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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-21 20:57 |
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Conference: Bucharest University Faculty of Physics 2008 Meeting
Section: Atmosphere and Earth Science; Environment Protection
Title:
Methodologies for diagnosing pollution of soils
Authors:
C. Mic(1,2), I.C.Vasiliu(1), M.Elisa(1), S. Stefan(2)
Affiliation:
(1)National Institute R&D Optoelectronics INOE 2000, P.O. Box MG-5, Magurele, 77125, Romania
(2)Faculty of Physics (University of Bucharest), Magurele, Romania
E-mail
cristi_mlc@yahoo.com
Keywords:
soil pollutants, diagnose methodologies, semi-quantitative information
Abstract:
Sediments and soils are the solid components of aquatic and terrestrial ecosystems which serve as sources and sinks for nutrients and toxic chemicals. A change of activities within a site (e.g. from industrial to urban use), requires accurate diagnoses of existing pollutants in that site`s soil with the aim to implement appropriate, low cost remediation strategies with the highest possible guarantees. Along with the development of highly sensitive measuring means the social demands for pollution diagnostics evolved from simple qualitative information to the absolute need for at least semi-quantitative information about as many elements and compounds as possible, as well as additional data about chemical structures and the availability of toxic species.
Our present work reviews the evaluation of the analytical requirements for pollution diagnostics of soils in connection with the corresponding screening methodologies, like for instance multicomponent analysis in environmental samples by means of techniques able to rapidly determine as many compounds as possible in order to provide a detailed picture of the contamination level of a site. A comparison of those techniques is made, with emphasis on their advantages and drawbacks as related to specific pollutants evaluation. Also, since the main challenge in obtaining fast and reliable analytical results in organic pollutant determinations is implementing appropriate extraction routes, we refer to the development of robust and fast clean-up procedures that are suitable for application to complex matrices.
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