Uncertainty evaluation and performance assessment of water quality model for mariculture management.

Autor: Arega F; South Carolina Department of Health & Environmental Control, Columbia, SC 29201, USA. Electronic address: farega@yahoo.com., Lee JHW; Macao Environmental Research Institute, Macau University of Science and Technology, Taipa, Macao. Electronic address: jhwlee@must.edu.mo., Choi DKW; Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, China. Electronic address: dkwchoi@ust.hk.
Jazyk: angličtina
Zdroj: Marine pollution bulletin [Mar Pollut Bull] 2022 Nov; Vol. 184, pp. 114172. Date of Electronic Publication: 2022 Oct 06.
DOI: 10.1016/j.marpolbul.2022.114172
Abstrakt: Ecosystem based water quality models are important tools for prognostic site assessment and evaluation of ecosystem-performance of marine fish farms. We present the development and application of a comprehensive Fish Culture Zone Water Quality Model using continuous bi-weekly field data over a six-year period (2012-2017). The model simulates five interacting subsystems: phytoplankton, phosphorus and nitrogen cycles, and the dissolved oxygen (DO) and particulate organic carbon balance. The application of the model to two fish culture zones in Hong Kong shows the model captures the trends of nutrient and DO variation and the performance in quantitative prediction of algal biomass is challenging. The effect of errors in the specification of primary model inputs are evaluated using dimensionless sensitivity coefficients based on First Order Variance Analysis reveals the relative importance of fish stock (loading), physical size (volume), tidal flushing rate and boundary conditions in the prediction of key water quality variables.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2022 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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