Spatial Pattern Analysis of Heat Waves in Guilan Province

Subject Areas : climate

Sharareh Seydgar ¹ , atoosa bigdeli ² , parviz rezaei ³

1 - Depatment of Geography .Eslamic Azad University. Rasht. Iran
2 - Department of Geography, Faculty of Human Science, Islamic Azad University Rasht Branch,, Rasht, Iran.
3 - Associate professor, Department of Geography, Rasht Branch, Islamic Azad University, Rasht, Iran

Received: 2024-07-28 Accepted : 2024-09-21 Published : 2024-09-21

Keywords: Warm waves, wave threshold, local Moran I Statistics, spatial pattern, Guilan province,

Abstract :

In recent decades, the occurrence of heat waves has been increasing and this can be caused by human effects.in this research, by presenting a specific definition of heat wave threshold, its spatial pattern were investigated in the Guilan province.Maximum temperature data was obtained from the ECMWF website with a spatial resolution of  and dimensions of on a daily scale for 40 years (1981 to 2020).Then, 90th percentile threshold and a 3-day sequence on the daily maximum temperature, heat waves were identified and the frequency was counted with a sequence of 3, 6, 9 to 30 days. Spatial statistics such as global and local Moran's I and t-test were used to identify the pattern, temporal and spatial behavior and frequency-intensity of heat waves. The results showed that the main occurrencepattern of heat waves in all wavelengths is cluster type and non-random behavior dominates them. Also, the results of the local Moran's I indicate that the HH and LL patterns exist in most heat waves with sequences of 3 to n days, and the number of zones containing the above patterns in short-term waves is more than waves are long-term. In other words, the spatial pattern of heat waves in longer wavelengths is also homogeneous and the entire province has a random behavior in terms of the frequency of their occurrence. In this regard, the t-test of the heat waves frequencyalso confirms the predominant non-random and randombehavior in short-term and long-term sequences, alternatively.

 

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