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Periphyton removal flows determined by sediment entrainment thresholds

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  • Haddadchi, Arman
  • Kuczynski, Anika
  • Hoyle, Joanna T.
  • Kilroy, Cathy
  • Booker, Doug J.
  • Hicks, Murray

Abstract

Periphyton (benthic algae) forms the base of the lotic food web but, under particular conditions, can grow to nuisance levels. River managers need to understand under what conditions the rivers might develop nuisance periphyton biomass in order to set water quality and quantity limits and support healthy ecosystems. Factors that promote periphyton growth (e.g., light, temperature, nutrients) and the frequency of flows that remove periphyton (the periphyton removal flow) have long been recognized as primary controls on periphyton abundance. Predicting differences in periphyton removal flows (PRFs) between rivers has remained a challenge. The main objective of this study is to investigate how bed sediment mobility affects periphyton removal and whether it can be used to better predict PRFs at unmonitored sites with acceptable levels of certainty.

Suggested Citation

  • Haddadchi, Arman & Kuczynski, Anika & Hoyle, Joanna T. & Kilroy, Cathy & Booker, Doug J. & Hicks, Murray, 2020. "Periphyton removal flows determined by sediment entrainment thresholds," Ecological Modelling, Elsevier, vol. 434(C).
  • Handle: RePEc:eee:ecomod:v:434:y:2020:i:c:s0304380020303331
    DOI: 10.1016/j.ecolmodel.2020.109263
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    References listed on IDEAS

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    1. Fovet, O. & Belaud, G. & Litrico, X. & Charpentier, S. & Bertrand, C. & Dauta, A. & Hugodot, C., 2010. "Modelling periphyton in irrigation canals," Ecological Modelling, Elsevier, vol. 221(8), pages 1153-1161.
    2. Labiod, C. & Godillot, R. & Caussade, B., 2007. "The relationship between stream periphyton dynamics and near-bed turbulence in rough open-channel flow," Ecological Modelling, Elsevier, vol. 209(2), pages 78-96.
    3. Luce, James J. & Steele, Russell & Lapointe, Michel F., 2010. "A physically based statistical model of sand abrasion effects on periphyton biomass," Ecological Modelling, Elsevier, vol. 221(2), pages 353-361.
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    Cited by:

    1. Hidekazu Yoshioka & Kunihiko Hamagami & Haruka Tomobe, 2023. "A Non-local Fokker-Planck Equation with Application to Probabilistic Evaluation of Sediment Replenishment Projects," Methodology and Computing in Applied Probability, Springer, vol. 25(1), pages 1-37, March.
    2. Longfei Sun & Leixiang Wu & Xiaobo Liu & Wei Huang & Dayu Zhu & Zhuowei Wang & Ronghao Guan & Xingchen Liu, 2023. "Reducing the Risk of Benthic Algae Outbreaks by Regulating the Flow Velocity in a Simulated South–North Water Diversion Open Channel," IJERPH, MDPI, vol. 20(4), pages 1-15, February.

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    2. Fovet, O. & Belaud, G. & Litrico, X. & Charpentier, S. & Bertrand, C. & Dauta, A. & Hugodot, C., 2010. "Modelling periphyton in irrigation canals," Ecological Modelling, Elsevier, vol. 221(8), pages 1153-1161.
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