About: Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Background concentrations of selected persistent organic pollutants (PCBs, HCB, p,p-DDT including metabolites and PAHs) in soils of the Czech Republic were predicted in this study, and the main factors affecting their geographical distribution were identified. A database containing POP concentrations in 534 soil samples and the set of specific environmental predictors were used for development of a model based on regression trees. Selected predictors addressed specific conditions affecting a behavior of the individual groups of pollutants: a presence of primary and secondary sources, density of human settlement, geographical characteristics and climatic conditions, land use, land cover, and soil properties. The model explained a high portion of variability in relationship between the soil concentrations of selected organic pollutants and available predictors. The validation results confirmed that the model is stable, general and useful for prediction. Background concentrations of selected persistent organic pollutants (PCBs, HCB, p,p-DDT including metabolites and PAHs) in soils of the Czech Republic were predicted in this study, and the main factors affecting their geographical distribution were identified. A database containing POP concentrations in 534 soil samples and the set of specific environmental predictors were used for development of a model based on regression trees. Selected predictors addressed specific conditions affecting a behavior of the individual groups of pollutants: a presence of primary and secondary sources, density of human settlement, geographical characteristics and climatic conditions, land use, land cover, and soil properties. The model explained a high portion of variability in relationship between the soil concentrations of selected organic pollutants and available predictors. The validation results confirmed that the model is stable, general and useful for prediction. (en)
Title	Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees (en)
skos:prefLabel	Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees (en)
skos:notation	RIV/00216224:14310/09:00039152!RIV10-MSM-14310___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021622412)
http://linked.open...iv/cisloPeriodika	24
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Klánová, Jana Dušek, Ladislav Holoubek, Ivan Jarkovský, Jiří Komprdová, Klára Komprda, Jiří Sáňka, Milan Hájek, Ondřej
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	342752
http://linked.open...ai/riv/idVysledku	RIV/00216224:14310/09:00039152
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	POP concentration spatial model soil (en)
http://linked.open.../riv/klicoveSlovo	POP concentration spatial model soil
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[7A8A8AB3F9B7]
http://linked.open...i/riv/nazevZdroje	Environmental Science & Technology
http://linked.open...in/vavai/riv/obor	DN
http://linked.open...ichTvurcuVysledku	8 (xsd:int)
http://linked.open...cetTvurcuVysledku	8 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	43
http://linked.open...iv/tvurceVysledku	Dušek, Ladislav Holoubek, Ivan Hájek, Ondřej Jarkovský, Jiří Klánová, Jana Komprda, Jiří Sáňka, Milan Kubošová, Klára
http://linked.open...n/vavai/riv/zamer	Interactions among the chemicals, environment and biological systems and their consequences on the global, regional and local scales (INCHEMBIOL)
issn	0013-936X
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	14310
is http://linked.open...avai/riv/vysledek of	Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using Regression Trees

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 47 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software