Climate Change and Climate Disaster

A Study of Rasht Synoptic Station Precipitation by Factor Analysis Method

Document Type : Original Article

Authors

fatemeh sotoudeh gigasary 1
reza Khoshraftar 2
Hossein Asakereh 3

1 Kharazmi univercity, Tehran

2 Department of Geography, Zanjan University, Zanjan, Iran

3 Professor of Zanjan University

Abstract
The useful tools for recognition of behavior of this climatic element are the statistical techniques. In this regard, in this paper, in addition the statistical tools in the trend analysis, from‌ Rotated Factor Analysis to Maximum Likelihood method is used for identification of the dominate parameter on the monthly precipitation of synoptic station of Rasht. For purpose were used from the daily precipitation data of synoptic station of Rasht in during 1961 to 2005 years. The first to the identify a precipitation regime of Rasht extracted the number of days with precipitation equal and greater than R1, 5, 10, 20,30,40,50 and100mm for each month during the 45 years. The study of decadal trend precipitation with using Pearson, Spearman and Mann Kendal was evidence the signification negative trend in the third decade in July (Tir) and in the fourth decade in March (Esfand) and the signification positive trend in the third decade in January (Day) and in the first decade in February (Bahman). Also in seasonal scale, only in the second decade of the winter was revealed signification negative trend. The results showed that two effective factors on the number of the day's precipitation in July, October, January and February are the same act. So in these months the dominance of the heavy rain can infer as the controlling factor of the number of the days precipitation and this is indicating on the separate precipitation regime in this month. The ordibehesht (May) were identified as the separate regime.

Keywords

Precipitation Regime
Trend
Factor Analysis
Rasht
Guilan Province

Subjects

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