Relevant bibliographies by topics / Species sensitivity distributions (SSD)

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Academic literature on the topic 'Species sensitivity distributions (SSD)'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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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 i
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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,
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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-parame
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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
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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 c
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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 o
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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.

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Dissertations / 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 SS
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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 b
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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.<br>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 co
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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 Agronomia<br>With 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 d
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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 Biologia<br>Aquaculture 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
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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 Biologia<br>The 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
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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)<br>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
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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 d
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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.

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Conference 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); interconne
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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 ar
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