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Open-source, low-cost, in-situ turbidity sensor for river network monitoring
Fine sediment transport in rivers is important for catchment nutrient fluxes, global biogeochemical cycles, water quality and pollution in riverine, coastal and marine ecosystems. Monitoring of suspended sediment in rivers with current sensors is challenging and expensive and most monitoring setups...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209475/ https://www.ncbi.nlm.nih.gov/pubmed/35726001 http://dx.doi.org/10.1038/s41598-022-14228-4 |
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author | Droujko, Jessica Molnar, Peter |
author_facet | Droujko, Jessica Molnar, Peter |
author_sort | Droujko, Jessica |
collection | PubMed |
description | Fine sediment transport in rivers is important for catchment nutrient fluxes, global biogeochemical cycles, water quality and pollution in riverine, coastal and marine ecosystems. Monitoring of suspended sediment in rivers with current sensors is challenging and expensive and most monitoring setups are restricted to few single site measurements. To better understand the spatial heterogeneity of fine sediment sources and transport in river networks there is a need for new smart water turbidity sensing that is multi-site, accurate and affordable. In this work, we have created such a sensor, which detects scattered light from an LED source using two detectors in a control volume, and can be placed in a river. We compare several replicates of our sensor to different commercial turbidity probes in a mixing tank experiment using two sediment types over a wide range of typical concentrations observed in rivers. Our results show that we can achieve precise and reproducible turbidity measurements in the 0–4000 NTU or 0–16g/L range. Our sensor can also be used directly as a suspended sediment sensor and bypass an unnecessary calibration to Formazin. The developed turbidity sensor is much cheaper than existing options of comparable quality and is especially intended for distributed sensing across river networks. |
format | Online Article Text |
id | pubmed-9209475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92094752022-06-22 Open-source, low-cost, in-situ turbidity sensor for river network monitoring Droujko, Jessica Molnar, Peter Sci Rep Article Fine sediment transport in rivers is important for catchment nutrient fluxes, global biogeochemical cycles, water quality and pollution in riverine, coastal and marine ecosystems. Monitoring of suspended sediment in rivers with current sensors is challenging and expensive and most monitoring setups are restricted to few single site measurements. To better understand the spatial heterogeneity of fine sediment sources and transport in river networks there is a need for new smart water turbidity sensing that is multi-site, accurate and affordable. In this work, we have created such a sensor, which detects scattered light from an LED source using two detectors in a control volume, and can be placed in a river. We compare several replicates of our sensor to different commercial turbidity probes in a mixing tank experiment using two sediment types over a wide range of typical concentrations observed in rivers. Our results show that we can achieve precise and reproducible turbidity measurements in the 0–4000 NTU or 0–16g/L range. Our sensor can also be used directly as a suspended sediment sensor and bypass an unnecessary calibration to Formazin. The developed turbidity sensor is much cheaper than existing options of comparable quality and is especially intended for distributed sensing across river networks. Nature Publishing Group UK 2022-06-20 /pmc/articles/PMC9209475/ /pubmed/35726001 http://dx.doi.org/10.1038/s41598-022-14228-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Droujko, Jessica Molnar, Peter Open-source, low-cost, in-situ turbidity sensor for river network monitoring |
title | Open-source, low-cost, in-situ turbidity sensor for river network monitoring |
title_full | Open-source, low-cost, in-situ turbidity sensor for river network monitoring |
title_fullStr | Open-source, low-cost, in-situ turbidity sensor for river network monitoring |
title_full_unstemmed | Open-source, low-cost, in-situ turbidity sensor for river network monitoring |
title_short | Open-source, low-cost, in-situ turbidity sensor for river network monitoring |
title_sort | open-source, low-cost, in-situ turbidity sensor for river network monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209475/ https://www.ncbi.nlm.nih.gov/pubmed/35726001 http://dx.doi.org/10.1038/s41598-022-14228-4 |
work_keys_str_mv | AT droujkojessica opensourcelowcostinsituturbiditysensorforrivernetworkmonitoring AT molnarpeter opensourcelowcostinsituturbiditysensorforrivernetworkmonitoring |