Jiang, L, Li, Y, Zhao, X et al. (6 more authors) (2018) Parameter uncertainty and sensitivity analysis of water quality model in Lake Taihu, China. Ecological Modelling, 375. pp. 1-12. ISSN 0304-3800
Abstract
Lake Taihu was chosen as a case for parameter uncertainty and sensitivity analysis of water quality simulation in large shallow lakes. Forty parameters in Environmental Fluid Dynamic Code model (EFDC) were filtered and analyzed. The results showed that parameters had a considerable influence on simulation and three groups of parameters related to algal kinetics (i.e. PMc, BMRc and PRRc), light (KeChl) and temperature (KTG1c) were very sensitive. For shallow lakes with frequent algal blooms, light extinction due to Chlorophyll-a is also a sensitive parameter. While the temperature effect coefficient for algal growth is sensitive for lakes with seasonal temperature variation. Sensitive parameters and their relevant uncertainty varied spatially. For high nutrients and algae concentration subareas, temperature was more likely to be a limiting factor, whereas sensitive factors could be light in lower concentration subareas. Since most sensitive parameters were related to algae, uncertainty in simulation increased with increasing algal kinetic processes over time and varied in different subareas. Lower nutrients and algae concentration subareas were more easily influenced by model parameters while nearshore areas were highly influenced by boundary conditions. For better simulation of water quality, variable stoichiometry phytoplankton models should be considered and zooplankton need to be integrated into the model explicitly rather than a fixed predation rate.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Published by Elsevier B.V. This is an author produced version of a paper published in Ecological Modelling. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Lake Taihu; Sensitivity analysis; Uncertainty analysis; Water quality models |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Mar 2018 14:47 |
Last Modified: | 07 Mar 2019 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ecolmodel.2018.02.014 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:128045 |
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Filename: Manuscript - Parameter Uncertainty Lake Taihu.pdf
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