PL EN
Monthly and Annual Precipitation in Arid Environment of the Daoura Watershed (South-Eastern Morocco) – Homogenization and Trend Analysis
 
More details
Hide details
1
Department of Geography, Sidi Mohamed Ben Abdellah University, P.B. 59, Immouzer Road, 30000 Fez, Morocco
 
2
Department of Geography, Laboratory of Territory, Heritage and History, Sidi Mohamed Ben Abdellah University, 30500 Fez, Morocco
 
 
Corresponding author
Yassine Chanyour   

Department of Geography, Sidi Mohamed Ben Abdellah University, P.B. 59, Immouzer Road, 30000 Fez, Morocco
 
 
Ecol. Eng. Environ. Technol. 2024; 4:125-142
 
KEYWORDS
TOPICS
ABSTRACT
The high variability of the sub-desert climate, especially in the south-eastern region of Morocco, has severe socio-economic impacts on the inhabitant’s way of life, as is the case in the Daoura watershed, where this variability is associated with droughts or exceptional rainfall. The data collected from the Guir-Ziz-Rheriss hydraulic agency were processed, corrected and analyzed using the Climatol package (version 4.0.0) developed in R software to homogenize rainfall data. Through this work, we defined the significance and amplitudes of annual and monthly rainfall trends using the Mann-Kendall test and Sens's slope estimator, while comparing the results of raw and homogenized data. The Daoura watershed has a sub-desert climate, and the homogenization process revealed a few rainfall stations with significant positive trends at confidence levels ranging from 90 % to 95 %. According to the raw and homogenized data, the majority of these stations are located in the High Atlas (CR1) and Anti-Atlasic (CR2) zones, where there is considerable spatiotemporal variability in rainfall from one year to the next. The essential objective of this scientific paper is to analyze the spatiotemporal variability of monthly and annual precipitation and to study their trends through rainfall data homogenized by the climatol package (version 4.0.0) from 13 stations over a period (1957-2018). This study's contribution to science is the rainfall data it offers, which is useful for managing natural resources in sub-desert areas.
Journals System - logo
Scroll to top