Optimal placement of water-level sensors to facilitate data-driven management of hydrological infrastructure assets in coastal mega-cities of developing nations-Reference-Cited by-同舟云学术

Optimal placement of water-level sensors to facilitate data-driven management of hydrological infrastructure assets in coastal mega-cities of developing nations

Published:2017-11 Issue: Volume:35 Page:385-395
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Ogie R.I.,Shukla N.,Sedlar F.,Holderness T.

Funder

Australian National Data Service (ANDS)

Department of Foreign Affairs and Trade, Australia (DFAT)

University of Wollongong Global Challenges Program

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference85 articles.

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