Volume 11, Issue 44 (Volume 11; Number 44; Summer 2021)                   2021, 11(44): 84-98 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Imani R I, Ghazavi R, Esmali Ouri A. Stochastic Monthly Rainfall Time Series Analysis, Modeling and Forecasting ( A cas study: Ardebilcity. Arid Regions Geographic Studies. 2021; 11 (44) :84-98
URL: http://journals.hsu.ac.ir/jarhs/article-1-1687-en.html
University ofKashan , ghazavi@kashanu.ac.ir
Abstract:   (1163 Views)
Rainfall is the main source of the available water for human. Predicting the amount of the future rainfall is useful for informed policies, planning and decision making that will help potentially make optimal and sustainable use of available water resources. The main aim of this study was to investigate the trend and forecast monthly rainfall of selected synoptic station in Ardabil province using the best models of stochastic time series models. In this study, monthly rainfall for the next 5 years (2020 to 2024 AD) in the study area was predicted using different models of ARIMA family time series. Non-parametric Kendall- test was used to ensure the existence of the trend and the correlation diagram (ACF) was used to ensure the existence of seasonal changes in the time series. The best precipitation forecasting model in each of the 5 methods used for stabilization, was selected based on the values ​​of the model parameters, AIC criteria and correlation coefficient. The best static method and the best predictor model were used to predicte the next 5 year monthly rainfall. The results of man -Kendal test showed that the monthly rainfall data of Ardabil Synoptic Station had a decreasing trend (Z = 0.6119), but this trend was not significant at 95% confidence level. Study of the monthly rainfall data showed that there was a significant correlation between 12, 24, 36 and 48 month delays. The results of the monthly rainfall forecasting for the next five years (2020 to 2024) using the best static method and the best time series model in Ardabil Synoptic Station showed that the annual rainfall should decrease in 4 years of the next 5 years compared to the average of the 20 past years by 3 to 17 percent, the biggest drop since 2022. Rainfall will increase by 0.3% only in 2023.
Full-Text [PDF 1647 kb]   (144 Downloads)    
Type of Study: Research | Subject: اقليم سينوپتيک
Received: 20/Apr/21 | Accepted: 01/Dec/21 | Published: 01/Dec/21

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 | Journal of Arid Regions Geographics Studies

Designed & Developed by : Yektaweb