The Application of Wavelet Analysis to Identify the Periodic Behavior of Droughts in Iran

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MAHMOUDI PEYMAN; Daneshmand Hojatolah

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Journal: GEOGRAPHY AND ENVIRONMENTAL HAZARDS Year:2018 | Volume:7 | Issue:25 Page(s): 153-168

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Title

The Application of Wavelet Analysis to Identify the Periodic Behavior of Droughts in Iran

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MAHMOUDI PEYMAN | Daneshmand Hojatolah | Issue Writer Certificate

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Abstract

1. Introduction Variability of climatic phenomena is manifested in three intervals in the form of trend, oscillation, and fluctuation. Trend refers to the long-term behavior of time series, and fluctuation reflects the unique and unrepeatable behaviors. However, the distinctive aspect of oscillation is its recurring pattern. In this case, after a while the climatic system presents a configuration “ similar” to the previous pattern with a slight difference. Many climate oscillations in a fixed time period (e. g., one year or less) are marked with monthly or seasonal periods. These cycles are called apparent cycles or periods. Many other climatic cycles are not manifested immediately, but rather occur gradually over time. This type of cycles is known as latent cycles. Drought as a climatic phenomenon is considered as one of the most important natural disasters due to its special vastness and short-term and long-term economic, social, and environmental consequences. Thus, studies conducted to reveal the spatiotemporal behavior of this phenomenon and particularly periodicities can be very useful for predicting this phenomenon in the future. In addition, these studies can be used to identify the causes of drought. Iran, a vast country with precipitation about one third of global precipitation, is located in arid and semi-arid areas of the world, and aridness is considered as its main natural and climatic characteristic. However, in recent years, precipitation anomalies are increased in different regions of Iran due to reasons often related to global climate changes, and also severe temporal and spatial fluctuations of drought have imposed huge damage to the economy of the country, especially in recent decades. 2. Materials and Methods Iran is a geographically uneven country with the average height of the sea level of about 1250 meters. Owing to its geographical situation, climate of Iran is dependent on some elements of the general air circulation active in a special spatial and temporal range. Meanwhile, the subtropical high pressure system is the dominant phenomenon of warm period of the year in Iran which brings under its domination most parts of the country in the southern mountains of Alborz. Of course, the role of roughness height and latitude in the continuation of its dominance in warm period of the year appears important as well. In general, Iran’ s temperature increases from north to south and west to east. The reason for this feature is the existence of highlands in north and west of the country as well as the gradual decrease of radiation angle towards more northern latitudes. This study, attempts to identify the periodic behavior of droughts in Iran; therefore, a step can be taken toward more accurate prediction of this climate risk in future based on the knowledge achieved. To achieve this goal, the monthly precipitation data for a period of 41 synoptic stations for a period of 31 years (1983-2013) received from Iran meteorological organization was used. Then, to identify different degrees of drought, effective drought index (EDI) was used. The main purpose of this index is to assign a numerical value to each precipitation incident in monthly scale to be able to compare the areas with different climates. Then, to identify the dominant periods in drought time series of stations, wavelet transform is used. In this study, the frequency is shown as period per month. In other words, the period or cycle is measured in terms of months. Low frequencies represent the large periodic cycles, and high frequencies represent the small periodic cycles. 3. Results and Discussion The results showed that the dominant periods in time series of effective drought index (EDI) in different stations of Iran vary significantly and include the period of 24-28 months to 210-220 months. Moreover, in a number of stations, dominant periodic intervals are seen, including the two period intervals of 108-120 and 60-80 months. However, in general, this behavior is not observed at all stations; in fact, we are faced with periodic variability in most stations. Except for the semi-northern half of the central Iran, the periodic interval is increasing in other parts. In other words, the periodic interval is opening. In the early periods, short-term periodic intervals are observed. However, periodic intervals are approaching to large ranges during the period and at the end of the series. Thus, throughout the country, it can be concluded that periodic intervals re oriented towards long-term periods with very mild slope. This can indicate that large-scale factors play an important role in the creation of periodic intervals, and the role of the regional factors is declining. 4. Conclusions The results showed that periodic intervals were shorter at the beginning but longer at the end of time series. This suggests that the probability of the incidence of drought in Iran is increasing. Another result of this study showed that the interval between occurrence of droughts were longer at the beginning and then shorter at the end of times series. That is, the occurrence of droughts in Iran has long-term periods of return at the beginning and shorter ones at the end.

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APA: Copy

MAHMOUDI, PEYMAN, & Daneshmand, Hojatolah. (2018). The Application of Wavelet Analysis to Identify the Periodic Behavior of Droughts in Iran. GEOGRAPHY AND ENVIRONMENTAL HAZARDS, 7(25 ), 153-168. SID. https://sid.ir/paper/226768/en

Vancouver: Copy

MAHMOUDI PEYMAN, Daneshmand Hojatolah. The Application of Wavelet Analysis to Identify the Periodic Behavior of Droughts in Iran. GEOGRAPHY AND ENVIRONMENTAL HAZARDS[Internet]. 2018;7(25 ):153-168. Available from: https://sid.ir/paper/226768/en

IEEE: Copy

PEYMAN MAHMOUDI, and Hojatolah Daneshmand, “The Application of Wavelet Analysis to Identify the Periodic Behavior of Droughts in Iran,” GEOGRAPHY AND ENVIRONMENTAL HAZARDS, vol. 7, no. 25 , pp. 153–168, 2018, [Online]. Available: https://sid.ir/paper/226768/en

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