Impact of Progressive Reservoir Construction on Nonstationary Sediment Load Response to Streamflow in the Upper Yangtze River, China
Publication: Journal of Hydrologic Engineering
Volume 29, Issue 2
Abstract
The progressive reservoir construction and operation have led to nonstationary sediment load response to water discharge and a new equilibrium between sediment supply and transport of a river system. However, an increase in the reservoir impoundments on the nonstationary behaviors could demonstrate significant temporal variability over the river system. In this study, the statistical relationships of annual sediment load with both streamflow and reservoir storage capacity during 1956–2018 are analyzed in the Upper Yangtze River Basin (UYRB), China. The trend and abrupt detection analyses show that the significant departure of annual sediment load to annual water discharge occurs only when the cumulative storage capacity over the course of progressive impoundments reaches a critical value for the cascade reservoirs in UYRB. The critical storage capacity gradually appeared in the 1980s, 1990s, and 2000s, accounting for the sharp increases of small- and medium-sized reservoirs in the tributaries and large-sized reservoirs in the mainstem. Once the critical storage is exceeded, the capacity to trap sediment increases exponentially with the cumulative storage. The significant increase of trapped sediment (e.g., 26%–88% of the free-flow capacity in the tributary and mainstem stations) has led to the shift of sediment-controlling factors from water discharge to the impounded runoff index. The significant reduction of sediment transportation and the altered dominant factors of sediment load could result in the steady erosion of channels and coastlines and adversely impact ecosystems in the downstream Yangtze River.
Practical Applications
Human activities, especially dam construction, have severely altered the global river system. Dams disrupt the continuity of the river, inevitably altering the natural transport of sediment and reducing sediment loads. Since the 19th century, a large number of reservoirs have been built in the upper reaches of the Yangtze River where water resources are abundant. When the cumulative storage capacity over the course of progressive impoundments reaches a critical value for the cascade reservoirs in the Upper Yangtze River, the capacity for trapping sediment increases exponentially with the cumulative storage. The significant increase in trapped sediment has led to a shift of sediment-controlling factors. The significant reduction of sediment transportation and the altered dominant factors of sediment load could lead to several environmental problems, such as the limited availability of nutrients in the middle and lower reaches, river bed erosion, and the destruction of benthic habitat. The change in the relationship between sediment, water discharge, and reservoir capacity can provide a reference for the environmental management and protection of the Yangtze River.
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Data Availability Statement
Most of the data used in the study were provided by the CWRC and the Changjiang Sediment Bulletins, including the water discharge and sediment load at the nine stations mentioned in the paper, as well as reservoir-related data. Direct requests for these materials must be made to the provider (http://data.cma.cn/en).
Acknowledgments
The work presented in this paper was supported by the National Natural Scientific Foundation of China (NSFC) (No. 42030506).
Author contributions: Yingchun Liang: data curation, investigation, methodology, and writing–original draft preparation. Xi Chen: conceptualization, formal analysis, writing–review and editing, and supervision. Jianzhi Dong: supervision and writing–review and editing. Jiarong Wang: data curation and validation.
References
Britannica, T. E. O. E. 2017. Law of nature. Scotland, UK: Encyclopedia Britannica.
Brune, G. M. 1953. “Trap efficiency of reservoirs.” Eos Trans. Am. Geophys. Union 34 (3): 407–418. https://doi.org/10.1029/TR034i003p00407.
Carpenter, S. R., E. H. Stanley, and M. J. Vander Zanden. 2011. “State of the world’s freshwater ecosystems: Physical, chemical, and biological changes.” Annu. Rev. Environ. Resour. 36 (1): 75–99. https://doi.org/10.1146/annurev-environ-021810-094524.
Cheng, L., S. Jueyi, H. Yun, and F. Hirshfield. 2013. “Changes in runoff and sediment load from major Chinese rivers to the Pacific Ocean over the period 1955–2010.” Int. J. Sediment Res. 28 (4): 523–534. https://doi.org/10.1016/S1001-6279(14)60010-X.
Dao-yi, G., Z. Jin-hong, and W. Shao-wu. 2001. “Flooding 1990s along the Yangtze River, has it concern of global warming?” J. Geogr. Sci. 11 (Jan): 43–52. https://doi.org/10.1007/BF02837375.
Fang, H., Q. Cai, H. Chen, and Q. Li. 2008. “Temporal changes in suspended sediment transport in a gullied loess basin: The Lower Chabagou Creek on the Loess Plateau in China.” Earth Surf. Processes Landforms 33 (13): 1977–1992. https://doi.org/10.1002/esp.1649.
Fang, H., Q. Li, Q. Cai, and Y. Liao. 2011. “Spatial scale dependence of sediment dynamics in a gullied rolling loess region on the Loess Plateau in China.” Environ. Earth Sci. 64 (Aug): 693–705. https://doi.org/10.1007/s12665-010-0889-4.
Grant, G. E., J. C. Schmidt, and S. L. Lewis. 2003. “A geological framework for interpreting downstream effects of dams on rivers.” Water Sci. Appl. 7 (8): 209–225. https://doi.org/10.1029/007WS13.
Guo, W., Y. Li, H. Wang, and H. Cha. 2020. “Temporal variations and influencing factors of river runoff and sediment regimes in the Yangtze River, China.” Desalin. Water Treat. 174 (Aug): 258–270. https://doi.org/10.5004/dwt.2020.24889.
Heidel, S. G. 1956. “The progressive lag of sediment concentration with flood waves.” Trans. Am. Geophys. Union 37 (1): 56. https://doi.org/10.1029/TR037i001p00056.
Huang, F., Z. Xia, F. Li, and T. Wu. 2013. “Assessing sediment regime alteration of the upper Yangtze River.” Environ. Earth Sci. 70 (5): 2349–2357. https://doi.org/10.1007/s12665-013-2381-4.
Jansson, M. B. 1996. “Estimating a sediment rating curve of the Reventazón river at Palomo using logged mean loads within discharge classes.” J. Hydrol. 183 (3–4): 227–241. https://doi.org/10.1016/0022-1694(95)02988-5.
Jiang, C., L. Zhang, and Z. Tang. 2017. “Multi-temporal scale changes of streamflow and sediment discharge in the headwaters of Yellow River and Yangtze River on the Tibetan Plateau, China.” Ecol. Eng. 102 (Jun): 240–254. https://doi.org/10.1016/j.ecoleng.2017.01.029.
Kendall, M. G., and J. D. Gibbons. 1990. Rank correlation methods. Oxford, UK: Oxford University Press.
Khaleghi, M. R., and J. Varvani. 2018. “Simulation of relationship between river discharge and sediment yield in the semi-arid river watersheds.” Acta Geophys. 66 (1): 109–119. https://doi.org/10.1007/s11600-018-0110-9.
Kondolf, G. M. 1997. “PROFILE: Hungry water: Effects of dams and gravel mining on river channels.” Environ. Manage. 21 (4): 533–551. https://doi.org/10.1007/s002679900048.
Kondolf, G. M., and R. J. Batalla. 2005. “Hydrological effects of dams and water diversions on rivers of Mediterranean-climate regions: Examples from California.” In Developments in earth surface processes, 197–211. Amsterdam, Netherlands: Elsevier. https://doi.org/10.1016/S0928-2025(05)80017-3.
Liu, S.-W., X.-F. Zhang, Q.-X. Xu, D.-C. Liu, J. Yuan, and M.-L. Wang. 2019. “Variation and driving factors of water discharge and sediment load in different regions of the Jinsha River Basin in China in the past 50 years.” Water 11 (5): 1109. https://doi.org/10.3390/w11051109.
Lu, X., and D. L. Higgitt. 1999. “Sediment yield variability in the Upper Yangtze, China.” Earth Surf. Processes Landforms 24 (12): 1077–1093. https://doi.org/10.1002/(SICI)1096-9837(199911)24:12%3C1077::AID-ESP36%3E3.0.CO;2-M.
Lu, X. X., P. Ashmore, and J. F. Wang. 2003. “Seasonal water discharge and sediment load changes in the Upper Yangtze, China.” Mt. Res. Dev. 23 (1): 56–64. https://doi.org/10.1659/0276-4741(2003)023[0056:SWDASL]2.0.CO;2.
Mallakpour, I., and G. Villarini. 2016. “A simulation study to examine the sensitivity of the Pettitt test to detect abrupt changes in mean.” Hydrol. Sci. J. 61 (2): 245–254. https://doi.org/10.1080/02626667.2015.1008482.
Mann, H. B. 1945. “Nonparametric tests against trend.” Econometrica 1945 (Jul): 245–259. https://doi.org/10.2307/1907187.
Milliman, J. D., and K. L. Farnsworth. 2013. River discharge to the coastal ocean: A global synthesis. Cambridge, MA: Cambridge University Press.
Pettitt, A. N. 1979. “A non-parametric approach to the change-point problem.” J. R. Stat. Soc. C 28 (2): 126–135. https://doi.org/10.2307/2346729.
Randle, T. J., G. L. Morris, D. D. Tullos, F. H. Weirich, G. M. Kondolf, D. N. Moriasi, G. W. Annandale, J. Fripp, J. T. Minear, and D. L. Wegner. 2021. “Sustaining United States reservoir storage capacity: Need for a new paradigm.” J. Hydrol. 602 (Nov): 126686. https://doi.org/10.1016/j.jhydrol.2021.126686.
Searcy, J. K., and C. H. Hardison. 1960. Double-mass curves. Washington, DC: US Government Printing Office.
Sen, P. K. 1968. “Estimates of the regression coefficient based on Kendall’s tau.” J. Am. Stat. Assoc. 63 (324): 1379–1389. https://doi.org/10.2307/2285891.
Siegfried, L. 2014. Sediment supply and flow in the Colorado River Basin. Davis, CA: Univ. of California, Davis.
Singer, M. B. 2007. “The influence of major dams on hydrology through the drainage network of the Sacramento River basin, California.” River Res. Appl. 23 (1): 55–72. https://doi.org/10.1002/rra.968.
Wang, H., Z. Yang, Y. Wang, Y. Saito, and J. P. Liu. 2008. “Reconstruction of sediment flux from the Changjiang (Yangtze River) to the sea since the 1860s.” J. Hydrol. 349 (3–4): 318–332. https://doi.org/10.1016/j.jhydrol.2007.11.005.
Wang, J., et al. 2022. “GeoDAR: Georeferenced global dams and reservoirs dataset for bridging attributes and geolocations.” Earth Syst. Sci. Data 14 (4): 1869–1899. https://doi.org/10.5194/essd-14-1869-2022.
Xie, H., D. Li, and L. Xiong. 2014. “Exploring the ability of the Pettitt method for detecting change point by Monte Carlo simulation.” Stochastic Environ. Res. Risk Assess. 28 (7): 1643–1655. https://doi.org/10.1007/s00477-013-0814-y.
Xiong, B., L. Xiong, J. Xia, C.-Y. Xu, C. Jiang, and T. Du. 2019. “Assessing the impacts of reservoirs on downstream flood frequency by coupling the effect of scheduling-related multivariate rainfall with an indicator of reservoir effects.” Hydrol. Earth Syst. Sci. 23 (11): 4453–4470. https://doi.org/10.5194/hess-23-4453-2019.
Xu, G., J. Zhang, P. Li, Z. Li, K. Lu, X. Wang, F. Wang, Y. Cheng, and B. Wang. 2018. “Vegetation restoration projects and their influence on runoff and sediment in China.” Ecol. Indic. 95 (Dec): 233–241. https://doi.org/10.1016/j.ecolind.2018.07.047.
Xu, K., J. D. Milliman, Z. Yang, and H. Wang. 2006. “Yangtze sediment decline partly from Three Gorges Dam.” Eos Trans. Am. Geophys. Union 87 (19): 185. https://doi.org/10.1029/2006eo190001.
Yan, H.-C., X.-F. Zhang, and Q.-X. Xu. 2022. “Unprecedented sedimentation in response to emerging cascade reservoirs in the upper Yangtze River Basin.” Catena 209 (Feb): 105833. https://doi.org/10.1016/j.catena.2021.105833.
Yang, S.-L., Q.-Y. Zhao, and I. M. Belkin. 2002. “Temporal variation in the sediment load of the Yangtze River and the influences of human activities.” J. Hydrol. 263 (1–4): 56–71. https://doi.org/10.1016/S0022-1694(02)00028-8.
Yang, Z., H. Wang, Y. Saito, J. D. Milliman, K. Xu, S. Qiao, and G. Shi. 2006. “Dam impacts on the Changjiang (Yangtze) River sediment discharge to the sea: The past 55 years and after the Three Gorges Dam.” Water Resour. Res. 42 (4): 2253–2264. https://doi.org/10.1029/2005wr003970.
Yue, S., and C. Y. Wang. 2002. “Applicability of prewhitening to eliminate the influence of serial correlation on the Mann-Kendall test.” Water Resour. Res. 38 (6): 1–4. https://doi.org/10.1029/2001WR000861.
Zhang, Q., C.-Y. Xu, S. Becker, and T. Jiang. 2006. “Sediment and runoff changes in the Yangtze River basin during past 50 years.” J. Hydrol. 331 (3–4): 511–523. https://doi.org/10.1016/j.jhydrol.2006.05.036.
Zhou, C., R. van Nooijen, A. Kolechkina, and N. van de Giesen. 2020. “Confidence curves for change points in hydrometeorological time series.” J. Hydrol. 590 (Nov): 125503. https://doi.org/10.1016/j.jhydrol.2020.125503.
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Received: May 3, 2023
Accepted: Sep 25, 2023
Published online: Jan 31, 2024
Published in print: Apr 1, 2024
Discussion open until: Jun 30, 2024
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