TREND AND OSCILLATION ANALYSIS OF WATER VAPOR PRESSURE IN SOUTH AND SOUTHWEST OF IRAN

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LASHKARI HASAN; MATKAN ALIAKBAR; ASAKEREH HOSSEIN; KHOSRAVI YOUNES

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Journal: GEOGRAPHY AND ENVIRONMENTAL HAZARDS Year:2015 | Volume:4 | Issue:13 Page(s): 1-21

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Title

TREND AND OSCILLATION ANALYSIS OF WATER VAPOR PRESSURE IN SOUTH AND SOUTHWEST OF IRAN

Author(s)

LASHKARI HASAN | MATKAN ALIAKBAR | ASAKEREH HOSSEIN | KHOSRAVI YOUNES | Issue Writer Certificate

Keywords

WATER VAPOR PRESSUREQ1

TRENDQ2

OSCILLATIONQ3

MANN-KENDALQ1

SPECTRUM ANALYSISQ2

Abstract

Introduction: Identification and analysis of time-series behavior of the climatic elements and processes upon them are the basic factors of climatology science and has an important role in management and environmental planning. In general, the behavior of climatic elements is observed in 3 forms: TREND, OSCILLATION and Fluctuation. These behaviors will help us to identify climate change better. Today by changing more the TREND of climatic elements, climate change has become more important than previous years. But in between the climatic elements, it has been noticed less than the other elements such as WATER VAPOR PRESSURE. The importance of water vapor is that this climatic parameter has an important role in explaining the climate change, because of 1) It is the main source of rainfall in all weather systems, 2) It supplies the latent heat in this process and controls the heat in the troposphere and 3) It is the intensify severe storms. Given the significant role of atmospheric moisture in the Earth's energy equilibrium, it can be helpful in explaining climate change. Therefore, this article tries to survey two time series behaviors of climate data; the TRENDs and fluctuations in WATER VAPOR PRESSURE. The MANN-KENDALl test is one of the popular nonparametric techniques for explaining the TREND analyzing in hydrological and climatic data. The SPECTRUM ANALYSIS is one of the best methods for extracting and analyzing visible and invisible climatic OSCILLATIONs with different wavelength. In fact, spectrum show the distribution of variance along the entire range of wavelengths in time series. So in this article, we want to analyze the TREND by using the MANN-KENDALl test and detect and identify the fluctuations and cycles of WATER VAPOR PRESSURE time series by using the SPECTRUM ANALYSIS...

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APA: Copy

LASHKARI, HASAN, MATKAN, ALIAKBAR, ASAKEREH, HOSSEIN, & KHOSRAVI, YOUNES. (2015). TREND AND OSCILLATION ANALYSIS OF WATER VAPOR PRESSURE IN SOUTH AND SOUTHWEST OF IRAN. GEOGRAPHY AND ENVIRONMENTAL HAZARDS, 4(13), 1-21. SID. https://sid.ir/paper/226714/en

Vancouver: Copy

LASHKARI HASAN, MATKAN ALIAKBAR, ASAKEREH HOSSEIN, KHOSRAVI YOUNES. TREND AND OSCILLATION ANALYSIS OF WATER VAPOR PRESSURE IN SOUTH AND SOUTHWEST OF IRAN. GEOGRAPHY AND ENVIRONMENTAL HAZARDS[Internet]. 2015;4(13):1-21. Available from: https://sid.ir/paper/226714/en

IEEE: Copy

HASAN LASHKARI, ALIAKBAR MATKAN, HOSSEIN ASAKEREH, and YOUNES KHOSRAVI, “TREND AND OSCILLATION ANALYSIS OF WATER VAPOR PRESSURE IN SOUTH AND SOUTHWEST OF IRAN,” GEOGRAPHY AND ENVIRONMENTAL HAZARDS, vol. 4, no. 13, pp. 1–21, 2015, [Online]. Available: https://sid.ir/paper/226714/en

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