scholarly journals Using Information on Uncertainty to Improve Environmental Fate Modeling: A Case Study on DDT

2009 ◽  
Vol 43 (1) ◽  
pp. 128-134 ◽  
Author(s):  
Urs Schenker ◽  
Martin Scheringer ◽  
Michael D. Sohn ◽  
Randy L. Maddalena ◽  
Thomas E. McKone ◽  
...  
Keyword(s):  
Environmental Fate ◽  
Environmental Fate Modeling

scholarly journals Environmental Fate Modeling of Nanoplastics in a Salinity Gradient Using a Lab-on-a-Chip: Where Does the Nanoscale Fraction of Plastic Debris Accumulate?

2021 ◽  
Vol 55 (5) ◽  
pp. 3001-3008
Author(s):  
Zélie Venel ◽  
Hervé Tabuteau ◽  
Alice Pradel ◽  
Pierre-Yves Pascal ◽  
Bruno Grassl ◽  
...  
Keyword(s):  
Environmental Fate ◽  
Salinity Gradient ◽  
Lab On A Chip ◽  
Plastic Debris ◽  
Environmental Fate Modeling

Perfluorinated Compounds’ Analysis, Environmental Fate and Occurrence: The Llobregat River as Case Study

2012 ◽  
pp. 193-237 ◽  
Author(s):  
Marta Llorca ◽  
Francisca Pérez ◽  
Marinella Farré ◽  
Yolanda Picó ◽  
Damià Barceló
Keyword(s):  
Environmental Fate ◽  
Perfluorinated Compounds ◽  
Llobregat River

Addressing the complexity of water chemistry in environmental fate modeling for engineered nanoparticles

2015 ◽  
Vol 535 ◽  
pp. 150-159 ◽  
Author(s):  
Nicole Sani-Kast ◽  
Martin Scheringer ◽  
Danielle Slomberg ◽  
Jérôme Labille ◽  
Antonia Praetorius ◽  
...  
Keyword(s):  
Water Chemistry ◽  
Environmental Fate ◽  
Engineered Nanoparticles ◽  
Environmental Fate Modeling

The Environmental Fate of Agro-Chemicals: A Case Study in the Mae Sa Noi Watershed

2008 ◽  
pp. 54-67
Author(s):  
Holger Ciglasch ◽  
Julia Busche ◽  
Peter Ballarin ◽  
Christopher E. Tarn ◽  
Wulf Amelung ◽  
...  
Keyword(s):  
Environmental Fate

Importance of Applicability Domain of QSAR Models

2015 ◽  
pp. 180-211 ◽  
Author(s):  
Kunal Roy ◽  
Supratik Kar
Keyword(s):  
Environmental Fate ◽  
Interpolation Space ◽  
Model Development ◽  
Qsar Model ◽  
Quantitative Structure Activity Relationship ◽  
Applicability Domain ◽  
Property Prediction ◽  
Qsar Models ◽  
Environmental Fate Modeling

Quantitative Structure-Activity Relationship (QSAR) models have manifold applications in drug discovery, environmental fate modeling, risk assessment, and property prediction of chemicals and pharmaceuticals. One of the principles recommended by the Organization of Economic Co-operation and Development (OECD) for model validation requires defining the Applicability Domain (AD) for QSAR models, which allows one to estimate the uncertainty in the prediction of a compound based on how similar it is to the training compounds, which are used in the model development. The AD is a significant tool to build a reliable QSAR model, which is generally limited in use to query chemicals structurally similar to the training compounds. Thus, characterization of interpolation space is significant in defining the AD. An attempt is made in this chapter to address the important concepts and methodology of the AD as well as criteria for estimating AD through training set interpolation in the descriptor space.

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