Climate Change In The Guir-Ziz-Gheris Hydraulic Basin: Statistical Study On Temperature
DOI:
https://doi.org/10.64252/bdq95592Keywords:
temperature, classification, prediction, Principal Component Analysis (PCA), Partial Least Squares (PLS), Guir Ziz Rheris basin, altitude.Abstract
Climate change is altering the Earth’s thermal balance and has many consequences for humans and the environment. In Indeed, modern agriculture is optimized to handle the subject of temperature change. This study aims to forecast temperature variations within the Guir-Ziz-Gheris basin located in the Errachidia region. Temperature data for the 1983 to 2015 years have been collected at different meteorological stations in Errachidia province. To investigate the similarities between different years and the correlations among various months, Principal Component Analysis (PCA) was utilized. Preliminary results demonstrate that PCA is useful for classifying years and identifying correlations. To forecast the mean annual temperature (MAT), Partial Least Squares (PLS) regression was employed. This method confirmed the year-to-year similarities (from 1983 to 2015) and the month-to-month correlations previously established by PCA.
