Spatio-temporal analysis of annual rainfall in Crete, Greece

被引:32
|
作者
Varouchakis, Emmanouil A. [1 ]
Corzo, Gerald A. [2 ]
Karatzas, George P. [1 ]
Kotsopoulou, Anastasia [1 ]
机构
[1] Tech Univ Crete, Sch Environm Engn, Khania 73100, Greece
[2] IHE Inst Water Educ, Westvest 7, NL-2611 AX Delft, Netherlands
关键词
Rainfall; Spectral analysis; Geostatistics; North Atlantic Oscillation; Crete; CLIMATE-CHANGE; REGIONAL CLIMATE; WATER-RESOURCES; MANN-KENDALL; MODEL; VARIABILITY; PERFORMANCE; IMPACT; ISLAND; LEVEL;
D O I
10.1007/s11600-018-0128-z
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Analysis of rainfall data from the island of Crete, Greece was performed to identify key hydrological years and return periods as well as to analyze the inter-annual behavior of the rainfall variability during the period 1981-2014. The rainfall spatial distribution was also examined in detail to identify vulnerable areas of the island. Data analysis using statistical tools and spectral analysis were applied to investigate and interpret the temporal course of the available rainfall data set. In addition, spatial analysis techniques were applied and compared to determine the rainfall spatial distribution on the island of Crete. The analysis presented that in contrast to Regional Climate Model estimations, rainfall rates have not decreased, while return periods vary depending on seasonality and geographic location. A small but statistical significant increasing trend was detected in the inter-annual rainfall variations as well as a significant rainfall cycle almost every 8 years. In addition, statistically significant correlation of the island's rainfall variability with the North Atlantic Oscillation is identified for the examined period. On the other hand, regression kriging method combining surface elevation as secondary information improved the estimation of the annual rainfall spatial variability on the island of Crete by 70% compared to ordinary kriging. The rainfall spatial and temporal trends on the island of Crete have variable characteristics that depend on the geographical area and on the hydrological period.
引用
收藏
页码:319 / 328
页数:10
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