Konya Mühendislik Bilimleri Dergisi

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/2243

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Browsing Konya Mühendislik Bilimleri Dergisi by Author "Alashan, Sadık"

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    Innovative Trend Analysis Methodology in Logarithmic Axis
    (Konya Technical University, 2020) Alashan, Sadık
    Future uncertainties of climate change cause people to worry, and therefore, in order toreduce the associated risks, scientific research methodologies are improved continuously. For instance,temperature raises as a result of carbon content increase cause variations in hydro-meteorological dataincluding evaporation, drought, precipitation, runoff, and flood. Along these lines, the most commonlyused trend analysis methods are linear regression analysis, Mann-Kendall, sequential Mann-Kendall,Spearman’s Rho, and recently a new method referred to as innovative trend analysis (ITA), which doesnot require initial assumptions, normality, and independence in a data structure. The ITA methodpresents a great visual ability for trend identification in graphical forms in addition to qualitative andquantitative interpretations. In the original form of the ITA approach, scatter points are presented in thearithmetic scale, where changes of scatter points in small values may not be clearly distinguishable likebig values for wide data ranges. In this study, the ITA method is used on arithmetic and logarithmicscales to calculate such differences in two sub-series. The suggested logarithmic scale methodology isreferred to as proportional Şen innovative trend analysis (ITA_P). This method is used to determinepercent trends for the annual, autumn, winter, spring and summer season rains in England. ITA_P issuccessful in determining trends in minimum values compared to the classical ITA.