Resuspension and redistribution of radionuclides during grassland and forest fires in the Chernobyl exclusion zone: part II. Modeling the transport process.
To predict parameters of radionuclide resuspension, transport and deposition during forest and grassland fires, several model modules were developed and adapted. Experimental data of controlled burning of prepared experimental plots in the Chernobyl exclusion zone have been used to evaluate the prognostic power of the models. The predicted trajectories and elevations of the plume match with those visually observed during the fire experiments in the grassland and forest sites. Experimentally determined parameters could be successfully used for the calculation of the initial plume parameters which provide the tools for the description of various fire scenarios and enable prognostic calculations. In summary, the model predicts a release of some per thousand from the radionuclide inventory of the fuel material by the grassland fires. During the forest fire, up to 4% of (137)Cs and (90)Sr and up to 1% of the Pu isotopes can be released from the forest litter according to the model calculations. However, these results depend on the parameters of the fire events. In general, the modeling results are in good accordance with the experimental data. Therefore, the considered models were successfully validated and can be recommended for the assessment of the resuspension and redistribution of radionuclides during grassland and forest fires in contaminated territories.
Ukrainian Institute of Agricultural Radiology (UIAR), Mashinobudivnykiv str.7, Chabany Kyiv-Svjatoshin distr, Kyiv region 08162, Ukraine. vasyl@uiar.kiev.ua
V I
VI
Yoschenko
V A
VA
Kashparov
S E
SE
Levchuk
A S
AS
Glukhovskiy
Yu V
YV
Khomutinin
V P
VP
Protsak
S M
SM
Lundin
J
J
Tschiersch
D000818:Animals; D002588:Cesium Radioisotopes / Q000032:analysis; D047852:Chernobyl Nuclear Accident; D004781:Environmental Exposure / Q000032:analysis*; D005390:Fires; D006801:Humans; D008954:Models, Biological; D011005:Plutonium / Q000032:analysis; D006109:Poaceae; D011848:Radioactive Pollutants / Q000032:analysis*; D011868:Radioisotopes / Q000032:analysis*; D018570:Risk Assessment; D013324:Strontium / Q000032:analysis; D014197:Trees
D002588:Cesium Radioisotopes; D011848:Radioactive Pollutants; D011868:Radioisotopes; D011005:Plutonium; D013324:Strontium