Registro Completo |
Biblioteca(s): |
Epagri-Sede. |
Data corrente: |
29/11/2019 |
Data da última atualização: |
29/11/2019 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
GARBOSSA, L. H. P.; NOVAES, A. L. T.; LAPA, K. R. |
Título: |
Low-Cost Automation for Hydrological Monitoring in Water Resources Management. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: INTERNATIONAL ELECTRONIC CONFERENCE ON WATER SCIENCES, 4., 2019, on-line. Proceedings... Basel, Switzerland: MDPI, 2019. p. 1-6. |
Idioma: |
Inglês |
Conteúdo: |
To proper manage water resources a key component is the data acquisition through environmental monitoring. However, the cost of professional sophisticated hydrological monitoring equipment?s may be prohibitive for many locations around the world. This work aims to develop a low-cost data collection platform (L-DCP) to be used to densify the hydrological monitoring network for rainfall, small rivers level and water temperature. Low cost sensors were compared to professional ones and presented an excellent correlation, with coefficient of determination greater than 0.99 for temperature. The L-DCP was kept activated and collecting data for over 150 days without major problems. The low-cost solution has, approximately, 9% of the cost of a professional solution. |
Palavras-Chave: |
Arduino; hydrological monitoring; low-cost. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01379naa a2200181 a 4500 001 1129202 005 2019-11-29 008 2019 bl uuuu u00u1 u #d 100 1 $aGARBOSSA, L. H. P. 245 $aLow-Cost Automation for Hydrological Monitoring in Water Resources Management.$h[electronic resource] 260 $c2019 520 $aTo proper manage water resources a key component is the data acquisition through environmental monitoring. However, the cost of professional sophisticated hydrological monitoring equipment?s may be prohibitive for many locations around the world. This work aims to develop a low-cost data collection platform (L-DCP) to be used to densify the hydrological monitoring network for rainfall, small rivers level and water temperature. Low cost sensors were compared to professional ones and presented an excellent correlation, with coefficient of determination greater than 0.99 for temperature. The L-DCP was kept activated and collecting data for over 150 days without major problems. The low-cost solution has, approximately, 9% of the cost of a professional solution. 653 $aArduino 653 $ahydrological monitoring 653 $alow-cost 700 1 $aNOVAES, A. L. T. 700 1 $aLAPA, K. R. 773 $tIn: INTERNATIONAL ELECTRONIC CONFERENCE ON WATER SCIENCES, 4., 2019, on-line. Proceedings... Basel, Switzerland: MDPI, 2019. p. 1-6.
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