Evaluation of the Physicochemical Quality of Dayet Erroumi Lake in Low Water Period (Khemisset, Morocco)

Qryefy, Mohamed El; Najy, Mohamed; Lachhab, Mohamed; Belghytı, Driss; Ouardi, Jamila; Kharrim, Khadija El

doi:10.1145/3399205.3399220

Cited by 2 publications

(2 citation statements)

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“…Lakes, reservoirs and rivers are dynamic ecosystems that are constantly evolving and adapting to their environment (Igouzal and Maslouhi, 2005;El Qryefy et al, 2021). Evaporation is a crucial climatic factor that impacts both plant and animal life.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network and energy budget method to predict daily evaporation of Boudaroua reservoir (northern Morocco)

En-nkhili,

Nizar,

Igouzal

et al. 2023

Journal of Water and Land Development

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Evaporation is one of the main essential components of the hydrologic cycle. The study of this parameter has significant consequences for knowing reservoir level forecasts and water resource management. This study aimed to test the three artificial neural networks (feed-forward, Elman and nonlinear autoregressive network with exogenous inputs (NARX) models) and multiple linear regression to predict the rate of evaporation in the Boudaroua reservoir using the calculated values obtained from the energy budget method. The various combinations of meteorological data, including solar radiation, air temperature, relative humidity, and wind speed, are used for the training and testing of the model's studies. The architecture that was finally chosen for three types of neural networks has the 4-10-1 structure, with contents of 4 neurons in the input layer, 10 neurons in the hidden layer and 1 neuron in the output layer. The calculated evaporation rate presents a typical annual cycle, with low values in winter and high values in summer. Moreover, air temperature and solar radiation were identified as meteorological variables that mostly influenced the rate of evaporation in this reservoir, with an annual average equal to 4.67 mm•d -1 . The performance evaluation criteria, including the coefficient of determination (R 2 ), root mean square error (RMSE) and mean absolute error (MAE) approved that all the networks studied were valid for the simulation of evaporation rate and gave better results than the multiple linear regression (MLR) models in the study area.

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Section: Introductionmentioning

confidence: 99%

Artificial neural network and energy budget method to predict daily evaporation of Boudaroua reservoir (northern Morocco)

En-nkhili,

Nizar,

Igouzal

et al. 2023

Journal of Water and Land Development

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“…Several previous studies [9] and [10] have evaluated the physico-chemical and metallic quality of lake dayet Er-Roumi's water. These studies have shown that Dayet Er-Roumi lake has a strong mineralization (a high salinity, with a dominance of chlorides), and significant metal pollution (Al, Mn, and Pb...), which reflects the direct influences of anthropogenic activity (intensive and uncontrolled use of phytosanitary products, wastewater, and domestic discharges...) on the ecological quality of the lake, which requires a complete diagnosis of the current situation and rigorous monitoring of its evolution.…”

Section: Introductionmentioning

confidence: 99%

The physicochemical characteristics and the pollution level of Dayet Er-Roumi Lake in Morocco

et al. 2021

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The management of natural surface water resources requires an understanding and knowledge of water quality. The Lake Dayet Er-Roumi (classified as a Site of Biological and Ecological Interest (SIBE)) is the only permanent continental lake of low altitude in Morocco, this international attraction site is subject to various sources of anthropogenic pollution, in addition to the effects of climate change (thermal variability, lack of precipitation, etc.). The objective of this work is to quantify and assess the quality of the waters lake, and its tributaries through Spatio-temporal monitoring of several physicochemical parameters during two seasons (winter and summer) of the year 2019. All the physicochemical analysis (such as temperature, hydrogen potential, electrical conductivity, dissolved oxygen, nitrates, orthophosphates, and chlorides) were carried out at 7 study stations (5 stations at lake level and 2 stations representing the tributaries). Statistical calculation of the data set revealed high concentrations of chlorides in both seasons and orthophosphates during the summer season, with average nitrate concentrations during the winter season. The results obtained show that the pH of the water is basic with a very high electrical conductivity showing a load of water in different minerals. These results greatly exceed the standards of fish water quality and surface water quality. They show that the lake Dayet Er-Roumi is polluted. Strategies to limit the pollution of the lake must be implemented by decision-makers at all levels, in order to avoid several ecological problems (fish mortality for example).

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Evaluation of the Physicochemical Quality of Dayet Erroumi Lake in Low Water Period (Khemisset, Morocco)

Cited by 2 publications

References 1 publication

Artificial neural network and energy budget method to predict daily evaporation of Boudaroua reservoir (northern Morocco)

Artificial neural network and energy budget method to predict daily evaporation of Boudaroua reservoir (northern Morocco)

The physicochemical characteristics and the pollution level of Dayet Er-Roumi Lake in Morocco

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