References

• Anderson, H. W. (1955). Detecting hydrologic effects of changes in watershed conditions by double‐mass analysis. Eos, Transactions American Geophysical Union, 36(1), 1–12. https://doi.org/10.1029/TR036i001p00119
   Google Scholar
• Ashagrie, A. G., De Laat, P. J., De Wit, M. J., Tu, M., & Uhlenbrook, S. (2006). Detecting the influence of land use changes on discharges and floods in the Meuse River Basin – The predictive power of a ninety-year rainfall-runoff relation? Hydrology and Earth System Sciences, 10(5), 691–701. https://doi.org/10.5194/hess-10-691-2006
   Web of Science ®Google Scholar
• Awotwi, A., Anornu, G. K., Quaye‐Ballard, J. A., & Annor, T. (2018). Monitoring land use and land cover changes due to extensive gold mining, urban expansion, and agriculture in the Pra River Basin of Ghana, 1986–2025. Land Degradation & Development, 29(10), 3331–3343. https://doi.org/10.1002/ldr.3093
   Web of Science ®Google Scholar
• Baez-Villanueva, O. M., Zambrano-Bigiarini, M., Ribbe, L., Nauditt, A., Giraldo-Osorio, J. D., & Thinh, N. X. (2018). Temporal and spatial evaluation of satellite rainfall estimates over different regions in Latin-America. Atmospheric Research, 213, 34–50. https://doi.org/10.1016/j.atmosres.2018.05.011
   Web of Science ®Google Scholar
• Bodoque, J. M., Amérigo, M., Díez-Herrero, A., García, J. A., Cortés, B., Ballesteros-Cánovas, J. A., & Olcina, J. (2016). Improvement of resilience of urban areas by integrating social perception in flash-flood risk management. Journal of Hydrology, 541, 665–676. https://doi.org/10.1016/j.jhydrol.2016.02.005
   Web of Science ®Google Scholar
• Buishand, T. A. (1982). Some methods for testing the homogeneity of rainfall records. Journal of Hydrology, 58(1–2), 11–27. https://doi.org/10.1016/0022-1694(82)90066-X
   Web of Science ®Google Scholar
• Chalov, S., Golosov, V., Tsyplenkov, A., Theuring, P., Zakerinejad, R., Märker, M., & Samokhin, M. (2017). A toolbox for sediment budget research in small catchments. Geography, Environment, Sustainability, 10(4), 43–68. https://doi.org/10.24057/2071-9388-2017-10-4-43-68
   Google Scholar
• Chang, M., & Lee, R. (1974). Objective double‐mass analysis. Water Resources Research, 10(6), 1123–1126. https://doi.org/10.1029/WR010i006p01123
   Web of Science ®Google Scholar
• Chang, K. L., Schultz, M. G., Lan, X., McClure-Begley, A., Petropavlovskikh, I., Xu, X., & Ziemke, J. R. (2021). Trend detection of atmospheric time series: Incorporating appropriate uncertainty estimates and handling extreme events. Elementa: Science of the Anthropocene, 9(1), 00035. https://doi.org/10.1525/elementa.2021.00035
   Web of Science ®Google Scholar
• Choi, W., Nauth, K., Choi, J., & Becker, S. (2016). Urbanization and rainfall–runoff relationships in the Milwaukee River basin. The Professional Geographer, 68(1), 14–25. https://doi.org/10.1080/00330124.2015.1007427
   Web of Science ®Google Scholar
• Cluis, D., & Laberge, C. (2001). Climate change and trend detection in selected rivers within the Asia-Pacific region. Water International, 26(3), 411–424. https://doi.org/10.1080/02508060108686933
   Web of Science ®Google Scholar
• Cluis, D., Langlois, C., Van Coillie, R., & Laberge, C. (1989). Development of a software package for trend detection in temporal series: Application to water and industrial effluent quality data for the St. Lawrence River. Environmental Monitoring and Assessment, 13(2), 429–441. https://doi.org/10.1007/BF00394243
   PubMed Web of Science ®Google Scholar
• Dias, J. P., Ekwaro-Osire, S., Cunha, A., Jr, Dabetwar, S., Nispel, A., Alemayehu, F. M., & Endeshaw, H. B. (2019). Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data. International Journal of Fatigue, 127, 246–258. https://doi.org/10.1016/j.ijfatigue.2019.06.011
   Web of Science ®Google Scholar
• Dike, J., & Tilburg, C. (2007). Climatic timescale temperature and precipitation increases on Long Island, New York. Atmosphere-ocean, 45(2), 93–105. https://doi.org/10.3137/ao.450203
   Web of Science ®Google Scholar
• Du, M., Mu, X., Zhao, G., Gao, P., & Sun, W. (2021). Changes in runoff and sediment load and potential causes in the Malian River basin on the Loess Plateau. Sustainability, 13(2), 443. https://doi.org/10.3390/su13020443
   Web of Science ®Google Scholar
• Easterling, D. R., & Peterson, T. C. (1995). A new method for detecting undocumented discontinuities in climatological time series. International Journal of Climatology, 15(4), 369–377. https://doi.org/10.1002/joc.3370150403
   Web of Science ®Google Scholar
• Gao, P., Li, P., Zhao, B., Xu, R., Zhao, G., Sun, W., & Mu, X. (2017). Use of double mass curves in hydrologic benefit evaluations. Hydrological Processes, 31(26), 4639–4646. https://doi.org/10.1002/hyp.11377
   Web of Science ®Google Scholar
• Gao, P., Mu, X. M., Wang, F., & Li, R. (2011). Changes in streamflow and sediment discharge and the response to human activities in the middle reaches of the Yellow River. Hydrology and Earth System Sciences, 15(1), 1–10. https://doi.org/10.5194/hess-15-1–2011
   Web of Science ®Google Scholar
• Gebremicael, T. G., Mohamed, Y. A., Betrie, G. D., Van der Zaag, P., & Teferi, E. (2013). Trend analysis of runoff and sediment fluxes in the Upper Blue Nile basin: A combined analysis of statistical tests, physically-based models and landuse maps. Journal of Hydrology, 482, 57–68. https://doi.org/10.1016/j.jhydrol.2012.12.023
   Web of Science ®Google Scholar
• Guo, A., Chang, J., Liu, D., Wang, Y., Huang, Q., & Li, Y. (2016). Variations in the precipitation–runoff relationship of the Weihe River basin. Hydrology Research, 48(1), 295–310. https://doi.org/10.2166/nh.2016.032
   Web of Science ®Google Scholar
• Guo, C., Jin, Z., Guo, L., Lu, J., Ren, S., & Zhou, Y. (2020). On the cumulative dam impact in the upper Changjiang River: Streamflow and sediment load changes. Catena, 184, 104250. https://doi.org/10.1016/j.catena.2019.104250
   Web of Science ®Google Scholar
• Han, J., Gao, J., & Luo, H. (2019). Changes and implications of the relationship between rainfall, runoff and sediment load in the Wuding River basin on the Chinese Loess Plateau. Catena, 175, 228–235. https://doi.org/10.1016/j.catena.2018.12.024
   Web of Science ®Google Scholar
• Huang, X. R., Gao, L. Y., Yang, P. P., & Xi, Y. Y. (2018). Cumulative impact of dam constructions on streamflow and sediment regime in lower reaches of the Jinsha River, China. Journal of Mountain Science, 15(12), 2752–2765. https://doi.org/10.1007/s11629-018-4924-3
   Web of Science ®Google Scholar
• Hu, C., Wang, Y., Guan, J., & Shi, Z. (2012). The causes of runoff variation based on double cumulative curve analysis method. Journal of Water Resources Research, 1(4), 204–210. https://doi.org/10.12677/JWRR.2012.14028
   Google Scholar
• Jiang, S., Wang, M., Ren, L., Xu, C. Y., Yuan, F., Liu, Y., Lu, Y., & Shen, H. (2019). A framework for quantifying the impacts of climate change and human activities on hydrological drought in a semiarid basin of Northern China. Hydrological Processes, 33(7), 1075–1088. https://doi.org/10.1002/hyp.13386
   Web of Science ®Google Scholar
• Kleinhans, M. G., Wilbers, A. W. E., & Ten-Brinke, W. B. M. (2007). Opposite hysteresis of sand and gravel transport upstream and downstream of a bifurcation during a flood in the River Rhine. Netherlands Journal of Geosciences, 86(3), 273–285. https://doi.org/10.1017/S0016774600077854
   Web of Science ®Google Scholar
• Klemeš, V. (1979). Storage mass‐curve analysis in a systems‐analytic perspective. Water Resources Research, 15(2), 359–370. https://doi.org/10.1029/WR015i002p00359
   Web of Science ®Google Scholar
• Klemeš, V. (1983). Conceptualization and scale in hydrology. Journal of Hydrology, 65(1–3), 1–23. https://doi.org/10.1016/0022-1694(83)90208-1
   Web of Science ®Google Scholar
• Kohler, M. A. (1949). On the use of double-mass analysis for testing the consistency of meteorological records and for making required adjustments. Bulletin of the American Meteorological Society, 30(5), 188–195. https://doi.org/10.1175/1520-0477-30.5.188
   Google Scholar
• Li, P., Chen, J., Zhao, G., Holden, J., Liu, B., Chan, F. K. S., Hu, J., Wu, P., & Mu, X. (2022). Determining the drivers and rates of soil erosion on the Loess Plateau since 1901. Science of the Total Environment, 823, 153674. https://doi.org/10.1016/j.scitotenv.2022.153674
   PubMed Web of Science ®Google Scholar
• Li, D., Lu, X. X., Yang, X., Chen, L., & Lin, L. (2018). Sediment load responses to climate variation and cascade reservoirs in the Yangtze River: A case study of the Jinsha River. Geomorphology, 322, 41–52. https://doi.org/10.1016/j.geomorph.2018.08.038
   Web of Science ®Google Scholar
• Liu, S. W., Zhang, X. F., Xu, Q. X., Liu, D. C., Yuan, J., & Wang, M. L. (2019). Variation and driving factors of water discharge and sediment load in dierent regions of the Jinsha River Basin in China in the past 50 years. Water, 11(1109), w11051109.
   Google Scholar
• Manson, S. S., & Halford, G. R. (1981). Practical implementation of the double linear damage rule and damage curve approach for treating cumulative fatigue damage. International Journal of Fracture, 17(2), 169–192. https://doi.org/10.1007/BF00053519
   Web of Science ®Google Scholar
• Meysam, S., Ali-Mohammad, A. A., Arash, A., & Alireza, D. (2012). Trend and change-point detection for the annual stream-flow series of the Karun River at the Ahvaz hydrometric station. African Journal of Agricultural Research, 7(32), 4540–4552.
   Google Scholar
• Moret-Fernández, D., Latorre, B., Giner, M. D. L. L., Ramos, J., Alados, C. L., Castellano, C., López, M. V., Jimenez, J. J., & Pueyo, Y. (2019). Estimation of the soil hydraulic properties from the transient infiltration curve measured on soils affected by water repellency. Catena, 178, 298–306. https://doi.org/10.1016/j.catena.2019.03.031
   Web of Science ®Google Scholar
• Peeters, S. H., Van Zwet, E. W., Oepkes, D., Lopriore, E., Klumper, F. J., & Middeldorp, J. M. (2014). Learning curve for fetoscopic laser surgery using cumulative sum analysis. Acta obstetricia et gynecologica Scandinavica, 93(7), 705–711. https://doi.org/10.1111/aogs.12402
   PubMed Web of Science ®Google Scholar
• Pettitt, A. N. (1981). Posterior probabilities for a change-point using ranks. Biometrika, 68(2), 443–450. https://doi.org/10.1093/biomet/68.2.443
   Web of Science ®Google Scholar
• Pirnia, A., Darabi, H., Choubin, B., Omidvar, E., Onyutha, C., & Haghighi, A. T. (2019). Contribution of climatic variability and human activities to stream flow changes in the Haraz River basin, northern Iran. Journal of Hydro-Environment Research, 25, 12–24. https://doi.org/10.1016/j.jher.2019.05.001
   Web of Science ®Google Scholar
• Pirnia, A., Golshan, M., Darabi, H., Adamowski, J., & Rozbeh, S. (2019). Using the Mann–Kendall test and double mass curve method to explore stream flow changes in response to climate and human activities. Journal of Water and Climate Change, 10(4), 725–742. https://doi.org/10.2166/wcc.2018.162
   Web of Science ®Google Scholar
• Potter, K. W. (1981). Illustration of a new test for detecting a shift in mean in precipitation series. Monthly Weather Review, 109(9), 2040–2045. https://doi.org/10.1175/1520-0493(1981)109<2040:IOANTF>2.0.CO;2
   Web of Science ®Google Scholar
• Schaubel, D. E., & Wei, G. (2011). Double inverse‐weighted estimation of cumulative treatment effects under nonproportional hazards and dependent censoring. Biometrics, 67(1), 29–38. https://doi.org/10.1111/j.1541-0420.2010.01449.x
   PubMed Web of Science ®Google Scholar
• Smith, H. G., & Dragovich, D. (2009). Interpreting sediment delivery processes using suspended sediment-discharge hysteresis patterns from nested upland catchments, south-eastern Australia. Hydrological Processes, 23(17), 2415–2426. https://doi.org/10.1002/hyp.7357
   Web of Science ®Google Scholar
• Sy, S., Madonna, F., Rosoldi, M., Tramutola, E., Gagliardi, S., Proto, M., & Pappalardo, G. (2021). Sensitivity of trends to estimation methods and quantification of subsampling effects in global radiosounding temperature and humidity time series. International Journal of Climatology, 41(S1), E1992–E2014. https://doi.org/10.1002/joc.6827
   Google Scholar
• Tsirkunov, V. V., Nikanorov, A. M., Laznik, M. M., & Dongwei, Z. (1992). Analysis of long-term and seasonal river water quality changes in Latvia. Water Research, 26(9), 1203–1216. https://doi.org/10.1016/0043-1354(92)90181–3
   Web of Science ®Google Scholar
• Weatherhead, E. C., Reinsel, G. C., Tiao, G. C., Meng, X. L., Choi, D., Cheang, W. K., Keller, T., DeLuisi, J., Wuebbles, D. J., Kerr, J. B., Miller, A. J., Oltmans, S. J., & Frederick, J. E. (1998). Factors affecting the detection of trends: Statistical considerations and applications to environmental data. Journal of Geophysical Research: Atmospheres, 103(D14), 17149–17161. https://doi.org/10.1029/98JD00995
   Web of Science ®Google Scholar
• Weiss, L. L., & Wilson, W. T. (1953). Evaluation of significance of slope changes in double‐mass curves. Eos, Transactions American Geophysical Union, 34(6), 893–896. https://doi.org/10.1029/TR034i006p00893
   Google Scholar
• Wei, X., & Zhang, M. (2010). Quantifying streamflow change caused by forest disturbance at a large spatial scale: A single watershed study. Water Resources Research, 46(12). https://doi.org/10.1029/2010WR009250
   PubMedGoogle Scholar
• Whelan, D. E. (1950). A method of evaluating the hydrologic effects of land use on large watersheds. Eos, Transactions American Geophysical Union, 31(2), 253–261. https://doi.org/10.1029/TR031i002p00253
   Google Scholar
• Zhang, P. P., Cai, Y. P., Wei, Y., Yi, Y. J., & Yang, Z. F. (2019). Climatic and anthropogenic impacts on water and sediment generation in the middle reach of the Jinsha River basin. River Research and Applications, 36(12), 1–13.
   Google Scholar
• Zhang, F., Shi, X., Zeng, C., Wang, L., Xiao, X., Wang, G., Chen, Y., Zhang, H., Lu, X., & Immerzeel, W. (2020). Recent stepwise sediment flux increase with climate change in the Tuotuo River in the central Tibetan Plateau. Science Bulletin, 65(5), 410–418. https://doi.org/10.1016/j.scib.2019.12.017
   PubMed Web of Science ®Google Scholar
• Zhang, Q., Xu, C. Y., Becker, S., & Jiang, T. (2006). Sediment and runoff changes in the Yangtze River basin during past 50 years. Journal of Hydrology, 331(3–4), 511–523. https://doi.org/10.1016/j.jhydrol.2006.05.036
   Web of Science ®Google Scholar
• Zhang, X. F., Yan, H. C., Yue, Y., & Xu, Q. X. (2019). Quantifying natural and anthropogenic impacts on runoff and sediment load: An investigation on the middle and lower reaches of the Jinsha River basin. Journal of Hydrology: Regional Studies, 25, 100617. https://doi.org/10.1016/j.ejrh.2019.100617
   Google Scholar
• Zhao, W. W., Fu, B. J., Chen, L. D., Zhang, Q. J., & Zhang, Y. H. (2004). Effects of land-use pattern change on rainfall-runoff and runoff-sediment relations: A case study in Zichang watershed of the Loess Plateau of China. Journal of Environmental Sciences, 16(3), 436–442.
   Web of Science ®Google Scholar
• Zhu, S. P., Liao, D., Liu, Q., Correia, J. A., & De Jesus, A. M. (2019). Nonlinear fatigue damage accumulation: Isodamage curve-based model and life prediction aspects. International Journal of Fatigue, 128, 105185. https://doi.org/10.1016/j.ijfatigue.2019.105185
   Web of Science ®Google Scholar