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GIS, Applied Computing and Data Science for Water Management: Lecture Notes in Geoinformation and Cartography

Editat de Noamen Rebai, Aniss Moumen, Mohamed El Bouhaddioui
en Limba Engleză Hardback – 7 aug 2024
This book contains a selection of the best articles presented at the 4th International Conference GIRE3D - Participatory and Integrated Management of Water Resources in Arid Zones, November 23th-25th , Help at Laayoune - Morocco, co-organized by Moroccan Committee of the International Hydraulics Association (CM-AIH) and Hydraulic basin agency of Sakia El Hamra and Oued Eddahab (ABHSHOD). It discusses the role of computational and geospatial technologies for water resources sustainable management and is intended primarily for professional, researchers, teachers and postgraduate students in fields that can benefit from geoinformation—both within and outside the areas of geographic information science, modelling and optimization.
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Specificații

ISBN-13: 9783031630378
ISBN-10: 3031630378
Pagini: 268
Ilustrații: X, 290 p. 60 illus.
Dimensiuni: 160 x 241 x 20 mm
Greutate: 0.57 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Geoinformation and Cartography
Seria Lecture Notes in Geoinformation and Cartography

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

This book contains a selection of the best articles presented at the 4th International Conference GIRE3D - Participatory and Integrated Management of Water Resources in Arid Zones, November 23th-25th , Help at Laayoune - Morocco, co-organized by Moroccan Committee of the International Hydraulics Association (CM-AIH) and Hydraulic basin agency of Sakia El Hamra and Oued Eddahab (ABHSHOD). It discusses the role of computational and geospatial technologies for water resources sustainable management and is intended primarily for professional, researchers, teachers and postgraduate students in fields that can benefit from geoinformation—both within and outside the areas of geographic information science, modelling and optimization.

Caracteristici

Contains Machine Learning applications for water resources Presents the contribution of computational techniques and data science methods for water resources Includes a chapter about inventory and assessment of water resources and groundwater in Morocco from 2010 to 2020 Contains GIS application for water resources and hydrological modelling