Water Suitability Analysis : Advanced Research Approaches for Sustainable and Resilient Resource Management
Book Details
Format
Paperback / Softback
ISBN-10
1041162472
ISBN-13
9781041162476
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 19th, 2026
Print length
204 Pages
Weight
430 grams
Dimensions
24.40 x 17.40 x 1.20 cms
Product Classification:
Development studiesDevelopment studiesEnergy industries & utilitiesEnergy industries and utilitiesHydrology & the hydrosphereHydrology and the hydrosphereCivil engineering, surveying & buildingCivil engineering, surveying and buildingWater supply & treatmentWater supply and treatmentDigital and Information technology: general topicsInformation technology: general issuesArtificial intelligenceArtificial intelligence (AI)
Ksh 10,100.00
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This edited volume presents a comprehensive exploration of modern techniques and methodologies for evaluating water quality and suitability. It bridges traditional experimental approaches with cutting-edge artificial intelligence and remote sensing tools, offering an innovative perspective on sustainable water resource management.
This edited volume presents a comprehensive exploration of modern techniques and methodologies for evaluating water quality and suitability. It bridges traditional experimental approaches with cutting-edge artificial intelligence and remote sensing tools, offering an innovative perspective on sustainable water resource management. It delves into multidisciplinary insights that combine environmental science, data analytics, and hydrological modeling. Key topics include experimental water quality analysis, GIS-based assessment, groundwater and surface water case studies, and AI applications in hydroinformatics. Readers will benefit from practical frameworks, real-world case studies, and research-driven solutions designed to address complex challenges in water suitability evaluation. This is an essential resource for researchers, academicians, environmental engineers, policymakers, and postgraduate students working in water resource management, environmental sustainability, and artificial intelligence applications. It serves as both a reference guide and an inspiration for professionals seeking to implement intelligent, data-driven, and sustainable approaches to water assessment and planning.
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