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Developing a semi-analytical model to study the chlorophyll-a concentration and the trophic state of tropical hydroelectric reservoirs

Grant number: 11/19523-8
Support type:Regular Research Grants
Duration: March 01, 2012 - February 28, 2014
Field of knowledge:Engineering - Sanitary Engineering - Water Resources
Principal Investigator:José Luiz Stech
Grantee:José Luiz Stech
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). São José dos Campos , SP, Brazil
Assoc. researchers:Arcilan Trevenzoli Assireu ; Arley Ferreira de Souza ; Carlos Roberto de Souza Filho ; Cláudio Clemente Faria Barbosa ; Enner Herenio de Alcântara

Abstract

The sustainable water management fundamentally depends of the water quality information and how this quality surfer alteration along the time as a response to different factors. In specific case of reservoirs the lentic regime is an additional aggravating, because can conduct the aquatic system to a eutrophication and salinization processes. Generally in water quality studies are based in a limited samples that underestimating the spatial variability of water properties. This underestimation becomes more critical in case of large reservoirs. The remote sensing can be a powerful tool in aquatic system studies by capturing the spectral response of the actively optical components present in the water synoptically. In Brazil is a challenge to use physically based models, that is independents of the site that was developed, to study the water optical properties. This, the objective of this research is to develop a semi-analytical model to be applied to the hydroelectric reservoirs decreasing the costs and also subsidizing the water quality management efficiently. (AU)

Scientific publications (6)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
YOSHINO WATANABE, FERNANDA SAYURI; ALCANTARA, ENNER; STECH, JOSE LUIZ. High performance of chlorophyll-a prediction algorithms based on simulated OLCI Sentinel-3A bands in cyanobacteria-dominated inland waters. Advances in Space Research, v. 62, n. 2, p. 265-273, JUL 15 2018. Web of Science Citations: 0.
MARTINS, SARAH; CHOKMANI, KAREM; ALCANTARA, ENNER; OGASHAWARA, IGOR; EL-ALEM, ANAS. Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images. INLAND WATERS, v. 8, n. 4, p. 488-504, 2018. Web of Science Citations: 1.
OGASHAWARA, IGOR; MISHRA, DEEPAK R.; NASCIMENTO, RENATA F. F.; ALCANTARA, ENNER H.; KAMPEL, MILTON; STECH, JOSE L. Re-parameterization of a quasi-analytical algorithm for colored dissolved organic matter dominant inland waters. International Journal of Applied Earth Observation and Geoinformation, v. 53, p. 128-145, DEC 2016. Web of Science Citations: 6.
AUGUSTO-SILVA, PETALA B.; OGASHAWARA, IGOR; BARBOSA, CLAUDIO C. F.; DE CARVALHO, LINO A. S.; JORGE, DANIEL S. F.; FORNARI, CELSO ISRAEL; STECH, JOSE L. Analysis of MERIS Reflectance Algorithms for Estimating Chlorophyll-a Concentration in a Brazilian Reservoir. REMOTE SENSING, v. 6, n. 12, p. 11689-11707, DEC 2014. Web of Science Citations: 15.
OGASHAWARA, IGOR; CURTARELLI, MARCELO P.; SOUZA, ARLEY F.; AUGUSTO-SILVA, PETALA B.; ALCANTARA, ENNER H.; STECH, JOSE L. Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis. REMOTE SENSING, v. 6, n. 4, p. 3059-3074, APR 2014. Web of Science Citations: 5.
OGASHAWARA, IGOR; MISHRA, DEEPAK R.; MISHRA, SACHIDANANDA; CURTARELLI, MARCELO P.; STECH, JOSE L. A Performance Review of Reflectance Based Algorithms for Predicting Phycocyanin Concentrations in Inland Waters. REMOTE SENSING, v. 5, n. 10, p. 4774-4798, OCT 2013. Web of Science Citations: 30.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.