Water quality, biological quality, and human well-being: Water salinity and scarcity in the Draa River basin, Morocco

Kaczmarek, Nils; Mahjoubi, Imane; Benlasri, Mokhtar; Nothof, Maren; Schäfer, Ralf B.; Frör, Oliver; Berger, Elisabeth

doi:10.1016/j.ecolind.2023.110050

Cited by 10 publications

(2 citation statements)

References 71 publications

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“…Morocco's coastal areas have undergone intense socioeconomic development [27]. In these areas, water is a precious and essential natural resource for multiple uses [7], but it faces various challenges: the scarcity of this resource [12], a semi-arid and arid climate [21], as well as the impact of anthropogenic activities [20]. River ecosystems are increasingly under threat [21], and awareness of the importance of water quality is becoming paramount [2].…”

Section: Introductionmentioning

confidence: 99%

Assessment of water quality in the Oued Kert (Eastern Rif, Morocco): Physicochemical analyses and heavy metals

Loukili,

Akodad,

Baghour

et al. 2024

E3S Web Conf.

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Water resources are vital for life, yet they are exposed to various risks. In the estern Rif of Morocco, the Oued Kert is a crucial water resource for a large population. Therefore, evaluating their health status is essential to ensure their optimal preservation. In this context, five stations (S1, S2, S3, S4, and S5) were monitored, during the four campaigns (September, December, March, and June 2022), to assess the physicochemical quality of water. In this sense, seven parameters were measured, temperature, pH, electrical conductivity (EC), Biochemical oxygen demand (BOD5), Chemical oxygen demand (COD), nitrates, and ammonium. In addition, an evaluation of metal contamination was conducted during a single campaign (May 2022) by measuring four elements (Al, Fe, Li, and Mn). The levels of electrical conductivity (greater than 3000 μS cm-1), and COD (greater than 40mg L-1 in S2, S3, and S4) indicate poor water quality, while, the average concentrations of ammonium classify these waters as of moderate quality. The results of metal contamination revealed the presence of iron (Fe) at a concentration of 1.9 mg L-1 in S5, classifying these waters as of moderate quality according to Moroccan water quality standards.

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Section: Introductionmentioning

confidence: 99%

Assessment of water quality in the Oued Kert (Eastern Rif, Morocco): Physicochemical analyses and heavy metals

Loukili,

Akodad,

Baghour

et al. 2024

E3S Web Conf.

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“…Freshwater plays a critical role in humans, and the global freshwater supply available for human utilization and consumption is severely limited, accounting for only 2% of the Earth’s total water content, despite the fact that water covers approximately 70% of the planet’s surface [ 1 , 2 ]. However, the quality of freshwater in numerous inland lakes is under severe threat and degradation as a result of various anthropogenic factors, such as land-use changes, discharge of untreated sewage, non-point source pollution from urban and agricultural regions, and other human activities [ 3 , 4 , 5 , 6 ]. In recent decades, a predominant trend observed in lakes worldwide is the escalation of organic matter concentrations [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

A New Method for Spatial Estimation of Water Quality Using an Optimal Virtual Sensor Network and In Situ Observations: A Case Study of Chemical Oxygen Demand

Zhao

2023

Sensors

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Accurate water quality estimation is important for water environment monitoring and water resource management and has emerged as a pivotal aspect of ecological rehabilitation and sustainable development. However, due to the strong spatial heterogeneity of water quality parameters, it is still challenging to obtain highly accurate spatial patterns of them. Taking chemical oxygen demand as an example, this study proposes a novel estimation method for generating highly accurate chemical oxygen demand fields in Poyang Lake. Specifically, based on the different water levels and monitoring sites in Poyang Lake, an optimal virtual sensor network was first established. A Taylor expansion-based method with integration of spatial correlation and spatial heterogeneity was developed by considering environmental factors, the optimal virtual sensor network, and existing monitoring stations. The proposed approach was evaluated and compared with other approaches using a leave-one cross-validation process. Results show that the proposed method exhibits good performance in estimating chemical oxygen demand fields in Poyang Lake, with mean absolute error improved by 8% and 33%, respectively, on average, when compared with classical interpolators and remote sensing methods. In addition, the applications of virtual sensors improve the performance of the proposed method, with mean absolute error and root mean squared error values reduced by 20% to 60% over 12 months. The proposed method provides an effective tool for estimating highly accurate spatial fields of chemical oxygen demand concentrations and could be applied to other water quality parameters.

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Climate vulnerability and adaptation strategies in the Zagora Oasis, southern Morocco: a time series analysis and projection to 2050

Amiha,

Kabbachi,

Ait Haddou

et al. 2024

Theor Appl Climatol

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Water quality, biological quality, and human well-being: Water salinity and scarcity in the Draa River basin, Morocco

Cited by 10 publications

References 71 publications

Assessment of water quality in the Oued Kert (Eastern Rif, Morocco): Physicochemical analyses and heavy metals

Assessment of water quality in the Oued Kert (Eastern Rif, Morocco): Physicochemical analyses and heavy metals

A New Method for Spatial Estimation of Water Quality Using an Optimal Virtual Sensor Network and In Situ Observations: A Case Study of Chemical Oxygen Demand

Climate vulnerability and adaptation strategies in the Zagora Oasis, southern Morocco: a time series analysis and projection to 2050

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