Comparison of Statistical Methods to Graphical Method in Precipitation Trend Analysis, A Case Study: Coruh Basin, Turkey
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Int Publ Ag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
It is a known fact that the precipitation characteristics will become irregular as a result of climate change resulting from global warming. Trend analysis is one of the most effective methods of observing the effects of climate change on precipitation. This study compares the changes in precipitation with traditional trend analysis methods and graphical method (divided into subcategories using the Z-Score Index). Some preliminary analyzes (missing data estimation, homogeneity check, autocorrelation, and removal of the autocorrelation), which are lacking in many studies in the literature, have been performed. In this context, the monthly total precipitation data of the precipitation stations belonging to the Coruh Basin, one of the most important basins of Turkey, for the period 1972-2011 were used. As a result of the study, it was determined that all the stations' data were homogeneous, and 92% of them were at the Class A level. While 100% trend is determined in Innovative Trend Analysis in total annual precipitation, this rate was just 40% at Mann-Kendall and Spearman's rho at 95% confidence. An increasing trend was determined in the high group of total spring precipitation at all stations.
Açıklama
Anahtar Kelimeler
Precipitation, Trend analysis, Mann-Kendall test, Spearman's rho test, Innovative trend analysis, Z-score index
Kaynak
Iranian Journal of Science and Technology-Transactions of Civil Engineering
WoS Q Değeri
Q3
Scopus Q Değeri
Q3
Cilt
46
Sayı
6
