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Water Informatics [electronic resource] : Challenges and Solutions Using State of Art Technologies / edited by Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng.

Contributor(s): Material type: TextSeries: Water Informatics for Water Resource ManagementPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XI, 235 p. 91 illus., 72 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819715183
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • Q325.5-.7
Online resources:
Contents:
An Analysis and Monitoring of Ground Water Quality and Disaster Management -- Presence of Non-biodegradable Polymer in the Hydro-logical Layers -- Applications of Elementary Cellular Automata for Water Informatics -- Identification of Water Potability using Machine Learning Techniques -- Soft Computing Techniques for Flood Prediction.
In: Springer Nature eBookSummary: 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. .
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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An Analysis and Monitoring of Ground Water Quality and Disaster Management -- Presence of Non-biodegradable Polymer in the Hydro-logical Layers -- Applications of Elementary Cellular Automata for Water Informatics -- Identification of Water Potability using Machine Learning Techniques -- Soft Computing Techniques for Flood Prediction.

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. .

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