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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MDPI AG
2021
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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) |
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urban monitoring water stream channels water level measurement image processing Chemical technology TP1-1185 |
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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 |
_version_ |
1718431575265247232 |