Classification of sites according to Gamma radiation levels in ambient air using GIS and Data Mining Techniques.

  • M. Hefnawi
  • A.Y. Abdel- Haseib
Keywords: GIS, Data Mining, Environmental classification, Data Modeling.

Abstract

This work uses the data which represents the measurements of the Gamma
radiation levels in ambient air from many Gamma monitoring stations which 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 (GIS) technology
and final process is classifying all the sites on this map according to the
determined intervals by using data mining techniques via interpolation
information.
This method is implemented for determining the background of Gamma
radiation levels for many sites in Egypt. Because of this background in sometimes
is necessary for many environmental researches. This background 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 which are: first interval is from 2.02E-2 µS/h to 4.75E-2 µS/h with
47.11% of Egypt area, second interval is from 4.75E-2 µS/h to 8.85E-2 µ S/h with
40% of Egypt area and third interval is from 8.85E-2 µS/h to 1.42E-1 µS/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.

Author Biographies

M. Hefnawi

Egyptian Nuclear & Radiological Regulatory Authority,(ENRRA)
Cairo, EGYPT

A.Y. Abdel- Haseib

Egyptian Nuclear & Radiological Regulatory Authority,(ENRRA)
Cairo, EGYPT

References

[1] GRITZNER, J. AND BRUCE MILLETT. 2003B. STREAM FLOW DEFINITIONS: PERENNIAL, INTERMITTENT, AND
EPHEMERAL STREAMS. DEPARTMENT OF GEOGRAPHY, SOUTH DAKOTA STATE UNIVERSITY, DRAFT REPORT.
[2]GRITZNER, J. 2003A. USGS NATIONAL MAPPING PROGRAM STANDARDS FOR STREAM/RIVER FEATURES.
DEPARTMENT OF GEOGRAPHY, SOUTH DAKOTA STATE UNIVERSITY, DRAFT REPORT.
[3]GRITZNER, J. AND BRUCE MILLETT. 2003A. APPROACHES TO STREAM DELINEATION, CLASSIFICATION, AND
CHANGES IN STREAM PROPERTIES. DEPARTMENT OF GEOGRAPHY, SOUTH DAKOTA STATE UNIVERSITY, DRAFT
REPORT.
[4] Peuquet, Donna J., and Niu Duan. "An event-based spatiotemporal data model (ESTDM) for
temporal analysis of geographical data." International journal of geographical information
systems 9.1 (1995): 7-24.‏
[5] Jiang, Bin. "Head/tail breaks: A new classification scheme for data with a heavy-tailed
distribution." The Professional Geographer 65.3 (2013): 482-494.‏
[6] Bergh, Jöran, and Jörgen Löfström. Interpolation spaces: an introduction. Vol. 223. Berlin:
Springer, 1976.‏
[7] Triebel, Hans. "Interpolation theory, function spaces, differential operators." (1978).‏
[8] Spielman, Seth E., and Jean-Claude Thill. "Social area analysis, data mining, and GIS."
Computers, Environment and Urban Systems 32.2 (2008): 110-122.‏
[9] Miller, Harvey J., and Jiawei Han, eds. Geographic data mining and knowledge discovery.
CRC Press, 2009.‏
[10] Li, Deren, and Shuliang Wang. "Spatial data mining and knowledge discovery." Advances in
Spatio-Temporal Analysis 5 (2007): 173.‏
Published
2018-11-30
How to Cite
Hefnawi, M., & Haseib, A. A.-. (2018). Classification of sites according to Gamma radiation levels in ambient air using GIS and Data Mining Techniques. IOJPH - International Open Journal of Applied Science, 1(2), 01-11. Retrieved from http://iojph.com/index.php/as/article/view/12