Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Computational Techniques Application in Environmental Exposure Assessment

Computational Techniques Application in Environmental Exposure Assessment
View Sample PDF
Author(s): Karolina Jagiello (University of Gdansk, Poland) and Tomasz Puzyn (University of Gdansk, Poland)
Copyright: 2015
Pages: 35
Source title: Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment
Source Author(s)/Editor(s): Kunal Roy (Jadavpur University, India)
DOI: 10.4018/978-1-4666-8136-1.ch012


View Computational Techniques Application in Environmental Exposure Assessment on the publisher's website for pricing and purchasing information.


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).

Related Content

Abderrezak Khelfi. © 2018. 22 pages.
Abderrezak Khelfi. © 2018. 23 pages.
Abderrezak Khelfi. © 2018. 25 pages.
Srushti M. Tambe, Namita D. Desai. © 2018. 29 pages.
Anuradha Singh, Ramendra K. Singh. © 2018. 28 pages.
Mahmoud Balbaa, Doaa Awad. © 2018. 13 pages.
Ishan H. Raval, Arvind Kumar Singh Chandel. © 2018. 18 pages.
Body Bottom