LONG TERM TREND ANALYSIS OF OBSERVED DUSTY DAYS IN THE WEST OF IRAN, APPLYING NON-PARAMETRIC STATISTICS

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RASOULI A.A.; SARI SARRAF B.; MOHAMMADI G.H.

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Journal: JOURNAL OF PHYSICAL GEOGRAPHY Year:2011 | Volume:4 | Issue:11 Page(s): 1-16

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Title

LONG TERM TREND ANALYSIS OF OBSERVED DUSTY DAYS IN THE WEST OF IRAN, APPLYING NON-PARAMETRIC STATISTICS

Author(s)

RASOULI A.A. | SARI SARRAF B. | MOHAMMADI G.H. | Issue Writer Certificate

Keywords

WEST OF IRANQ2

DUSTY DAYSQ3

MANN-KENDAL ANDQ2

SEN.’S ESTIMATORSQ1

TREND ANALYSISQ2

Abstract

In the current study, some available dusty day's data were analyzed to identify the geo-spatial changes of observations, observed by 16 synoptic stations in the WEST OF IRAN during the past 55 years. It was identified that all selected weather stations have the most complete and longest periods of recorded data. To provide a preliminary view of a subjected climatology of the average number of days with dust, throughout about 19 province of the country, yearly and monthly data have been examined.It was determined that inside of the study area, the occurrence of days with dust are not homogeneous and such phenomena increases from the north to the south. To review the trend of occurrence of dusty day's two non-parametric statistical methods such as a Mann-Kendall and a Sen.’s Estimator were accordingly introduced to the data. Primary results showed that such methods could be adapted for signifying of the existing trend types. Some initial models proved that in all stations (except Khoy) various positive trends could be recognized. However, it was acknowledged that between them, only 8 time series have significant trends; nevertheless these data could be reduced to the 5 main stations which have completely positive statistical meaningful trends. In the final stage, to illustrate the geographic distribution of dusty day's trend in the study area a GIS was settled and accordingly all associated maps were designed and interpreted.

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APA: Copy

RASOULI, A.A., SARI SARRAF, B., & MOHAMMADI, G.H.. (2011). LONG TERM TREND ANALYSIS OF OBSERVED DUSTY DAYS IN THE WEST OF IRAN, APPLYING NON-PARAMETRIC STATISTICS. JOURNAL OF PHYSICAL GEOGRAPHY, 4(11), 1-16. SID. https://sid.ir/paper/185032/en

Vancouver: Copy

RASOULI A.A., SARI SARRAF B., MOHAMMADI G.H.. LONG TERM TREND ANALYSIS OF OBSERVED DUSTY DAYS IN THE WEST OF IRAN, APPLYING NON-PARAMETRIC STATISTICS. JOURNAL OF PHYSICAL GEOGRAPHY[Internet]. 2011;4(11):1-16. Available from: https://sid.ir/paper/185032/en

IEEE: Copy

A.A. RASOULI, B. SARI SARRAF, and G.H. MOHAMMADI, “LONG TERM TREND ANALYSIS OF OBSERVED DUSTY DAYS IN THE WEST OF IRAN, APPLYING NON-PARAMETRIC STATISTICS,” JOURNAL OF PHYSICAL GEOGRAPHY, vol. 4, no. 11, pp. 1–16, 2011, [Online]. Available: https://sid.ir/paper/185032/en

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