---
_id: '12222'
abstract:
- lang: eng
  text: "Background\r\nAggregations of cyanobacteria in lakes and reservoirs are commonly
    associated with surface blooms, but may also occur in the metalimnion as subsurface
    or deep chlorophyll maxima. Metalimnetic cyanobacteria blooms are of great concern
    when potentially toxic species, such as Planktothrix rubescens, are involved.
    Metalimnetic blooms of P. rubescens have apparently increased in frequency and
    severity in recent years, so there is a strong need to identify reservoir management
    options to control it. We hypothesized that P. rubescens blooms in reservoirs
    can be suppressed using selective withdrawal to maximize its export from the reservoir.
    We also expect that altering the light climate can affect the dynamics of this
    species. We tested our hypothesis in Rappbode Reservoir (the largest drinking
    water reservoir in Germany) by establishing a series of withdrawal and light scenarios
    based on a calibrated water quality model (CE-QUAL-W2).\r\nResults\r\nThe novel
    withdrawal strategy, in which water is withdrawn from a certain depth below the
    surface within the metalimnion instead of at a fixed elevation relative to the
    dam wall, significantly reduced P. rubescens biomass in the reservoir. According
    to the simulation results, we defined an optimal withdrawal volume to control
    P. rubescens blooms in the reservoir as approximately 10 million m3 (10% of the
    reservoir volume) during its bloom phase. The results also illustrated that P.
    rubescens growth can be most effectively suppressed if the metalimnetic withdrawal
    is applied in the early stage of its rapid growth, i.e., before the bloom occurs.
    In addition, our study showed that P. rubescens biomass gradually decreased with
    increasing light extinction and nearly disappeared when the extinction coefficient
    exceeded 0.55 m−1.\r\nConclusions\r\nOur study indicates the rise in P. rubescens
    biomass can be effectively offset by selective withdrawal as well as by reducing
    light intensity beneath the water surface. Considering the widespread occurrence
    of P. rubescens in stratified lakes and reservoirs worldwide, we believe the results
    will be helpful for scientists and managers working on other water bodies to minimize
    the negative impacts of this harmful cyanobacteria. Our model may serve as a transferable
    tool to explore local dynamics in other standing waters."
article_number: '102'
author:
- first_name: Chenxi
  full_name: Mi, Chenxi
  last_name: Mi
- first_name: David P.
  full_name: Hamilton, David P.
  last_name: Hamilton
- first_name: Marieke A.
  full_name: Frassl, Marieke A.
  last_name: Frassl
- first_name: Tom
  full_name: Shatwell, Tom
  id: '86424'
  last_name: Shatwell
  orcid: 0000-0002-4520-7916
- first_name: Xiangzhen
  full_name: Kong, Xiangzhen
  last_name: Kong
- first_name: Bertram
  full_name: Boehrer, Bertram
  last_name: Boehrer
- first_name: Yiping
  full_name: Li, Yiping
  last_name: Li
- first_name: Jan
  full_name: Donner, Jan
  last_name: Donner
- first_name: Karsten
  full_name: Rinke, Karsten
  last_name: Rinke
citation:
  ama: 'Mi C, Hamilton DP, Frassl MA, et al. Controlling blooms of Planktothrix rubescens
    by optimized metalimnetic water withdrawal: a modelling study on adaptive reservoir
    operation. <i>Environmental Sciences Europe</i>. 2022;34(1). doi:<a href="https://doi.org/10.1186/s12302-022-00683-3">10.1186/s12302-022-00683-3</a>'
  apa: 'Mi, C., Hamilton, D. P., Frassl, M. A., Shatwell, T., Kong, X., Boehrer, B.,
    Li, Y., Donner, J., &#38; Rinke, K. (2022). Controlling blooms of Planktothrix
    rubescens by optimized metalimnetic water withdrawal: a modelling study on adaptive
    reservoir operation. <i>Environmental Sciences Europe</i>, <i>34</i>(1), Article
    102. <a href="https://doi.org/10.1186/s12302-022-00683-3">https://doi.org/10.1186/s12302-022-00683-3</a>'
  bjps: '<b>Mi C <i>et al.</i></b> (2022) Controlling Blooms of Planktothrix Rubescens
    by Optimized Metalimnetic Water Withdrawal: A Modelling Study on Adaptive Reservoir
    Operation. <i>Environmental Sciences Europe</i> <b>34</b>.'
  chicago: 'Mi, Chenxi, David P. Hamilton, Marieke A. Frassl, Tom Shatwell, Xiangzhen
    Kong, Bertram Boehrer, Yiping Li, Jan Donner, and Karsten Rinke. “Controlling
    Blooms of Planktothrix Rubescens by Optimized Metalimnetic Water Withdrawal: A
    Modelling Study on Adaptive Reservoir Operation.” <i>Environmental Sciences Europe</i>
    34, no. 1 (2022). <a href="https://doi.org/10.1186/s12302-022-00683-3">https://doi.org/10.1186/s12302-022-00683-3</a>.'
  chicago-de: 'Mi, Chenxi, David P. Hamilton, Marieke A. Frassl, Tom Shatwell, Xiangzhen
    Kong, Bertram Boehrer, Yiping Li, Jan Donner und Karsten Rinke. 2022. Controlling
    blooms of Planktothrix rubescens by optimized metalimnetic water withdrawal: a
    modelling study on adaptive reservoir operation. <i>Environmental Sciences Europe</i>
    34, Nr. 1. doi:<a href="https://doi.org/10.1186/s12302-022-00683-3">10.1186/s12302-022-00683-3</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;"><span style="font-variant:small-caps;">Mi,
    Chenxi</span> ; <span style="font-variant:small-caps;">Hamilton, David P.</span>
    ; <span style="font-variant:small-caps;">Frassl, Marieke A.</span> ; <span style="font-variant:small-caps;">Shatwell,
    Tom</span> ; <span style="font-variant:small-caps;">Kong, Xiangzhen</span> ; <span
    style="font-variant:small-caps;">Boehrer, Bertram</span> ; <span style="font-variant:small-caps;">Li,
    Yiping</span> ; <span style="font-variant:small-caps;">Donner, Jan</span> ; u. a.</span>:
    Controlling blooms of Planktothrix rubescens by optimized metalimnetic water withdrawal:
    a modelling study on adaptive reservoir operation. In: <i>Environmental Sciences
    Europe</i> Bd. 34. Berlin, Springer  (2022), Nr. 1'
  havard: 'C. Mi, D.P. Hamilton, M.A. Frassl, T. Shatwell, X. Kong, B. Boehrer, Y.
    Li, J. Donner, K. Rinke, Controlling blooms of Planktothrix rubescens by optimized
    metalimnetic water withdrawal: a modelling study on adaptive reservoir operation,
    Environmental Sciences Europe. 34 (2022).'
  ieee: 'C. Mi <i>et al.</i>, “Controlling blooms of Planktothrix rubescens by optimized
    metalimnetic water withdrawal: a modelling study on adaptive reservoir operation,”
    <i>Environmental Sciences Europe</i>, vol. 34, no. 1, Art. no. 102, 2022, doi:
    <a href="https://doi.org/10.1186/s12302-022-00683-3">10.1186/s12302-022-00683-3</a>.'
  mla: 'Mi, Chenxi, et al. “Controlling Blooms of Planktothrix Rubescens by Optimized
    Metalimnetic Water Withdrawal: A Modelling Study on Adaptive Reservoir Operation.”
    <i>Environmental Sciences Europe</i>, vol. 34, no. 1, 102, 2022, <a href="https://doi.org/10.1186/s12302-022-00683-3">https://doi.org/10.1186/s12302-022-00683-3</a>.'
  short: C. Mi, D.P. Hamilton, M.A. Frassl, T. Shatwell, X. Kong, B. Boehrer, Y. Li,
    J. Donner, K. Rinke, Environmental Sciences Europe 34 (2022).
  ufg: '<b>Mi, Chenxi u. a.</b>: Controlling blooms of Planktothrix rubescens by optimized
    metalimnetic water withdrawal: a modelling study on adaptive reservoir operation,
    in: <i>Environmental Sciences Europe</i> 34 (2022), H. 1.'
  van: 'Mi C, Hamilton DP, Frassl MA, Shatwell T, Kong X, Boehrer B, et al. Controlling
    blooms of Planktothrix rubescens by optimized metalimnetic water withdrawal: a
    modelling study on adaptive reservoir operation. Environmental Sciences Europe.
    2022;34(1).'
date_created: 2024-12-08T19:51:51Z
date_updated: 2024-12-11T13:15:52Z
department:
- _id: DEP8022
doi: 10.1186/s12302-022-00683-3
extern: '1'
intvolume: '        34'
issue: '1'
language:
- iso: eng
place: Berlin
publication: Environmental Sciences Europe
publication_identifier:
  eissn:
  - 2190-4715
  issn:
  - 2190-4707
publication_status: published
publisher: 'Springer '
quality_controlled: '1'
status: public
title: 'Controlling blooms of Planktothrix rubescens by optimized metalimnetic water
  withdrawal: a modelling study on adaptive reservoir operation'
type: scientific_journal_article
user_id: '83781'
volume: 34
year: '2022'
...