[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
Last contents of other sections
..
:: Volume 7, Issue 3 (12-2019) ::
2019, 7(3): 21-36 Back to browse issues page
Investigation and Prediction of Iranian Drought Using Composite Indices
Vahid Safarianzengir , Batol Zenali *
Mohaghegh Ardabili University, Ardabil, Iran
Abstract:   (2898 Views)
In recent years, Iran in Southwest Asia it has been affected by drought. The purpose of the present study is to analyze and forecast drought in Iran. For this research at first, the precipitation and temperature climatic parameters over a 29 year period (1990- 2018) at 30 stations in Iran Collected. For modeling, the M.S.S fuzzy index, at first uses three indices (SET, SPI, MCZI) using fuzzy logic in Matlab software. Then the indicators are compared and compared with Topsis multivariate decision making model, For Prioritization Drought affected areas were used and finally to forecast the RBF artificial neural network model was used. The Research findings showed that the new M.S.S Index drought class fuzzy index reflected the above three indices with high accuracy and the accuracy of the M.S.S model was confirmed with high confidence. In the drought monitoring years, southern and southwestern stations of Iran such as Bandar Abbas and Ahvaz were more prone to drought (24.30 and 18.47%). In the years to forecast, the drought is expected to extend to the central parts of Iran. Including these stations Semnan and Yazd with drought frequency percent (0.86 and 0.91) are based on M.S.S fuzzy index, respectively.

 
Keywords: Statistical Analysis, M.S.S Index, Modeling, Drought, Iran
Full-Text [PDF 946 kb]   (593 Downloads)    
Type of Study: Research | Subject: Special
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


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

safarianzengir V, Zenali B. Investigation and Prediction of Iranian Drought Using Composite Indices. Journal of Rainwater Catchment Systems 2019; 7 (3) :21-36
URL: http://jircsa.ir/article-1-352-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 7, Issue 3 (12-2019) Back to browse issues page
مجله علمی سامانه های سطوح آبگیر باران Iranian Journal of Rainwater Catchment Systems
تکمیل و ارسال فرم تعارض منافع
نویسنده گرامی ، پس از ارسال مقاله ، جهت دریافت فرم، لطفا بر روی کلمه فرم تعارض منافع کلیک نمایید و پس از تکمیل، در فایل های پیوست مقاله قرار دهید.
Persian site map - English site map - Created in 0.04 seconds with 37 queries by YEKTAWEB 4645