This site has been archived on 18/03/2015
18/03/2015
Logo Home   
    
NoMiracle Internet
Exposure
 
Menu
Exposure
Effects
Risk Assessment and management
 
 
   
TitlePotential useFilterResponsible scientistsFilterRelated to deliverable
Attachment"MIRA"
Tool for making an overall prediction of degradation of chemicals from several different models.
Philip Judson, Lhasa Limited, philip.judson@blubberhouses.net
D.2.4.6
AttachmentCATALOGIC-Soil BioPath
An extension of biodegradation CATALOGIC models enabling predicting biodegradation pathways in soil.
Prof. Ovanes Mekenyan, Ph. D., D. Sci.
Department of Physical Chemistry
Laboratory of Mathematical Chemistry, Head
Bourgas "Prof. As. Zlatarov" University "Yakimov" St. #1 8010 Bourgas Bulgaria
phone: ++359 56 880230 (also personal fax)
++359 56 858343
fax: ++359 56 880249
LMC website:  http://www.oasis-lmc.org/
D.2.3.12
AttachmentElimination Kinetics Model for Earthworms
The model estimates the elimination kinetics of organic chemicals in earthworms explicitly accounting for their metabolic potential.
Prof. Ovanes Mekenyan, Ph. D., D. Sci.
Department of Physical Chemistry
Laboratory of Mathematical Chemistry, Head
Bourgas "Prof. As. Zlatarov" University "Yakimov" St. #1 8010 Bourgas Bulgaria
phone: ++359 56 880230 (also personal fax)
++359 56 858343
fax: ++359 56 880249
LMC website:  http://www.oasis-lmc.org/
D.2.3.12 and D.3.3.4A
Attachment“MAPPE” (Multimedia Assessment of Pollutant Pathways in Europe)
An ArcGIS extension enabling production of maps of chemical distribution in air, soil and water at the European continental scale.
Alberto Pistocchi, JRC-IES, alberto.pistocchi@jrc.europa.eu for scientific issues.
Giovanni Bidoglio, JRC-IES, Giovanni.bidoglio@jrc.ec.europa.eu for conditions of use.
D.2.4.6
AttachmentNested box model
Estimates spatially variable concentrations in Europe.
Mara Hauck, Radboud University Nijmegen, m.hauck@science.ru.nl
Mark Huijbregts, Radboud University Nijmegen, m.huijbregts@science.ru.nl
Anne Hollander, Radboud University Nijmegen, a.hollander@science.ru.nl
Dik van de Meent, Radboud University Nijmegen, National Institute of Public Health and the Environment, dik.van.de.meent@rivm.nl
D 2.4.7, D 2.4.14
AttachmentDiffusive sampling techniques
Diffusive sampling techniques directed at “available exposure”
Organic chemicals: Philipp Mayer, Aarhus University, phm@dmu.dk
Metals: Hao Zhang, Lancaster University, h.zhang@lancaster.ac.uk
WP 2.2
AttachmentWater-Sediment Screening Tool (WSST)
Screening tool to determine biodegradation rates and kinetics of organic chemicals in water-sediment systems.
Thomas Junker, ECT Oekotoxikologie GmbH, D-65439 Flörsheim, Germany, th-junker@ect.de
D.2.3.1, D.2.3.2, D.2.3.7, D.2.3.14, D.2.3.17
AttachmentFragment Model to Prediction the Hydrogen Bond Acceptor Strength
Fragment Model to Prediction the Hydrogen Bond Acceptor Strength
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.1.4, D2.1.18
AttachmentFragment Model to Prediction the Hydrogen Bond Donor Strength
Fragment Model to Prediction the Hydrogen Bond Donor Strength
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.1.4, D.2.1.6, D2.1.18
AttachmentQuantum-Chemical Model to Predict the Hydrogen Bond Donor StrengthQuantum-Chemical Model to Predict the Hydrogen Bond Donor Strength
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.1.5, D.2.1.6, D.2.1.11
AttachmentSemi-Empirical Quantum-Chemical Model to Predict the Hydrogen Bond Acceptor Strength
Semi-Empirical Quantum-Chemical Model to Predict the Hydrogen Bond Acceptor Strength
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.1.5, D.2.1.11
AttachmentValidated Experimental Procedure for the Determination of the Membrane/Water Partition CoefficientValidated Experimental Procedure for the Determination of the Membrane/Water Partition Coefficient
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.1.3
AttachmentLSER (Abraham Type) Equation to Predict the Membrane/Water Partition CoefficientLSER (Abraham Type) Equation to Predict the Membrane/Water Partition Coefficient
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.1.13
AttachmentAb initio Quantum-Chemical Model for Indirect Photolysis OH Rate Predictions
Ab initio Quantum-Chemical Model for Indirect Photolysis OH Rate Predictions
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.3.8, D.2.3.11
AttachmentSemi-Empirical Quantum-Chemical Model for Indirect Photolysis OH Rate Predictions
Semi-Empirical Quantum-Chemical Model for Indirect Photolysis OH Rate Predictions
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.3.8, D.2.3.11
AttachmentAb initio Quantum-Chemical Model to Predict the Hydrogen Bond Acceptor StrengthAb initio Quantum-Chemical Model to Predict the Hydrogen Bond Acceptor Strength
Gerrit Schüürmann, UFZ, gerrit.schuurmann@ufz.de
D.2.1.5, D.2.1.11