Impact of input data uncertainty on environmental exposure assessment models: A case study for electromagnetic field modelling from mobile phone base stations

2014 ◽  
Vol 135 ◽  
pp. 148-155 ◽  
Author(s):  
Johan Beekhuizen ◽  
Gerard B.M. Heuvelink ◽  
Anke Huss ◽  
Alfred Bürgi ◽  
Hans Kromhout ◽  
...  
2005 ◽  
Vol 39 (8) ◽  
pp. 2711-2718 ◽  
Author(s):  
Karen L. Foster ◽  
Don Mackay ◽  
Thomas F. Parkerton ◽  
Eva Webster ◽  
Lynne Milford

2020 ◽  
pp. 349-370
Author(s):  
Parinya Panuwet ◽  
Priya E. D’Souza ◽  
Emily R. Phillips ◽  
P. Barry Ryan ◽  
Dana Boyd Barr

Author(s):  
Karolina Jagiello ◽  
Tomasz Puzyn

In this chapter, the application of computational techniques in environmental exposure assessment was described. The most important groups of these techniques are Multimedia Mass-balance (MM) modelling and Quantitative Structure-Activity/Structure-Property Relationships (QSAR/QSPR) modelling. Multimedia Mass-balance models have been widely utilized for studying Long-Range Transport Potential (LRTP) and overall persistence (POV) of Persistent Organic Pollutants (POPs), regulated by many national and international acts, including the Stockholm Convention on POPs. Recently, a novel modelling methodology that links QSPR and MM has been implemented. According to this approach, the physical/chemical properties required as the input variables for multimedia modelling can be calculated directly from appropriate QSPR models. QSPR models must be previously developed based on the relationships between the chemical structure and the modelled properties (QSPR).


2017 ◽  
Vol 21 (4) ◽  
pp. 761-773 ◽  
Author(s):  
Theodoros Anagnostopoulos ◽  
Juan Camilo Garcia ◽  
Jorge Goncalves ◽  
Denzil Ferreira ◽  
Simo Hosio ◽  
...  

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