• Author/Authors

    özfidaner, mete alata horticultural research institute, Alata, turkey , şapolyo, duygu çukurova university - faculty of agriculture - department of agricultural structures and irrigation, turkey , topaloğlu, fatih çukurova university - faculty of agriculture - department of agricultural structures and irrigation, turkey

  • Title Of Article

    Using A New Trend Analysis Method to determine Avearge Temperature Trend in Antalya

  • شماره ركورد
    45065
  • Abstract
    Climate change and global warming can be detected using various climatic parameters such as temperature, precipitation, streamflow, evaporation, humidity, sunshine intensity, wind. Generally, Temperature, precipitation and streamflow of these parameters are more significant than others. In this study between 1976 and 2017 monthly average temperatures trend of 17932 station in Antalya has been detected using Mann-Kendall Correlation test and also, annual average temperatures data have been analyzed using graphical method. As a result of this research, both monthly average temperatures data and annual average temperatures data have been determined significantly increasing trend. Also, Annual average temperatures have been determined 0.038 °C/year increase amount and this increase has been found statistically significant.
  • From Page
    223
  • NaturalLanguageKeyword
    Graphical Method , Mann , Kendall Correlation Test , Temperature , Trend Analysis
  • JournalTitle
    Journal Of The Faculty Of Agriculture, Suleyman Demirel University
  • To Page
    228
  • JournalTitle
    Journal Of The Faculty Of Agriculture, Suleyman Demirel University