Low cost automation as an alternative for hydrological monitoring

Authors

DOI:

https://doi.org/10.52945/rac.v33i3.795

Keywords:

monitoring, hydrology, microprocessor

Abstract

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 aimed to develop and test a low-cost data collection platform (PCD-B) 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 result, with 100% of the tipping bucket rain records, distance sensor recorded correctly 97.3% and the coefficient of determination greater than 0.99 for water and air temperature. The PCD-B was kept active and collecting data over 150 days without serious problems. The low-cost solution parts have, approximately, 9% of the cost of a professional solution.

Downloads

Download data is not yet available.

References

BLAINSKI, E.; GARBOSSA, L.H.P.; ANTUNES, E.N. Estações hidrometeorológicas automáticas: recomendações técnicas para instalação. Florianópolis: Epagri, 2012, 43p. (Epagri, Documentos, 240).

BLUM, J. Explorando o Arduino: Técnicas e ferramentas para mágicas de engenharia. 1 ed. Alta Books, Rio de Janeiro, 2016, 384 p.

BOKINGKITO, P.B.; LLANTOS, O.E. Design and Implementation of Real-Time Mobile-based Water Temperature Monitoring System. Procedia Computer Science, v. 124, p. 698–705, 2017.

DAOKUN, M.; QISHENG, D.; ZHENBO, L.; DAOLIANG, L.; YAOGUANG, W. Prototype of an Aquacultural Information System Based on Internet of Things E-Nose. Intelligent Automation & Soft Computing, v. 18, p. 569-579, 2013.

HABIB, E.; KRAJEWSKI, W.F.; KRUGER, A. Sampling errors of tipping-bucket rain gauge measurements. Journal of Hydrologic Engineering, v. 6, n.2, p159-166, 2001.

EPAGRI. Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina. Banco de dados de variáveis ambientais de Santa Catarina. Florianópolis: Epagri, 2020. 20p. (Epagri, Documentos, 310).

Garbossa, L.H.P.; Pinheiro, A. Vazões de referência para gestão de bacias hidrográficas rurais e urbanas sem monitoramento. Revista de Gestão de Água da América Latina. v 12, p. 43-52, 2015. DOI: : http://dx.doi.org/10.21168/rega.v12n1.p43-52

KREIBICH, J.A. Using SQLite – Small. Fast. Reliable. Choose Any Three. 1 ed O’Reilly Media, Inc., Sebastopol, CA, 2010, 503 p.

LUIZ, W.; SAKAGAMI, Y.; SCOLARO, D.; REGIS, A.; DIAS, R.A.; STEINBACH, R. Intercomparação de pluviômetros de báscula por meio de um sistema de verificação em laboratório. In: Seminário de extensão e inovação do IFSC, 2013, Florianópolis. Anais[...] Florianópolis, 2013. p. 1-3.

LUZANOV, P.; ROGOV, E.; LEVSHIN, I. (traduzido por MANTOVA, L) PostgreSQL for beginners. eBook 2018. Disponível em: https://edu.postgrespro.ru/ /introbook_v4_en.pdf. Acesso em: 1 Abril, 2020.

MELO, D.C.D.; ANACHE, J.A.A.; ALMEIDA, C.N.; COUTINHO, J.V.; RAMOS FILHO, G.M.; ROSALEM, L.M.P.; PELINSON, N.S.; FERREIRA, G.L.R.A.; SCHWAMBACK, D.; CALIXTO, K.G.; SIQUEIRA, J.P.G.; DUARTE-CARVAJALINO, J.C.; JHUNIOR, H.C.S.; NÓBREGA, J.D.; MORITA, A.K.M.; LEITE, C.M.C.; GUEDES, A.C.E., COELHO, V.H.R.; WENDLAND, E. The big picture of field hydrology studies in Brazil, Hydrological Sciences Journal, v. 65, n. 8, p. 1262-1280, 2020.

SANTOS, P.V.C.; CUNHA, A.C. Outorga de recursos hídricos e vazão ambiental no Brasil: Perspectivas metodológicas frente ao desenvolvimento do setor hidrelétrico na Amazônia. Revista Brasileira de Recursos Hídricos. v. 18, p. 81-95, 2013.

WMO. The 5 Essential Elements of a Hydrological Monitoring Programme. World Meteorological Organization Bulletin. 2012, 61, Disponível em: https://public. wmo.int/en/bulletin/5-essential-elements-hydrological-monitoring-programme. Acesso em: 10 Set. 2019.

Published

2020-12-30

Issue

Section

Scientific article

How to Cite

Low cost automation as an alternative for hydrological monitoring. (2020). Agropecuária Catarinense Journal, 33(3), 72-76. https://doi.org/10.52945/rac.v33i3.795