GIS, Applied Computing and Data Science for Water Management - Rebai, Noamen; Moumen, Aniss; El Bouhaddioui, Mohamed; (ed.) - Prospero Internet Bookshop
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Product details:
ISBN13:9783031630378
ISBN10:3031630378
Binding:Hardback
No. of pages:257 pages
Size:235x155 mm
Language:English
Illustrations: 5 Illustrations, black & white; 113 Illustrations, color
668
Category:

GIS, Applied Computing and Data Science for Water Management

Selected Papers of the 4th International Conference GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones
 
Edition number: 2024
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
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EUR 213.99
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Short description:

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.

Long description:

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.