Simulation of precipitation variations in Iran using Kriging interpolation methods

International Journal of Physical Sciences

Majid Javari¹ 

关键词: Spatial variations;    trend variations;    spatial variability;    Mann-Kendall;    precipitation.;   

DOI  :  10.5897/IJPS2017.4653

学科分类：物理（综合）

来源: Academic Journals

【 摘 要 】

This study estimated spatial variability of precipitation in the monthly and annual scales in Iran for the period of 1975 to 2014 in 140 stations using kriging interpolation methods. In precipitation variability analysis three procedures were used: Mann-Kendall test, Sen's slope estimator and spatial trend patterns. Results show that there are both increasing and decreasing trends in monthly precipitation in Iran. Based on the magnitude of the significant trend, there are three patterns of the significant trend (average, lower and upper) in the monthly precipitation of Iran that vary from -0.0785 mm/month in October to 0.1536 mm/month in November. As a result, in January, February, March, May, October, and December, the magnitude of negative trends and in April and November the random and positive patterns were estimated in the precipitation in 140 stations, respectively.

【 授权许可】

CC BY