Measurement of water level in urban streams under bad weather conditions

Azevedo, Joaquim Amândio; Brás, João André

Publication

Measurement of water level in urban streams under bad weather conditions

2021Journal article

dc.contributor.author	Azevedo, Joaquim Amândio
dc.contributor.author	Brás, João André
dc.date.accessioned	2022-07-19T15:09:55Z
dc.date.available	2022-07-19T15:09:55Z
dc.date.issued	2021
dc.description.abstract	Flood control and water resources management require monitoring the water level in rivers and streams. Water level measurement techniques increasingly consider image processing procedures. Most of the systems use a staff gauge to support the waterline detection. However, these techniques can fail when applied to urban stream channels due to water undulation, debris on the water surface, and traces of rain captured by the camera, and other adverse effects on images can be quite dramatic on the results. The importance of considering these effects is that they are usually associated with the variation in the water level with the occurrence of rain. The technique proposed in this work uses a larger detection zone to minimize the effects that tend to obstruct the waterline. The developed system uses an infrared camera to operate during the day and night. Images acquired in different weather conditions helped to evaluate the proposed technique. The water level measurement accuracy was about 1.8 cm for images taken during the day and 2.8 cm for images taken at night. During short periods of heavy rain, the accuracy was 2.6 cm for the daytime and 3.4 cm for the nighttime. Infrared lighting can improve detection accuracy at night. The developed technique provides good accuracy under different weather conditions by combining information from various detection positions to deal with waterline detection issues.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	Azevedo, J. A., & Brás, J. A. (2021). Measurement of water level in urban streams under bad weather conditions. Sensors, 21(21), 7157.	pt_PT
dc.identifier.doi	10.3390/s21217157	pt_PT
dc.identifier.uri	http://hdl.handle.net/10400.13/4429
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	MDPI	pt_PT
dc.relation	Research Centre for Mathematics and Applications
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Urban monitoring	pt_PT
dc.subject	Water stream channels	pt_PT
dc.subject	Water level measurement	pt_PT
dc.subject	Image processing	pt_PT
dc.subject	.	pt_PT
dc.subject	Faculdade de Ciências Exatas e da Engenharia	pt_PT
dc.title	Measurement of water level in urban streams under bad weather conditions	pt_PT
dc.type	journal article
dspace.entity.type	Publication
oaire.awardTitle	Research Centre for Mathematics and Applications
oaire.awardURI	info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04674%2F2020/PT
oaire.citation.issue	21	pt_PT
oaire.citation.startPage	7157	pt_PT
oaire.citation.title	Sensors	pt_PT
oaire.citation.volume	21	pt_PT
oaire.fundingStream	6817 - DCRRNI ID
person.familyName	Azevedo
person.givenName	Joaquim
person.identifier	1622144
person.identifier.ciencia-id	D417-D5FC-FAC3
person.identifier.orcid	0000-0002-9060-7476
person.identifier.rid	N-4211-2013
person.identifier.scopus-author-id	9243995600
project.funder.identifier	http://doi.org/10.13039/501100001871
project.funder.name	Fundação para a Ciência e a Tecnologia
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
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