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.
Primary Language | Turkish |
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Subjects | Agricultural Engineering |
Journal Section | Research |
Authors | |
Publication Date | December 31, 2018 |
Submission Date | July 25, 2018 |
Acceptance Date | November 29, 2018 |
Published in Issue | Year 2018 1. Uluslararası Tarımsal Yapılar ve Sulama Kongresi Özel Sayısı |
Bu eser Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı ile lisanslanmıştır.