Water Informatics

 

Editors:Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng

Paperback ISBN:978-981-97-1520-6

eBook ISBN:978-981-97-1518-3

This book provides a clear view of various applications for water resource management using different state-of-the-art technologies such as artificial intelligence, IoT, and cellular automata. The book also shows the analytical part of surface water as well as groundwater bodies to control pollution and save ecology. It gives an idea about the collection of data for disaster management such as flood prediction and flood inoculation. The book provides the fundamental aspects of various computational or simulation methods for surface and underground water body detection, prediction of non-biodegradable elements in water bodies, water potability, and predictions of natural disasters like floods. The book summarizes different aspects of water body challenges and the possible solutions proposed using new technologies. The book opens up a future research direction of dealing with various challenges and solutions based on emerging technologies. This book comes up with a direction for the researchers interested in dealing with various aspects of water challenges and finding solutions using emerging technologies in the new era of modern computations.

Water Informatics
Emerging IT
Hydrology
Interdisciplinary Science
Disaster Management
Surface Water Body
Ground Water Body
Pollution Control
State-of-art Technology

  • Front Matter
  • Identifying the Changes of Mine Water Bodies from Landsat 8 OLI Images in Automated Manner: A Case Study in Jharia, India
  • An Analysis and Monitoring of Groundwater Quality and Disaster Management
  • IoT-Enabled Water Quality Management System for Rural Areas of Bharuch District
  • Identification of Water Potability Using Machine Learning Techniques
  • A Cost-Effective IoT Model-Based Water Quality Testing Model
  • Applications of Cellular Automata in Water Informatics
  • Groundwater Quality Monitoring Using Machine Learning and Image Processing Techniques
  • Algorithms for Water Body Extraction from Remote Sensing Data
  • Simulation of Water Distribution System Using Deep Learning Approaches
  • Stakeholder and Social Network Studies for Management of Water Infrastructure Planning
  • Research Works on Sustainable Management of Water Resources: A Review
  • Water Informatics and Its Emergence: The Context of Foundation, Applications and Latest Technologies
  • IIoT Based Smart Water Quality Monitoring for Sustainable Mining Practices in the Industry 4.0 Era

Department of Computer Science and Engineering, Birla Institute Of Technology Mesra, Ranchi, India
Supreeti Kamilya

Department of Mining Engineering, Kazi Nazrul University, Asansol, India
Arindam Biswas

Department of Creative Technologies and Product Design, National Taipei University of Business, New Taipei, Taiwan
Sheng-Lung Peng

Book Title
Water Informatics

Book Subtitle
Challenges and Solutions Using State of Art Technologies

Editors
Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng

Series Title
Water Informatics for Water Resource Management

DOI
https://doi.org/10.1007/978-981-97-1518-3

Hardcover ISBN
978-981-97-1517-6
Published: 23 June 2024

Softcover ISBN
978-981-97-1520-6
Published: 24 June 2025

eBook ISBN
978-981-97-1518-3
Published: 22 June 2024

Series ISSN
2731-9105

Series E-ISSN
2731-9113

Edition Number
1

Number of Pages
XI, 235

Number of Illustrations
19 b/w illustrations, 72 illustrations in colour

Topics
Machine Learning, Computer Applications, Environment, general

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