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A platform for research: civil engineering, architecture and urbanism
Predicting of salt water intrusion in the Sebou river estuary (Morocco)
Salt water intrusion in estuary is an urgent environmental challenge across the world, because salinity influences water quality. The Sebou river estuary is an area with high agricultural potential becoming one of the most important industrial zones in Morocco. However, salt water intrusion along the estuary is a natural phenomenon that affects the economic development of the whole region. Analytical models of salinity distribution are simple and efficient tools to study salt intrusion in alluvial estuaries since they require minimum data for their application. In this paper, an analytical model based on Savenije theory is used to assess salinity variation in the Sebou river estuary. A two optimization key parameters of the model (Van Der Burgh's and dispersion coefficients) are estimated by comparing computed and observed salinity distribution for high water slack and low water slack. Additionally, statistical performance evaluation and sensitivity analysis were conducted on the model results. The results show good agreement with salinity observations, which suggests that the predictive model can be used to obtain a first-order estimation of salt intrusion along the Sebou estuary axis.
Predicting of salt water intrusion in the Sebou river estuary (Morocco)
Salt water intrusion in estuary is an urgent environmental challenge across the world, because salinity influences water quality. The Sebou river estuary is an area with high agricultural potential becoming one of the most important industrial zones in Morocco. However, salt water intrusion along the estuary is a natural phenomenon that affects the economic development of the whole region. Analytical models of salinity distribution are simple and efficient tools to study salt intrusion in alluvial estuaries since they require minimum data for their application. In this paper, an analytical model based on Savenije theory is used to assess salinity variation in the Sebou river estuary. A two optimization key parameters of the model (Van Der Burgh's and dispersion coefficients) are estimated by comparing computed and observed salinity distribution for high water slack and low water slack. Additionally, statistical performance evaluation and sensitivity analysis were conducted on the model results. The results show good agreement with salinity observations, which suggests that the predictive model can be used to obtain a first-order estimation of salt intrusion along the Sebou estuary axis.
Predicting of salt water intrusion in the Sebou river estuary (Morocco)
Haddout, Soufiane (author) / Maslouhi, Abdellatif (author) / Igouzal, Mohammed (author)
2017-01-02
11 pages
Article (Journal)
Electronic Resource
English
| Taylor & Francis Verlag | 2019
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