Simple metal model for predicting uptake and chemical processes in sewage-fed aquaculture ecosystem

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Simple metal model for predicting uptake and chemical processes in sewage-fed aquaculture ecosystem. / Azanu, David; Jorgensen, Sven Erik; Darko, Godfred; Styrishave, Bjarne.

In: Ecological Modelling, Vol. 319, 10.01.2016, p. 130-136.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Azanu, D, Jorgensen, SE, Darko, G & Styrishave, B 2016, 'Simple metal model for predicting uptake and chemical processes in sewage-fed aquaculture ecosystem', Ecological Modelling, vol. 319, pp. 130-136. https://doi.org/10.1016/j.ecolmodel.2015.07.023

APA

Azanu, D., Jorgensen, S. E., Darko, G., & Styrishave, B. (2016). Simple metal model for predicting uptake and chemical processes in sewage-fed aquaculture ecosystem. Ecological Modelling, 319, 130-136. https://doi.org/10.1016/j.ecolmodel.2015.07.023

Vancouver

Azanu D, Jorgensen SE, Darko G, Styrishave B. Simple metal model for predicting uptake and chemical processes in sewage-fed aquaculture ecosystem. Ecological Modelling. 2016 Jan 10;319:130-136. https://doi.org/10.1016/j.ecolmodel.2015.07.023

Author

Azanu, David ; Jorgensen, Sven Erik ; Darko, Godfred ; Styrishave, Bjarne. / Simple metal model for predicting uptake and chemical processes in sewage-fed aquaculture ecosystem. In: Ecological Modelling. 2016 ; Vol. 319. pp. 130-136.

Bibtex

@article{10dec12f431b4dcea7e53627e53589ea,
title = "Simple metal model for predicting uptake and chemical processes in sewage-fed aquaculture ecosystem",
abstract = "This paper shows how a model can be used as an experimental tool to assess the processes in aqua chemistry that should be included in the model. The STELLA software was used to study the uptake of Cd, Pb, Cr, Cu and Hg from sewage-fed aquaculture. Model calibration revealed that feeding rate of 15% was the best, which is also in accordance to the fish growth. The ratio of fish food was also calibrated to be 70% due to a food chain in the water and 30% due to a food chain in the sediment. This gave the lowest uncertainty of the model. The simple metal model was working acceptably well for Pb, Cu and Cd but not working properly for chromium and mercury. Additional processes, including precipitation of chromium and bio-magnification of methylmercury were introduced to explain concentration of chromium and mercury in fish. Comparison of measured and predicted metal concentration used for validation gave a linear regression with an R2 value of 0.9 indicating that a good agreement between the model predictions and the experimental measurements. The finding suggests that the simple metal model is an accurate and useful for predicting uptake and chemical processes in ecosystem.",
keywords = "Metals, Fish, Water, Sediment, Sewage-fed aquaculture, STELLA",
author = "David Azanu and Jorgensen, {Sven Erik} and Godfred Darko and Bjarne Styrishave",
year = "2016",
month = jan,
day = "10",
doi = "10.1016/j.ecolmodel.2015.07.023",
language = "English",
volume = "319",
pages = "130--136",
journal = "Ecological Modelling",
issn = "0304-3800",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Simple metal model for predicting uptake and chemical processes in sewage-fed aquaculture ecosystem

AU - Azanu, David

AU - Jorgensen, Sven Erik

AU - Darko, Godfred

AU - Styrishave, Bjarne

PY - 2016/1/10

Y1 - 2016/1/10

N2 - This paper shows how a model can be used as an experimental tool to assess the processes in aqua chemistry that should be included in the model. The STELLA software was used to study the uptake of Cd, Pb, Cr, Cu and Hg from sewage-fed aquaculture. Model calibration revealed that feeding rate of 15% was the best, which is also in accordance to the fish growth. The ratio of fish food was also calibrated to be 70% due to a food chain in the water and 30% due to a food chain in the sediment. This gave the lowest uncertainty of the model. The simple metal model was working acceptably well for Pb, Cu and Cd but not working properly for chromium and mercury. Additional processes, including precipitation of chromium and bio-magnification of methylmercury were introduced to explain concentration of chromium and mercury in fish. Comparison of measured and predicted metal concentration used for validation gave a linear regression with an R2 value of 0.9 indicating that a good agreement between the model predictions and the experimental measurements. The finding suggests that the simple metal model is an accurate and useful for predicting uptake and chemical processes in ecosystem.

AB - This paper shows how a model can be used as an experimental tool to assess the processes in aqua chemistry that should be included in the model. The STELLA software was used to study the uptake of Cd, Pb, Cr, Cu and Hg from sewage-fed aquaculture. Model calibration revealed that feeding rate of 15% was the best, which is also in accordance to the fish growth. The ratio of fish food was also calibrated to be 70% due to a food chain in the water and 30% due to a food chain in the sediment. This gave the lowest uncertainty of the model. The simple metal model was working acceptably well for Pb, Cu and Cd but not working properly for chromium and mercury. Additional processes, including precipitation of chromium and bio-magnification of methylmercury were introduced to explain concentration of chromium and mercury in fish. Comparison of measured and predicted metal concentration used for validation gave a linear regression with an R2 value of 0.9 indicating that a good agreement between the model predictions and the experimental measurements. The finding suggests that the simple metal model is an accurate and useful for predicting uptake and chemical processes in ecosystem.

KW - Metals

KW - Fish

KW - Water

KW - Sediment

KW - Sewage-fed aquaculture

KW - STELLA

U2 - 10.1016/j.ecolmodel.2015.07.023

DO - 10.1016/j.ecolmodel.2015.07.023

M3 - Journal article

VL - 319

SP - 130

EP - 136

JO - Ecological Modelling

JF - Ecological Modelling

SN - 0304-3800

ER -

ID: 173321670