Measurement of Water Level in Urban Streams under Bad Weather Conditions

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 wh...

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Autores principales: Joaquim Amândio Azevedo, João André Brás
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/3199c10e574f431884837786e025e9f1
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spelling oai:doaj.org-article:3199c10e574f431884837786e025e9f12021-11-11T19:09:16ZMeasurement of Water Level in Urban Streams under Bad Weather Conditions10.3390/s212171571424-8220https://doaj.org/article/3199c10e574f431884837786e025e9f12021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7157https://doaj.org/toc/1424-8220Flood 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.Joaquim Amândio AzevedoJoão André BrásMDPI AGarticleurban monitoringwater stream channelswater level measurementimage processingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7157, p 7157 (2021)
institution DOAJ
collection DOAJ
language EN
topic urban monitoring
water stream channels
water level measurement
image processing
Chemical technology
TP1-1185
spellingShingle urban monitoring
water stream channels
water level measurement
image processing
Chemical technology
TP1-1185
Joaquim Amândio Azevedo
João André Brás
Measurement of Water Level in Urban Streams under Bad Weather Conditions
description 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.
format article
author Joaquim Amândio Azevedo
João André Brás
author_facet Joaquim Amândio Azevedo
João André Brás
author_sort Joaquim Amândio Azevedo
title Measurement of Water Level in Urban Streams under Bad Weather Conditions
title_short Measurement of Water Level in Urban Streams under Bad Weather Conditions
title_full Measurement of Water Level in Urban Streams under Bad Weather Conditions
title_fullStr Measurement of Water Level in Urban Streams under Bad Weather Conditions
title_full_unstemmed Measurement of Water Level in Urban Streams under Bad Weather Conditions
title_sort measurement of water level in urban streams under bad weather conditions
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/3199c10e574f431884837786e025e9f1
work_keys_str_mv AT joaquimamandioazevedo measurementofwaterlevelinurbanstreamsunderbadweatherconditions
AT joaoandrebras measurementofwaterlevelinurbanstreamsunderbadweatherconditions
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