ORIGINAL ARTICLE
Impact of Maintenance Methods of an Overgrown Lowland River on its Hydraulic Conditions
1
Wrocław University of Environmental and Life Sciences
Online publication date: 2023-01-05
Publication date: 2022-12-01
Civil and Environmental Engineering Reports 2022;32(4):306-322
KEYWORDS
ABSTRACT
The paper presents the results of numerical analyses carried out in the IRIC environment on the Nays2DH hydrodynamic model regarding the impact of plants in the riverbed and watercourse maintenance on hydraulic conditions. The research material was collected for the actual input variant in October 2018 on the Ślęza River in Wrocław. The constructed and calibrated model was reconfigured on basis of the existing vegetation in three possible variants related to river maintenance: W0 variant - leaving the vegetation in the riverbed, W1 variant - removing all vegetation in the riverbed, variant W2 - removing vegetation in the 2.0 m strip from the right bank, W3 - removing of vegetation in a strip of 2.0 m from the bank, alternately on the right and left bank. Hydrological boundary conditions were flows from 0,32 to 5 [m3/s]. For four variants, the dependence of flows on the water table location, maximum and average velocities in the channel, and maximum and average shear stresses in the channel were analysed.
REFERENCES (26)
1.
1 Bal, K, et al. 2011. How do macrophyte distribution patterns affect hydraulic resistances? Ecological Engineering 37/3, 529-533.
2.
2 Errico, A et al. 2018. The effect of flexible vegetation on flow in drainage channels: Estimation of roughness coefficients at the real scale. Ecological Engineering 120, 411-421.
3.
3 Errico, A et al. 2019. Flow dynamics and turbulence patterns in a drainage channel colonized by common reed (Phragmites australis) under different scenarios of vegetation management. Ecological Engineering 133, 39-52.
4.
4 EU Flood Directive, Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks.
5.
5 EU Water Framework Directive (WFD), Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy.
6.
6 Hachoł, J and Krzemińska, A 2008. Wpływ regulacji rzeki Smortawy na przebieg procesów samooczyszczania na przykładzie wskaźników tlenowych [Influence of the regulation of the Smortawa river on the self-purification processes for oxygen indicators]. Infrastruktura i ekologia terenów wiejskich [Infrastructure and ecology of rural areas] 9/2008, 207-216.
7.
7 Han, L et al. 2018. Modeling streamwise velocity and boundary shear stress of vegetation-covered flow. Ecological Indicators 92, 379-387.
8.
8 Hopkinson, LC and Wynn-Thompson, TM 2016. Comparison of Direct and Indirect Boundary Shear Stress Measurements along Vegetated Streambanks, River Research and Applications 32/8, 1755-1764.
9.
9 IRIC Software. Changing River Science. Nays2DH Solver Manual 2011, Hokkaido, Japan.
10.
10 Jang, ChL and Shimizu, Y 2005. Numerical Simulation of Relatively Wide, Shallow Channels with Erodible Banks. Journal of Hydraulic Engineering 131/7.
11.
11 Jarosiewicz, A 2007. Proces samooczyszczania w ekosystemach rzecznych [Self-purification process in river ecosystems]. Słupskie Prace Biologiczne [Słupsk Biological Works] 4, 27-41.
12.
12 Kałuża, T et al. 2018. Plant basket hydraulic structures (PBHS) as a new river restoration measure. Science of The Total Environment 627, 245–255.
13.
13 Li, Wq et al. 2019. Effects of vegetation patch density on flow velocity characteristics in an open channel. Journal of Hydrodynamics 31. 1052-1059.
14.
14 Liu, D et al. 2017. Flow Hydrodynamics across Open Channel Flows with Riparian Zones: Implications for Riverbank Stability. Water. 9, 720.
15.
15 Maturi, F and Askar, MB 2019. Experimental Study of the Effects of Flow Discharge, Diameter, and Depth on Shear Stress in a Rectangular Channel with Rigid Unsubmerged Vegetation. Journal of Applied Engineering Sciences 9(2), 155-160.
16.
16 Munar-Martinez, M et al 2019. Laboratory Investigation on Bed-shear Stress Partitioning in Vegetated Flows. Proceedings of the 38th IAHR World Congress (Panama, 2019).
17.
17 Nepf, H and Ghisalberti, M 2008. Flow and transport in channels with submerged vegetation. Acta Geophysica 56, 753–777.
18.
18 Peters, B et al. 2021. The Smart Rivers approach: Spatial quality in flood protection and floodplain restoration projects based on river DNA. WIREs Water 8:e1511 [DOI:10.1002/wat2.1511].
19.
19 Radspinner, RR et al. 2010. River training and ecological enhancement potential using in-stream structures. Journal of Hydraulic Engineering 136, 967–980.
20.
20 Rodríguez-Gonzales, PM et al. 2022. Bringing the margin to the focus: 10 challenges for riparian vegetation science and management. WIREs Water 2022;e1604. [https://doi.org/10.1002/wat2.1...].
21.
21 Rowiński, PM, Okruszko, T and Radecki-Pawlik, A 2022. Environmental hydraulics research for river health: recent advances and challenges. Ecohydrology & Hydrobiology 22/2, 213-225.
22.
22 Sabokrouhiyeh, N et al. 2020. Variation in contaminant removal efficiency in free-water surface wetlands with heterogeneous vegetation density. Ecological Engineering 143, 105662.
23.
23 Szałkiewicz, E et al. 2019. Analysis of in-stream restoration structures impact on hydraulic condition and sedimentation in the Flinta river. Carpathian Journal of Earth and Environmental Sciences 14/2, 275 – 286.
24.
24 Vargas-Luna, A et al. 2015 Effects of vegetation on flow and sediment transport: comparative analyses and validation of predicting models. Earth Surface Processes and Landforms 40/2, 157-176.
25.
25 Wolski, K and Tymiński, T 2020. Studies on the threshold density of Phragmites australis plant concentration as a factor of hydraulic interactions in the riverbed, Ecological Engineering 151, 105822.
26.
26 Wolski, K 2019. Seasonal changes in hydraulic flow conditions in overgrown lowland river. E3S Web Conference 100, 00087.
| eISSN: | 2450-8594 |
| ISSN: | 2080-5187 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
