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Model environment

Wynn (1992, 1993) have presented sliort-eut studies of solids proeess flowslieet-ing. Custom-written software to solve the model equations has been used by a number of authors. It has also been proposed that symbolie manipulation paekages, like Mathematiea, ean be used to solve the population balanee equations as a stand-alone modelling environment or as a set of modules to be linked to a generie proeess simulation paekage sueh as SPEEDUP (Hounslow, 1989 Sheikh and Jones, 1996). [Pg.278]

Matthies M, Berding V, Beyer A (2004) Probabilistic uncertainty analysis of the European union system for the evaluation of substances multimedia regional distribution model. Environ Toxicol Chem 3(10) 2494—2502... [Pg.227]

Duirk SE, TW Collette (2006) Degradation of chlopyrifos in aqueous chlorine solutions pathways, kinetics, and modeling. Environ Sci Technol 40 546-551. [Pg.40]

Kamens R, M Jang, K Leach (1999) Aerosol formation from the reaction of a-pinene and ozone using a gas-phase-kinetics-aerosol partitioning model. Environ Sci Technol 33 1430-1438. [Pg.43]

Wolfe M, Norman D. 1998a. Effects of waterborne mercury on terrestrial wildlife at Clear Lake Evaluation and testing of a predictive model. Environ Toxicol Chem 17 214-227. [Pg.188]

Sabljia, A., On the prediction of soil sorption coefficients of organic pollutants from molecular structure application of molecular topology model, Environ. Sci. Technol., 21, 358-366, 1987. [Pg.854]

Distribution of organic chemicals among environmental compartments can be defined in terms of simple equilibrium expressions. Partition coefficients between water and air, water and soil, and water and biota can be combined to construct model environments which can provide a framework for preliminary evaluation of expected environmental behavior. This approach is particularly useful when little data is available since partition coefficients can be estimated with reasonable accuracy from correlations between properties. In addition to identifying those environmental compartments in which a chemical is likely to reside, which can aid in directing future research, these types of models can provide a base for more elaborate kinetic models. [Pg.105]

Angle CR, Marcus A, Cheng I-H, et al. 1984. Omaha childhood blood lead and environmental lead A linear total exposure model. Environ Res 35 160-170. [Pg.487]

Hoffer BJ, Olson L, Palmer MR. 1987. Toxic effects of lead in the developing nervous system Inoculo experimental models. Environ Health Perspect 74 169-175. [Pg.533]

Johnson AC, Temes T, Williams RJ, Sumpter JP (2008) Assessing the concentrations of polar organic microcontaminants from point sources in the aquatic environment measure or model Environ Sci Technol 42(15) 5390-5399... [Pg.44]

Vijayaraghavan K, Snell HE, Seigneur C (2008) Practical aspects of using satellite data in air quality modeling. Environ Sci Technol 42(22) 8187-8192... [Pg.46]

Mackay D, Paterson S (1991) Evaluating the multimedia fate of organic chemicals a level III fugacity model. Environ Sci Technol 25 427-436... [Pg.67]

Fenner K, Scheringer M, Hungerbuhler K (2000) Persistence of parent compounds and transformation products in a level IV multimedia model. Environ Sci Technol 34(17) ... [Pg.68]

Renner R (1995) Predicting chemical risks with multimedia fate models. Environ Sci Technol... [Pg.69]

Mackay D, Di Guardo A, Paterson S, Cowan CE (1996) Evaluating the environmental fate of a variety of types of chemicals using the EQC model. Environ Toxicol Chem 15 1627-1637... [Pg.69]

Wania F, McLachlan MS (2001) Estimating the influence of forests on the overall fate of semivolatile organic compounds using a multimedia fate model. Environ Sci Technol 35(3) 582-590... [Pg.69]

Zhu D, Pignatello J (2005) Characterization of aromatic compound sorptive interactions with black carbon (charcoal) assisted by graphite as a model. Environ Sci Technol 39 2033-2041... [Pg.143]

Leip A, Lammel G (2004) Indicators for persistence and long-range transport potential as derived from multicompartment chemistrytransport modelling. Environ Poll 128 205-221 Lin SJ, Rood RB (1996) Multidimensional flux form semi-Lagrangian transport. Mon Wea Rev 124 2046-2068... [Pg.100]

Chin, Y.-R, Weber, Jr., W.J. (1989) Estimating the effects of dispersed organic polymers on the sorption contaminants by natural solid, 1. A predictive thermodynamic humic substance-organic solute interaction model. Environ. Sci. Technol. 23, 978-984. [Pg.902]

Riederer, M.(1990) Estimating partitioning and transport of organic chemicals in the foliage/atmosphere system Discussion of a fugacity-based model. Environ. Sci. Technol. 24, 829-837. [Pg.914]

Winget, P., Cramer, C.J., Truhlar, D.G. (2000) Prediction of soil sorption coefficients using a universal solvation model. Environ. Sci. Technol. 34, 4733 1740. [Pg.918]

Comoretto L, Arfib B, Talva R et al (2008) Runoff of pesticides from rice fields in the lie de Camargue (Rhone river delta, France) field study and modeling. Environ Pollut 151 486—493... [Pg.274]

Kimber, I. et al., Assessment of protein allergenicity on the basis of immune reactivity animal models,. Environ. Health Perspect., Ill, 1125, 2003. [Pg.33]

Knippels, L.M. and Penninks, A.H., Assessment of the allergic potential of food protein extracts and proteins on oral application using the brown Norway rat model, Environ. Health Perspect., 11, 233, 2003. [Pg.76]

Electrostatically-controlled pre-association interactions have an important effect on rates for [Pd(dien)Cl]+ reacting with thione-containing nucleosides, nucleotides and oligonucleotides, as is often the case for reactions between metal complexes and this type of biological ligand. Interaction between the charged complex and the polyanionic oligonucleotide surface leads to an increase in both enthalpy and entropy of activation in the DNA or model environment (252). [Pg.106]

Escher, B. I., Schwarzenbach, R. P. and Westall, J. C. (2000). Evaluation of liposome-water partitioning of organic acids and bases 1. Development of a sorption model, Environ. Sci. Technol., 34, 3954-3961. [Pg.263]

Alsop, D. H. and Wood, C. M. (2000). Kinetic analysis of zinc accumulation in the gills of juvenile rainbow trout effects of zinc acclimatation and implications for biotic ligand modeling, Environ. Toxicol. Chem., 19, 1911-1918. [Pg.526]

Hassler, C. S., Slaveykova, V. I. and Wilkinson, K. J. (2004). Some fundamental (and often overlooked) considerations underlying the free ion activity and biotic ligand models, Environ. Toxicol. Chem., in press. [Pg.530]


See other pages where Model environment is mentioned: [Pg.721]    [Pg.260]    [Pg.264]    [Pg.293]    [Pg.110]    [Pg.718]    [Pg.64]    [Pg.17]    [Pg.52]    [Pg.201]    [Pg.257]    [Pg.521]    [Pg.531]   
See also in sourсe #XX -- [ Pg.7 ]

See also in sourсe #XX -- [ Pg.178 ]




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Environment modeling

Environment modeling

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Equilibrium models, assessments environment

Exposure Modeling of Nanomaterials in the Environment

Integrated performance modelling environment

Lake environment model

Micromixing models multi-environment

Modeling Fate and Transport of Chemicals in the Environment

Multi-environment conditional PDF models

Multi-environment model

Multi-environment presumed PDF models

Organic chemicals model world’ environment

PLANT MODELING ENVIRONMENT (CAPE-MODE)

The man-vehicle-road-environment model

Three-environment model

Two-environment model

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