Nonlinear relationship of near-bed velocity and growth of riverbed periphyton

Mohamed Ateia, Mahmoud Nasr, Akira Ikeda, Hisako Okada, Manabu Fujii, Masafumi Natsuike, Chihiro Yoshimura

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Artificial streams were set up to test the relationship between near-bed water velocity and periphyton growth. Periphyton community samples collected from a Japanese stream were incubated for 44 days under a light intensity of 252 ± 72 μmol˙photons/m2˙s, a temperature of 20-25 °C, and three near-bed water velocity classes: low (< 17.9 cm/s), moderate (17.9-32.8 cm/s), and high (> 32.8 cm/s). A logistic model was applied to estimate the maximum net growth rate (μmax) and carrying capacity (Bmax). A response surface method was also applied to estimate chlorophyll a (Chl-a) and ash-free dry mass (AFDM) with respect to the independent variables (i.e., time and water velocity). We detected both the highest μmax (1.99 d-1) and highest Bmax (7.01 mg/m2) for Chl-a at the moderate water velocity. For AFDM, we observed the highest μmax (0.57 d-1) and Bmax (1.47 g/m2) at the low and moderate velocity classes, respectively. The total algae density in the region of moderate velocity at the end of the experiment was 6.47 × 103 cells/cm2, corresponding to levels 1.7 and 1.3 times higher than those at lower and higher velocities, respectively. Our findings indicated that the moderate near-bed water velocity provided favorable conditions for algal growth and corresponding biomass accumulation.

Original languageEnglish
Article number461
JournalWater (Switzerland)
Volume8
Issue number10
DOIs
Publication statusPublished - 17 Oct 2016
Externally publishedYes

Fingerprint

periphyton
stream channels
water
Water
Growth
Ashes
algae
lower class
Conservation of Natural Resources
chlorophyll a
ash
Biomass
chlorophyll
Logistic Models
logistics
logit analysis
Light
Algae
carrying capacity
Temperature

Keywords

  • Logistic model
  • Near-bed water velocity
  • Periphyton growth
  • Response surface method

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Biochemistry
  • Aquatic Science
  • Water Science and Technology

Cite this

Ateia, M., Nasr, M., Ikeda, A., Okada, H., Fujii, M., Natsuike, M., & Yoshimura, C. (2016). Nonlinear relationship of near-bed velocity and growth of riverbed periphyton. Water (Switzerland), 8(10), [461]. https://doi.org/10.3390/w8100461

Nonlinear relationship of near-bed velocity and growth of riverbed periphyton. / Ateia, Mohamed; Nasr, Mahmoud; Ikeda, Akira; Okada, Hisako; Fujii, Manabu; Natsuike, Masafumi; Yoshimura, Chihiro.

In: Water (Switzerland), Vol. 8, No. 10, 461, 17.10.2016.

Research output: Contribution to journalArticle

Ateia, M, Nasr, M, Ikeda, A, Okada, H, Fujii, M, Natsuike, M & Yoshimura, C 2016, 'Nonlinear relationship of near-bed velocity and growth of riverbed periphyton', Water (Switzerland), vol. 8, no. 10, 461. https://doi.org/10.3390/w8100461
Ateia, Mohamed ; Nasr, Mahmoud ; Ikeda, Akira ; Okada, Hisako ; Fujii, Manabu ; Natsuike, Masafumi ; Yoshimura, Chihiro. / Nonlinear relationship of near-bed velocity and growth of riverbed periphyton. In: Water (Switzerland). 2016 ; Vol. 8, No. 10.
@article{cec14c33e40d476e9cf958a2d690470a,
title = "Nonlinear relationship of near-bed velocity and growth of riverbed periphyton",
abstract = "Artificial streams were set up to test the relationship between near-bed water velocity and periphyton growth. Periphyton community samples collected from a Japanese stream were incubated for 44 days under a light intensity of 252 ± 72 μmol˙photons/m2˙s, a temperature of 20-25 °C, and three near-bed water velocity classes: low (< 17.9 cm/s), moderate (17.9-32.8 cm/s), and high (> 32.8 cm/s). A logistic model was applied to estimate the maximum net growth rate (μmax) and carrying capacity (Bmax). A response surface method was also applied to estimate chlorophyll a (Chl-a) and ash-free dry mass (AFDM) with respect to the independent variables (i.e., time and water velocity). We detected both the highest μmax (1.99 d-1) and highest Bmax (7.01 mg/m2) for Chl-a at the moderate water velocity. For AFDM, we observed the highest μmax (0.57 d-1) and Bmax (1.47 g/m2) at the low and moderate velocity classes, respectively. The total algae density in the region of moderate velocity at the end of the experiment was 6.47 × 103 cells/cm2, corresponding to levels 1.7 and 1.3 times higher than those at lower and higher velocities, respectively. Our findings indicated that the moderate near-bed water velocity provided favorable conditions for algal growth and corresponding biomass accumulation.",
keywords = "Logistic model, Near-bed water velocity, Periphyton growth, Response surface method",
author = "Mohamed Ateia and Mahmoud Nasr and Akira Ikeda and Hisako Okada and Manabu Fujii and Masafumi Natsuike and Chihiro Yoshimura",
year = "2016",
month = "10",
day = "17",
doi = "10.3390/w8100461",
language = "English",
volume = "8",
journal = "Water (Switzerland)",
issn = "2073-4441",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "10",

}

TY - JOUR

T1 - Nonlinear relationship of near-bed velocity and growth of riverbed periphyton

AU - Ateia, Mohamed

AU - Nasr, Mahmoud

AU - Ikeda, Akira

AU - Okada, Hisako

AU - Fujii, Manabu

AU - Natsuike, Masafumi

AU - Yoshimura, Chihiro

PY - 2016/10/17

Y1 - 2016/10/17

N2 - Artificial streams were set up to test the relationship between near-bed water velocity and periphyton growth. Periphyton community samples collected from a Japanese stream were incubated for 44 days under a light intensity of 252 ± 72 μmol˙photons/m2˙s, a temperature of 20-25 °C, and three near-bed water velocity classes: low (< 17.9 cm/s), moderate (17.9-32.8 cm/s), and high (> 32.8 cm/s). A logistic model was applied to estimate the maximum net growth rate (μmax) and carrying capacity (Bmax). A response surface method was also applied to estimate chlorophyll a (Chl-a) and ash-free dry mass (AFDM) with respect to the independent variables (i.e., time and water velocity). We detected both the highest μmax (1.99 d-1) and highest Bmax (7.01 mg/m2) for Chl-a at the moderate water velocity. For AFDM, we observed the highest μmax (0.57 d-1) and Bmax (1.47 g/m2) at the low and moderate velocity classes, respectively. The total algae density in the region of moderate velocity at the end of the experiment was 6.47 × 103 cells/cm2, corresponding to levels 1.7 and 1.3 times higher than those at lower and higher velocities, respectively. Our findings indicated that the moderate near-bed water velocity provided favorable conditions for algal growth and corresponding biomass accumulation.

AB - Artificial streams were set up to test the relationship between near-bed water velocity and periphyton growth. Periphyton community samples collected from a Japanese stream were incubated for 44 days under a light intensity of 252 ± 72 μmol˙photons/m2˙s, a temperature of 20-25 °C, and three near-bed water velocity classes: low (< 17.9 cm/s), moderate (17.9-32.8 cm/s), and high (> 32.8 cm/s). A logistic model was applied to estimate the maximum net growth rate (μmax) and carrying capacity (Bmax). A response surface method was also applied to estimate chlorophyll a (Chl-a) and ash-free dry mass (AFDM) with respect to the independent variables (i.e., time and water velocity). We detected both the highest μmax (1.99 d-1) and highest Bmax (7.01 mg/m2) for Chl-a at the moderate water velocity. For AFDM, we observed the highest μmax (0.57 d-1) and Bmax (1.47 g/m2) at the low and moderate velocity classes, respectively. The total algae density in the region of moderate velocity at the end of the experiment was 6.47 × 103 cells/cm2, corresponding to levels 1.7 and 1.3 times higher than those at lower and higher velocities, respectively. Our findings indicated that the moderate near-bed water velocity provided favorable conditions for algal growth and corresponding biomass accumulation.

KW - Logistic model

KW - Near-bed water velocity

KW - Periphyton growth

KW - Response surface method

UR - http://www.scopus.com/inward/record.url?scp=84994613471&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84994613471&partnerID=8YFLogxK

U2 - 10.3390/w8100461

DO - 10.3390/w8100461

M3 - Article

VL - 8

JO - Water (Switzerland)

JF - Water (Switzerland)

SN - 2073-4441

IS - 10

M1 - 461

ER -