Abstract
The construction and operation of sluices and dams inevitably change the natural state of river hydrology and have an impact on river ecosystems. Therefore, simulating the hydrological processes of sluice-controlled rivers is of great significance to river water resource management and ecological restoration. The present study analyzed the complex characteristics of the water cycle of sluice-controlled rivers in the plains area of China including the extraction of the river network’s canal system. The treatment of sluice dams and the simulation of the base flow process of the soil and water assessment tool (SWAT) were improved. A distributed hydrological model of the sluice-controlled rivers in the plains area was constructed. Then, we applied the model to the Shaying River Basin, which has many sluices and dams. The Nash–Sutcliffe efficiency coefficient, percentage deviation, and determination coefficient were used to evaluate the model. The evaluation indices and simulation results of the three hydrological stations in the basin show that the improved SWAT model more accurately identifies the effects of the regulation and storage of the sluices and dams on runoff in the plains area and demonstrates that this model is suitable for simulating the hydrological processes of the sluice-controlled rivers in the plains area.
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References
Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333(2–4):413–430. https://doi.org/10.1016/j.jhydrol.2006.09.014
Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment-part I: model development. J Am Water Resour Assoc 34(1):73–89. https://doi.org/10.1111/j.1752-1688.1998.Tb05961.x
Arnold JG, Moriasi DN, Gassman PW, Abbaspour KC, White MJ, Srinivasan R, van Griensven A, Van Liew MW, Kannan N, Jha MK (2012) SWAT model use: calibration and validation. Trans ASABE 55(4):1491–1508. https://doi.org/10.13031/2013.42256
Bookhagen B, Burbank DW (2010) Toward a complete Himalayan hydrological budget: spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge. J Geophys Res Earth Surf 115:F03019. https://doi.org/10.1029/2009JF001426
Bouwer H (2000) Integrated water management: emerging issues and challenges. Agr Water Manag 45:217–228. https://doi.org/10.1016/S0378-3774(00)00092-5
Chen LG, Shi Y, Qian X, Luan ZY, Jin Q (2014) Hydrology, hydrodynamics, and water quality model for impounded rivers: I: theory. Adv Water Sci 25(4):534–541. https://doi.org/10.14042/j.cnki.32.1309.2014.04.016
Dhami B, Himanshu SK, Pandey A, Gautam AK (2018) Evaluation of the swat model for water balance study of a mountainous snowfed river basin of Nepal. Environ Earth Sci 77(1):21. https://doi.org/10.1007/s12665-017-7210-8
Dou M, Cao Y, Mi Q et al (2018) Multi-phase transformation model of water quality in the sluice-controlled river reaches of Shayinghe River in China. Environ Sci Pollut Res 25:6633–6647. https://doi.org/10.1007/s11356-017-0991-1
Gan R, Luo Y (2013) Using the nonlinear aquifer storage-discharge relationship to simulate the base flow of glacier- and snowmelt-dominated basins in northwest China. Hydrol Earth Syst Sci 17(9):3577–3586. https://doi.org/10.5194/hess-17-3577-2013
Gassman PW, Reyes MR, Green CH, Arnold JG (2007) The soil and water assessment tool: historical development, applications, and future research directions. Trans Asabe 50(4):1211–1250. https://doi.org/10.13031/2013.23637
Gierszewski PJ, Habel M, Szmańda J, Luc M (2020) Evaluating effects of dam operation on flow regimes and riverbed adaptation to those changes. Sci Total Environ 710:1–14. https://doi.org/10.1016/j.scitotenv.2019.136202
Jiang JJ, Du PF (2019) Improvement and application of SWAT model watershed delineation method in plain irrigation districts. J Tsinghua Univ (Sci Technol) 59(10):866–872. https://doi.org/10.16511/j.cnki.qhdxxb.2019.22.033 (in Chinese)
Lai Z, Li S, Deng Y et al (2018) Development of a polder module in the SWAT model: SWATpld for simulating polder areas in south-eastern China. Hydrol Process 32(8):1050–1062. https://doi.org/10.1002/hyp.11477
Li S, Lai ZQ, Wang Q, Wang ZH, Li CG, Song XB (2013) Dis-tributed simulation for hydrological process in plain river network region using SWAT model. Trans Chin Soc Agric Eng 29(6):106–112. https://doi.org/10.3969/j.issn.1002-6819.2013.06.014
Lin BQ, Chen XW, Yao HX (2020) Threshold of sub-watersheds for SWAT to simulate hillslope sediment generation and its spatial variations. Ecol Indic 111:106040. https://doi.org/10.1016/j.ecolind.2019.106040
Luo YX, Su BL, Zhang Q, Yang WZ (2013) Identifying and modeling confined hydrological process in plain polders. Resour Sci 35(3):594–600
Magilligan FJ, Nislow KH (2005) Changes in hydrologic regime by dams. Geomorphology 71(1–2):61–78. https://doi.org/10.1016/j.geomorph.2004.08.017
Mailhot A, Talbot G, Ricard S, Turcotte R, Guinard K (2018) Assessing the potential impacts of dam operation on daily flow at ungauged river reaches. J Hydrol Regional Studies 18:156–167. https://doi.org/10.1016/j.ejrh.2018.06.006
Mehta R, Jain SK (2009) Optimal operation of a multi-purpose reservoir using neuro-fuzzy technique. Water ResourManag 23(3):509–529. https://doi.org/10.1007/s11269-008-9286-0
Moriasi DN, Arnold JG, Van LMW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. T ASABE 50:885–900. https://doi.org/10.13031/2013.23153
Neitsch SL, Arnold JG, Kiniry JR, Williams JR, King KW (2002) Soil and water assessment tool theoretical documentation, version 2000. Texas Water Resources Institute, Texas A&M University, College Station
Pan F, Stieglitz M, Mckane RB (2012) An algorithm for treating flat areas and depressions in digital elevation models using linear interpolation[J]. Water Resour Res 48(6):229–235. https://doi.org/10.1029/2011WR010735
Pasha MFK, Yeasmin D, Rentch JW (2015) Dam-lake operation to optimize fish habitat. Environ Process 2(4):631–645. https://doi.org/10.1007/s40710-015-0106-2
Persendt FC, Gomez C (2016) Assessment of drainage network extractions in a low-relief area of the Cuvelai Basin (Namibia) from multiple sources: LiDAR, topographic maps, and digital aerial orthophotographs. Geomorphology. https://doi.org/10.1016/j.geomorph.2015.06.047
Poorheydari S, Ahmadi H, Moeini A, Feiznia S, Jafari M (2020) Efficiency of SWAT model for determining hydrological responses of marl formation. Int J Environ Sci Te. https://doi.org/10.1007/s13762-020-02688-y
Tharme RE (2003) A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for rivers. River Res Appl. https://doi.org/10.1002/rra.736
Schlager E (2005) Rivers for life: managing water for people and nature. Ecol Econ 55(2):306–307. https://doi.org/10.1016/j.ecolecon.2005.08.004
Schmalz B, Tavares F, Fohrer N (2008) Modelling hydrological processes in mesoscale lowland river basins with SWAT—capabilities and challenges. J Hydrol Sci 53(5):989–1000. https://doi.org/10.1623/hysj.53.5.989
Someya K (2018) Collaborative and adaptive dam operation for flood control. J Disaster Res 13(4):660–667. https://doi.org/10.20965/jdr.2018.p0660
Sukumaran H, Sahoo SN (2020) A Methodological framework for identification of baseline scenario and assessing the impact of DEM scenarios on SWAT model outputs. Water Resour Manag 34:4795–4814. https://doi.org/10.1007/s11269-020-02691-5
Sun SM, Fu CS, Zhang MH (2011) Delineating Sub-basins in flat plain areas using SWAT models. China Rural Water Hydropower 06:17–20
Wittenberg H (1999) Baseflow recession and recharge as nonlinear storage processes. Hydrol Processes 13:715–726. https://doi.org/10.1002/(SICI)1099-1085(19990415)13:5%3c715::AID-HYP775%3e3.0
Yin ZL, Xiao HL, Zou SB, Zhu R, Lu ZX, Lan YC, Shen YP (2014) Simulation of hydrological processes of mountainous watersheds in inland river basins: taking the Heihe mainstream river as an example. J Arid Land 6(1):16–26. https://doi.org/10.1007/s40333-013-0197-4
Zhai X, Xia J, Zhang Y (2017) Integrated approach of hydrological and water quality dynamic simulation for anthropogenic disturbance assessment in the Huai River Basin, China[J]. Sci Total Environ 598(15):749–764. https://doi.org/10.1016/j.scitotenv.2017.04.092
Zhang N, He HM, Zhang SF et al (2012a) Influence of Reservoir Operation in the Upper Reaches of the Yangtze River (China) on the Inflow and Outflow Regime of the TGR-based on the Improved SWAT Model. Water Resour Manage 26:691–705. https://doi.org/10.1007/s11269-011-9939-2
Zhang YY, Xia J, Shao QX, Zhang X (2012b) Experimental and simulation studies on the impact of sluice regulation on water quantity and quality processes. J Hydrol Eng 17(4):467–477. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000463
Zhao CS, Yang Y, Yang ST et al (2020) Effects of spatial variation in water quality and hydrological factors on environmental flows. Sci Total Environ 728:138695. https://doi.org/10.1016/j.scitotenv.2020.138695
Zuo QT, Liang SK (2016) Regulation model of ecological water demands by sluice-controlled rivers based on hydrological regime analysis. J Hydroelectr Eng 35(12):70–76. https://doi.org/10.11660/slfdxb.20161207
Funding
This study was funded by the National Natural Science Foundation of China (Grant Nos. 51509222 and 51709238), and the Joint Fund of State Key Lab of Hydroscience and Institute of Internet of Waters Tsinghua-Ningxia Yinchuan (Grant No. sklhse-2020-Iow11).
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All authors contributed to the original draft preparation. Methodology and model building: Rong Gan and Jie Tao; Data collection and analysis by Changzheng Chen and Yongqiang Shi; Writing—review and editing: Rong Gan, Changzheng Chen and Jie Tao; Supervision: Jie Tao. All authors read and approved final manuscript.
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Gan, R., Chen, C., Tao, J. et al. Hydrological Process Simulation of Sluice-Controlled Rivers in the Plains Area of China Based on an Improved SWAT Model. Water Resour Manage 35, 1817–1835 (2021). https://doi.org/10.1007/s11269-021-02814-6
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DOI: https://doi.org/10.1007/s11269-021-02814-6