Volume 25, Issue 3 (Fall 2021)                   jwss 2021, 25(3): 13-30 | Back to browse issues page


XML Persian Abstract Print


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

ahmadzadeh H, Fakheri Fard A, ghorbani M, tajrishy M. Regional Analysis of Hydrological Drought in Ajichai Basin Using RDI Index. jwss 2021; 25 (3) :13-30
URL: http://jstnar.iut.ac.ir/article-1-4052-en.html
Tabriz University , hojatahmadzadeh6@gmail.com
Abstract:   (2512 Views)
In drought risk management, the regional analysis of drought is significant. In this paper, this important issue is investigated by presenting the new hydrological regional drought index (RDI). For this purpose, the Ajichai basin was selected as the study area. First, the time series of the streamflow drought index (SDI) was calculated for each of the hydrometric stations in the basin f regional analysis of hydrological drought. Then, to determine the homogeneous regions in terms of hydrological drought, the k-means method was used for clustering analysis. Based on the clustering results, 6 Homogeneous regions were identified in the basin. For each of these regions, the time series of the RDI index was calculated from 1365 to 1393. The results showed that during the study period in each of the regions 1, 2, 3, 4, 5, and 6, mild Wet and mild drought has occurred at 82.1, 80.1, 78.9, 83.3, and 84.3 percent of regions, respectively. Also, the total percentage of drought events (moderate and high) is higher than the total percentage of wet events (moderate and high) in all regions. So, during the study period, the total percentage of drought events (moderate and high) is more than twice the total percentage of wet events (moderate and high) in regions 2 and 3.
Full-Text [PDF 808 kb]   (1691 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2020/07/19 | Accepted: 2020/11/5 | Published: 2020/11/30

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

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

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb