Floodplain flow resistance in case of a sparse mixture of plants at low relative submergences

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Vegetation affects flow hydrodynamics and transport processes across various spatial scales and is increasingly put forward as a powerful tool for nature-based solutions (NBS) in river management. Complex mixtures of different plant types at a wide range of densities are common on real floodplains, but such conditions are rarely properly reproduced in experimental investigations. This paper reports on the first results of an ongoing study, with a view on flow resistance associated with low relative submergences (H/hv = 1-2) and low vegetation densities (LAI = 0.12-0.58). Such experimental investigations are challenging due to the necessity of a high-accuracy sensor system suited for the bulk scale. A mixture of artificial elements was selected to mimic the behaviour of natural floodplain shrubs and herbaceous vegetation in a laboratory flume. Results suggested that also at very low LAI values the vegetative resistance increased linearly with LAI. An increase of H/hv from 1 to 2 caused a 25% to 50% reduction in the friction factor for very low to intermediate LAI, respectively.
Original languageEnglish
Title of host publicationRiver Flow 2020 : Proceedings of the 10th Conference on Fluvial Hydraulics (Delft, Netherlands, 7-10 July 2020)
EditorsWim Uijttewaal, Mário J. Franca, Daniel Valero, Victor Chavarrias, Clàudia Ylla Arbós, Ralph Schielen, Alessandra Crosato
Place of PublicationLondon
Number of pages9
ISBN (Electronic)9781003110958
Publication statusPublished - 27 Aug 2020
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Fluvial Hydraulics - Delft, Netherlands
Duration: 7 Jul 202010 Jul 2020
Conference number: 10


ConferenceInternational Conference on Fluvial Hydraulics
Abbreviated titleRiver Flow


  • floodplain vegetation
  • vegetative flow resistance
  • nature-based solutions

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