Probabilistic risk assessment of abalone Haliotis diversicolor supertexta exposed to waterborne zinc

Liao, Chung‐Min; Ling, Min‐Pei

doi:10.1016/j.envpol.2003.08.009

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…It can be seen from the previously published acute toxicity data that the mortality function is estimated from observed mortality percentages in exposure regimes in which mortality is an increasing function of the As concentration in water. In fitting the AUC‐based TD model to the observed mortality for specific‐interval acute toxicity data, the dose‐response profile can be expressed (Liao et al 2004b) as where M is the mortality (%); the exponent 4.07 is a fitted average value, referred to as the Hill coefficient; and 96‐h LC50 is the 96‐h median lethal concentration (mg/L).…”

Section: Methodsmentioning

confidence: 99%

“…Equation 5 can be transformed appropriately to an organ‐specific concentration‐response relationship using the AUC‐based TD model framework to predict the response (Liao et al 2004b) as where M i is mortality for tilapia in target organ i ; C f,i is the internal As concentration in target organ i; BCF i is the bio‐concentration factor for target organ i ; and LC50(∞) is the incipient value of LC50 ( t ). We treated BCF i and LC50 (∞) in Equation 6 probabilistically.…”

Section: Methodsmentioning

confidence: 99%

“… b Calculated from k M,i = ln2/(ln2/ k 2,i ) in that k 2,i is the depuration rate of specific target organ i (Liao et al 2004b). …”

Section: Methodsmentioning

confidence: 99%

“…We focused on the risk of survival of tilapia exposed to waterborne As. Probabilistic modeling has received increasing support as a promising technique for characterizing the uncertainty and variation in estimates of environmental exposure assessment regarding aquacultural management (Liao and Ling 2003, 2004; Liao et al 2003b).…”

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: Methodsmentioning

confidence: 99%

“… b Calculated from k M,i = ln2/(ln2/ k 2,i ) in that k 2,i is the depuration rate of specific target organ i (Liao et al 2004b). …”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Small abalone, H. diversicolor, is a commercially important species for fisheries and aquaculture in southern China [42]. The small abalone was easy response to the environmental pressure such as pollution, infectious disease or other stresses [43].…”

Section: Introductionsmentioning

confidence: 99%

Gene expression profiling in respond to TBT exposure in small abalone Haliotis diversicolor

Jia

Zou

Wang

et al. 2011

Fish & Shellfish Immunology

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Predictive risk thresholds for survival protection of farmed abalone,Haliotis diversicolor supertexta, exposed to waterborne zinc

Liao

Chou

2005

Environ. Toxicol.

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Using a probabilistic risk-based framework, we have developed a simple predictive risk threshold model for protecting the survival of farmed abalone, Haliotis diversicolor supertexta, exposed to waterborne zinc (Zn). Probabilistic techniques using Monte Carlo analysis propagate parameter uncertainty/variability throughout the model, providing decision makers with a credible range of information and increased flexibility in establishing a specific Zn level in aquacultural ecosystems. We coupled a first-order two-compartment bioaccumulation model with a reconstructed dose-response profile based on a three-parameter Hill equation model to form a probabilistic risk model in order to determine the risk quotient associated with a 10% probability of exceeding the abalone 5% effect concentration (EC(5)) at site-specific abalone farms. Sensitivity analysis revealed that waterborne Zn concentration (C(w)) and algae bioconcentration factor (BCF(a)) have a significant effect on Zn levels in abalone. Using multiple nonlinear regression analysis with C(w) and BCF(a) as the parameters, a predictive risk threshold equation that can be used in a variety of site-specific conditions was developed for protecting the survival of farmed abalone. We believe this probabilistic framework provides an effective method for conceptualizing a public policy decision vis-a-vis the establishment of a specific acceptable risk threshold for aquacultural water quality management.

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Probabilistic risk assessment of abalone Haliotis diversicolor supertexta exposed to waterborne zinc

Cited by 9 publications

References 15 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

Gene expression profiling in respond to TBT exposure in small abalone Haliotis diversicolor

Predictive risk thresholds for survival protection of farmed abalone,Haliotis diversicolor supertexta, exposed to waterborne zinc

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