Integrated modelling of the Sebou catchment area | Geographic information systems, remote sensing and hydrological modeling

Khalid Chadli

ISBN 10: 620332020X / ISBN 13: 9786203320206

Published by Our Knowledge Publishing, 2021

About this Item

Integrated modelling of the Sebou catchment area | Geographic information systems, remote sensing and hydrological modeling | Khalid Chadli | Taschenbuch | Englisch | 2021 | Our Knowledge Publishing | EAN 9786203320206 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 119704128

Bibliographic Details

• Title: Integrated modelling of the Sebou catchment area | Geographic information systems, remote sensing and hydrological modeling
• Publisher: Our Knowledge Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 620332020X
• ISBN 13: 9786203320206
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 155 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The catchment area of Oued Sebou located in the North West of Morocco, is one of the most important basins of the kingdom. Many obstacles to the sustainable development of the Sebou basin are recognized, which are due to human activity (deforestation, uncontrolled urbanization, pollution.), while others are more natural (spatial and temporal variation of rainfall, droughts, floods, etc ...). An integrated approach combining geographic information systems, remote sensing and hydrological modelling has been adopted within the framework of this work for the identification and characterisation of the factors and causes underlying this degradation, in order to propose an appropriate development plan.The results of this study indicate that the basin has a high degree of runoff and that 78.83% of the study area presents a low risk of erosion, 17.63% a medium risk, 3.04% a high risk and 0.77% a very high risk.The water balance generated by the SWAT model shows a predominance of evapotranspiration which represents 65% of precipitation. This study can represent a tool to help resource management.