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Inversion model based on radiactive transfer equation for estimating the chlorophyll-a concentration in productive waters - Barra Bonita Reservoir, Tietê River, SP

Grant number: 15/18525-8
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): July 01, 2016
Effective date (End): June 06, 2017
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Enner Herenio de Alcântara
Grantee:Fernanda Sayuri Yoshino Watanabe
Home Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

Reservoirs are artificial aquatic ecosystems that modify the hydrodynamics of rivers. The increased retention time and, consequently, elevation of the nutrients availability time lead to eutrophication of the environment and blooms of algae (phytoplankton). Some species of phytoplankton may produce toxic metabolites for animals and humans. Therefore, the monitoring of water bodies has environmental and health importance for the management of water resources. The reservoirs have large areas that hamper the monitoring of water quality through traditional methods such as collection of punctual water samples. Thus, the use of remote sensing data can be useful to assess the quality of water in terms of active optically constituents, i.e., that interact with electromagnetic radiation. Remote sensing of water color aims retrieve the concentration of active optically constituents that modify the optical properties inherent in water, responsible for the change in color of the water. Several models have been developed to estimate the active optically components from remote sensing data. These models have used empirical, semi-analytical and quasi-analytic approaches. Empirical models involve statistical adjustments and are not based on physical fundamentals. On the other hand, the semi-analytical models are based on solutions for the radiative transfer equation. The quasi-analytical algorithms derive the inherent optical properties from remote sensing reflectance measurements. Thus, the objective of the proposed project is to parameterize and calibrate models based on radiative transfer equation to estimate the concentration of chlorophyll-a in a highly productive tropical reservoir. The work will be conducted in Barra Bonita Reservoir, located in the middle course of the Tiete River, State of Sao Paulo. The Barra Bonita reservoir is classified as eutrophic and presents cyanobacteria blooms. Tiete River is one of the most important rivers of the State of São Paulo and has great environmental and economic importance. However, its potential for human use is limited due to poor quality of the water in certain regions. From the proposed work is expected to obtain suitable models for estimating the concentration of chlorophyll-a. In addition, it is expected that the study will contribute to the use of technology to estimate water quality and assist in managing water resources.

Scientific publications (9)
(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)
BERNARDO, NARIANE; DO CARMO, ALISSON; PARK, EDWARD; ALCANTARA, ENNER. Retrieval of Suspended Particulate Matter in Inland Waters with Widely Differing Optical Properties Using a Semi-Analytical Scheme. REMOTE SENSING, v. 11, n. 19 OCT 2019. Web of Science Citations: 0.
WATANABE, FERNANDA; ALCANTARA, ENNER; BERNARDO, NARIANE; DE ANDRADE, CAROLINE; GOMES, ANA CAROLINA; DO CARMO, ALISSON; RODRIGUES, THANAN; ROTTA, LUIZ HENRIQUE. Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images. Advances in Space Research, v. 64, n. 3, p. 581-590, AUG 1 2019. Web of Science Citations: 0.
WATANABE, FERNANDA; ALCANTARA, ENNER; RODRIGUES, THANAN; ROTTA, LUIZ; BERNARDO, NARIANE; IMAI, NILTON. Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil). Anais da Academia Brasileira de Ciências, v. 90, n. 2, 1, p. 1987-2000, AUG 2018. Web of Science Citations: 4.
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.
WATANABE, FERNANDA; RODRIGUES, THANAN; DO CARMO, ALISSON; ALCANTARA, ENNER; SHIMABUKURO, MILTON; IMAI, NILTON; BERNARDO, NARIANE; ROTTA, LUIZ HENRIQUE. Assessment of Scattering Error Correction Techniques for AC-S Meter in a Tropical Eutrophic Reservoir. REMOTE SENSING, v. 10, n. 5 MAY 2018. Web of Science Citations: 0.
WATANABE, FERNANDA; ALCANTARA, ENNER; IMAI, NILTON; RODRIGUES, THANAN; BERNARDO, NARIANE. Estimation of Chlorophyll-a Concentration from Optimizing a Semi-Analytical Algorithm in Productive Inland Waters. REMOTE SENSING, v. 10, n. 2 FEB 2018. Web of Science Citations: 9.
RODRIGUES, THANAN; MISHRA, DEEPAK R.; ALCANTARA, ENNER; WATANABE, FERNANDA; ROTTA, LUIZ; IMAI, NILTON NOBUHIRO. Retrieving Total Suspended Matter in Tropical Reservoirs Within a Cascade System With Widely Differing Optical Properties. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 10, n. 12, 2, p. 5495-5512, DEC 2017. Web of Science Citations: 0.
FERNANDA SAYURI YOSHINO WATANABE; ENNER HERENIO DE ALCÂNTARA; THANAN WALESZA PEQUENO RODRIGUES; NARIANE MARSELHE RIBEIRO BERNARDO; LUIZ HENRIQUE DA SILVA ROTTA; NILTON NOBUHIRO IMAI. Phytoplankton community dynamic detection from the chlorophyll-specific absorption coefficient in productive inland waters. Acta Limnol. Bras., v. 29, p. -, 2017.
WATANABE, FERNANDA; MISHRA, DEEPAK R.; ASTUTI, IKE; RODRIGUES, THANAN; ALCANTARA, ENNER; IMAI, NILTON N.; BARBOSA, CLAUDIO. Parametrization and calibration of a quasi-analytical algorithm for tropical eutrophic waters. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 121, p. 28-47, NOV 2016. Web of Science Citations: 21.

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