Academic literature on the topic 'Species sensitivity distributions (SSD)'
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Journal articles on the topic "Species sensitivity distributions (SSD)"
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Oginah, S. A., L. Posthuma, M. Hauschild, and P. Fantke. "Splitting species sensitivity distributions (SSD) to improve accuracy of ecotoxicity results." Toxicology Letters 350 (September 2021): S179—S180. http://dx.doi.org/10.1016/s0378-4274(21)00666-4.
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Kefford, Ben J., Dayanthi Nugegoda, Leon Metzeling, and Elizabeth J. Fields. "Validating species sensitivity distributions using salinity tolerance of riverine macroinvertebrates in the southern Murray–Darling Basin (Victoria, Australia)." Canadian Journal of Fisheries and Aquatic Sciences 63, no. 8 (August 1, 2006): 1865–77. http://dx.doi.org/10.1139/f06-080.
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Species sensitivity distributions (SSDs) are commonly used in risk assessment and in setting water quality guidelines, yet their predictions have not been validated against loss of species with increasing pollutant concentrations in nature. We used a rapid toxicity testing method to determine the acute salinity tolerance (72 h LC50 values (concentration of salinity lethal to 50% of individuals)) of 110 macroinvertebrate taxa from the southern Murray–Darling Basin in central Victoria, Australia, and construct an SSD. This SSD was compared with loss of riverine macro invertebrates species from increasing salinity in Victoria. Macroinvertebrate species richness per individual sample, when salinity was <9.9 mS·cm–1, was invariant of salinity. However, when species richness was calculated across multiple samples above about 0.3–0.5 mS·cm–1, it declined with increasing salinity. This decline was predicted from the SSD after application of a variable safety factor calculated from an exponential or quadratic equation. Our findings confirm that SSDs can predict the loss of freshwater macroinvertebrate species from increases in salinity. This suggests that SSDs may be useful more generally for other aquatic organisms, other stressors, and toxicants.
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Iwasaki, Yuichi, and Kiyan Sorgog. "Estimating species sensitivity distributions on the basis of readily obtainable descriptors and toxicity data for three species of algae, crustaceans, and fish." PeerJ 9 (March 3, 2021): e10981. http://dx.doi.org/10.7717/peerj.10981.
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Estimation of species sensitivity distributions (SSDs) is a crucial approach to predicting ecological risks and water quality benchmarks, but the amount of data required to implement this approach is a serious constraint on the application of SSDs to chemicals for which there are few or no toxicity data. The development of statistical models to directly estimate the mean and standard deviation (SD) of the logarithms of log-normally distributed SSDs has recently been proposed to overcome this problem. To predict these two parameters, we developed multiple linear regression models that included, in addition to readily obtainable descriptors, the mean and SD of the logarithms of the concentrations that are acutely toxic to one algal, one crustacean, and one fish species, as predictors. We hypothesized that use of the three species’ mean and SD would improve the accuracy of the predicted means and SDs of the logarithms of the SSDs. We derived SSDs for 60 chemicals based on quality-assured acute toxicity data. Forty-five of the chemicals were used for model fitting, and 15 for external validation. Our results supported previous findings that models developed on the basis of only descriptors such as log KOW had limited ability to predict the mean and SD of SSD (e.g., r2 = 0.62 and 0.49, respectively). Inclusion of the three species’ mean and SD, in addition to the descriptors, in the models markedly improved the predictions of the means and SDs of SSDs (e.g., r2 = 0.96 and 0.75, respectively). We conclude that use of the three species’ mean and SD is promising for more accurately estimating an SSD and thus the hazardous concentration for 5% of species in cases where limited ecotoxicity data are available.
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Charles, Sandrine, Dan Wu, and Virginie Ducrot. "How to account for the uncertainty from standard toxicity tests in species sensitivity distributions: An example in non-target plants." PLOS ONE 16, no. 1 (January 7, 2021): e0245071. http://dx.doi.org/10.1371/journal.pone.0245071.
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This research proposes new perspectives accounting for the uncertainty on 50% effective rates (ER50) as interval input for species sensitivity distribution (SSD) analyses and evaluating how to include this uncertainty may influence the 5% Hazard Rate (HR5) estimation. We explored various endpoints (survival, emergence, shoot-dry-weight) for non-target plants from seven standard greenhouse studies that used different experimental approaches (vegetative vigour vs. seedling emergence) and applied seven herbicides at different growth stages. Firstly, for each endpoint of each study, a three-parameter log-logistic model was fitted to experimental toxicity test data for each species under a Bayesian framework to get a posterior probability distribution for ER50. Then, in order to account for the uncertainty on the ER50, we explored two censoring criteria to automatically censor ER50 taking the ER50 probability distribution and the range of tested rates into account. Secondly, based on dose-response fitting results and censoring criteria, we considered input ER50 values for SSD analyses in three ways (only point estimates chosen as ER50 medians, interval-censored ER50 based on their 95% credible interval and censored ER50 according to one of the two criteria), by fitting a log-normal distribution under a frequentist framework to get the three corresponding HR5 estimates. We observed that SSD fitted reasonably well when there were at least six distinct intervals for the ER50 values. By comparing the three SSD curves and the three HR5 estimates, we shed new light on the fact that both propagating the uncertainty from the ER50 estimates and including censored data into SSD analyses often leads to smaller point estimates of HR5, which is more conservative in a risk assessment context. In addition, we recommend not to focus solely on the point estimate of the HR5, but also to look at the precision of this estimate as depicted by its 95% confidence interval.
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Park, Jinhee, and Sang Don Kim. "Derivation of Predicted No Effect Concentrations (PNECs) for Heavy Metals in Freshwater Organisms in Korea Using Species Sensitivity Distributions (SSDs)." Minerals 10, no. 8 (August 6, 2020): 697. http://dx.doi.org/10.3390/min10080697.
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Natural and artificial heavy metal exposure to the environment requires finding thresholds to protect aquatic ecosystems from the toxicity of heavy metals. The threshold is commonly called a predicted no effect concentration (PNEC) and is thought to protect most organisms in an ecosystem from a chemical. PNEC is derived by applying a large assessment factor (AF) to the toxicity value of the most sensitive organism to a chemical or by developing a species sensitivity distribution (SSD), which is a cumulative distribution function with many toxicity data for a chemical of diverse organisms. This study developed SSDs and derived PNECs using toxicity data of organisms living in Korea for four heavy metals: copper (Cd), cadmium (Cu), lead (Pb), and zinc (Zn). Five distribution models were considered with log-transformed toxicity data, and their fitness and uncertainty were investigated. As a result, the normal distribution and Gumbel distribution fit the data well. In contrast, the Weibull distribution poorly accounted for the data at the lower tails for all of the heavy metals. The hazardous concentration for 5% of species (HC5) derived from the most suitable model for each heavy metal was calculated to be the preferred PNEC by AF 2 or AF 3. PNECs, obtained through a suitable SSD model with resident species and reasonable AF, will help protect freshwater organisms in Korea from heavy metals.
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Mano, Beatriz, Fátima Jesus, Fernando J. M. Gonçalves, Sónia P. M. Ventura, and Joana Luísa Pereira. "Applicability of heuristic rules defining structure–ecotoxicity relationships of ionic liquids: an integrative assessment using species sensitivity distributions (SSD)." Green Chemistry 22, no. 18 (2020): 6176–86. http://dx.doi.org/10.1039/d0gc02486d.
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Liu, Yuxia, Qixing Zhou, Yi Wang, Siwen Cheng, and Weiduo Hao. "Deriving Soil Quality Criteria of Chromium Based on Species Sensitivity Distribution Methodology." Toxics 9, no. 3 (March 16, 2021): 58. http://dx.doi.org/10.3390/toxics9030058.
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Chromium (Cr) is one of the most severe heavy metal contaminants in soil, and it seriously threatens ecosystems and human health through the food chain. It is fundamental to collect toxicity data of Cr before developing soil quality criteria/standards in order to efficiently prevent health risks. In this work, the short-term toxic effects of Cr(VI) and Cr(III) on the root growth of eleven terrestrial plants were investigated. The corresponding fifth percentile hazardous concentrations (HC5) by the best fitting species sensitivity distribution (SSD) curves based on the tenth percentile effect concentrations (EC10) were determined to be 0.60 and 4.51 mg/kg for Cr (VI) and Cr (III), respectively. Compared to the screening level values worldwide, the HC5 values in this study were higher for Cr(VI) and lower for Cr(III) to some extent. The results provide useful toxicity data for deriving national or local soil quality criteria for trivalent and hexavalent Cr.
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Mu, Yunsong, Fengchang Wu, Cheng Chen, Yuedan Liu, Xiaoli Zhao, Haiqing Liao, and John P. Giesy. "Predicting criteria continuous concentrations of 34 metals or metalloids by use of quantitative ion character-activity relationships–species sensitivity distributions (QICAR–SSD) model." Environmental Pollution 188 (May 2014): 50–55. http://dx.doi.org/10.1016/j.envpol.2014.01.011.
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Liu, Wen-Xiu, Wei He, Ning Qin, Xiang-Zhen Kong, Qi-Shuang He, Hui-Ling Ouyang, Bin Yang, et al. "Residues, Distributions, Sources, and Ecological Risks of OCPs in the Water from Lake Chaohu, China." Scientific World Journal 2012 (2012): 1–16. http://dx.doi.org/10.1100/2012/897697.
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The levels of 18 organochlorine pesticides (OCPs) in the water from Lake Chaohu were measured by a solid phase extraction-gas chromatography-mass spectrometer detector. The spatial and temporal distribution, possible sources, and potential ecological risks of the OCPs were analyzed. The annual mean concentration for the OCPs in Lake Chaohu was 6.99 ng/L. Aldrin, HCHs, and DDTs accounted for large proportions of the OCPs. The spatial pollution followed the order of Central Lakes > Western Lakes > Eastern Lakes and water area. The sources of the HCHs were mainly from the historical usage of lindane. DDTs were degraded under aerobic conditions, and the main sources were from the use of technical DDTs. The ecological risks of 5 OCPs were assessed by the species sensitivity distribution (SSD) method in the order of heptachlor > γ-HCH > p,p′-DDT > aldrin > endrin. The combining risks of all sampling sites were MS > JC > ZM > TX, and those of different species were crustaceans > fish > insects and spiders. Overall, the ecological risks of OCP contaminants on aquatic animals were very low.
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Xu, Fu-Liu, Yi-Long Li, Yin Wang, Wei He, Xiang-Zhen Kong, Ning Qin, Wen-Xiu Liu, Wen-Jing Wu, and Sven Erik Jorgensen. "Key issues for the development and application of the species sensitivity distribution (SSD) model for ecological risk assessment." Ecological Indicators 54 (July 2015): 227–37. http://dx.doi.org/10.1016/j.ecolind.2015.02.001.
Full textDissertations / Theses on the topic "Species sensitivity distributions (SSD)"
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Kon, Kam King Guillaume. "Revisiting Species Sensitivity Distribution : modelling species variability for the protection of communities." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10194/document.
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La SSD (Species Sensitivity Distribution) est une méthode utilisée par les scientifiques et les régulateurs de tous les pays pour fixer la concentration sans danger de divers contaminants sources de stress pour l'environnement. Bien que fort répandue, cette approche souffre de diverses faiblesses sur le plan méthodologique, notamment parce qu'elle repose sur une utilisation partielle des données expérimentales. Cette thèse revisite la SSD actuelle en tentant de pallier ce défaut. Dans une première partie, nous présentons une méthodologie pour la prise en compte des données censurées dans la SSD et un outil web permettant d'appliquer cette méthode simplement. Dans une deuxième partie, nous proposons de modéliser l'ensemble de l'information présente dans les données expérimentales pour décrire la réponse d'une communauté exposée à un contaminant. A cet effet, nous développons une approche hiérarchique dans un paradigme bayésien. A partir d'un jeu de données décrivant l'effet de pesticides sur la croissance de diatomées, nous montrons l'intérêt de la méthode dans le cadre de l'appréciation des risques, de par sa prise en compte de la variabilité et de l'incertitude. Dans une troisième partie, nous proposons d'étendre cette approche hiérarchique pour la prise en compte de la dimension temporelle de la réponse. L'objectif de ce développement est d'affranchir autant que possible l'appréciation des risques de sa dépendance à la date de la dernière observation afin d'arriver à une description fine de son évolution et permettre une extrapolation. Cette approche est mise en œuvre à partir d'un modèle toxico-dynamique pour décrire des données d'effet de la salinité sur la survie d'espèces d'eau douceSpecies Sensitivity Distribution (SSD) is a method used by scientists and regulators from all over the world to determine the safe concentration for various contaminants stressing the environment. Although ubiquitous, this approach suffers from numerous methodological flaws, notably because it is based on incomplete use of experimental data. This thesis revisits classical SSD, attempting to overcome this shortcoming. First, we present a methodology to include censored data in SSD with a web-tool to apply it easily. Second, we propose to model all the information present in the experimental data to describe the response of a community exposed to a contaminant. To this aim, we develop a hierarchical model within a Bayesian framework. On a dataset describing the effect of pesticides on diatom growth, we illustrate how this method, accounting for variability as well as uncertainty, provides benefits to risk assessment. Third, we extend this hierarchical approach to include the temporal dimension of the community response. The objective of that development is to remove the dependence of risk assessment on the date of the last experimental observation in order to build a precise description of its time evolution and to extrapolate to longer times. This approach is build on a toxico-dynamic model and illustrated on a dataset describing the salinity tolerance of freshwater species
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Dixon, William J., and bill dixon@dse vic gov au. "Uncertainty in Aquatic Toxicological Exposure-Effect Models: the Toxicity of 2,4-Dichlorophenoxyacetic Acid and 4-Chlorophenol to Daphnia carinata." RMIT University. Biotechnology and Environmental Biology, 2005. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070119.163720.
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Uncertainty is pervasive in risk assessment. In ecotoxicological risk assessments, it arises from such sources as a lack of data, the simplification and abstraction of complex situations, and ambiguities in assessment endpoints (Burgman 2005; Suter 1993). When evaluating and managing risks, uncertainty needs to be explicitly considered in order to avoid erroneous decisions and to be able to make statements about the confidence that we can place in risk estimates. Although informative, previous approaches to dealing with uncertainty in ecotoxicological modelling have been found to be limited, inconsistent and often based on assumptions that may be false (Ferson & Ginzburg 1996; Suter 1998; Suter et al. 2002; van der Hoeven 2004; van Straalen 2002a; Verdonck et al. 2003a). In this thesis a Generalised Linear Modelling approach is proposed as an alternative, congruous framework for the analysis and prediction of a wide range of ecotoxicological effects. This approach was used to investigate the results of toxicity experiments on the effect of 2,4-Dichlorophenoxyacetic Acid (2,4-D) formulations and 4-Chlorophenol (4-CP, an associated breakdown product) on Daphnia carinata. Differences between frequentist Maximum Likelihood (ML) and Bayesian Markov-Chain Monte-Carlo (MCMC) approaches to statistical reasoning and model estimation were also investigated. These approaches are inferentially disparate and place different emphasis on aleatory and epistemic uncertainty (O'Hagan 2004). Bayesian MCMC and Probability Bounds Analysis methods for propagating uncertainty in risk models are also compared for the first time. For simple models, Bayesian and frequentist approaches to Generalised Linear Model (GLM) estimation were found to produce very similar results when non-informative prior distributions were used for the Bayesian models. Potency estimates and regression parameters were found to be similar for identical models, signifying that Bayesian MCMC techniques are at least a suitable and objective replacement for frequentist ML for the analysis of exposureresponse data. Applications of these techniques demonstrated that Amicide formulations of 2,4-D are more toxic to Daphnia than their unformulated, Technical Acid parent. Different results were obtained from Bayesian MCMC and ML methods when more complex models and data structures were considered. In the analysis of 4-CP toxicity, the treatment of 2 different factors as fixed or random in standard and Mixed-Effect models was found to affect variance estimates to the degree that different conclusions would be drawn from the same model, fit to the same data. Associated discrepancies in the treatment of overdispersion between ML and Bayesian MCMC analyses were also found to affect results. Bayesian MCMC techniques were found to be superior to the ML ones employed for the analysis of complex models because they enabled the correct formulation of hierarchical (nested) datastructures within a binomial logistic GLM. Application of these techniques to the analysis of results from 4-CP toxicity testing on two strains of Daphnia carinata found that between-experiment variability was greater than that within-experiments or between-strains. Perhaps surprisingly, this indicated that long-term laboratory culture had not significantly affected the sensitivity of one strain when compared to cultures of another strain that had recently been established from field populations. The results from this analysis highlighted the need for repetition of experiments, proper model formulation in complex analyses and careful consideration of the effects of pooling data on characterising variability and uncertainty. The GLM framework was used to develop three dimensional surface models of the effects of different length pulse exposures, and subsequent delayed toxicity, of 4-CP on Daphnia. These models described the relationship between exposure duration and intensity (concentration) on toxicity, and were constructed for both pulse and delayed effects. Statistical analysis of these models found that significant delayed effects occurred following the full range of pulse exposure durations, and that both exposure duration and intensity interacted significantly and concurrently with the delayed effect. These results indicated that failure to consider delayed toxicity could lead to significant underestimation of the effects of pulse exposure, and therefore increase uncertainty in risk assessments. A number of new approaches to modelling ecotoxicological risk and to propagating uncertainty were also developed and applied in this thesis. In the first of these, a method for describing and propagating uncertainty in conventional Species Sensitivity Distribution (SSD) models was described. This utilised Probability Bounds Analysis to construct a nonparametric 'probability box' on an SSD based on EC05 estimates and their confidence intervals. Predictions from this uncertain SSD and the confidence interval extrapolation methods described by Aldenberg and colleagues (2000; 2002a) were compared. It was found that the extrapolation techniques underestimated the width of uncertainty (confidence) intervals by 63% and the upper bound by 65%, when compared to the Probability Bounds (P3 Bounds) approach, which was based on actual confidence estimates derived from the original data. An alternative approach to formulating ecotoxicological risk modelling was also proposed and was based on a Binomial GLM. In this formulation, the model is first fit to the available data in order to derive mean and uncertainty estimates for the parameters. This 'uncertain' GLM model is then used to predict the risk of effect from possible or observed exposure distributions. This risk is described as a whole distribution, with a central tendency and uncertainty bounds derived from the original data and the exposure distribution (if this is also 'uncertain'). Bayesian and P-Bounds approaches to propagating uncertainty in this model were compared using an example of the risk of exposure to a hypothetical (uncertain) distribution of 4-CP for the two Daphnia strains studied. This comparison found that the Bayesian and P-Bounds approaches produced very similar mean and uncertainty estimates, with the P-bounds intervals always being wider than the Bayesian ones. This difference is due to the different methods for dealing with dependencies between model parameters by the two approaches, and is confirmation that the P-bounds approach is better suited to situations where data and knowledge are scarce. The advantages of the Bayesian risk assessment and uncertainty propagation method developed are that it allows calculation of the likelihood of any effect occurring, not just the (probability)bounds, and that the same software (WinBugs) and model construction may be used to fit regression models and predict risks simultaneously. The GLM risk modelling approaches developed here are able to explain a wide range of response shapes (including hormesis) and underlying (non-normal) distributions, and do not involve expression of the exposure-response as a probability distribution, hence solving a number of problems found with previous formulations of ecotoxicological risk. The approaches developed can also be easily extended to describe communities, include modifying factors, mixed-effects, population growth, carrying capacity and a range of other variables of interest in ecotoxicological risk assessments. While the lack of data on the toxicological effects of chemicals is the most significant source of uncertainty in ecotoxicological risk assessments today, methods such as those described here can assist by quantifying that uncertainty so that it can be communicated to stakeholders and decision makers. As new information becomes available, these techniques can be used to develop more complex models that will help to bridge the gap between the bioassay and the ecosystem.
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Fourie, Frana. "Evaluation of the suitability of responses on various organisational levels in terrestrial Oligochaeta to determine species sensitivity relationships." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/6906.
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Thesis (PhD)--Stellenbosch University, 2011.ENGLISH ABSTRACT: Species differ in their sensitivities to toxicants and these differences are exploited in ecological risk assessment methods such as species sensitivity distributions (SSDs). The most commonly used endpoints for ecotoxicity testing and thus to generate data for use in SSDs are on the whole-organismal level, and usually include the evaluation of survival and reproduction. However, suborganismal biomarker responses are in many instances more sensitive than these whole-organismal responses. Therefore, this study investigated and compared responses on various biological organisational levels to determine their suitability for use in SSDs. Five terrestrial oligochaete species (earthworms) were selected as model test organisms, and were exposed to a range of concentrations of a well-studied pesticide, copper oxychloride. The investigated responses included survival, biomass change and reproduction on the whole-organismal level. In order to investigate responses on the suborganismal level, cells (coelomocytes) were extracted non-invasively. The spectrophotometric neutral red retention (NRR) assay was used to determine cell survival and the MTT assay to determine mitochondrial metabolic activity of the coelomocytes. The alkaline single cell gel electrophoresis (comet) assay was used to assess DNA integrity in these cells. The amount of Cu taken up by earthworms was also determined and compared to their responses. Species differences were observed in all responses, and EC50 and EC10 values were calculated for the whole-organismal endpoints and used to generate SSDs. From these SSDs, the hazardous concentrations where 5% of all species would be detrimentally affected (HC5) were calculated, which indicated that the most sensitive whole-organismal endpoint was mass change, followed by reproduction and survival. It was found that earthworms avoided feeding on the contaminated substrate in high copper oxychloride concentration exposures. The concentration where this behaviour occurred could be estimated for each species, and an SSD was constructed with these data. The HC5 value indicated that this response is more sensitive than earthworm survival, but less sensitive than the other responses. It was shown that the earthworms regulated their body Cu concentrations in a species-specific manner. This regulation of Cu was reflected in the suborganismal responses, and the species that had taken up the highest amount of Cu was the most sensitive species for all three suborganismal assays. Due to this regulation of Cu, the resulting dose-responses for the suborganismal endpoints did not allow for the calculation of EC50 values in most of the species and such data could thus not be used to generate SSDs. Sufficient EC10 values were however generated to construct SSDs from the results of the NRR and comet assays. The HC5 values obtained from SSDs constructed with EC10 values for both suborganismal and whole-organismal endpoints indicated that the NRR assay was the most sensitive endpoint, followed by both the comet assay and earthworm mass change, and subsequently the other whole-organismal endpoints. In conclusion, the majority of the responses on the various levels of biological organisation investigated during the present study were shown to be suitable to determine species sensitivity relationships in the terrestrial oligochaete species studied.
AFRIKAANSE OPSOMMING: Spesies verskil van mekaar ten opsigte van hulle sensitiwiteit vir toksikante, en hierdie verskille word in ekologiese risikobepalingsmetodes soos spesie-sensitiwiteitsverspreidings (SSVs) gebruik. Die mees algemene eindpunte vir ekotoksisiteitstoetse, en wat dus gebruik word om data te genereer vir SSVs, is op die heelorganismevlak, en sluit gewoonlik die bepaling van oorlewing en voortplanting van die toetsorganismes in. Hierdie eindpunte is egter in die meeste gevalle minder sensitief as suborganismiese biomerker-response. Hierdie studie het dus die response op verskeie vlakke van biologiese organisasie ondersoek en vergelyk om te bepaal of hulle geskik is vir gebruik in SSVs. Vyf terrestriële spesies van die klas Oligochaeta is gekies as toetsorganismes en is blootgestel aan 'n reeks konsentrasies van die goed bestudeerde pestisied koperoksichloried. Die response oorlewing, massaverandering en voortplanting is op die heelorganismevlak ondersoek. Vir die suborganismiese response is selle (selomosiete) met behulp van 'n nie-ingrypende proses vanuit die erdwurms geïsoleer. Die suborganismese toetse wat op hierdie selle gedoen is, was die neutraalrooi-retensietoets (NRR toets) om sel-oorlewing te bepaal, die MTT toets om mitochondriese metabolisme te bepaal en die alkaliese komeettoets om DNS-integriteit te bepaal. Die hoeveelheid Cu wat die erdwurms opgeneem het, is ook bepaal en met hulle response vergelyk. Verskille is tussen die spesies waargeneem vir al die response. Beide EK50 en EK10 waardes is bereken vir die heelorganismiese eindpunte om SSVs te genereer. Vanaf hierdie SSVs kon die gevaarlike konsenstrasie, waar 5% van alle spesies nadelig beïnvloed kan word (GK5), bereken word. Hierdie GK5 waardes het aangedui dat massaverandering die mees sensitiewe heelorganismiese eindpunt was, gevolg deur voortplanting en oorlewing. Die erdwurms het opgehou vreet aan die gekontamineerde substraat by hoë koperoskichloriedkonsentrasies. Die konsentrasie waar hierdie gedrag plaasgevind het kon vir elke spesie vasgestel word, en 'n SSV is met behulp van hierdie data genereer. Hierdie GK5 waarde het aangedui dat hierdie respons meer sensitief was as oorlewing, maar minder sensitief as die ander response. Die erdwurms kon die konsentrasie van Cu in hulle liggame op 'n spesie-spesifieke manier reguleer. Hierdie regulering van interne Cu is weerspieël in die suborganismiese response, waar die spesie wat die meeste Cu opgeneem het, ook die mees sensitiewe was vir al drie suborganismiese toetse. As gevolg van hierdie regulering van Cu en die gevolglike dosis-responsverhoudings, kon EK50-waardes nie vir al die spesies bereken word nie, en dus was daar geen EK50-data beskikbaar om SSVs mee te genereer nie. Genoegsame EK10 waardes kon egter bereken word vir die NRR- en komeettoetse, en gebruik word om SSVs te genereer. Die GK5-waardes wat bereken kon word vanuit die SSVs met EK10 waardes vir beide suborganismese en heelorganismiese response, het aangedui dat die mees sensitiewe eindpunt die NRR toets was, gevolg deur beide die komeettoets en massaverandering van erdwurms, en daarna die ander heelorganismiese eindpunte. Die gevolgtrekking is dat daar aangetoon kon word dat die meerderheid van die response wat gedurende hierdie studie ondersoek is, geskik is om sensitwiteitsverhoudings van hierdie groep spesies te bepaal.
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Santos, Liliana Raquel Assunção. "Avaliação de risco ambiental de pesticidas para ecossistemas aquáticos - representatividade das espécies padrão de invertebrados." Master's thesis, ISA/UTL, 2012. http://hdl.handle.net/10400.5/5331.
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Mestrado em Engenharia do Ambiente - Gestão Ambiental - Instituto Superior de AgronomiaWith the main aim of verifying whether Daphnia magna is sufficient for the evaluation of the environmental risk of pesticides to aquatic ecosystems, toxicity values of 218 insecticides were analyzed. For each one the relative tolerance (Trel) value was calculated to compare the sensitivity of species from different taxonomic groups with that of D. magna. The taxonomic groups were grouped in arthropods, non-arthropod invertebrates, fish, algae/macrophytes and based on Trel values the species sensitivity distribution (SSD) were defined. For the arthropods the influence of the mode of action (MOA) on vulnerability to the insecticide was also analyzed. Still in the arthropods group, for each species, the class, order and family they belong to were identified. To check the necessity of inclusion of a second species studies of relationship were performed, between D. magna, Americamysis bahia and Chironomus riparius. As far as the SSD curves are concerned, for the different groups the most sensitive one was the arthropods group in both values of EC50 and NOEC. Taking into consideration MOA the group of neonicotinoids was the most sensitive one in EC50 case and the GABA – gated chloride channel antagonists in NOEC. The most sensitive taxonomical group was Mysida and it was the combination of Daphnia plus A. Bahia that generated the greater percentage of protection.
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Oliveira, Rhaul. "Effects assessment of chemicals used in aquaculture." Doctoral thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/16297.
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Doutoramento em BiologiaAquaculture provides food and income for millions of families worldwide being an activity with a high growth rate and with a strong potential for further expansion. Both producers and consumers are interested in a sustainable model of aquaculture development covering social, economic and environmental aspects. Such model implies to cope with the environmental impacts generated by aquacultures. The main objective of this work was to evaluate the use of chemicals applied in aquaculture farms and their harmful effects to aquatic organisms. Since more than 80% of global production of aquatic organisms is concentrated in Southwest Asia, special attention was given to the aquaculture in this region, particularly Thailand. Three different types of aquaculture scenarios were studied: shrimp farms and tilapia farms in cages and in earth ponds. Surveys and monitoring campaigns were conducted in several farms and the fate, use and application patterns of chemicals were identified. In cage farms the results indicated overuse/misuse of antibiotics, in shrimp farms the major group of chemicals used were disinfectants whereas in earth pond farms 1,7α-methyltestosterone (MT) was the most used. The results from the monitoring campaigns showed that the excessive use of chemicals was correlated to contamination of the surrounding environment namely with the antibiotics oxytetracycline (OTC) and enrofloxacin (ENR) in the cage farms, and with MT in the earth pond farms. In the laboratory, ecotoxicity assays were performed with antibiotics, disinfectants and pesticides using organisms belonging to different trophic levels. The disinfectants benzalkonium chloride (BKC), chlorhexidine gluconate (ChD) and glutaraldehyde (GA) were tested. BKC and ChD demonstrated to be very toxic to primary and secondary consumers. Moreover, an approach based on the species sensitivity distributions (SSD) was used to estimate the hazardous concentrations for 5 and 50 % of the species after BKC and GA exposure highlighting the sensitivity of primary producers to BKC exposure (HC5 = 10.8 μg/l). In the case of GA, different trophic levels showed similar sensitivities and a general HC5 = 300 μg/l was obtained. Additionally, a probabilistic environmental risk assessment was performed indicating a PAF (potentially affected fraction) of species > 5% for adverse effects of BKC in effluents and surface water. Concerning pesticides, both trichlorfon (TCF) and ivermectin (IVM) were studied. TCF showed to be extremely toxic to daphnids (48h- LC50 = 0.29 μg/l) and affected the acetilcolinesterase activity in D. magna and D rerio. IVM showed to be acutely toxic to D. rerio life stages (96h-LC50 = 18.5 μg/l for juveniles) and affected their development and biomarkers. In chronic exposures, IVM led to changes in the behaviour and growth of D. rerio juveniles (21d-LOEC < 0.25 μg/l). The antibiotics amoxicillin and OTC were not acutely toxic to aquatic organisms but both induced oxidative stress related enzymes of adults and embryos of D. rerio. Globally, most of the tested chemicals showed to compromise at least a particular group of organisms or sub-lethal parameters, requiring further long term studies so that the environmental risk assessment of these compounds can be refined. Lethal and sub lethal effects obtained to non-target organisms suggest a potential biodiversity loss in the aquatic ecosystems which might, thus, compromise the services provided by the ecosystems in a near future. Since the aquaculture relies directly on these services (e.g. high water quality) to succeed, there is an urgent need of control/education measures both in the use of chemicals in aquaculture and monitoring/mitigation of adverse impacts in natural ecosystems.
A aquacultura fornece sustento para milhões de famílias, sendo uma actividade em crescimento e com um forte potencial de expansão em todo o mundo. Há um interesse por parte de produtores e consumidores em desenvolver modelos sustentáveis de aquacultura abrangendo aspectos sociais, económicos e ambientais. Tais modelos implicam lidar com os impactos ambientais gerados pela aquacultura. O principal objectivo deste trabalho foi estudar o uso de produtos químicos usados nas aquaculturas e avaliar os seus efeitos nocivos para organismos aquáticos. Uma vez que mais de 80% da produção mundial de organismos aquáticos está concentrada no sudoeste da Ásia, foi dada especial atenção à aquacultura nessa região, particularmente na Tailândia. Três diferentes cenários foram considerados: aquaculturas de camarão, aquaculturas de tilápias cultivadas em gaiolas e em tanques escavados no solo. Em cada tipo foram realizados inquéritos e campanhas de monitoramento em várias aquaculturas nas quais foram averiguados o uso, destino e forma de aplicação de químicos. Os resultados indicaram o uso excessivo/inapropriado de alguns compostos, nomeadamente de antibióticos (em aquaculturas em gaiolas), de desinfectantes (em aquaculturas de camarão) e de 1,7α-metiltestosterona (MT) (em aquacultura de tilápias em tanques escavados). Os resultados das campanhas de monitorização mostraram que o uso excessivo de produtos químicos resulta na contaminação do meio ambiente com antibióticos (oxitetraciclina (OTC) e enrofloxacina (ENR)) nas aquaculturas em gaiola, e com MT nas aquaculturas de tilápias em tanques escavados. No laboratório, foram realizados ensaios de ecotoxicidade com antibióticos, desinfectantes e pesticidas usando organismos modelo pertencentes a diferentes níveis tróficos. Foram testados os desinfectantes, cloreto de benzalcónio (BKC), gluconato de clorexidina, e glutaraldeído (GA) sendo que os dois primeiros demonstraram ser muito tóxico para consumidores primários e secundários. Para uma análise integrada foi utilizada uma abordagem baseada nas distribuições de sensibilidade das espécies (DSE) com a qual se estimaram as concentrações perigosas (CP) para 5% e 50% das espécies após e exposição ao BKC e GA. O grupo dos produtores primários foi o grupo mais sensível à exposição ao BKC com CP5% = 10,8 μg/l enquanto para GA não foram encontradas diferenças de sensibilidade entre os grupos tróficos e, assim sendo, um valor geral de CP5% = 300 μg/l foi obtido. Além disso, uma análise probabilística dos riscos ambientais indicou uma fracção de espécies potencialmente afectada (FAPE) pelo BKC > 5% em efluentes e águas superficiais. Os pesticidas estudados foram o trichlorfon (TCF) e a ivermectina (IVM). O TCF foi extremamente tóxico para dafnídeos (48h-LC50 = 0,29 μg/l) e afectou também a actividade de acetilcolinesterase em D. magna e D. rerio. A IVM foi tóxica para adultos, juvenis e embriões de D. rerio (96h- CL50 = 18,5 μg/l para os juvenis) afectando o seu desenvolvimento e actividade de biomarcadores. Em exposições crónicas, IVM causou alterações no comportamento e crescimento em D. rerio juvenis (21d-LOEC <0,25 μg/l). Os antibióticos amoxicilina e OTC apresentam baixa toxidade para os organismos aquáticos, mas ambos induziram enzimas relacionadas estresse oxidativo em adultos e embriões de D. rerio. Em geral, a maioria dos químicos testados apresentaram toxicidade para algum grupo de organismo da cadeia trófica ou tiveram efeito a nível de parâmetros sub-letais, sendo portanto recomendados estudos de exposição crónica para que se possa refinar a avaliação de risco ambiental destes compostos. Os efeitos letais e sub-letais observados nos organismos não-alvo sugerem que pode haver uma perda da biodiversidade nos ecossistemas aquáticos, e assim, comprometer os serviços prestados pelos ecossistemas num futuro próximo. Sendo o sucesso da aquacultura dependente directo destes serviços (por exemplo, água de alta qualidade), há uma necessidade urgente de medidas de controlo/educação, tanto no uso de produtos químicos na aquacultura e monitoramento/mitigação dos impactos negativos destes nos ecossistemas naturais.
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Caetano, Ana Luísa Neto. "Derivation of soil screening values for metals in Portuguese natural soil." Doctoral thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13764.
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Doutoramento em BiologiaThe increasing human activity has been responsible by profound changes and a constinuos degradation of the soil compartment in all the European territory. Some European policies are appearing focusing soil’s protection and the management of contaminated sites, in order to recover land for other uses. To regulate the risk assessment and the management of contaminated soils, many European member states adopted soil guideline values, as for example soil screnning values (SSV).These values are particularly useful for the the first tier of the Ecological Risk Assessment (ERA) processes of contaminated sites,especially for a first screening of sites requiring a more site-specific evaluation. Hence, the approriate definition of regional SSVs will have relevant economic impacts in the management of contaminated sites. Portugal is one of European Member States that still lack these soil guideline values. In this context, this study gaves a remarkable contribution in the generation of ecotoxicological data for soil microbiological parameters, terrestrial plants and invertebrates for the derivation of SSVs for uranium (U), cadmium (Cd) and copper (Cu), using a Portuguese natural soil, representative of a dominant type of soil in the Portuguese territory. SSVs were derived based on two methods proposed by the the Technical Guidance Document for Risk Assessment of the European Commission; namely the assessment factor method (AF) and the species sensitivity distribution (SSD) method (with some adaptations). The outputs of both methods were compared and discussed. Further, this study laid the foundation for a deeper reflection about the cut-off (hazard concentration for a given percentage of species - HCps) to be estimated from the SSDs, and to be selected for the derivation of SSVs, with the adequate level of protection. It was proven that this selection may vary for different contaminants, however a clear justification should be given, in each case. The SSvs proposed in this study were for: U (151.4 mg U kg-1dw), Cd (5.6 mg Cd kg-1dw), and Cu (58.5 mg Cu kg-1dw) These values should now be tested for their descriminating power of soils with different levels of contamination. However, this studies clarifies the approach that should be followed for the derivation of SSVs for other metals and organic contaminants, and for other dominant types of Portuguese natural soils.
O aumento das atividades humanas tem sido responsável por mudanças profundas e por uma degradação contínua do compartimento solo, em todo o território Europeu. Em resposta a este problema, algumas políticas Europeias estão agora a emergir orientadas especificamente para a proteção do solo e para a gestão das áreas contaminadas, a fim de recuperar os solos degradados para outros usos. Para regulamentar a avaliação de risco e a gestão de solos contaminados, muitos Estados-Membros Europeus adoptaram valores de qualidade do solo, como por exemplo os “valores de rastreio ou triagem” (do inglês: soil screening values ou SSVs). Estes valores são particularmente úteis para a primeira etapa dos processos de avaliação de risco ecológico (ARE) de locais contaminados, especialmente para um primeiro rastreio dos locais, destinado a separar aqueles em que os riscos são claramente reduzidos daqueles que exigem uma avaliação mais específica e aprofundada para o local. Assim, a definição de SSVs regionais terá impactos económicos relevantes na gestão dos locais contaminados. Portugal é um dos Estados-Membros Europeus que ainda não definiu SSVs. Neste contexto, este estudo dá uma notável contribuição na geração de dados ecotoxicológicos para parâmetros microbiológicos do solo, plantas terrestres e invertebrados necessários para a obtenção de SSVs para urânio (U), cádmio (Cd) e cobre (Cu), utilizando um solo natural Português, representante de um tipo dominante de solo existente no território nacional. Assim, foram obtidos SSVs para os metais referidos com base em dois métodos propostos pelo Documento de Orientação Técnica para Avaliação de Riscos da Comissão Europeia, nomeadamente o método dos factores de avaliação (do inglês: assessment factors ou AF) e o método probabilístico da distribuição da sensibilidade espécies (do inglês: species sensitivity distributions ou SSDs) (com algumas adaptações). Os resultados dos dois métodos foram comparados e discutidos. Além disso, este estudo lançou as bases para uma reflexão mais profunda sobre o ponto de corte (concentração de risco para uma determinada percentagem de espécies) a ser estimado a partir das distribuições de sensibilidade das espécies (SSDs), e para ser selecionado para a obtenção de SSVs, com o nível adequado de proteção. Neste estudo foi comprovado que esta seleção pode variar para diferentes metais ou outros contaminantes, no entanto, uma justificação clara deve ser dada, em cada caso. Os SSvs propostos neste estudo foram de: U (151,4 mg U kg- 1ms ), Cd (5,6 mg Cd kg- 1ms ) e Cu ( 58,5 mg Cu kg- 1 ms) Estes valores devem agora ser testados quanto à sua capacidade para descriminar solos com diferentes níveis de contaminação. No entanto, este estudo esclarece e sugere a abordagem que deve ser seguida para a derivação de SSVs para outros metais e contaminantes orgânicos, e para outros tipos dominantes de solos naturais portugueses.
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"Application of species sensitivity distributions in assessing the aquatic toxicity hazard of nano-gold." Thesis, 2015. http://hdl.handle.net/10210/13842.
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M.Sc. (Zoology)The production of nanoparticles started as early as 1990s (Alkilany & Murphy, 2010). Nanoparticles are utilised in a range of products such as electronics, optics, textiles, medical, devices, cosmetics, food packaging, water treatment technology, fuel cells, catalysts, biosensors and agents for environmental remediation (Handy et al., 2008). Unlike natural particles, which dissolve or aggregate and are often temporary in the environment, engineered nanoparticles (ENPs) maybe persistent due to the stabilization properties of their capping agent (surfactant or organic material). Thus, there is growing concern about the production and fate of ENPs in the environment (Handy et al., 2008).As ENPs pass through the water system they become exposed to different salinities, ionic concentrations and pH changes (Lapresta-Fernández et al., 2012). During this process the ENPs are degraded, transported, altered and accumulated in various ways. Nanoparticles have been found to aggregate in various organelles, for example endocytotic vesicles (Elsaesser & Howard, 2011; Lapresta-Fernández et al., 2012), cytoplasm and the perinuclear region (Mirkin et al., 2010). This can take place via ingestion, endocytosis and or by diffusion (Nowack & Bucheli, 2007). The major question is are NPs toxic and are they more toxic than their metal salts? While bulk gold is distinguished as a chemically inert and a non-toxic substance, (Alkilany & Murphy, 2010) GNPs may be toxic due to their different physicochemical properties such as small particle size, configuration, charge and specific surface area and easy surface alterations (Cho et al., 2009; Goodman et al., 2004; Lapresta-Fernández et al., 2012)...
Books on the topic "Species sensitivity distributions (SSD)"
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Species Sensitivity Distributions in Ecotoxicology. CRC, 2001.
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Leo, Posthuma, Suter Glenn W, and Traas Theo P, eds. Species sensitivity distributions in ecotoxicology. Boca Raton, Fla: Lewis Publishers, 2002.
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Young, Craig M., Shawn M. Arellano, Jean-François Hamel, and Annie Mercier, eds. Ecology and Evolution of Larval Dispersal in the Deep Sea. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0016.
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The importance of larval dispersal in the deep ocean is generally acknowledged in studies of genetic connectivity, conservation, and population ecology, but our understanding of the underlying reproductive, developmental, and oceanographic processes remains rudimentary. Recent efforts at modeling deep-sea dispersal have generally taken the form of sensitivity analyses, because biological parameters for the models are lacking. In this review, what is known about the evolution of biological parameters that may influence dispersal times, depth distributions, and trajectories, including modes of development, vertical ontogenetic migration, are examined, as well as the ecological release from predators enabling slower developmental rates and longer dispersal times. Phylogenetic constraints are important in many groups, yet there are modifications in larval form, developmental mode, egg flotation, parental investment, and reproductive timing that appear to be unique to the deep sea and that influence dispersal. For instance, larval duration in certain taxa is longer in the deep-water species than in many shallow-water relatives.
Book chapters on the topic "Species sensitivity distributions (SSD)"
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Posthuma, Leo, and Glenn W. Suter. "Ecological Risk Assessment of Diffuse and Local Soil Contamination Using Species Sensitivity Distributions." In Dealing with Contaminated Sites, 625–91. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9757-6_14.
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Liu, Yuedan, Fengchang Wu, Yunsong Mu, Chenglian Feng, Yixiang Fang, Lulu Chen, and John P. Giesy. "Setting Water Quality Criteria in China: Approaches for Developing Species Sensitivity Distributions for Metals and Metalloids." In Reviews of Environmental Contamination and Toxicology, 35–57. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04411-8_2.
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He, Wei, Fu-Liu Xu, Ning Qin, and Xiang-Zhen Kong. "Development of species sensitivity distribution (SSD) models for setting up the management priority with water quality criteria of toxic chemicals." In Developments in Environmental Modelling, 163–87. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-444-63536-5.00007-7.
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Posthuma, L., and D. de Zwart. "Species Sensitivity Distributions." In Encyclopedia of Toxicology, 363–68. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-386454-3.00580-7.
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"Species Sensitivity Distributions." In Statistical Analysis of Ecotoxicity Studies, 293–308. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119488798.ch12.
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van Straalen, Nico, and Cornelis van Leeuwen. "European History of Species Sensitivity Distributions." In Environmental and Ecological Risk Assessment. CRC Press, 2001. http://dx.doi.org/10.1201/9781420032314.ch3.
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Posthuma, Leo, Theo Traas, and Glenn Suter. "General Introduction to Species Sensitivity Distributions." In Environmental and Ecological Risk Assessment. CRC Press, 2001. http://dx.doi.org/10.1201/9781420032314.sec1.
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de Zwart, Dick. "Observed Regularities in Species Sensitivity Distributions for Aquatic Species." In Environmental and Ecological Risk Assessment. CRC Press, 2001. http://dx.doi.org/10.1201/9781420032314.ch8.
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Suter, Glenn. "North American History of Species Sensitivity Distributions." In Environmental and Ecological Risk Assessment. CRC Press, 2001. http://dx.doi.org/10.1201/9781420032314.ch2.
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Newman, Michael, David Ownby, Laurent Mézin, David Powell, Tyler Christensen, Scott Lerberg, Britt-Anne Anderson, and Tiruponithura Padma. "Species Sensitivity Distributions In Ecological Risk Assessment." In Environmental and Ecological Risk Assessment. CRC Press, 2001. http://dx.doi.org/10.1201/9781420032314.ch7.
Full textConference papers on the topic "Species sensitivity distributions (SSD)"
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Yang, Bing, Jinlin He, and Yajie Wang. "Risk Assessment of Reservoir Hg Pollution in Guizhou Province Based on Species Sensitivity Distribution (SSD)." In ICIMTECH 21: The Sixth International Conference on Information Management and Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3465631.3465889.
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Ciffroy, P. "Methods for calculating PNECs using species sensitivity distribution (SSD) with various hypothesis on the way to handle ecotoxicity data." In ENVIRONMENTAL HEALTH RISK 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/ehr070251.
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ZHANG, Liangmao, Caidi WEI, and Mingwei SONG. "Comparison of Biota Species Sensitivity Distributions to Nonylphenol in China and the United States." In International Conference on Biological Engineering and Pharmacy 2016 (BEP 2016). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/bep-16.2017.54.
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Boeckman, Chad. "Use of species sensitivity distributions in the characterization of risk of novel insecticidal proteins to non-target organisms." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.107854.
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Weisheng Guan, Jianjun Yang, and Ping Lu. "Study on water quality criteria of Endocrine disrupting chemicals in Weihe River based on species sensitivity distributions theory." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893217.
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Shaffer, Brendan, and Jacob Brouwer. "Dynamic Model for Understanding Spatial Temperature and Species Distributions in Internal-Reforming Solid Oxide Fuel Cells." In ASME 2009 7th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2009. http://dx.doi.org/10.1115/fuelcell2009-85095.
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Direct internal reformation of methane in solid oxide fuel cells (SOFCs) leads to two major performance and longevity challenges: thermal stresses in the cell due to large temperature gradients and coke formation on the anode. A simplified quasi-two-dimensional direct internal reformation SOFC (DIR-SOFC) dynamic model was developed for investigation of the effects of various parameters and assumptions on the temperature gradients across the cell. The model consists of 64 nodes each of which contains four control volumes: the positive electrode, electrolyte, negative electrode (PEN); interconnect; anode gas; and cathode gas. Within each node the corresponding conservation, chemical, and electrochemical reaction equations are solved. The model simulates the counterflow configuration since previous research [8] has shown this configuration to yield the smallest temperature differentials. Steady state simulations revealed several results where the temperature difference across the cell was considerably affected by operating and cell design parameters. Increasing the performance of the cell through modifications to the electrochemical model to simulate modern cell performance produced significant changes in the cell temperature differential. Improved cell performance led to a maximum increase in the temperature differential across the cell of 31 K. An increase in the interconnect thickness also exhibits a considerable reduction in the temperature difference across the PEN. In particular, increasing the interconnect thickness from 3.5 to 4.5 mm can achieve about a 50 K reduction in the cross cell temperature difference. Variation of other physical parameters such as the thermal conductivity of the interconnect and the rib width also showed an effect on the temperature distribution. The sensitivity of temperature distribution to the adiabatic assumption was also performed and results showed a considerable effect near the fuel and air inlets. This resulted in severe temperature gradients approaching 160 K/cm.
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Al-Rifai, Saja H., Cheng-Xian Lin, Brian T. Bohan, and Marc D. Polanka. "A Numerical Sensitivity Study of Modeling Parameters in the Combustion of a Swirler." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59392.
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Abstract In this study, a sensitivity analysis based on Reynolds Averaged Navier-Stokes (RANS) equations has been conducted to model the reacting turbulent flow in a swirler used in a (Disk-Oriented) gas-turbine using propane-air mixture. Several popular turbulence models and combustion models have been compared at different equivalence ratios. The effects of simulation parameters such as turbulence intensity, TKE Prandtl number, Schmidt number, and gravity direction have been studied. The contour plots of the species mass fraction (H2, OH) and temperature distributions from the CFD results are compared against the experimental visual results. The results showed that the realizable k-ε model and the steady diffusion flamelet model (SDF) are more suitable to model the turbulence combustion in the swirl domain. The computations further showed that the TKE Prandtl number and gravity are sensitive parameters to model the combustion from the swirler, while the Schmidt number and turbulence intensity showed less sensitivity.