FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384663022> ?p ?o ?g. }

• W4384663022 abstract "Abstract Produced water (PW) generated by Australian offshore oil and gas activities is typically discharged to the ocean after treatment. These complex mixtures of organic and inorganic compounds can pose significant environmental risk to receiving waters, if not managed appropriately. Oil and gas operators in Australia are required to demonstrate that environmental impacts of their activity are managed to levels that are as low as reasonably practicable, for example, through risk assessments comparing predicted no‐effect concentrations (PNECs) with predicted environmental concentrations of PW. Probabilistic species sensitivity distribution (SSD) approaches are increasingly being used to derive PW PNECs and subsequently calculating dilutions of PW (termed “safe” dilutions) required to protect a nominated percentage of species in the receiving environment (e.g., 95% and 99% or PC95 and PC99, respectively). Limitations associated with SSDs include fitting a single model to small (six to eight species) data sets, resulting in large uncertainty (very wide 95% confidence limits) in the region associated with PC99 and PC95 results. Recent advances in SSD methodology, in the form of model averaging, claim to overcome some of these limitations by applying the average model fit of multiple models to a data set. We assessed the advantages and limitations of four different SSD software packages for determining PNECs for five PWs from a gas and condensate platform off the North West Shelf of Australia. Model averaging reduced occurrences of extreme uncertainty around PC95 and PC99 values compared with single model fitting and was less prone to the derivation of overly conservative PC99 and PC95 values that resulted from lack of fit to single models. Our results support the use of model averaging for improved robustness in derived PNEC and subsequent “safe” dilution values for PW discharge management and risk assessment. In addition, we present and discuss the toxicity of PW considering the paucity of such information in peer‐reviewed literature. Integr Environ Assess Manag 2023;00:1–20. © 2023 Commonwealth Scientific and Industrial Research Organisation. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC)." @default.
• W4384663022 created "2023-07-20" @default.
• W4384663022 creator A5021253635 @default.
• W4384663022 creator A5033867471 @default.
• W4384663022 creator A5046119725 @default.
• W4384663022 creator A5070713164 @default.
• W4384663022 creator A5073357761 @default.
• W4384663022 date "2023-08-28" @default.
• W4384663022 modified "2023-10-09" @default.
• W4384663022 title "Advantages of model averaging of species sensitivity distributions used for regulating produced water discharges" @default.
• W4384663022 cites W1912742023 @default.
• W4384663022 cites W19475112 @default.
• W4384663022 cites W1974790677 @default.
• W4384663022 cites W2013143149 @default.
• W4384663022 cites W2036058383 @default.
• W4384663022 cites W2040180739 @default.
• W4384663022 cites W2053042547 @default.
• W4384663022 cites W2058324883 @default.
• W4384663022 cites W2059028131 @default.
• W4384663022 cites W2076291238 @default.
• W4384663022 cites W2081576181 @default.
• W4384663022 cites W2085562466 @default.
• W4384663022 cites W2111855496 @default.
• W4384663022 cites W2138309709 @default.
• W4384663022 cites W2140423574 @default.
• W4384663022 cites W2147869714 @default.
• W4384663022 cites W2148198984 @default.
• W4384663022 cites W2258167286 @default.
• W4384663022 cites W2443529121 @default.
• W4384663022 cites W2473928210 @default.
• W4384663022 cites W2507504650 @default.
• W4384663022 cites W2561918221 @default.
• W4384663022 cites W2749285214 @default.
• W4384663022 cites W2767150563 @default.
• W4384663022 cites W2900704491 @default.
• W4384663022 cites W2921114432 @default.
• W4384663022 cites W2924139687 @default.
• W4384663022 cites W2936984052 @default.
• W4384663022 cites W3024951205 @default.
• W4384663022 cites W3088706320 @default.
• W4384663022 cites W3095955650 @default.
• W4384663022 cites W3105540090 @default.
• W4384663022 cites W3124074147 @default.
• W4384663022 cites W3132779316 @default.
• W4384663022 cites W3169217591 @default.
• W4384663022 cites W4205407869 @default.
• W4384663022 cites W4283168155 @default.
• W4384663022 cites W4295857964 @default.
• W4384663022 cites W4320800150 @default.
• W4384663022 cites W48194289 @default.
• W4384663022 cites W5331444 @default.
• W4384663022 doi "https://doi.org/10.1002/ieam.4817" @default.
• W4384663022 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37466036" @default.
• W4384663022 hasPublicationYear "2023" @default.
• W4384663022 type Work @default.
• W4384663022 citedByCount "1" @default.
• W4384663022 countsByYear W43846630222023 @default.
• W4384663022 crossrefType "journal-article" @default.
• W4384663022 hasAuthorship W4384663022A5021253635 @default.
• W4384663022 hasAuthorship W4384663022A5033867471 @default.
• W4384663022 hasAuthorship W4384663022A5046119725 @default.
• W4384663022 hasAuthorship W4384663022A5070713164 @default.
• W4384663022 hasAuthorship W4384663022A5073357761 @default.
• W4384663022 hasBestOaLocation W43846630221 @default.
• W4384663022 hasConcept C105795698 @default.
• W4384663022 hasConcept C111368507 @default.
• W4384663022 hasConcept C127313418 @default.
• W4384663022 hasConcept C127413603 @default.
• W4384663022 hasConcept C142724271 @default.
• W4384663022 hasConcept C162284963 @default.
• W4384663022 hasConcept C165838908 @default.
• W4384663022 hasConcept C177264268 @default.
• W4384663022 hasConcept C184112429 @default.
• W4384663022 hasConcept C18903297 @default.
• W4384663022 hasConcept C199360897 @default.
• W4384663022 hasConcept C204787440 @default.
• W4384663022 hasConcept C21200559 @default.
• W4384663022 hasConcept C24326235 @default.
• W4384663022 hasConcept C33923547 @default.
• W4384663022 hasConcept C39432304 @default.
• W4384663022 hasConcept C41008148 @default.
• W4384663022 hasConcept C44249647 @default.
• W4384663022 hasConcept C49937458 @default.
• W4384663022 hasConcept C68189081 @default.
• W4384663022 hasConcept C71924100 @default.
• W4384663022 hasConcept C86803240 @default.
• W4384663022 hasConceptScore W4384663022C105795698 @default.
• W4384663022 hasConceptScore W4384663022C111368507 @default.
• W4384663022 hasConceptScore W4384663022C127313418 @default.
• W4384663022 hasConceptScore W4384663022C127413603 @default.
• W4384663022 hasConceptScore W4384663022C142724271 @default.
• W4384663022 hasConceptScore W4384663022C162284963 @default.
• W4384663022 hasConceptScore W4384663022C165838908 @default.
• W4384663022 hasConceptScore W4384663022C177264268 @default.
• W4384663022 hasConceptScore W4384663022C184112429 @default.
• W4384663022 hasConceptScore W4384663022C18903297 @default.
• W4384663022 hasConceptScore W4384663022C199360897 @default.
• W4384663022 hasConceptScore W4384663022C204787440 @default.
• W4384663022 hasConceptScore W4384663022C21200559 @default.
• W4384663022 hasConceptScore W4384663022C24326235 @default.

• next