Generative AI and Optimization Techniques for Sustainable Water Management

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Generative AI and Optimization Techniques for Sustainable Water Management

Optimization Sustainability Artificial intelligence

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Collection: Springer Optimization and Its Applications

Language: English

Published by: Springer

Published on: 27th May 2026

Format: LCP-protected ePub

ISBN: 9783032190123


Introduction

This book examines the transformative potential of Generative Artificial Intelligence (GenAI) in addressing one of the most urgent global challenges: sustainable water management. It investigates how GenAI provides innovative tools for predicting water demand, optimizing resource allocation, and reducing the impacts of climate change.

Content Overview

The book includes state-of-the-art contributions from experts in GenAI, optimization techniques, and water management, offering a comprehensive and interdisciplinary approach to the subject.

Key Concepts

The book explores key concepts, including the integration of advanced algorithms with real-world case studies, bridging the gap between cutting-edge technological innovation and practical water management strategies. The chapters delve into topics like government policy impacts, optimization techniques for pollution control, and AI-powered predictive models for aquaculture.

Target Audience

This book is a must-read for those seeking to understand the role of GenAI in creating a smart and resilient future for water management. Essential for researchers, policymakers, and professionals in environmental science, agriculture, and sustainability, this book provides valuable knowledge and innovative approaches to addressing global water challenges.

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