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Advisor(s)
Abstract(s)
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.
Description
Keywords
Urban monitoring Water stream channels Water level measurement Image processing . Faculdade de Ciências Exatas e da Engenharia
Citation
Azevedo, J. A., & Brás, J. A. (2021). Measurement of water level in urban streams under bad weather conditions. Sensors, 21(21), 7157.
Publisher
MDPI