Description
Clean and reliable water underpins environmental sustainability, public health, and economic development, yet growing urbanization, population pressures, and industrial activity are straining conventional monitoring approaches. This book charts the shift from periodic laboratory testing to intelligent, real-time water quality monitoring systems enabled by the Internet of Things (IoT). It introduces essential IoT architectures, sensor integration, and communication protocols while explaining how key parameters such as pH, dissolved oxygen, turbidity, conductivity, and temperature are measured in real-world deployments. Practical guidance on sensor selection, calibration, maintenance, and cost-effective system design ensures the discussion remains grounded in implementation realities. Beyond data collection, the book explores real-time visualization platforms, predictive analytics, artificial intelligence, and early-warning frameworks that support proactive water management and rapid decision-making. By combining sensing technologies with advanced data analytics and decision-support tools, this volume serves as a vital resource for students, researchers, engineers, industry practitioners, and policymakers committed to developing sustainable, high-impact IoT-based solutions for safeguarding water quality.
