Abstract:
This study investigates the impact of climate change on extreme precipitation indicators in
the arid and semi-arid regions of Algeria, specifically Ghardaïa, Ouargla, Laghouat, and
Biskra, during the period 1969-2016. The research utilizes innovative trend analysis (ITA)
and change point detection methods to analyze and calculate precipitation trends and indices.
The results of the ITA and change point methods are compared, and 10 precipitation indices
for extreme events are computed. The findings reveal increasing trends in mean precipitation
for most stations, as well as varying trends in extreme daily precipitation events, often
associated with flooding. However, no significant decreasing trend in precipitation is
observed across all the analyzed stations. The change point detection analysis indicates that
only two stations (Ghardaia and Biskra) exhibit three change points, signifying shifts in either
station data or climate conditions. These findings provide insights into the behavior of
precipitation data series and the specific dates of occurrence for these shifts. Notably, one
station does not show any change point detection. This research aims to contribute to the
understanding of climate change impacts in Algeria's arid and semi-arid regions and enhance
preparedness for future extreme precipitation events
