Tiered aquatic ecological risk assessment of organochlorine pesticides and their mixture in Jiangsu reach of Huaihe River, China

Wang, Bin; Yu, Gang; Huang, Jun; Yu, Yajuan; Hu, Hong-Ying; Wang, Liansheng

doi:10.1007/s10661-008-0512-2

Cited by 104 publications

(49 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The risk assessment process used in this study was a tiered approach following published methods (ECOFRAM 1999;Zolezzi et al 2005;Wang et al 2009) and consisting on four levels-deterministic, etc.…”

Section: Tiered Risk Characterizationmentioning

confidence: 99%

“…Margins of safety greater than 1.0 indicated that the distributions did not overlap and thus minimal risk to aquatic organisms. In addition, the exceedance probability function (EXF, calculated as 100-cumulative distribution function) and the SSD were used to generate a joint probability curve (JPC), which describes the probability of a particular set of exposure conditions occurring relative to the number of taxa that would be affected (Solomon et al 2000;Zolezzi et al 2005;Wang et al 2009). …”

Section: Tiered Risk Characterizationmentioning

confidence: 99%

“…Because PERAs can better describe the likelihood of exceeding the effect thresholds and the risk of adverse effects (Solomon and Sibley 2002), this approach has been adopted by a number of researchers (Giesy et al 1999;Hall et al 2000;Zolezzi et al 2005;Brain et al 2006;Hunt et al 2010). To obtain more reliable results for decision-making processes on site-specific contamination, some researchers and scientific institutions have suggested the use of a tiered approach, ranging from simple deterministic methods to probabilistic methods, for risk characterization, (Solomon et al 2000;Zolezzi et al 2005;Wang et al 2009). …”

Section: Introductionmentioning

confidence: 99%

“…This is especially true for local species required for site-specific ERAs. An alternative approach is the use of acute toxicity data (LC 50 or EC 50 ) and application of an appropriate acute to chronic ratio (ACR) to predict concentrations that will not cause adverse effects during long-term chronic exposures (Chen 2005;Wang et al 2009). However, the use of ACRs has been criticized (Chapman et al 1998;Roex et al 2000;Isnard et al 2001).…”

Section: Introductionmentioning

confidence: 99%

“…In some cases, average ACRs can be inadequate to extrapolate accurately from acute to chronic values (Brix et al 2001;Besser et al 2005). In addition, the toxicity data used in Chinese site-specific ERAs are mainly data for nonnative species from toxicity databases (e.g., ECOTOX) due to the paucity of toxicity data available for local species (Wang et al , 2009Chen 2005;Zhong et al 2010). However, the potential use of toxicity information for nonnative species for description of a local problem is controversial (Davies et al 1994).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A tiered ecological risk assessment of three chlorophenols in Chinese surface waters

Jin

Gao

Zha

et al. 2011

Environ Sci Pollut Res

View full text Add to dashboard Cite

Introduction The ecological risks posed by three chlorophenols (CPs), 2,4-dichlorophenol (2,4-DCP), 2,4,6-trichlorophenol (2,4,6-TCP), and pentachlorophenol (PCP) in Chinese surface waters were assessed. Materials and methods This was achieved by applying a tiered ecological risk assessment (ERA) approach ranging from deterministic methods to probabilistic options to measured concentrations of CPs in surface water of seven major watersheds and three drainage regions in China and the chronic toxicity data for indigenous Chinese species. Results and discussionThe results show that the risks of three chlorophenols are ranked PCP>2,4-DCP≈2,4,6-TCP. PCP posed little ecological risk while 2,4-DCP and 2,4,6-TCP posed negligible or de minimis risk in Chinese surface water. However, the risks varied with different river basins, for example, PCP posed some ecological risk in the Yangtze, Huaihe, and Pearl Rivers. The magnitude of 2,4-DCP and 2,4,6-TCP pollution in North China was more serious than that in South China. Conclusion The probabilistic risk assessment approach, which can provide more information for risk managers Res (2012) 19:1544-1554 DOI 10.1007 and decision makers, was favored over the screening-level single-value estimate method. However, the results from all tiers of the ERA methods in the framework were consistent with each other.

show abstract

Section: Tiered Risk Characterizationmentioning

confidence: 99%

Section: Tiered Risk Characterizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A tiered ecological risk assessment of three chlorophenols in Chinese surface waters

Jin

Gao

Zha

et al. 2011

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

Application of species sensitivity distribution in aquatic probabilistic ecological risk assessment of cypermethrin: A case study in an urban stream in South China

You

2015

Enviro Toxic and Chemistry

View full text Add to dashboard Cite

A tiered ecological risk assessment was applied to quantitatively refine the overall probabilistic risk of cypermethrin, a pyrethroid insecticide, to aquatic organisms. These results were then validated through the bioassays using field water from an urban stream, Chebei Creek in Guangzhou, South China. Seventeen water samples were collected along Chebei Creek for evaluation. In total, 71% of the field waters were acutely toxic to Hyallela azteca and 24% of the waters caused 100% mortality. Toxic unit evaluation suggested that cypermethrin was one of the main contributors to toxicity. The tiered ecological risk assessment approach (deterministic quotient method and probabilistic methods, including joint probability curve and Monte Carlo Simulation) suggested that cypermethrin posed significant threats to aquatic ecology in this stream. The overall probabilistic risk of cypermethrin to aquatic species in Chebei Creek reached 66% when acute-to-chronic ratios were set at 125. An exceedance probability of cypermethrin in Chebei Creek that affected H. azteca as modeled using the joint probability curve method was 88%, suggesting that most sites were at risk due to cypermethrin exposure. This value was similar to the results obtained from acute toxicity tests (71% of field water samples were acutely toxic to H. azteca), indicating the effectiveness of the tiered approach to assess risk of cypermethrin in urban waterways. To the authors' knowledge, the present study is the first to provide a focused probabilistic evaluation of ecological risk for cypermethrin in a complex urban waterway environment. Despite uncertainties existing in the ecological risk assessment procedure, this approach provides a comprehensive assessment of ecological risk of cypermethrin, and subsequently, a foundation for further risk diagnosis and management in urban waterways. Environ Toxicol Chem 2015;34:640-648. # 2014 SETAC

show abstract

Advancing exposure assessment approaches to improve wildlife risk assessment

Morrissey

Fritsch

Fremlin

et al. 2023

Integr Envir Assess & Manag

View full text Add to dashboard Cite

The exposure assessment component of a Wildlife Ecological Risk Assessment aims to estimate the magnitude, frequency, and duration of exposure to a chemical or environmental contaminant, along with characteristics of the exposed population. This can be challenging in wildlife as there is often high uncertainty and error caused by broad‐based, interspecific extrapolation and assumptions often because of a lack of data. Both the US Environmental Protection Agency (USEPA) and European Food Safety Authority (EFSA) have broadly directed exposure assessments to include estimates of the quantity (dose or concentration), frequency, and duration of exposure to a contaminant of interest while considering “all relevant factors.” This ambiguity in the inclusion or exclusion of specific factors (e.g., individual and species‐specific biology, diet, or proportion time in treated or contaminated area) can significantly influence the overall risk characterization. In this review, we identify four discrete categories of complexity that should be considered in an exposure assessment—chemical, environmental, organismal, and ecological. These may require more data, but a degree of inclusion at all stages of the risk assessment is critical to moving beyond screening‐level methods that have a high degree of uncertainty and suffer from conservatism and a lack of realism. We demonstrate that there are many existing and emerging scientific tools and cross‐cutting solutions for tackling exposure complexity. To foster greater application of these methods in wildlife exposure assessments, we present a new framework for risk assessors to construct an “exposure matrix.” Using three case studies, we illustrate how the matrix can better inform, integrate, and more transparently communicate the important elements of complexity and realism in exposure assessments for wildlife. Modernizing wildlife exposure assessments is long overdue and will require improved collaboration, data sharing, application of standardized exposure scenarios, better communication of assumptions and uncertainty, and postregulatory tracking. Integr Environ Assess Manag 2023;00:1–25. © 2023 SETAC

show abstract

Tiered aquatic ecological risk assessment of organochlorine pesticides and their mixture in Jiangsu reach of Huaihe River, China

Cited by 104 publications

References 31 publications

A tiered ecological risk assessment of three chlorophenols in Chinese surface waters

A tiered ecological risk assessment of three chlorophenols in Chinese surface waters

Application of species sensitivity distribution in aquatic probabilistic ecological risk assessment of cypermethrin: A case study in an urban stream in South China

Advancing exposure assessment approaches to improve wildlife risk assessment

Contact Info

Product

Resources

About