Dose rate estimates and spatial interpolation maps of outdoor gamma dose rate with geostatistical methods; A case study from Artvin, Turkey


Yesilkanat C. M., Kobya Y., TASKIN H., ÇEVİK U.

JOURNAL OF ENVIRONMENTAL RADIOACTIVITY, cilt.150, ss.132-144, 2015 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 150
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.jenvrad.2015.08.011
  • Dergi Adı: JOURNAL OF ENVIRONMENTAL RADIOACTIVITY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.132-144
  • Anahtar Kelimeler: Dose estimation, Outdoor gamma dose rate, Interpolated map, Geostatistic, Artvin, FIRED POWER-PLANT, RADIOACTIVITY CONCENTRATIONS, KRIGING METHOD, SOIL, RADIATION, RISK, RADIONUCLIDES, REGION, AREA
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In this study, compliance of geostatistical estimation methods is compared to ensure investigation and imaging natural Fon radiation using the minimum number of data. Artvin province, which has a quite hilly terrain and wide variety of soil and located in the north-east of Turkey, is selected as the study area. Outdoor gamma dose rate (OGDR), which is an important determinant of environmental radioactivity level, is measured in 204 stations. Spatial structure of OGDR is determined by anisotropic, isotropic and residual variograms. Ordinary kriging (OK) and universal kriging (UK) interpolation estimations were calculated with the help of model parameters obtained from these variograms. In OK, although calculations are made based on positions of points where samples are taken, in the UK technique, general soil groups and altitude values directly affecting OGDR are included in the calculations. When two methods are evaluated based on their performances, it has been determined that UK model (r = 0.88, p < 0.001) gives quite better results than OK model (r = 0.64, p < 0.001). In addition, as a result of the maps created at the end of the study, it was illustrated that local changes are better reflected by UK method compared to OK method and its error variance is found to be lower. (C) 2015 Elsevier Ltd. All rights reserved.