ICT for smart water systems : measurements and data science / volume editors, Andrea Scozzari, Steve Mounce, Dawei Han, Francesco Soldovieri, Dimitri Solomatine ; with contributions by C. Agudelo-Vera [and twenty others].
Scozzari, Andrea, editor.; Mounce, Steve, editor.; Han, Dawei, editor.; Soldovieri, Francesco, editor.; Solomatine, Dimitri P., editor.
2021
TD484
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title ICT for smart water systems : measurements and data science / volume editors, Andrea Scozzari, Steve Mounce, Dawei Han, Francesco Soldovieri, Dimitri Solomatine ; with contributions by C. Agudelo-Vera [and twenty others].
ISBN 9783030619732 (electronic bk.)
3030619737 (electronic bk.)
9783030619725
3030619729
DOI https://doi.org/10.1007/978-3-030-61973-2
Published Cham : Springer, [2021]
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-61973-2 doi
Call Number TD484
Dewey Decimal Classification 628.1028/7
Summary Today, Information and Communication Technologies (ICT) have a pervasive presence in almost every aspect of the management of water. There is no question that the collection of big data from sensing and the insights gained by smart analytics can bring massive benefits. This book focuses on new perspectives for the monitoring, assessment and control of water systems, based on tools and concepts originating from the ICT sector. It presents a portrait of up-to-date sensing techniques for water, and introduces concepts and implications with the analysis of the acquired data. Particular attention is given to the advancements in developing novel devices and data processing approaches. The chapters guide the reader through multiple disciplinary contexts, without aiming to be exhaustive, but with the effort to present relevant topics in such a highly multi-disciplinary framework. This book will be of interest to advanced students, researchers and stakeholders at various levels.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 4, 2021).
Added Author Scozzari, Andrea, editor.
Mounce, Steve, editor.
Han, Dawei, editor.
Soldovieri, Francesco, editor.
Solomatine, Dimitri P., editor.
Series Handbook of environmental chemistry (2010) ; v. 102.
Available in Other Form Print version: 9783030619725
Print version: 9783030619749
Print version: 9783030619756
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Data science trends and opportunities for smart water utilities
Review of Techniques for Optimal Placement of Pressure and Flow Sensors for Leak/Burst Detection and Localisation in Water Distribution Systems
A bird's-eye view of data validation in the drinking water industry of The Netherlands.-Monitoring and controlling a smarter wastewater treatment system: a UK perspective
Using Radial Basis Function for Water Quality Events Classification
Promoting Smart Water Systems in Developing Countries through Innovation Partnerships: Evidence from VIA Water-supported projects in Africa
Exploring assimilation of Crowdsourcing Observations into Flood Models
Precipitation measurement with weather radar
Satellite Remote Sensing of Soil Moisture for Hydrological Applications: A Review of Issues to Be Solved
Spectroscopic Methods for Online Water Quality Monitoring
Quartz-Crystal Microbalance sensors: new tools for the assessment of organic threats to the quality of water.

Browse Subjects

Show more subjects...

Statistics

from
to
Export