Journal Home Online First Current Issue Archive For Authors Journal Information 中文版

Engineering >> 2023, Volume 24, Issue 5 doi: 10.1016/j.eng.2022.01.015

Theory and Practice of Hydrodynamic Reconstruction in Plain River Networks

a State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China
b Yangtze Institute for Conservation and Green Development, Nanjing, 210098, China

Received: 2021-05-11 Revised: 2021-12-17 Accepted: 2022-01-05 Available online: 2022-06-17

Next Previous

Abstract

The river networks in the plains of China are in low-lying terrain with mild bed slopes and weak hydrodynamics conditions. Filled with intense human activities, these areas are characterized by serious water security problems, e.g., frequent floods, poor water self-purification capabilities, and fragile water ecosystems. In this paper, it’s found that all these problems are related to hydrodynamics, and the spatiotemporal imbalance of river network hydrodynamics is identified as the common cause of these water-related problems. From this, a theory for the hydrodynamic reconstruction of plain river networks is proposed. In addition to the importance of the flow volume, this theory highlights the role of hydrodynamics and limited energy in improving the ecological water environment. The layout of water conservancy project systems (e.g., sluices and pumping stations) is optimized to fully tapping the potential integrative benefit of projects. The optimal temporal and spatial distributions of hydrodynamic patterns is reconstructed in order to meet the needs of the integrated management of complex water-related problems in river networks. On this basis, a complete theoretical method and technical system for multiscale hydrodynamic reconstruction and multi-objective hydraulic regulation in plain river networks with weak hydrodynamics is established. The principles of the integrated management of water problems in river network areas are put forward. The practical application and efficacy of the theory are demonstrated through a case study aiming to improve the water quality of the river network in the main urban area of Yangzhou City.

Figures

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

References

[ 1 ] Liu C, Walling DE, He Y. Review: The International Sediment Initiative case studies of sediment problems in river basins and their management. Int J Sediment Res 2018;33(2):216‒9. link1

[ 2 ] Blum MD, Roberts HH. Drowning of the Mississippi Delta due to insufficient sediment supply and global sea-level rise. Nat Geosci 2009;2(7):488‒91. link1

[ 3 ] Baptist MJ, Penning WE, Duel H, Smits AJM, Geerling GW, Van der Lee GEM, et al. Assessment of the effects of cyclic floodplain rejuvenation on flood levels and biodiversity along the Rhine River. River Res Appl 2004;20(3):285‒97. link1

[ 4 ] Giakoumis T, Voulvoulis N. The transition of EU water policy towards the Water Framework Directive’s integrated river basin management paradigm. Environ Manage 2018;62(5):819‒31. link1

[ 5 ] Song X, Ravesteijn W, Frostell B, Wennersten R. Managing water resources for sustainable development: the case of integrated river basin management in China. Water Sci Technol 2010;61(2):499‒506. link1

[ 6 ] Ruan R. Theory and practice of improving water quality by water resources diversion in plain river-net areas. Beijing: China Water & Power Press; 2006. Chinese.

[ 7 ] Tan P. The study on real-time optimization of water diversion project scheme on lowland river based on the variation of dissolved oxygen [dissertation]. Hangzhou: Zhejiang University; 2020. Chinese.

[ 8 ] Wang Y. Study on the impact factors of the urban river water quality [dissertation]. Suzhou: Suzhou University of Science and Technology; 2013. Chinese.

[ 9 ] Yi Y, Wang Z, Lu Y. Habitat suitability index model for Chinese Sturgeon in the Yangtze River. Adv Water Sci 2007;18(4):538‒43. Chinese.

[10] Zhong J, Zhang Q, Li X, Kang B. Effects of water velocity on the swimming behavior of Anabarilius grahami. Chin J Ecol 2013;32(3):655‒60. Chinese.

[11] Shi X, Xu J, Huang Z, Katopodis C, Ban X, Kynard B, et al. A computer-based vision method to automatically determine the 2-dimensional flow-field preference of fish. J Hydraul Res 2019;57(4):598‒602. link1

[12] Chen Y, Liao W, Peng Q, Chen D, Gao Y. A summary of hydrology and hydrodynamics conditions of four Chinese carp’s spawning. J Hydroecol 2009;2(2):130‒3. Chinese.

[13] Liao P, Hu X. Experimental study on the effect of flow velocity on algal growth. Beijing Water Res 2005;2:12‒4. Chinese.

[14] Arega F, Lee JHW, Tang H. Hydraulic jet control for river junction design of Yuen Long Bypass Floodway, Hong Kong. J Hydraul Eng 2008;134(1):23‒33. link1

[15] Tang H, Li F, Xiao Y, Xu X, Wang Z, Zhou C. Experimental study on effect of scour prevention and sedimentation promotion of bank protection of tetrahedron penetrating frame groups. Port Waterw Eng 2002; 34(9):25‒8. Chinese.

[16] Tang H, Lv S, Zhou Y, Xu X, Xiao Y. Water environment improvements in Zhenjiang City, China. P I Civil Eng Munic 2008;161(1):11‒6. link1

[17] Wang Y, Shen Z, Niu J, Liu R. Adsorption of phosphorus on sediments from the Three-Gorges Reservoir (China) and the relation with sediment compositions. J Hazard Mater 2009;162(1):92‒8. link1

[18] Dieter D, Herzog C, Hupfer M. Effects of drying on phosphorus uptake in re-flooded lake sediments. Environ Sci Pollut Res Int 2015;22(21):17065‒81. link1

[19] Zhu H, Zhang K, Zhong B, Wang D. Effects of particles and pore water in release of pollutants due to sediment resuspension. Chin J Hydrodynam 2011;26(5):631‒41. Chinese.

[20] Zhou X, Huang T, Tang Y. Effect of flow turbulence on release of heavy metals in rivers. J Hydraul Eng 1994;11:22‒5. Chinese.

[21] Marion A, Zaramella M. Diffusive behavior of bedform-induced hyporheic exchange in rivers. J Environ Eng 2005;131(9):1260‒6. link1

[22] Marion A, Bellinello M, Guymer I, Packman A. Effect of bed form geometry on the penetration of nonreactive solutes into a streambed. Water Resour Res 2002;38(10):27-1-27-12. link1

[23] Lee A, Aubeneau AF, Cardenas MB. The sensitivity of hyporheic exchange to fractal properties of riverbeds. Water Resour Res 2020;56(5): e2019WR026560. link1

[24] Jin G, Tang H, Li L, Barry DA. Prolonged river water pollution due to variable-density flow and solute transport in the riverbed. Water Resour Res 2015;51(4):1898‒915. link1

[25] Yi Q, Chen Q, Hu L, Shi W. Tracking nitrogen sources, transformation, and transport at a basin scale with complex plain river networks. Environ Sci Technol 2017;51(10):5396‒403. link1

[26] Chien N, Zhang R, Zhou Z. River fluvial mechanics. Beijing: Science Press; 1987. Chinese.

[27] Yuan S, Tang H, Li K, Xu L, Xiao Y, Gualtieri C, et al. Hydrodynamics, sediment transport and morphological features at the confluence between the Yangtze River and the Poyang Lake. Water Resour Res 2021;57(3):e2020WR028284. link1

[28] Wang N, Zhang C, Xiao Y, Jin G, Li L. Transverse hyporheic flow in the cross-section of a compound river system. Adv Water Resour 2018; 122:263‒77. link1

[29] Nepf HM. Hydrodynamics of vegetated channels. J Hydraul Res 2012;50(3):262‒79. link1

[30] Poggi D, Porporato A, Ridolfi L, Albertson JD, Katul GG. The effect of vegetation density on canopy sub-layer turbulence. Bound-Lay Meteorol 2004;111(3):565‒87. link1

[31] Ghisalberti M, Nepf HM. Mixing layers and coherent structures in vegetated aquatic flows. J Geophys Res-Oceans 2002;107(C2):3-1-3-11. link1

[32] Nepf HM, Ghisalberti M. Flow and transport in channels with submerged vegetation. Acta Geophys 2008;56(3):753‒77. link1

[33] Devi TB, Kumar B. Turbulent flow statistics of vegetative channel with seepage. J Appl Geophys 2015;123:267‒76. link1

[34] Caroppi G, Västilä K, Gualtieri P, Järvelä J, Giugni M, Rowin´ ski PM. Comparison of flexible and rigid vegetation induced shear layers in partly vegetated channels. Water Resour Res 2021;57(3):e2020WR028243. link1

[35] Einstein HA, Barbarossa NL. River channel roughness. Trans Am Soc Civ Eng 1952;117(1):1121‒32. link1

[36] Maddux TB, Nelson JM, McLean SR. Turbulent flow over three-dimensional dunes: 1. free surface and flow response. J Geophys Res Earth Surf 2003;108(F1):6009. link1

[37] Colombini M, Stocchino A. Ripple and dune formation in rivers. J Fluid Mech 2011;673:121‒31. link1

[38] Raudkivi AJ. Transition from ripples to dunes. J Hydraul Eng 2006;132(12):1316‒20. link1

[39] Chien N, Wan Z. Mechanics of sediment transport. Reston: American Society of Civil Engineers; 1999. link1

[40] Tang L, Wang X. Experimental study on three dimensional movements of particles I effects of particle diameter on velocity and concentration distributions. Int J Sediment Res 2009;24(2):159‒68. link1

[41] Tang L, Wang X. Experimental study on three dimensional movements of particles II effects of particle diameter on turbulence characteristics. Int J Sediment Res 2009;24(2):169‒76. link1

[42] Tsai CW. Flood routing in mild-sloped rivers—wave characteristics and downstream backwater effect. J Hydrol 2005;308(1‒4):151‒67.

[43] Wang C, Li G. The modelling of basin flood. J Hydraul Eng 1996;27(3):44‒50. Chinese.

[44] Huang Z, Ma X, Wang L, Zhang Y, Cheng G, Hu Z. Application of a nested grid hydrodynamic model to discharge pattern simulation overhaul conditions of Sanhe sluice. J Hohai Uni Nat Sci 2012;6:653‒8. Chinese.

[45] Ghalkhani H, Golian S, Saghafian B, Farokhnia A, Shamseldin A. Application of surrogate artificial intelligent models for real-time flood routing. Water Environ J 2013;27(4):535‒48. link1

[46] Chen X, Chau K, Wang W. A novel hybrid neural network based on continuity equation and fuzzy pattern-recognition for downstream daily river discharge forecasting. J Hydroinform 2015;17(5):733‒44. link1

[47] Tang H, Xin X, Dai W, Xiao Y. Parameter identification for modeling river network using a genetic algorithm. J Hydrodynam 2010;22(2): 246‒53. link1

[48] Shokri A, Haddad OB, Mariño MA. Multi-objective quantity‒quality reservoir operation in sudden pollution. Water Resour Manage 2014;28(2): 567‒86. link1

[49] Skardi MJE, Afshar A, Saadatpour M, Solis SS. Hybrid ACO‒ANN-based multi-objective simulation‒optimization model for pollutant load control at basin scale. Environ Model Assess 2015;20(1):29‒39. link1

Related Research