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Evaluation of Flow Resistance Coefficient based on Physical Properties of Vegetation in Floodplains and Numerical Simulation of the Changes in Flow Characteristics

홍수터 식생의 물리적 특성을 고려한 흐름저항계수 산정 및 흐름특성 변화 모의

  • Ji, Un (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Jang, Eun-kyung (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Ahn, Myeonghui (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Bae, Inhyeok (Department of Civil and Environmental Engineering, University of Science and Technology)
  • 지운 (한국건설기술연구원 수자원하천연구본부) ;
  • 장은경 (한국건설기술연구원 수자원하천연구본부) ;
  • 안명희 (한국건설기술연구원 수자원하천연구본부) ;
  • 배인혁 (과학기술연합대학원대학교 건설환경공학)
  • Received : 2021.11.17
  • Accepted : 2021.12.01
  • Published : 2021.12.31

Abstract

In this study, the flow resistance coefficient was calculated considering the physical properties and distribution characteristics of floodplain vegetation, and the effect of floodplain vegetation distribution on flow characteristics was analyzed by reflecting it in a two-dimensional numerical simulation. The three-dimensional point clouds of vegetation acquired using ground lidar were analyzed to apply floodplain vegetation's physical properties to the existing formula for vegetation flow resistance calculation. The floodplain vegetation distribution in the modeling was divided into locally distributed and fully distributed conditions in the floodplain. As a result of the simulation of the study site, the flow resistance coefficient of floodplain vegetation was found to have a value of about five times or more compared to the flow resistance coefficient of the main channel bed when the design flood occurs based on Manning's n coefficient. Also, it affected the hydraulic characteristics in the main channel and floodplain.

본 연구에서는 홍수터 식생의 물리적 특성과 분포 특성을 고려하여 흐름저항계수를 산정하고 이를 2차원 수치모의에 반영하여 홍수터 식생분포가 흐름특성에 미치는 영향을 분석하였다. 홍수터 식생의 물리적 특성을 기존의 식생 흐름저항산정 공식에 적용하기 위해 지상라이다를 이용한 식생의 3차원 포인트 클라우드 분석을 수행하였으며, 홍수터 식생분포는 국부적으로 식생이 존재하는 경우와 홍수터 전체에 식생이 분포하는 경우로 구분하여 모의를 수행하였다. 대상구간의 모의결과, 홍수터 식생의 흐름저항계수는 매닝의 조도계수를 기준으로 계획홍수량이 발생할 경우 주하도 하상 조도계수에 비해 약 5배 이상의 값을 갖는 것으로 나타났으며, 이는 주하도와 홍수터의 수리특성 변화에도 영향을 미치는 것으로 나타났다.

Keywords

Acknowledgement

본 연구는 금강수계관리위원회 환경기초조사사업의 지원을 받아 수행되었습니다.

References

  1. Albayrak, I., Nikora, V., Miler, O. and O'Hare, M.T. 2014. Flow-plant interactions at leaf, stem and shoot scales: drag, turbulence, and biomechanics. Aquatic sciences 76(2): 269-294. https://doi.org/10.1007/s00027-013-0335-2
  2. Arcement, G.J. and Schneider, V.R. 1989. Guide for selecting Manning's roughness coefficients for natural channels and flood plains. Denver: USGS.
  3. Armanini, A., Righetti, M. and Grisenti, P. 2005. Direct measurement of vegetation resistance in prototype scale. Journal of Hydraulic Research 43(5): 481-487. https://doi.org/10.1080/00221680509500146
  4. Augustijn, D.C., Huthoff, F. and van Velzen, E.H. 2008. Comparison of vegetation roughness descriptions. Altinakar, MS, Kokpinar, MA, Aydin, I., Cokgor, S. Kirkgoz, S.(eds.) River Flow, 2008, 343-350.
  5. Baptist, M.J. 2005. Modelling floodplain biogeomorphology. PhD thesis, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Section Hydraulic Engineering, Delft.
  6. Bennett, S.J., Wu, W., Alonso, C.V. and Wang, S.S. 2008. Modeling fluvial response to in-stream woody vegetation: implications for stream corridor restoration. Earth Surface Processes and Landforms: The Journal of the British Geomorphological Research Group 33(6): 890-909. https://doi.org/10.1002/esp.1581
  7. Biggs, H.J., Nikora, V.I., Gibbins, C.N., Cameron, S.M., Papadopoulos, K., Stewart, M., Fraser, S., Vettori, D., Savio, M., O'Hare, M.T., Kucher, M. and Hicks, D.M. 2019. Flow interactions with an aquatic macrophyte: a field study using stereoscopic particle image velocimetry. Journal of Ecohydraulics 4(2): 113-130. https://doi.org/10.1080/24705357.2019.1606677
  8. Chow, V.T. 1959. Open Channel Hydarulics. McGraw Hill, New York, NY.
  9. De Doncker, L., Troch, P., Verhoeven, R., Bal, K., Meire, P. and Quintelier, J. 2009. Determination of the Manning roughness coefficient influenced by vegetation in the river Aa and Biebrza river. Environmental fluid mechanics 9(5): 549-567. https://doi.org/10.1007/s10652-009-9149-0
  10. EC (European Commission). 2011. Biodiversity strategy https://ec.europa.eu/environment/nature/biodiversity/strategy/ Accessed 19 December 2019.
  11. EC (European Commission). 2013. Building a green infrastructure for Europe. Catalog.
  12. Green, J. C. 2005. Comparison of blockage factors in modelling the resistance of channels containing submerged macrophytes. River research and applications 21(6): 671-686. https://doi.org/10.1002/rra.854
  13. Jarvela, J. 2002a. Flow resistance of flexible and stiff vegetation: a flume study with natural plants. Journal of hydrology 269(1-2): 44-54. https://doi.org/10.1016/S0022-1694(02)00193-2
  14. Jarvela, J. 2002b. Determination of flow resistance of vegetated channel banks and floodplains. In River flow 2002, 311-318.
  15. Jarvela, J. 2004. Determination of flow resistance caused by non-submerged woody vegetation. International Journal of River Basin Management 2(1): 61-70. https://doi.org/10.1080/15715124.2004.9635222
  16. Jia, Y. and Wang, S.S.Y. 2001. CCHE2D: Two-dimensional Hydrodynamic and Sediment Transport Model for Unsteady Open Channel Flows Over Loose Bed. NCCHE-TR-2001-1, School of Engineering, The University of Mississippi.
  17. Jordanova, A.A. and James, C.S. 2003. Experimental study of bed load transport through emergent vegetation. Journal of Hydraulic Engineering 129(6): 474-478. https://doi.org/10.1061/(asce)0733-9429(2003)129:6(474)
  18. MOE (Ministry of the Environment). 2016. Ecosystem-based disaster risk reduction in Japan. A handbook for The Government of Japan.
  19. Nepf, H.M. 1999. Drag, turbulence, and diffusion in flow through emergent vegetation. Water Resources Research 35(2): 479-489. https://doi.org/10.1029/1998WR900069
  20. Nikora, V., Larned, S., Nikora, N., Debnath, K., Cooper, G. and Reid, M. 2008. Hydraulic resistance due to aquatic vegetation in small streams: field study. Journal of hydraulic engineering 134(9): 1326-1332. https://doi.org/10.1061/(asce)0733-9429(2008)134:9(1326)
  21. Shucksmith, J.D., Boxall, J.B. and Guymer, I. 2011. Bulk flow resistance in vegetated channels: Analysis of momentum balance approaches based on data obtained in aging live vegetation. Journal of Hydraulic Engineering 137(12): 1624-1635. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000457
  22. Stone, M.C., Chen, L., Kyle McKay, S., Goreham, J., Acharya, K., Fischenich, C. and Stone, A.B. 2013. Bending of submerged woody riparian vegetation as a function of hydraulic flow conditions. River Research and Applications 29(2): 195-205. https://doi.org/10.1002/rra.1592
  23. Stone, B.M. and Shen, H.T. 2002. Hydraulic resistance of flow in channels with cylindrical roughness. Journal of hydraulic engineering 128(5): 500-506. https://doi.org/10.1061/(asce)0733-9429(2002)128:5(500)
  24. Tanino, Y. and Nepf, H.M. 2008. Laboratory investigation of mean drag in a random array of rigid, emergent cylinders. Journal of Hydraulic Engineering 134(1): 34-41. https://doi.org/10.1061/(asce)0733-9429(2008)134:1(34)
  25. van Alphen, S. 2020. Room for the river: innovation, or tradition? The case of the Noordwaard. Adaptive strategies for water heritage, 309.
  26. Wang, J. and Zhang, Z. 2019. Evaluating riparian vegetation roughness computation methods integrated within HEC-RAS. Journal of Hydraulic Engineering 145(6): 04019020. https://doi.org/10.1061/(asce)hy.1943-7900.0001597
  27. Whittaker, P., Wilson, C.A. and Aberle, J. 2015. An improved Cauchy number approach for predicting the drag and reconfiguration of flexible vegetation. Advances in water resources 83: 28-35. https://doi.org/10.1016/j.advwatres.2015.05.005
  28. Woo, H. and Han, S. 2020. Typological System of Nature-based Solutions and Its Similar Concepts on Water Management. Ecology and Resilient Infrastructure 7(1): 15-25. https://doi.org/10.17820/eri.2020.7.1.015