An optimal trace zinc biomonitor (Haliotis diversicolor supertexta) control system design in aquacultural ecosystems

Liao, Chung‐Min; Chen, Bo-Ching; Lin, Mei-Ying; Chen, Jein-Wen

doi:10.1016/s0307-904x(99)00024-4

Cited by 11 publications

(6 citation statements)

References 14 publications

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“…The PBTK model structure consisted of muscle (compartment 2), gill (compartment 3), alimentary canal (compartment 4), and liver (compartment 5), which are interconnected by blood (compartment 1) circulation (Figure 2). The essence of almost all PBTK models can be described by a linear dynamic equation (Abbas and Hayton 1997; Thomann et al 1997; Nichols et al 1998; Liao et al 2000; Lien et al 2001) (see Appendix A for details)…”

Section: Methodsmentioning

confidence: 99%

“…The use of PBTK models in toxicology research and chemical risk assessment today is primarily related to their ability to make more accurate predictions of target‐organ dose for different exposure situations in different animal species. PBTK/TD models have been extensively used in risk assessment and prediction of TK and TD behavior in several aquatic species, e.g., Cd in rainbow trout Salmo gairdneri (Thomann et al, 1997), paraoxon in rainbow trout Oncorhynchus mykiss (Abbas and Hayton 1997), Zn in abalone Haliotis diversicolo supertexta (Liao et al 2000), and waterborne organic chemicals in brook trout Salvelinus fontinalis (Nichols et al 1998) and in lake trout Salvelinus namaycush (Lien et al 2001).…”

Section: Introductionmentioning

confidence: 99%

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A PBTK/TD modeling‐based approach can assess arsenic bioaccumulation in farmed tilapia (Oreochromis mossambicus) and human health risks

Ling

Liao

Tsai

et al. 2005

Integr Envir Assess & Manag

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A biologically based risk-assessment model of arsenic (As) exposure evaluated farmed tilapia (Orechromis mossambicus) and human health during tilapia consumption in an area of southwestern Taiwan where blackfoot disease (BFD) occurs. The risk assessment addressed exposures to city residents who lived in Taipei, Taichung, and Kaohsiung, as well as subsistence fi shers living in the BFD area who consumed tilapia. The models implemented included a physiologically based toxicokinetic and toxicodynamic (PBTK/TD) model to account for As exposure and dose-response profi les in tilapia and a human health exposure/risk model that accounts for target lifetime risk (TR) and hazard quotient (HQ) for humans consuming farmed tilapia. Results demonstrated that 90th percentiles of TR ranged from 1.53 × 10 Ϫ8 to 1.62 × 10 Ϫ6 for city residents with farmed tilapia consumption rates of 0.41 to 1.37 g/d. The 90th percentiles ranged from 2.07 × 10 Ϫ6 to 7.89 × 10 Ϫ5 for subsistence fi shers in the BFD area with farmed tilapia consumption rates of 16.80 to 59.15 g/d. All predicted 90th percentiles of HQ were less than 1 for city residents and subsistence fi shers in the BFD area, indicating small contributions from farmed tilapia consumption. Critical variables included whole-fi sh body weight, water As content, and As level in tilapia muscle. Although bioaccumulation of As seems unlikely to result in toxicity to farmed tilapia and humans consuming tilapia, the theoretical human health risks in the BFD area are alarming, using a probabilistic risk-assessment model based on conservative assumptions.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A PBTK/TD modeling‐based approach can assess arsenic bioaccumulation in farmed tilapia (Oreochromis mossambicus) and human health risks

Ling

Liao

Tsai

et al. 2005

Integr Envir Assess & Manag

Self Cite

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“…This might be the result of numerical dispersion (Liao et al, 2002) caused by using a single box to represent the spatial domain of Moreton Bay. However, comparisons of measured vs. predicted concentrations for DIN also suggested other factors additional to numerical dispersion.…”

Section: Discussionmentioning

confidence: 99%

Using a weight-structured oyster population dynamic model to explore top-down control of coastal water quality in a subtropical embayment

Richards

Chaloupka

2014

ICES Journal of Marine Science

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Richards, R. G., and Chaloupka, M. Using a weight-structured oyster population dynamic model to explore top-down control of coastal water quality in a subtropical embayment. -ICES Journal of Marine Science, 72: 403 -413.Received 18 November 2013; revised 11 June 2014; accepted 13 June 2014; advance access publication 14 July 2014.The natural filtering capacity of oysters and other suspension filter-feeders has seen them put forward as a potential water quality management option. However, the specifics of how many oysters would be required to clean a system are not necessarily straightforward to evaluate because of the size-dependence of oyster physiological rates along with the dynamic coupling that exists between the oysters and the environment. We use a weight-structured shellfish population model and a nutrient -phytoplankton -detritus model to answer the question of how many oysters it would take to clean a large estuary located in Queensland, Australia. Modelling results indicate that improvements in the water quality are not seen until the stocking density of oysters exceeds 0.09 ind. ), respectively. This research highlights that regulatory feedback pathways exist between a shellfish population and the water quality constituents that they control through filtration. While the use of oysters and other filter-feeders may be an appealing approach to nutrient management and top-down control of phytoplankton, the practicalities of deploying oysters at a system-scale may be the greatest barrier to this option.

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“…High metal concentrations in the water inside the rearing area can be a serious problem as they can result in heavy metal intoxication to consumers [80]. Therefore, it is essential to ensure that the level of metals in the water stays within an acceptable level.…”

Section: Controlling Metalsmentioning

confidence: 99%

Taxonomy of Means and Ends in Aquaculture Production—Part 1: The Functions

Björnsdóttir

Oddsson

Thorarinsdottir

et al. 2016

Water

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Abstract:The aquaculture sector has been increasing its share in the total fish production in the world. Numerous studies have been published about aquaculture, introducing a variety of techniques and methods that have been applied or could be applied in aquaculture production systems. The purpose of this study is to present a systemic overview of the functions of aquaculture production systems. Each function of an aquaculture system is applied to carry out a certain purpose. The results are divided into three sets of functions: input, treatment, and output. Input functions deal with what happens before the rearing area, treatment functions are about what happens inside the rearing area, and output functions is what comes out of the system. In this study, five input functions, ten treatment functions, and five output functions are indentified. For each function the controlling parameters or indicators were identified and then a list of possible methods or technological solutions in order to carry out the function was compiled. The results are presented in a system map that aggregates all functions used in different types of aquaculture systems along with their methods of solution. This is the first of four articles that together generate taxonomy of both means and ends in aquaculture. The aim is to identify both the technical solutions (means) that solve different functions (ends) and the corresponding functions. This article is about the functions.

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An optimal trace zinc biomonitor (Haliotis diversicolor supertexta) control system design in aquacultural ecosystems

Cited by 11 publications

References 14 publications

A PBTK/TD modeling‐based approach can assess arsenic bioaccumulation in farmed tilapia (Oreochromis mossambicus) and human health risks

A PBTK/TD modeling‐based approach can assess arsenic bioaccumulation in farmed tilapia (Oreochromis mossambicus) and human health risks

Using a weight-structured oyster population dynamic model to explore top-down control of coastal water quality in a subtropical embayment

Taxonomy of Means and Ends in Aquaculture Production—Part 1: The Functions

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