Climate-Smart Water Resource Management: A Paradigm Shift from Ancient to Modern Practices with Integrated Technologies

Introduction

This volume presents a transformative vision for water resource management in an era of climate uncertainty, bridging millennia-old indigenous wisdom with cutting-edge technologies.

Content Overview

Climate-Smart Water Resource Management: A Paradigm Shift from Ancient to Modern Practices with Integrated Technologies brings together sixteen chapters that span foundational concepts, artificial intelligence and machine learning frontiers, geospatial and remote sensing applications, and a forward-looking synthesis.

From the time-tested bamboo irrigation networks and paddy-cum-fish cultivation of the Apatani tribe in the Indian Himalayas to the use of Sentinel 1 SAR for flood inundation mapping, from entropy-based precipitation complexity analysis to bidirectional LSTM networks for streamflow forecasting, and from Large Language Models reimagining stakeholder engagement to LiDAR-enabled precision topography - this volume demonstrates how the integration of traditional ecological knowledge with AI ML, RS GIS, and LLMs can forge climate-resilient, equitable, and sustainable water futures.

Target Audience and Purpose

Designed for researchers, policymakers, practitioners, and students, the book provides both theoretical depth and implementable strategies, culminating in a call for interdisciplinary collaboration and policy innovation.

Significance

It is an essential compendium for anyone committed to reimagining how humanity governs its most precious resource in a rapidly changing world.

Key Themes

Bridges ancient wisdom with modern AI-ML, RS-GIS, and LLMs

From Apatani tribal practices to flood mapping and streamflow forecasting

Covers diverse real-world applications

Rainfall/streamflow prediction, water quality assessment, watershed prioritization, and aquaculture management

Provides implementable synthesis and policy directions

Distills cross-cutting themes and calls for equitable, technology-driven water governance