GIS, Applied Computing and Data Science for Water Management

Noamen Rebai

ISBN 10: 3031630378 / ISBN 13: 9783031630378

Published by Springer, Palgrave Macmillan Aug 2024, 2024

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch.

Seller Inventory # 9783031630378

Bibliographic Details

• Title: GIS, Applied Computing and Data Science for Water Management
• Publisher: Springer, Palgrave Macmillan Aug 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 3031630378
• ISBN 13: 9783031630378
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 20D millimeters 241 millimeters width by 160 millimeters height by 20 millimeters depth
• Weight: 619 grams

About this title

Synopsis

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.