This study investigates the relationship between groundwater quality and agricultural productivity across six experimental stations in Morocco: Doukkala, Bahira, Tassaout, Beni Amir, Beni Moussa and Tadla. To assess groundwater suitability for irrigation, a comprehensive suite of indices was...

This study aims to create complete surface water quality maps for the Oum Er Rabia watershed by predicting nitrates (NO3-) and water quality index (WQI) values at unsampled locations. Utilizing a combination of NO3-, IQE data, and ArcGIS Pro software. Water samples were collected from 40 stations...

Groundwater resources in Morocco are critical for agricultural and domestic use, yet they face increasing pressures from environmental changes and human activities. This study investigates the seasonal and temporal dynamics of groundwater quality in Doukkala (western Morocco) by analyzing...

Groundwater analysis across the Oum Rbia watershed is currently hampered by technical constraints and high costs. This research aims to produce comprehensive groundwater quality maps throughout the basin's aquifers by integrating the Water Quality Index (WQI) and Microbiological Quality Index...

Consecutive years of droughts and increasing human pressure heighten the vulnerability of Oum Er Rbia water to pollution. This study presents a comprehensive evaluation of water quality in the Oum Er Rbia River, employing a multifaceted approach encompassing physicochemical parameters, undesirable substances, toxic compounds, and bacteriological traits. In this study, 26 physicochemical and 3 biological parameters (SF, CF, CT) were analyzed along the Oum Er Rbia River at 10 different stations during the seasons of the years 2020 to 2022. The analysis assessed the water samples against Moroccan drinking water standards and the recommended values set by the World Health Organization (WHO) to evaluate their conformity. A comprehensive analysis of the results revealed notable deviations from the stipulated standards at certain stations, indicating potential concerns regarding the suitability of drinking water. The findings revealed a significant variation in the concentrations of all traits among the analyzed stations and years. Analysis of the second-year data showed the highest concentration of physicochemical traits. Thus, the bacteriological analyses induced contamination of all experimental stations by total coliforms, faecal coliforms, and faecal streptococci. Furthermore, the data multivariate analyses highlighted three distinctive groups among the studied stations in terms of the polluting substances and found that the most contaminated station was S9, followed by S7. These findings inform environmental monitoring programs and water resources management in the Oum Er Rbia basin. The multifaceted assessment guides interventions to preserve the river's ecological integrity and safeguard the health of dependent communities.