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Point and regional analysis of drought in Northern Iran.

Authors :
Dinpashoh, Yagob
Biazar, Seyed Mostafa
Rahmani, Vahid
Source :
Arabian Journal of Geosciences; Dec2022, Vol. 15 Issue 24, p1-15, 15p
Publication Year :
2022

Abstract

Here, daily precipitation depths in the period 2000–2018 were used in the 13 weather stations located in northern Iran. Three meteorological drought-related characteristics including severity (S<subscript>d</subscript>), magnitude (M<subscript>d</subscript>), and duration (L<subscript>d</subscript>) were evaluated. The data were converted to the monthly scale by summation of the daily records for a given month. Five distinct truncation levels (TL) were selected. The maximum values of S<subscript>d</subscript>, M<subscript>d</subscript>, and L<subscript>d</subscript> were calculated for each of the stations. Then, using the annual scale, the observed S<subscript>d</subscript> and M<subscript>d</subscript> series were subjected to frequency analysis. Regional droughts were analyzed using the cumulative annual precipitation depths in the stations. In each year, the area faced with drought was measured. In a monthly scale, after choosing the mean monthly precipitation ( x ¯ ) as a TL, the observed maximum value of L<subscript>d</subscript> was less than 15 months. As the return period (Tr) increases, each of the drought characteristics increased as well. When the mean annual precipitation (MAP) was selected as a TL, the ratio of S<subscript>d</subscript> in a 10-year to 2-year return period varied between 2.39 and 3.82, among stations. Similarly, in the case of M<subscript>d</subscript>, this ratio varied in the stations between 1.88 and 3.75. Larger values of S<subscript>d</subscript> and M<subscript>d</subscript> were observed in western parts of the region. In the years 2008, 2010, and 2017, the study area experienced very severe regional droughts. The findings of this study may help decision-makers in better management of water in the region. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18667511
Volume :
15
Issue :
24
Database :
Complementary Index
Journal :
Arabian Journal of Geosciences
Publication Type :
Academic Journal
Accession number :
161305192
Full Text :
https://doi.org/10.1007/s12517-022-11021-5