:: Volume 21, Issue 74 (8-2021) ::
جغرافیایی 2021, 21(74): 33-49 Back to browse issues page
Analyzing the Trend of Extreme Precipitation in Talesh Basin-Anzali Lagoon
Fereydoun Azad Gholami Khasmakhi1 , Parviz Rezaei * 1, Amir Gandomkar1
1- Islamic Azad University
Abstract:   (2504 Views)
  Extreme precipitation is one of the climatic risky behaviors that are associated with abnormalities and environmental-human consequences. This study has investigated daily rainfall  of 20 rain gauge and synoptic stations over 30 years (1987-2016) in the West of Gilan province, to determine the trend of extreme precipitation changes. In this regard, non-parametric Mann-Kendall test, Sen's Estimator slope, Poisson distribution, and IDW interpolation have been applied, respectively, to determine the existence of trend, significance, to determine the probability of rainfall occurrence   and to identify spatial patterns of precipitation occurrence with different probabilities. The results suggested an increasing trend in Astaneh-ye Ashrafiyeh, Bandar-e Anzali, Masuleh, and Astara and an extreme decreasing trend in Bash Mahalleh due to the Mann-Kendall test. Studying the significance or insignificance of changes trend by Sen indicated that this trend has been significant in Mashin khaneh, Bash Mahalleh, and Punel Stations; and the null hypothesis, that is, the insignificance of change, was rejected. Sen's Method revealed that there were no significant changes in other stations, and their randomization will be confirmed. To this end, the spatial probability distribution of  to  indicate kernel probability displacement for different x.  The maximum probability to various occurrences has been at Masuleh station and Poisson distribution is a proper assessment of precipitation in this region.
Keywords: Extreme precipitation, Mann-Kendall, Poisson, Talesh Basin, Anzali Lagoon, Gilan province
Full-Text [PDF 1882 kb]   (869 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/12/28 | Accepted: 2019/04/14 | Published: 2021/09/28

XML   Persian Abstract   Print

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 21, Issue 74 (8-2021) Back to browse issues page