Classification of sites according to gamma radiation levels in ambient air using GIS and data mining techniques
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This work uses the data which represent the measurements of the gamma radiation levels in ambient air from many gamma monitoring stations that are distributed in many sites to classify the regions which cover these sites according to these measurements.
The processes of the classification are: dividing the range of measurements to several intervals, making interpolation for all regions that cover all gamma monitoring stations, representing the interpolation information in the map using geographic information systems technology and finally classifying all the sites on this map according to the determined intervals by using data mining techniques via interpolation information.
Implementation and Importance
This method is implemented for determining the background of gamma radiation levels for many sites in Egypt. This background is necessary for many environmental researches because it is useful for making risk assessment evaluation for any site in Egypt.
The output result from this implementation shows that most sites in Egypt have been classified within three intervals: first interval is from 2.02E−2 to 4.75E−2μSv/h with 47.11% of Egypt area, second interval is from 4.75E−2 to 8.85E−2μSv/h with 40% of Egypt area and third interval is from 8.85E−2 to 1.42E−1μSv/h with 6.82% of Egypt area.
This method is more useful than other traditional methods because the results from this method show that this method saves more effort, time and cost than other methods.
KeywordsGIS Data mining Environmental classification Data modeling
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