New study predicts extreme rainfalls in Algeria, impacting agriculture and infrastructure.
The study analyzed extreme rainfall in Khemis-Miliana, Algeria from 1975-2006 to understand the risk of damage to agriculture, infrastructure, and drought. They used statistical methods to find the best fitting distributions for the data. The block maxima method was used with the generalized extreme value distribution, and the peak over threshold method with the generalized Pareto distribution. Parameters were estimated using maximum likelihood estimation and probability weighted moments. The study calculated T-years return levels for different time periods.