Detailed Information on Publication Record
2010
Soil burdens of persistent organic pollutants. Their levels, fate and risks. Part III. Quantification of the soil burdens and related health risks in the Czech Republic
ČUPR, Pavel, Tomáš BARTOŠ, Milan SÁŇKA, Jana KLÁNOVÁ, Ondřej MIKEŠ et. al.Basic information
Original name
Soil burdens of persistent organic pollutants. Their levels, fate and risks. Part III. Quantification of the soil burdens and related health risks in the Czech Republic
Authors
ČUPR, Pavel (203 Czech Republic, guarantor), Tomáš BARTOŠ (203 Czech Republic), Milan SÁŇKA (203 Czech Republic), Jana KLÁNOVÁ (203 Czech Republic), Ondřej MIKEŠ (203 Czech Republic) and Ivan HOLOUBEK (203 Czech Republic)
Edition
Science of the Total Environment, Elsevier, 2010, 0048-9697
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10511 Environmental sciences
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 3.190
RIV identification code
RIV/00216224:14310/10:00040992
Organization unit
Faculty of Science
UT WoS
000273127000005
Keywords in English
Soil; Persistent organic pollutants; POPs; Burdens; Risk assessment; GIS; Uncertainty
Tags
International impact, Reviewed
Změněno: 31/3/2010 22:01, doc. RNDr. Pavel Čupr, Ph.D.
Abstract
V originále
A total number of 471 soil samples collected during the period of 1996 2006 from the agricultural and forest areas of the Czech Republic were analyzed for their content of persistent organic pollutants (POPs). Spatial variability of the POP concentrations was assessed using an IDW spatial GIS model analysis. For every grid of the network, resulting modeled levels of contamination allowed for estimation of the total burden of POPs in soils. Potential risks associated with contaminated soils were assessed as well. Database of the old ecological burdens counting 3061 sampling sites was used to adjust the model and incorporate the risks of nesvily contaminated sites. The high levels of health risks were only found at less than 1% of the area of interest. The IDW modeling proved to be a useful tool for screening of the health risks in the large areas with scarce monitoring data. Presented approach can be applied in the risk management, to support an efficient targeting of the risk reduction measures, or to improve a design of the national monitoring.
Links
MSM0021622412, plan (intention) |
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SP/1B1/30/07, research and development project |
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