Case Studies
Aug 27, 2021

Ecohydrological Impacts of Two Large Cascade Reservoirs in the Middle Yellow River, China

Publication: Journal of Hydrologic Engineering
Volume 26, Issue 11

Abstract

The Yellow River is the second largest river in China, providing precious water resources to ecosystems in northern China. The Sanmenxia and Xiaolangdi are two large cascade reservoirs in the middle Yellow River that have significantly altered the regional ecohydrological conditions. Multiple methods, including the sequential Mann–Kendall test, range of variation approach, and ecoflows based on flow duration curves, were used to assess the ecohydrological impacts of the two reservoirs. Results indicated that (1) in detecing impact years by the sequential Mann-Kendall test, the minimum daily discharge of each year performed better than the maximum, mean, and median daily discharges of earch year; (2) the delay in the date of minimum flow caused by the Sanmenxia Reservoir and the advance in the date of maximum flow caused by the Xiaolangdi Reservoir had a serious effect on some native fish species; (3) the integrated hydrological changes caused by the Sanmenxia Reservoir and Xiaolangdi Reservoir were 30.91% and 51.39%, respectively; (4) the Sanmenxia Reservoir amplified the annual ecodeficit, whereas the Xiaolangdi Reservoir reversed the annual ecosurplus from a decreasing to an increasing trend and the annual ecodeficit from an increasing to decreasing trend; and (5) the autumn ecoflows experienced the greatest impact, with accompanying deterioration, although the Xiaolangdi Reservoir reduced the increasing rate of autumn ecodeficit and radically improved the previous unfavorable conditions in other seasons. The results shed new light on the ecohydrological impacts of large dams and are beneficial for the restoration of the aquatic ecosystems in the lower Yellow River.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

The daily discharges were graciously provided by the Yellow River Conservancy Commission, China (YRCC). The corresponding author can provide the data upon reasonable request.

Acknowledgments

This study was supported by the National Natural Science Foundation of China (Grant Nos. 51509099, 51609094, and 51879116). The authors thank the anonymous reviewers for their valuable and helpful comments.

References

Black, A. R., J. S. Rowan, R. W. Duck, O. M. Bragg, and B. E. Clelland. 2005. “DHRAM: A method for classifying river flow regime alterations for the EC Water Framework Directive.” Mar. Freshwater Ecosyst. 15 (5): 427–446. https://doi.org/10.1002/aqc.707.
Gao, B., D. Yang, T. Zhao, and H. Yang. 2012. “Changes in the eco-flow metrics of the Upper Yangtze River from 1961 to 2008.” J. Hydrol. 448–449 (Jul): 30–38. https://doi.org/10.1016/j.jhydrol.2012.03.045.
He, X. 2017. “Study on strategies of water resources adaptation to climate change in the Yellow River.” [In Chinese.] Yellow River 39 (8): 44–48. https://doi.org/10.3969/j.issn.1000-1379.2017.08.009.
Hui, J., et al. 2019. “Spawning ground status of fish that release benthic eggs in the Henan section of Yellow River.” [In Chinese.] J. Hydroecol. 40 (4): 108–114. https://doi.org/10.15928/j.1674-3075.2019.04.014.
Kendall, M. G. 1948. Rank correlation methods. London: Griffin.
Liu, C. M., and J. Xia. 2004. “Water problems and hydrological research in the Yellow River and the Huai and Hai River basins of China.” Hydrol. Processes 18 (12): 2197–2210. https://doi.org/10.1002/hyp.5524.
Liu, Q., Z. Yang, and B. Cui. 2008. “Spatial and temporal variability of annual precipitation during 1961–2006 in Yellow River Basin, China.” J. Hydrol. 361 (3–4): 330–338.
Lu, X., Y. Zhuang, X. Wang, and Q. Yang. 2018. “Assessment of streamflow change in middle-lower reaches of the Hanjiang River.” J. Hydrol. Eng. 23 (12): 05018024. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001727.
Mann, H. B. 1945. “Nonparametric tests against trend.” Econometrica J. Econ. Soc. 13 (3): 245–259. https://doi.org/10.2307/1907187.
Mann, H. B., and D. R. Whitney. 1947. “On a test of whether one of two random variables is stochastically larger than the other.” Ann. Math. Stat. 18 (1): 50–60. https://doi.org/10.1214/aoms/1177730491.
Nourani, V., A. D. Mehr, and N. Azad. 2018. “Trend analysis of hydroclimatological variables in Urmia lake basin using hybrid wavelet Mann-Kendall and Şen tests.” Environ. Earth Sci. 77 (5): 207. https://doi.org/10.1007/s12665-018-7390-x.
Revenga, C., J. Brunner, N. Henninger, K. Kassem, and R. Payne. 2000. Pilot analysis of global ecosystems: Freshwater ecosystems. Washington, DC: World Resources Institute.
Revenga, C., S. Murray, J. Abramowitz, and A. Hammond. 1998. Watersheds of the world: Ecological value and vulnerability. Washington, DC: World Resources Institute and Worldwatch Institute.
Richter, B. D., J. V. Baumgartner, J. Powell, and D. P. Braun. 1996. “A method for assessing hydrologic alteration within ecosystems.” Conserv. Biol. 10 (4): 1163–1174. https://doi.org/10.1046/j.1523-1739.1996.10041163.x.
Richter, B. D., J. V. Baumgartner, R. Wigington, and D. P. Braun. 1997. “How much water does a river need?” Freshwater Biol. 37 (1): 231–249. https://doi.org/10.1046/j.1365-2427.1997.00153.x.
Tian, S., M. Xu, E. Jiang, G. Wang, H. Hu, and X. Liu. 2019. “Temporal variations of runoff and sediment load in the upper Yellow River, China.” J. Hydrol. 568 (Jan): 46–56. https://doi.org/10.1016/j.jhydrol.2018.10.033.
Vogel, R. M., J. Sieber, S. A. Archfield, M. P. Smith, C. D. Apse, and A. Huber-Lee. 2007. “Relations among storage, yield, and instream flow.” Water Resour. Res. 43 (5): W05403. https://doi.org/10.1029/2006WR005226.
Wang, Y., D. Wang, Q. W. Lewis, J. Wu, and F. Huang. 2017. “A framework to assess the cumulative impacts of dams on hydrological regime: A case study of the Yangtze River.” Hydrol. Processes 31 (17): 3045–3055. https://doi.org/10.1002/hyp.11239.
Xia, X., J. Dong, M. Wang, H. Xie, N. Xia, H. Li, X. Zhang, X. Mou, J. Wen, and Y. Bao. 2016. “Effect of water-sediment regulation of the Xiaolangdi reservoir on the concentrations, characteristics, and fluxes of suspended sediment and organic carbon in the Yellow River.” Sci. Total Environ. 571 (Nov): 487–497. https://doi.org/10.1016/j.scitotenv.2016.07.015.
Yang, T., Q. Zhang, Y. D. Chen, X. Tao, C.-Y. Xu, and X. Chen. 2008. “A spatial assessment of hydrologic alteration caused by dam construction in the middle and lower Yellow River, China.” Hydrol. Processes 22 (18): 3829–3843. https://doi.org/10.1002/hyp.6993.
Yang, Z. F., Y. Yan, and Q. Liu. 2012. “Assessment of the flow regime alterations in the Lower Yellow River, China.” Ecol. Inf. 10 (Jul): 56–64. https://doi.org/10.1016/j.ecoinf.2011.10.002.
Yue, S., and C. Y. Wang. 2002. “The applicability of pre-whitening to eliminate the influence of serial correlation on the Mann-Kendall test.” Water Resour. Res. 38 (6): 1–7. https://doi.org/10.1029/2001WR000861.
Yue, S., and C. Y. Wang. 2004. “The Mann–Kendall test modified by effective sample size to detect trend in serially correlated hydrological series.” Water Resour. Manage. 18 (3): 201–218. https://doi.org/10.1023/B:WARM.0000043140.61082.60.
Zhan, C., S. Zeng, S. Jiang, H. Wang, and W. Ye. 2014. “An integrated approach for partitioning the effect of climate change and human activities on surface runoff.” Water Resour. Manage. 28 (11): 3843–3858. https://doi.org/10.1007/s11269-014-0713-0.
Zhang, Q., V. P. Singh, and J. Li. 2013. “Eco-hydrological requirements in arid and semiarid regions: Case study of the Yellow River in China.” J. Hydrol. Eng. 18 (6): 689–697. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000653.
Zhang, Q., Z. Zhang, P. Shi, V. P. Singh, and X. Gu. 2018. “Evaluation of ecological instream flow considering hydrological alterations in the Yellow River basin, China.” Global Planet. Change 160 (Jan): 61–74. https://doi.org/10.1016/j.gloplacha.2017.11.012.

Information & Authors

Information

Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 26Issue 11November 2021

History

Received: Aug 3, 2020
Accepted: Jun 30, 2021
Published online: Aug 27, 2021
Published in print: Nov 1, 2021
Discussion open until: Jan 27, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Senior Engineer, Key Research Institute of Yellow River Civilization and Sustainable Development, Henan Univ., 85 MingLun St., Kaifeng 475001, China (corresponding author). ORCID: https://orcid.org/0000-0002-1949-5248. Email: [email protected]
Professional Senior Engineer, Yellow River Institute of Hydraulic Research, 45 ShunHe Rd., Zhengzhou 450003, China. Email: [email protected]
Senior Engineer, Yellow River Institute of Hydraulic Research, 45 ShunHe Rd., Zhengzhou 450003, China. Email: [email protected]
Lecturer, Key Research Institute of Yellow River Civilization and Sustainable Development, Henan Univ., 85 MingLun St., Kaifeng 475001, China. Email: [email protected]
Teaching Assistant, School of Information Technology, Henan Univ. of Chinese Medicine, 156 JinshuiDong Rd., Zhengzhou 450046, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • Effects of cascading reservoirs on streamflow and sediment load with machine learning reconstructed time series in the upper Yellow River basin, CATENA, 10.1016/j.catena.2023.107008, 225, (107008), (2023).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share