Edition
Bologna, Italy, Book of abstracts; TIES 2009 – the 20th Annual Conference of The International Environmetrics Society, a Section of the ISI and GRASPA Conference 2009, 2009
V originále
The goal of this study was to calculate volatilization fluxes of selected POPs (HCB, PCB) from the area of the Czech Republic during years 2006-7. Stochastic model based on statistical analysis (regression trees) of available data from monitoring in combination with environmental parameters (organic carbon content, land cover, land use…) was used for prediction of the POPs concentration map in the area of the CR. Main sources of monitoring data were Basal monitoring of agricultural soils conducted by CISTA, Basal monitoring of soils in protected areas conducted by ANCLP, projects conducted by RECETOX in various spatial scales and the Czech Hydrometeorological Institute as a source of temperature data. Spatially resolved deterministic model based on fugacity approach was created for calculation of volatilization fluxes and total amount of pollutants being volatilized was predicted. Effects of environmental temperature changes and variation of organic carbon content in soil were included in the model.
In Czech
Cílem studie bylo kvantifikovat vytěkávací toky vybraných POPs (HCB, PCB) z území České republiky v průběhu let 2006-7. Statistický model založený na regresních stromech, používající data z monitoringu půd v kombinaci s environmentálními parametry (obsah organického uhlíku, typ půdy, vegetace..) byl použit tvorbě koncentrační mapy půd pro území ČR. Hlavními poskytovateli podkladových dat byli UKZUZ, AOPK, RECETOX a ČHMÚ. Vytvořený prostorový deterministický model založený na fugacitním přístupu byl použit k predikci vytěkávacích toků POPs. Do modelu byly zahrnuty vlivy teploty a obsahu organického uhlíku v půdě.
In English
The goal of this study was to calculate volatilization fluxes of selected POPs (HCB, PCB) from the area of the Czech Republic during years 2006-7. Stochastic model based on statistical analysis (regression trees) of available data from monitoring in combination with environmental parameters (organic carbon content, land cover, land use…) was used for prediction of the POPs concentration map in the area of the CR. Main sources of monitoring data were Basal monitoring of agricultural soils conducted by CISTA, Basal monitoring of soils in protected areas conducted by ANCLP, projects conducted by RECETOX in various spatial scales and the Czech Hydrometeorological Institute as a source of temperature data. Spatially resolved deterministic model based on fugacity approach was created for calculation of volatilization fluxes and total amount of pollutants being volatilized was predicted. Effects of environmental temperature changes and variation of organic carbon content in soil were included in the model.