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Öğe Cumulative Ordinary Kriging interpolation model to forecast radioactive fallout, and its application to Chernobyl and Fukushima assessment: A new method and mini review(Springer, 2022) Külahcı, Fatih; Şen, ZekaiThe 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.Öğe Innovative flow risk assessment with climate change perspective in Yesilirmak Basın (vol 29, pg 514, 2020)(Parlar Scientific Publications, 2021) Serancam, Uğur; Dabanlı, İsmail[Abstract Not Available]Öğe Discussion of "Critical Values for Sen's trend analysis" by Richard H. McCuen(American Society of Civil Engineers (ASCE), 2020) Şişman, Eyüp; Güçlü, Yavuz Selim; Dabanlı, İsmailIt is well appreciated that the author of the original paper tried toavoid the qualitative subjectivity and proposed a quantitative approach for trend identification in a given hydrometeorology timeseries. He considered that there are not quantitative publicationson S¸ en’s innovative trend analysis (ITA) in the literature, whichis not correct, because there are a few papers published on the quantitative ITA trend estimation methodology.
