Regionalization Analysis of SPI and SPEI Drought Indices for Karoon Basin

The current study was conducted to compute SPI and SPET drought indices due to their multi-scale concept and their ability to analyze different time-scales for selected meteorological stations in Karoon Basin. Regionalization of SPI and SPEI Drought indices based on clustering analysis was another a...

Full description

Bibliographic Details
Main Authors: M. Saeidipour, F. Radmanesh, S. Eslamian, M. R. Sharifi
Format: Article
Language:fas
Published: Isfahan University of Technology 2019-09-01
Series:علوم آب و خاک
Subjects:
Online Access:http://jstnar.iut.ac.ir/article-1-3751-en.html
id doaj-73cde96e02404fc7a480e0d0a6474bf7
record_format Article
spelling doaj-73cde96e02404fc7a480e0d0a6474bf72021-04-20T08:17:17ZfasIsfahan University of Technology علوم آب و خاک2476-35942476-55542019-09-01232397415Regionalization Analysis of SPI and SPEI Drought Indices for Karoon BasinM. Saeidipour0F. Radmanesh1S. Eslamian2M. R. Sharifi3 1. Department of Hydrology and Water Resources Engineering, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran. 1. Department of Hydrology and Water Resources Engineering, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran. 2. Department of Water Engineering, Faculty of Agriculture, Isfahan University of Technology, Isfahan, Iran. 1. Department of Hydrology and Water Resources Engineering, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran. The current study was conducted to compute SPI and SPET drought indices due to their multi-scale concept and their ability to analyze different time-scales for selected meteorological stations in Karoon Basin. Regionalization of SPI and SPEI Drought indices based on clustering analysis was another aim of this study for hydrological homogenizing. Accordingly, to run test through data and determine similar statistical periods, 18 stations were selected. SPI and SPEI values were plotted in the sequence periods graphs and their relationships were analyzed using the correlation coefficient. The results were compared by Pearson correlation coefficient at the significance level of 0.01. The results showed that correlation coefficients (0.5-0.95) were positive and meaningful for all stations and the correlation coefficient between the two indices were increased by enhancing the time-scales. Also, time-scales enhancement decreased the frequency of dry and wet periods and increased their duration. Through regionalization of basin stations based on clustering analysis, the stations were classified into 7 classes. The results of SPEI regionalization showed that the frequency percentage of the normal class was more than those of dry and wet classes.http://jstnar.iut.ac.ir/article-1-3751-en.htmlevapotranspirationdry and wet periodregionalization of the basinspi and spei drought indices
collection DOAJ
language fas
format Article
sources DOAJ
author M. Saeidipour
F. Radmanesh
S. Eslamian
M. R. Sharifi
spellingShingle M. Saeidipour
F. Radmanesh
S. Eslamian
M. R. Sharifi
Regionalization Analysis of SPI and SPEI Drought Indices for Karoon Basin
علوم آب و خاک
evapotranspiration
dry and wet period
regionalization of the basin
spi and spei drought indices
author_facet M. Saeidipour
F. Radmanesh
S. Eslamian
M. R. Sharifi
author_sort M. Saeidipour
title Regionalization Analysis of SPI and SPEI Drought Indices for Karoon Basin
title_short Regionalization Analysis of SPI and SPEI Drought Indices for Karoon Basin
title_full Regionalization Analysis of SPI and SPEI Drought Indices for Karoon Basin
title_fullStr Regionalization Analysis of SPI and SPEI Drought Indices for Karoon Basin
title_full_unstemmed Regionalization Analysis of SPI and SPEI Drought Indices for Karoon Basin
title_sort regionalization analysis of spi and spei drought indices for karoon basin
publisher Isfahan University of Technology
series علوم آب و خاک
issn 2476-3594
2476-5554
publishDate 2019-09-01
description The current study was conducted to compute SPI and SPET drought indices due to their multi-scale concept and their ability to analyze different time-scales for selected meteorological stations in Karoon Basin. Regionalization of SPI and SPEI Drought indices based on clustering analysis was another aim of this study for hydrological homogenizing. Accordingly, to run test through data and determine similar statistical periods, 18 stations were selected. SPI and SPEI values were plotted in the sequence periods graphs and their relationships were analyzed using the correlation coefficient. The results were compared by Pearson correlation coefficient at the significance level of 0.01. The results showed that correlation coefficients (0.5-0.95) were positive and meaningful for all stations and the correlation coefficient between the two indices were increased by enhancing the time-scales. Also, time-scales enhancement decreased the frequency of dry and wet periods and increased their duration. Through regionalization of basin stations based on clustering analysis, the stations were classified into 7 classes. The results of SPEI regionalization showed that the frequency percentage of the normal class was more than those of dry and wet classes.
topic evapotranspiration
dry and wet period
regionalization of the basin
spi and spei drought indices
url http://jstnar.iut.ac.ir/article-1-3751-en.html
work_keys_str_mv AT msaeidipour regionalizationanalysisofspiandspeidroughtindicesforkaroonbasin
AT fradmanesh regionalizationanalysisofspiandspeidroughtindicesforkaroonbasin
AT seslamian regionalizationanalysisofspiandspeidroughtindicesforkaroonbasin
AT mrsharifi regionalizationanalysisofspiandspeidroughtindicesforkaroonbasin
_version_ 1721518504592539648