Abstract
The Cumulative Ordinary Kriging (COK) interpolation method has been proposed for the spatial prediction of atmospheric radioactive fallout in any given region. COK is built on the Ordinary Kriging and Cumulative Semivariogram methods and combines all their advantages to achieve statistically significant results. It is verified in this paper the reliability of the results from COK with other well-known Modified Shepard’s Method (MSM), Inverse Distance Square (INDSQ), Polynomial Regression (PR), Natural Neighbour (NN), Radial Basis (RB), and Kriging Method interpolation methods. The model is tested in detail and in every possible way in two and three dimensions and applied to real-time Cs-134 and Cs-137 radioactive fallout data from the Chernobyl and Fukushima reactor accidents by combining both experimental and theoretical results. The results obtained from the applications for all interpolation methods are included in the supplementary materials section at the end of the article for the benefit of the readers. COK can also be used for spatial modelling of any particle at micro or macro scale. It can contribute significantly to environmental quality, ecological, and human health.
Similar content being viewed by others
Data availability
The data sets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
We confirm that we have given due consideration to the protection of intellectual property associated with this work and that there are no impediments to publication, including the timing of publication, with respect to intellectual property. In so doing, we confirm that we have followed the regulations of our institutions concerning intellectual property.
References
Anh V, Duc H, Shannon I (1997) Spatial variability of Sydney air quality by cumulative semivariogram. Atmos Environ 31:4073–4080. https://doi.org/10.1016/S1352-2310(97)00287-2
Arimoto R, Webb JL, Conley M (2005) Radioactive contamination of atmospheric dust over southeastern New Mexico. Atmos Environ 39:4745–4754. https://doi.org/10.1016/j.atmosenv.2005.04.022
Bilgiç E, Gündüz O (2021) Analysis of the impact of various vertical release patterns on the atmospheric dispersion and total deposition of 137Cs from Chernobyl Nuclear Power Plant accident. Environ Sci Pollut Res 28:66864–66887. https://doi.org/10.1007/s11356-021-15211-8
Bilici S, Bilici A, Külahcı F (2019) Transport modeling of 137Cs in soil after Fukushima Dai-Ichi Nuclear Power Plant accident by point cumulative semi-variogram method. Environmental Earth Sciences 78https://doi.org/10.1007/s12665-019-8232-1
Brusseau ML (1994) Transport of reactive contaminants in heterogeneous porous media. Rev Geophys 32:285–313. https://doi.org/10.1029/94RG00624
Carlson RE, Foley TA (1992) Interpolation of track data with radial basis methods. Comput Math Appl 24:27–34. https://doi.org/10.1016/0898-1221(92)90169-I
Christl M, Casacuberta N, Vockenhuber C et al (2015) Reconstruction of the 236U input function for the Northeast Atlantic Ocean: implications for 129I/236U and 236U/238U-based tracer ages. Journal of Geophysical Research: Oceans 120:7282–7299. https://doi.org/10.1002/2015JC011116
Chu F (2004) Forecasting Tourism Demand : a Cubic Polynomial Approach 25:209–218. https://doi.org/10.1016/S0261-5177(03)00086-4
Clark I (1979) Practical geostatistics. Applied Science Publishers, London
Cressie N (1990) The origins of kriging. Math Geol 22:239–252. https://doi.org/10.1007/BF00889887
Dautermann T, Calais E, Haase J, Garrison J (2007) Investigation of ionospheric electron content variations before earthquakes in southern California, 2003-2004. Journal of Geophysical Research: Solid Earth 112https://doi.org/10.1029/2006JB004447
Davis JCSR (2002) Statistics and data analysis in geology. John Wiley & Sons Ltd, New York
Ding D, Zhang Z, Lei Z et al (2016) Remediation of radiocesium-contaminated liquid waste, soil, and ash: a mini review since the Fukushima Daiichi Nuclear Power Plant accident. Environ Sci Pollut Res 23:2249–2263. https://doi.org/10.1007/s11356-015-5825-4
Diodato N, Ceccarelli M (2005) Geographical information systems and geostatistics for modelling radioactively contaminated land areas. Nat Hazards 35:229–242. https://doi.org/10.1007/s11069-004-5206-7
Draper NR SH (2014) Applied regression analysis. John Wiley & Sons, Ltd
Franke R, Nielson G (1980) Smooth interpolation of large sets of scattered data. Int J Numer Meth Eng 15:1691–1704
Garnero, G., Godone D (2013) Comparisons between different interpolation techniques. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL–5:27–28
Gavrilescu M, Pavel LV, Cretescu I (2009) Characterization and remediation of soils contaminated with uranium. J Hazard Mater 163:475–510. https://doi.org/10.1016/j.jhazmat.2008.07.103
Grezio A, Babeyko A, Baptista MA et al (2017) Probabilistic tsunami hazard analysis: multiple sources and global applications. Rev Geophys 55:1158–1198. https://doi.org/10.1002/2017RG000579
Herod MN, Suchy M, Cornett RJ et al (2015) The atmospheric transport of iodine-129 from Fukushima to British Columbia, Canada and its deposition and transport into groundwater. Water Resour Res 51:9628–9645. https://doi.org/10.1002/2015WR017325
Ilyas M, Brierley CM, Guillas S (2017) Uncertainty in regional temperatures inferred from sparse global observations: application to a probabilistic classification of El Niño. Geophys Res Lett 44:9068–9074. https://doi.org/10.1002/2017GL074596
Isaaks EHSR (1989) Applied geostatistics. Oxford University Press, New York
Ismaeel A, Aba A, Al-Shammari H et al (2020) Activity size distributions of radioactive airborne particles in an arid environment: a case study of Kuwait. Environ Sci Pollut Res 27:33032–33041. https://doi.org/10.1007/s11356-020-09367-y
Joshi SR, Shukla BS (1991) The role of the water/soil distribution coefficient in the watershed transport of environmental radionuclides. Earth Planet Sci Lett 105:314–318. https://doi.org/10.1016/0012-821X(91)90139-9
Journel AGHC (1978) Mining geostatistics. Academic Press
Kakimov A, Yessimbekov Z, Kakimova Z et al (2016) Cs-137 in milk, vegetation, soil, and water near the former Soviet Union’s Semipalatinsk Nuclear Test Site. Environ Sci Pollut Res 23:4931–4937. https://doi.org/10.1007/s11356-015-5741-7
Kato M, Okada Y, Hirai S et al (2016) Comparative analysis of distributions of radioactive cesium and potassium and stable cesium, potassium, and strontium in brown rice grains contaminated with radioactive materials released by the Fukushima Daiichi Nuclear Power Plant accident. J Radioanal Nucl Chem 310:247–252. https://doi.org/10.1007/s10967-016-4824-3
Kerminen V-M (2010) Atmospheric ions and nucleation: a review of observations. Atmospheric Chemistry and Physics Discussions 10:24245–24324. https://doi.org/10.5194/acpd-10-24245-2010
Kocabas I, Bulbul M (2015) Modeling solute/contaminant transport in heterogeneous aquifers. Environ Sci Pollut Res 22:3298–3313. https://doi.org/10.1007/s11356-014-3827-2
Krige D (1951) A statistical approach to some basic mine valuation problems on the Witwatersrand. J South Afr Inst Min Metall 52:119–139
Külahcı F, (2011) A risk analysis model for radioactive wastes. Journal of Hazardous Materials
Külahcı F, Bilici A (2019) Advances on identification and animated simulations of radioactivity risk levels after Fukushima Nuclear Power Plant accident (with a data bank): a critical review. Journal of Radioanalytical and Nuclear Chemistry 321https://doi.org/10.1007/s10967-019-06559-w
Külahcı F, Çiçek Ş (2019) On the determination of transportation, range and distribution characteristics of Uranium-238, Thorium-232 and Potassium-40: a critical review. Environmental Earth Sciences 78https://doi.org/10.1007/s12665-019-8736-8
Külahcı F, (2016) Spatiotemporal (four-dimensional) modeling and simulation of uranium (238) in Hazar Lake (Turkey) water. Environmental Earth Scienceshttps://doi.org/10.1007/s12665-016-5302-5
Külahcı F, Şen Z (2014) On the correction of spatial and statistical ucertainties in systematic measurements of 222Rn for earthquake prediction. Surv Geophys 35:449–478. https://doi.org/10.1007/s10712-013-9273-8
Külahcı F, Şen Z, Kazanç S (2008) Cesium concentration spatial distribution modeling by point cumulative semivariogram. Water Air Soil Pollut 195:151–160. https://doi.org/10.1007/s11270-008-9734-8
Le H, Liu L, Liu JY et al (2013) The ionospheric anomalies prior to the M9.0 Tohoku-Oki earthquake. J Asian Earth Sci 62:476–484. https://doi.org/10.1016/j.jseaes.2012.10.034
Le Roux G, Duffa C, Vray F, Renaud P (2010) Deposition of artificial radionuclides from atmospheric Nuclear Weapon Tests estimated by soil inventories in French areas low-impacted by Chernobyl. J Environ Radioact 101:211–218. https://doi.org/10.1016/j.jenvrad.2009.10.010
Matheron G (1963) Principles of geostatistics. Econ Geol 58:1246–1266. https://doi.org/10.2113/gsecongeo.58.8.1246
MEXT JMoE (2021) Culture, sports, science and technology MEXT, Japan Ministry of Education, Culture, Sports, Science and Technology. http:%5C%5Cradioactivity.mext.go.jp
Miyake Y, Saruhashi K, Katsuragi Y, Kanazawa T (1962) Seasonal variation of radioactive fallout. J Geophys Res 67:189–193
Morino Y, Ohara T, Nishizawa M (2011) Atmospheric behavior, deposition, and budget of radioactive materials from the Fukushima Daiichi nuclear power plant in March 2011. Geophysical Research Letters 38https://doi.org/10.1029/2011GL048689
Olea RA (2017) Resampling of spatially correlated data with preferential sampling for the estimation of frequency distributions and semivariograms. Stoch Env Res Risk Assess 31:481–491. https://doi.org/10.1007/s00477-016-1289-4
Öztopal A (2006) Artificial neural network approach to spatial estimation of wind velocity data. Energy Convers Manage 47:395–406. https://doi.org/10.1016/j.enconman.2005.05.009
Patenaude HK, Bloomfield EF (2022) Topical analysis of nuclear experts’ perceptions of publics, nuclear energy, and sustainable futures. Frontiers in Communication 7https://doi.org/10.3389/fcomm.2022.762101
Radenković MB, Cupać SA, Joksić JD, Todorović DJ (2008) Depleted uranium mobility and fractionation in contaminated soil (Southern Serbia). Environ Sci Pollut Res 15:61–67. https://doi.org/10.1065/espr2007.03.399
Rahman SU, Matiullah MF et al (2011) Measurement of naturally occurring/fallout radioactive elements and assessment of annual effective dose in soil samples collected from four districts of the Punjab Province, Pakistan. J Radioanal Nucl Chem 287:647–655. https://doi.org/10.1007/s10967-010-0819-7
Ritchie JC, McHenry JR (1990) Application of radioactive fallout cesium-137 for measuring soil erosion and sediment accumulation rates and patterns: a review. J Environ Qual 19:215–233. https://doi.org/10.2134/jeq1990.00472425001900020006x
Sahin AD (2004) Progress and recent trends in wind energy. Prog Energy Combust Sci 30:501–543. https://doi.org/10.1016/j.pecs.2004.04.001
Şen Z (1992) Standard cumulative semivariograms of stationary stochastic processes and regional correlation. Math Geol 24:417–435. https://doi.org/10.1007/BF00891272
Sen Z (1989) Cumulative semivariogram models of regionalized variables. Math Geol 21:891–903. https://doi.org/10.1007/BF00894454
Şen Z (1998) Point cumulative semivariogram for identification of heterogeneities in regional seismicity of Turkey. Math Geol 30:767–787. https://doi.org/10.1023/A:1021704507596
Şen Z (2016) Spatial modeling principles in earth sciences. Springer
Shi C, Fernández-Jiménez A (2006) Stabilization/solidification of hazardous and radioactive wastes with alkali-activated cements. J Hazard Mater 137:1656–1663. https://doi.org/10.1016/j.jhazmat.2006.05.008
Sibson R (1981) A brief description of natural neighbor interpolation. In: Interpreting multivariate data. John Wiley & Sons, Ltd, pp 21–36
Simon SL, Bouville A LC (2006) Fallout from nuclear weapons tests and cancer risks: exposures 50 years ago still have health implications today that will continue into the future. American Scientist 94:48*57
Steinhauser G, Brandl A, Johnson TE (2014) Comparison of the Chernobyl and Fukushima nuclear accidents: a review of the environmental impacts. Sci Total Environ 470–471:800–817. https://doi.org/10.1016/j.scitotenv.2013.10.029
Sun J, Vu TT (2016) Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China. Geomat Nat Haz Risk 7:1962–1972. https://doi.org/10.1080/19475705.2016.1171257
Suzuki Y, Kelly SD, Kemner KM, Banfield JF (2002) Radionuclide contamination: nanometre-size products of uranium bioreduction. Nature 419:134. https://doi.org/10.1038/419134a
Tanaka K, Sakaguchi A, Kanai Y et al (2013) Heterogeneous distribution of radiocesium in aerosols, soil and particulate matters emitted by the Fukushima Daiichi Nuclear Power Plant accident: retention of micro-scale heterogeneity during the migration of radiocesium from the air into ground and rive. J Radioanal Nucl Chem 295:1927–1937. https://doi.org/10.1007/s10967-012-2160-9
Tang L, Hossain F (2009) Transfer of satellite rainfall error from gaged to ungaged locations: how realistic will it be for the Global Precipitation Mission? Geophysical Research Letters 36https://doi.org/10.1029/2009GL037965
Tarawneh QY, Şahin AD (2003) Regional wind energy assessment technique with applications. Energy Convers Manage 44:1563–1574. https://doi.org/10.1016/S0196-8904(02)00164-4
Thakur P, Ballard S, Nelson R (2013) An overview of Fukushima radionuclides measured in the northern hemisphere. Sci Total Environ 458–460:577–613. https://doi.org/10.1016/j.scitotenv.2013.03.105
Turalioglu FS, Bayraktar H (2005) Assessment of regional air pollution distribution by point cumulative semivariogram method at Erzurum urban center, TURKEY. Stoch Env Res Risk Assess 19:41–47. https://doi.org/10.1007/s00477-004-0203-7
Tutmez B, Hatipoglu Z (2007) Spatial estimation model of porosity. Comput Geosci 33:465–475. https://doi.org/10.1016/j.cageo.2006.07.008
Tutmez B, Tercan AE, Kaymak U (2007) Fuzzy modeling for reserve estimation based on spatial variability. Math Geol 39:87–111. https://doi.org/10.1007/s11004-006-9066-4
Valkovic V (2000) Physicochemical aspects and applications. In: Radioactivity in the environment. Elsevier
Acknowledgements
Dr. Külahcı, one of the authors, attributes this article to the cherished memory of his first teachers, Muhammed Mazhar Ebci, Abdullâh Karaokur, and Mehmet Özbek. We would like to thank TUBITAK (Scientist Training Scholarship) and the Fırat University Scientific Research Project Unit for their support. Chernobyl radioactive fallout data in this study can be accessed from Le Roux et al. (2010) reference. Fukushima radioactive fallout data were taken from Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan. In addition, both Chernobyl and Fukushima radioactive fallout data, tables in the main text were given. The authors also thank Dr. Seçil Niksarlıoğlu for his help in drawing some of the graphs given in the appendix to this article. Finally, we would like to thank the Editor Dr. Georg Steinhauser and the journal management for their excellent management and the referees for their very constructive and positive comments.
Author information
Authors and Affiliations
Contributions
The idea of the method proposed in this study belongs to Dr. Külahcı. The entire article was written by Dr. Külahcı. Dr. Şen gave the final form to the article and the article was read and approved by Dr. Külahcı and Dr. Şen in all its details. There are other persons who satisfied the criteria for authorship but are not listed. We further confirm that the order of authors listed in the manuscript has been approved by all of us.
Corresponding author
Ethics declarations
Ethical approval.
Not applicable.
Consent to participate
I am free to contact any of the people involved in the research to seek further clarification and information.
Consent to publish
Not applicable.
Competing interests.
The authors declare no competing interests.
Additional information
Responsible Editor: Georg Steinhauser
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Külahcı, F., Şen, Z. Cumulative Ordinary Kriging interpolation model to forecast radioactive fallout, and its application to Chernobyl and Fukushima assessment: a new method and mini review. Environ Sci Pollut Res 29, 64298–64311 (2022). https://doi.org/10.1007/s11356-022-21921-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-022-21921-4