ECOMSNet – An edge computing-based sensory network for real-time water level prediction and correction-Reference-Cited by-同舟云学术

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ECOMSNet – An edge computing-based sensory network for real-time water level prediction and correction

Published:2020-09 Issue: Volume:131 Page:104771
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Yang Tsun-Hua,Wang Chia-Wei,Lin Sheng-Jhe

Funder

National Chiao Tung University

Ministry of Education

Ministry of Science and Technology (MOST) of Taiwan

MOST

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference34 articles.

1. Real-Time early warning system design for pluvial flash floods—a review;Acosta-Coll;Sensors,2018

2. Communication architecture of an early warning system;Angermann;Nat. Hazards Earth Syst. Sci.,2010

3. Uncertainty in the estimation of backwater effects at bridge crossings;Brandimarte;Hydrol. Process.,2013

4. Building an intelligent hydroinformatics integration platform for regional flood inundation warning systems;Chang;Water,2018

5. Open-Channel Flow;Chaudhry,2007

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