The chemical characterization of the Ghis-Nekor groundwater has become a concern of many researchers in Morocco. It is a crucial indicator for the environment situation and the socioeconomic development of this Moroccan region. Indeed, it helps decisionmakers carry out conscious and sustainable management. For this reason, 20 samples of the Ghis-Nekor aquifer were examined in terms of physicochemical parameters such as pH, temperature, electrical conductivity (EC), and total alkalinity (Alk), major cations–anions (Ca2+, Mg2+, Na+, K+, HCO3−, Cl−, SO42−, NO3−, and TDS), isotopic elements (δ18O, δ2H, and δ13C), and concentrations of Br and Sr anions in 2020. Furthermore, spatial data analysis with a geographic information system (GIS) using the ArcGis software (Redlands, California, USA). Indeed, static maps show significant water quality information that helps characterize the groundwater of the study area. The spatial analysis by the GIS indicates that except the EC (from 2630 to 6950 mS/cm), all the physical parameters showed standard concentration values in most of the samples. A significant concentration above the Moroccan norm of groundwater quality for sodium (Na+) from 264.3 to 1500 mg/L, chlorides (Cl−) concentrations from 408.3 to 1510 mg/L, SO42− from 313.1 to 999.2 mg/L, and bicarbonate (HCO3−) from 283.7 to 679.8 mg/L was observed, while all the points exceeded the recommended standards norm for SO42−. Most of the points met the potability standards for potassium (K+). In terms of the isotopic elements, the concentration values of δ18O were from −3.92‰ to –5.60‰, while the δ2H concentration values varied between −28.67‰ and −39.99‰. The analysis revealed values of carbon isotope δ13C ranging between −3.15‰ and −8.61‰, thus suggesting that the origin of the carbon is mineral, mainly deriving from calcite dissolution. The analysis of the bromide and strontium contents made it possible to discriminate the origin of the salinity anomalies. The Cl/Br, Br/Cl, and Sr/Ca molar ratios distinguished the areas of influence of geological setting (saliferous facies outcrops) or anthropogenic effect (wastewater). The results of the analysis shed light on factors of contamination, which are as follows: urban zones (Imzourene, Ait Youssef, and Souani) and agricultural activities. Therefore, the use of these waters could pose a risk to the health of humans and animals. Similarly, the GIS is a practical and effective tool for the Ghis-Nekor groundwater quality diagnostics and could help decisionmakers establish solutions.
Surface water is used for a variety of purposes, including agriculture, drinking water, and other services. Therefore, its quality is crucial for irrigation, human welfare, and health. Thus, the main objective is to improve surface water quality assessment and geochemical analysis to evaluate anthropogenic activities’ impact on surface water quality in the Oued Laou watershed, Northern Morocco. Thirteen surface water samples were characterized for 26 physicochemical and biological parameters. In this aspect, emerging techniques such as multivariate statistical approaches (MSA), water quality indices (WQI), irrigation water quality (IWQI), and Geographic Information System (GIS) were employed to identify the sources of surface water pollution, their suitability for consumption, and the distribution of surface water quality. The results showed that the major ion concentrations were reported in the following order: Ca2+, Na+, Mg2+, and K+; and HCO3− > CO32− > Cl− > SO42− > NO3− > F− > PO43− > NO2−. It was also demonstrated that almost all parameters had concentrations lower than World Health Organization (WHO) limits, except for bicarbonate ions (HCO3−) and the biochemical oxygen demand for five days (BOD5), which exceeded the WHO limits at 120 mg/L and 3 mg/L, respectively. Furthermore, the types of Ca2+-HCO3− (Calcium-Bicarbonate) and Ca2+-Mg2+-HCO3− (Calcium-Magnesium-Bicarbonate) predominated in surface water. The Principal Component Analysis (PCA) indicates that the Oued Laou river was exposed to two forms of contamination, the first being attributed to anthropogenic activities such as agriculture, while the second reflects the water-sediment interaction. The Hierarchical Cluster Analysis (HCA), reflecting the mineralization in the study area, has classified the samples into four clusters. The Inverse Distance Weighting (IDW) of the WQI indicates that 7.69% and 38.46% of the surface water represent, respectively, excellent and good quality for drinking. At the same time, the IWQI revealed that 92.30% of the water surface is good for irrigation. As a result, the combination of WQIs, PCA, IWQI, and GIS techniques is effective in providing clear information for assessing the suitability of surface water for drinking and its controlling factors and can also support decision-making in susceptible locations such as the Oued Laou river in northern Morocco.
Groundwater is one of the important determinants of human health in many regions of Morocco. Indeed, it is one of the government’s top concerns. However, slow and wrong decisions are hindering the advancement of the quality of groundwater in Morocco. The traditional monitoring methods are costly, time-consuming, and human-resource-intensive, especially in such a developing country. An exploratory study was conducted in the Jouamaa Hakama region in Morocco to test and compare groundwater quality using in situ measurements, water quality indices (WQIs), and a fuzzy logic (FL) method. The methodology followed in this study involves using and comparing four WQIs and FL based on in situ measurements at nine different wells along the Ouljat Echatt River downstream of the Chrafate wastewater treatment station. Twelve physical–chemical and bacteriological parameters: potential of hydrogen (pH), temperature (T°), turbidity (TURB), chemical oxygen demand (COD), biochemical oxygen demand in five days (BOD5), suspended matter (SM), phosphate (PO43-), nitrite (NO2−), nitrate (NO3−), ammonium (NH4+), dissolved oxygen (DO), electrical conductivity (EC), and fecal coliforms (FC) were measured in 2016 and 2017. The results show that all wells are of poor quality according to FL and WQIs; the Weighted Geometric WQI and Oregon WQI indicate that the groundwater is below the acceptable standard for human consumption, while the Weighted Arithmetic WQI and Logarithmic WQI indicate that the majority of wells are of good quality. These tested indices represent an excellent tool to support decision making and can be highly helpful in monitoring groundwater quality in vulnerable areas such as the Jouamaa Hakama region in the north of Morocco.
The target of our study is to follow the physicochemical quality of raw and purified wastewater by STEP Chrafate in Tangier Morocco. In this unique situation, inspecting was done at 9 stations examination partitioned in two periods: the wet time frame and the dry time frame, each including 9 tests in the shallow waters. The Suspended Matters, Nitrogen, Phosphate, Nitrite, Nitrate and Ammonium are the primary parameters examined so as to build up a finding of condition of the shallow waters contamination in our general vicinity consider.The examination of these parameters uncovered that the substance of these components remain anyway high and demonstrate, generally, a danger of real contamination of the waters of Oued Ouljat Echatt and Ibn Batouta dam. Be that as it may, the utilization of these waters could represent a noteworthy wellbeing hazard for clients of this water as drinking water, water system, domesticated animals watering and washing.
The present study seeks to determine the water quality of wells located in the Jouamaa Hakama commune (Northern Morocco). In this order, nine water samples were collected from wells used by local residents during two sampling campaigns in December 2016 and June 2017. The samples collection was followed by the laboratory analysis for measuring the water Physico-chemical characteristics including pH, temperature (T°), Conductivity (Cond), Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD5), Dissolved Oxygen (DO), Suspended Matter (SM), Turbidity, Nitrite, Nitrate, Ammonium and Phosphate. Also, spatial data analysis has been done using Geographic Information System (GIS) by ArcGis software to show a statics map with significant water quality information for the studied wells. The spatial analysis showed higher concentrations exceed the Moroccan groundwater quality values in P6 and P8 for the EC in 2016 and 2017. Similarly, for the turbidity, higher values recorded in P8, while the DO concentration was significant in P6, P8 and P9, other sampling points indicate values close and inferior to water quality standards. P3, P4, and P8 showed higher Ammonium, Nitrite and phosphate values during the summer period of 2017. The analysis results shed light on contamination factors: domestic activities and agricultural activities in urban zones (Hakama and Jouamaa). However, the use of these waters could pose a risk to the health of human and animals. Similarly, The GIS is a practical, innovative and effective tool for the Jouamaa groundwater quality diagnostic and could help decision-makers establish solutions.
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