Ge, J., Peng, W., Wei, H. W., Qu, X. & Singh, S. Quantitative assessment of flow regime alteration using a revised range of variability methods. Water 10(5), 597 (2018).
Google Scholar
Latrubesse, E. M. et al. Damming the rivers of the Amazon basin. Nature 546(7658), 363–369 (2017).
Google Scholar
Meade, R. H. & Moody, J. A. Causes for the decline of suspended-sediment discharge in the Mississippi River system, 1940–2007. Hydrol. Process 24(1), 35–49 (2010).
Fathi, M. M., Awadallah, A. G., Abdelbaki, A. M. & Haggag, M. A new Budyko framework extension using time series SARIMAX model. J. Hydrol. 570(2019), 827–838 (2019).
Google Scholar
Wang, H., Liu, J. & Guo, W. The variation and attribution analysis of the runoff and sediment in the lower reach of the Yellow River during the past 60 years. Water Supply 21(6), 3193–3209 (2021).
Google Scholar
Guo, S. L., Guo, J., Hou, Y., Xiong, L. & Hong, X. Prediction of future runoff change based on Budyko hypothesis in Yangtze River basin. Adv. Water Sci. 26(02), 151–160 (2015).
Zhang, X., Dong, Z., Gupta, H., Wu, G. & Li, D. Impact of the three gorges dam on the hydrology and ecology of the Yangtze River. Water 590(8), 1–18 (2016).
Google Scholar
Zhang, J., Zhang, M., Song, Y. & Lai, Y. Hydrological simulation of the Jialing River Basin using the MIKE SHE model in changing climate. J. Water Clim. Change 12(6), 1–20 (2021).
Richter, B. D., Baumgartner, J. V., Powell, J. & Braun, P. D. A method for assessing hydrologic alteration within ecosystems. Conserv. Biol. 10(4), 1163–1174 (1996).
Google Scholar
Richter, B. D., Baumgartner, J. V., Wigington, B. & Braun, D. How much water does a river need?. Freshw. Biol. 37(1), 231–249 (1997).
Google Scholar
Richter, B. D., Baumgartner, J. V., Braun, D. P. & Powell, J. A spatial assessment of hydrologic alteration within a river network. Regul. River Res. Manag. 14(4), 329–340 (1998).
Google Scholar
Guo, W., Xu, G., Shao, J., Bing, J. & Chen, X. Research on the middle and lower reaches of the Yangtze River and lake’s hydrological alterations based on RVA. In IOP Conference Series: Earth and Environmental Science Vol 153, No 6, 062047.1–062047.8 (2018).
Guo, W., Li, Y., Wang, H. & Zha, H. Assessment of eco-hydrological regime of lower reaches of Three Gorges Reservoir based on IHA-RVA. Resour. Environ. Yangtze Basin 27(09), 2014–2021 (2018).
Zuo, Q. & Liang, S. Effects of dams on river flow regime based on IHA/RVA. Proc. Int. Assoc. Hydrol. Sci. 368(368), 275–276 (2015).
Mwedzi, T., Katiyo, L., Mugabe, F. T., Bere, T. & Kuoika, O. L. A spatial assessment of stream-flow characteristics and hydrologic alterations, post dam construction in the Manyame catchment, Zimbabwe. Water Sa 42(2), 194–202 (2016).
Google Scholar
Liu, J., Chen, J., Xu, J., Lin, Y. & Zhou, M. Attribution of runoff variation in the headwaters of the Yangtze River based on the Budyko hypothesis. Int. J. Environ. Res. Public Health 16(14), 2506.1-2506.15 (2019).
Yan, D. Using budyko-type equations for separating the impacts of climate and vegetation change on runoff in the source area of the yellow river. Water 12(12), 3418.1-3418.15 (2020).
Google Scholar
Gunkel, A. & Lange, J. Water scarcity, data scarcity and the Budyko curve—An application in the Lower Jordan River Basin. J. Hydrol. Reg. Stud. 12(C), 136–149 (2017).
Google Scholar
Fathi, M. M., Awadallah, A. G., Abdelbaki, A. M. & Haggag, M. A new Budyko framework extension using time series SARIMAX model. J. Hydrol. 570, 827–838 (2019).
Google Scholar
Li, Y., Fan, J. & Liao, Y. Variation characteristics of streamflow and sediment in the Jialing river basin in the past 60 years. Mt. Res. 38(03), 339–348 (2020).
Liu, Y., Li, F. & Xu, X. Impacts of hydropower development on hydrological regime in mainstream of mid-lower Jialing River. Yangtze River 45(05), 10–15 (2014).
Zhou, Y. et al. Distinguishing the multiple controls on the decreased sediment flux in the Jialing River basin of the Yangtze River, Southwestern China. CATENA 193(C), 104593.1-104593.11 (2020).
Zeng, X. et al. Changes and relationships of climatic and hydrological droughts in the Jialing River Basin, China. PLoS ONE 10(11), e0141648 (2015).
Google Scholar
Yan, M., Fang, G. H., Dai, L. H., Tan, Q. F. & Huang, X. F. Optimizing reservoir operation considering downstream ecological demands of water quantity and fluctuation based on IHA parameters. J. Hydrol. 4(2021), 126647 (2021).
Google Scholar
Wei, R., Liu, J., Zhang, T., Zeng, Q. & Dong, X. Attribution analysis of runoff variation in the upper-middle reaches of Yalong river. Resour. Environ. Yangtze Basin 29(07), 1643–1652 (2020).
Xie, J. H., Yu, J. H., Chem, H. S. & Hsu, P. C. Sources of subseasonal prediction skill for heatwaves over the Yangtze river basin revealed from three S2S models. Adv. Atmos. Sci. 37(12), 1435–1450 (2020).
Google Scholar
Guo, W., Li, Y., Wang, H. & Cha, H. Temporal variations and influencing factors of river runoff and sediment regimes in the Yangtze River, China. Desalin. Water Treat. 174(2020), 258–270 (2020).
Google Scholar
Tian, X. et al. Hydrologic alteration and possible underlying causes in the Wuding River, China. Sci. Total Environ. 693, 133556.1-133556.9 (2019).
Google Scholar
Tang, B., Wang, W. C. & Fan, X. Study on the influence of reservoir dispatch of the upper Yangtze river on the runoff control. E3S Web Conf. 283(18), 01030 (2021).
Liu, Y. et al. Characteristics and resource status of main commercial fish in the middle reaches of Jialing River, China. J. Appl. Environ. Biol. 27(04), 837–847 (2021).
Sun, Z., Zhang, M. & Chen, Y. Protection of the rare and endemic fish in the conservation area located in the upstream of the Yangtze River. Freshw. Fish. 44(06), 3–8 (2014).
Chen, Q. H. et al. Impacts of climate change and LULC change on runoff in the Jinsha River Basin. J. Geogr. Sci. 30(01), 85–102 (2020).
Google Scholar
Cui, L., Wang, Z. & Deng, L. Vegetation dynamics based on NDVI in Yangtze River Basin (China) during 1982–2015. IOP Conf. Ser. Materials Sci. Eng. 780(2020), 062049 (2020).
Google Scholar
Wang, Y., Wang, S., Wu, M. & Wang, S. Impacts of the land use and climate changes on the hydrological characteristics of Jialing River Basin. Res. Soil Water Conserv. 26(01), 135–142 (2019).
Wu, Y. L. & Pu, H. W. Y. The influence of hydropower station on sand content detection in Jialing River. Technol. Dev. Enterp. 38(9), 55–58 (2019).
Zhuo, Z., Qian, Z., Jiang, H., Wang, H. & Guo, W. Evaluation of hydrological regime in Xiangjiang basin on IHA-RVA method. China Rural Water Hydropower 8(2020), 188–192 (2020).
Chen, L. et al. Temporal characteristics detection and attribution analysis of hydrological time-series variation in the seagoing river of southern China under environmental change. Acta Geophys. 66(5), 1151–1170 (2018).
Google Scholar
Zhang, R., Liu, J., Mao, G. & Wang, L. Flow regime alterations of upper Heihe River based on improved RVA. Arid Zone Res. 38(01), 29–38 (2021).
Sun, Y. & Wang, X. Changes in runoff and driving force analysis in the key section of the Yellow River diversion project. J. Hydroecol. 41(06), 19–26 (2020).
Zhang, L., Dawes, W. R. & Walker, G. R. Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resour. Res. 37(3), 701–708 (2001).
Google Scholar
Fu, B. Calculation of soil evaporation. Acta Meteor. Sin. 02(1981), 226–236 (1981).
Liu, J., Zhang, Q., Singh, V. P. & Shi, P. Contribution of multiple climatic variables and human activities to streamflow changes across China. J. Hydrol. 545(2016), 145–162 (2016).
Yang, D., Zhang, S. & Xu, X. Attribution analysis for runoff decline in Yellow River Basin during past fifty years based on Budyko hypothesis. Sci. Sinica 45(10), 1024–1034 (2015).
Schreiber, P. Ber die Beziehungen zwischen dem Niederschlag und der Wasserführung der Flüsse in Mitteleuropa. Meteorol. Z. 21, 441–452 (1904).
Budyko, M. Evaporation under Natural Conditions (Gidrometeorizdat, Leningrad, Russia, 1948).
Pike, J. The estimation of annual run-off from meteorological data in a tropical climate. J. Hydrol. 2, 116–123 (1964).
Ol’dekop, E. On evaporation from the surface of river basins. Trans. Meteorol. Obs. 4, 200 (1911).
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