An automated low-cost monitoring station for suspended sediments and water level

The use of low-cost sensors, with open-source code, facilitates greater spatial resolution and flexibility of environmental monitoring, thus generating more information and overcoming limitations of traditional commercial sensors. Measurement of water turbidity using submerged sensors can be problematic in that rapid biofouling requires frequent site visits to remove, clean, calibrate and replace the sensor. We therefore designed an automated system using low-cost commercially-available sensors that pumps water from the stream, samples it for turbidity and purges remaining water, leaving the turbidity sensor dry between measurements, thus greatly reducing the biofouling problem and minimizing operation costs. Our station was able to estimate suspended sediment concentrations between 0 and 6 g/L with a root mean square error (RMSE) around 5 % of the total range, which meets typical research and operational study requirements. The results showed that the monitoring station is capable of monitoring water level and turbidity for long periods without the need of cleaning the turbidity sensor, due to its purge function. We demonstrated that spatially intense measurement of turbidity within catchments and drainage networks can be achieved at a relatively low cost, which allows a better understanding of the main sources of suspended sediments and their spatial and temporal variability.

Authors

Institutions

Publication Details

Journal
HardwareX
Published
2024-10-18
DOI
https://doi.org/10.1016/j.ohx.2024.e00594
Citations
4
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An automated low-cost monitoring station for suspended sediments and water level

Étienne Cossart, Frédéric Cherqui, Oldřich Navrátil, Kathryn Russell et al.
4 citations
HardwareX
Water Quality Monitoring Technologies
0.81
article

An automated low-cost monitoring station for suspended sediments and water level

Étienne Cossart, Frédéric Cherqui, Oldřich Navrátil, Kathryn Russell, Tim D. Fletcher, Maria Gisi, Paulo Vitor Ribeiro Marques De Silva, R.B. James
article en
4 citations

Abstract

The use of low-cost sensors, with open-source code, facilitates greater spatial resolution and flexibility of environmental monitoring, thus generating more information and overcoming limitations of traditional commercial sensors. Measurement of water turbidity using submerged sensors can be problematic in that rapid biofouling requires frequent site visits to remove, clean, calibrate and replace the sensor. We therefore designed an automated system using low-cost commercially-available sensors that pumps water from the stream, samples it for turbidity and purges remaining water, leaving the turbidity sensor dry between measurements, thus greatly reducing the biofouling problem and minimizing operation costs. Our station was able to estimate suspended sediment concentrations between 0 and 6 g/L with a root mean square error (RMSE) around 5 % of the total range, which meets typical research and operational study requirements. The results showed that the monitoring station is capable of monitoring water level and turbidity for long periods without the need of cleaning the turbidity sensor, due to its purge function. We demonstrated that spatially intense measurement of turbidity within catchments and drainage networks can be achieved at a relatively low cost, which allows a better understanding of the main sources of suspended sediments and their spatial and temporal variability.

HardwareXVol. 20
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), The University of Melbourne (AU), Université Lumière Lyon 2 (FR), Environnement, ville, société (FR), Institut National des Sciences Appliquées de Lyon (FR)
Indian National Science Academy, Australian Government, Melbourne Water, Institut National des Sciences Appliquées de Lyon, Université de Lyon, Faculty of Science, University of Melbourne
Openalex Percentile: Top 29%
Water Quality Monitoring Technologies
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.