Smart cities and hydroinformatics

Elisa Coraggio*, Theo Tryfonas, Dawei Han

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

Abstract

This book chapter describes the evolutionary journey of cities with relevance to hydroinformatics: all the significant steps and advancement in technology from the primitive form of urbanization to the conceptualization and creation of modern smart cities. A smart city is characterized by the interaction between three conceptual components: technology, people and institutions assessed and developed through six distinct characteristics: economy, people, governance, mobility, environment and living. With the growing world population, the amount of clean and fresh water required in cities is increasing. Although water is part of critical urban infrastructure, many smart cities do not include smart water management in their visions. Hydroinformatics is the key link between smart cities and smart water management. It is a science that is not only about modeling and decisions support, but it also considers the social dimension of water cycle management, including social needs, concerns, and consequences. Hydroinformatics takes full advantage of the proliferation of remotely sensed information from space and ground-based sensors with increased capabilities in terms of spatial and temporal resolutions generated by the advancements in smart city technologies. Applications of hydroinformatics in the urban environment have increased in recent years. Smart cities technologies and infrastructures offer the potential of linking together all the aspects of the urban water cycle and can lead to the development of an integrated smart water cycle management.
Original languageEnglish
Title of host publicationElsevier
PublisherElsevier
Pages1-15
Number of pages15
VolumeVolume II : Advanced Machine Learning Techniques
ISBN (Electronic)978-0-12-821961-4
DOIs
Publication statusPublished - 1 Jan 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Inc. All rights reserved.

Structured keywords

  • Water and Environmental Engineering

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