287/j.1001-9332.201805.014 |
Zhou T, Zhang YS, Gao HF, et al. 2015. Relationship between vegetation index and ground surface temperature on the Tibetan Plateau alpine grassland. Journal of Glaciology and Geocryology, 37(1): 58−69. (in Chinese) doi: 10.7522/j.issn.1000-0240.2015.0006 |