GIS-based modelling to identify regions of Ukraine, Belarus and Russia affected by residues of the Chernobyl nuclear power plant accident

M. Van Der Perk; P.A. Burrough; G. Voigt

doi:10.1016/S0304-3894(98)00111-3

GIS-based modelling to identify regions of Ukraine, Belarus and Russia affected by residues of the Chernobyl nuclear power plant accident

M. Van Der Perk, P.A. Burrough, G. Voigt

GSF-Forschungszentrum fur U.

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Within the framework of the EC-financed RESTORE project (EC DGXII Nuclear Fission Safety Programme), a GIS-based Environmental Decision Support System (EDSS) will be developed to help local authorities identify vulnerable collective units (e.g. settlements, collective farms) having population groups with critical radiocaesium doses. The EDSS will include methods for modelling the spatial and temporal variation of radiocaesium in alluvial and peaty soils through flooding, radiocaesium transfer from different soil types to food products, and the collection and intake of food products by the human population. The spatial models will be written in PCRaster, a raster GIS and dynamic modelling toolkit that includes geostatistical analysis, conditional simulation, and topological modelling.

Original language	English
Pages (from-to)	85-90
Number of pages	6
Journal	Journal of Hazardous Materials
Volume	61
Issue number	1-3
DOIs	https://doi.org/10.1016/S0304-3894(98)00111-3
Publication status	Published - 12 Aug 1998

Keywords

cesium 137
radioisotope
Belarus
Chernobyl accident
conference paper
environmental radioactivity
food contamination
health hazard
information system
nuclear power plant
Russian Federation
soil pollution
Ukraine

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10.1016/S0304-3894(98)00111-3

Cite this

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title = "GIS-based modelling to identify regions of Ukraine, Belarus and Russia affected by residues of the Chernobyl nuclear power plant accident",

abstract = "Within the framework of the EC-financed RESTORE project (EC DGXII Nuclear Fission Safety Programme), a GIS-based Environmental Decision Support System (EDSS) will be developed to help local authorities identify vulnerable collective units (e.g. settlements, collective farms) having population groups with critical radiocaesium doses. The EDSS will include methods for modelling the spatial and temporal variation of radiocaesium in alluvial and peaty soils through flooding, radiocaesium transfer from different soil types to food products, and the collection and intake of food products by the human population. The spatial models will be written in PCRaster, a raster GIS and dynamic modelling toolkit that includes geostatistical analysis, conditional simulation, and topological modelling.",

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author = "{Van Der Perk}, M. and P.A. Burrough and G. Voigt",

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T1 - GIS-based modelling to identify regions of Ukraine, Belarus and Russia affected by residues of the Chernobyl nuclear power plant accident

AU - Van Der Perk, M.

AU - Burrough, P.A.

AU - Voigt, G.

PY - 1998/8/12

Y1 - 1998/8/12

N2 - Within the framework of the EC-financed RESTORE project (EC DGXII Nuclear Fission Safety Programme), a GIS-based Environmental Decision Support System (EDSS) will be developed to help local authorities identify vulnerable collective units (e.g. settlements, collective farms) having population groups with critical radiocaesium doses. The EDSS will include methods for modelling the spatial and temporal variation of radiocaesium in alluvial and peaty soils through flooding, radiocaesium transfer from different soil types to food products, and the collection and intake of food products by the human population. The spatial models will be written in PCRaster, a raster GIS and dynamic modelling toolkit that includes geostatistical analysis, conditional simulation, and topological modelling.

AB - Within the framework of the EC-financed RESTORE project (EC DGXII Nuclear Fission Safety Programme), a GIS-based Environmental Decision Support System (EDSS) will be developed to help local authorities identify vulnerable collective units (e.g. settlements, collective farms) having population groups with critical radiocaesium doses. The EDSS will include methods for modelling the spatial and temporal variation of radiocaesium in alluvial and peaty soils through flooding, radiocaesium transfer from different soil types to food products, and the collection and intake of food products by the human population. The spatial models will be written in PCRaster, a raster GIS and dynamic modelling toolkit that includes geostatistical analysis, conditional simulation, and topological modelling.

KW - cesium 137

KW - radioisotope

KW - Belarus

KW - Chernobyl accident

KW - conference paper

KW - environmental radioactivity

KW - food contamination

KW - health hazard

KW - information system

KW - nuclear power plant

KW - Russian Federation

KW - soil pollution

KW - Ukraine

U2 - 10.1016/S0304-3894(98)00111-3

DO - 10.1016/S0304-3894(98)00111-3

M3 - Article

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VL - 61

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EP - 90

JO - Journal of Hazardous Materials

JF - Journal of Hazardous Materials

IS - 1-3

ER -

GIS-based modelling to identify regions of Ukraine, Belarus and Russia affected by residues of the Chernobyl nuclear power plant accident

Abstract

Keywords

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