Estimation of Chlorophyll-a Concentration from Optimizing a Semi-Analytical Algorithm in Productive Inland Waters

Autor(es)

Watanabe, Fernanda ^[1] ; Alcantara, Enner ^[2] ; Imai, Nilton ^[1] ; Rodrigues, Thanan ^[3] ; Bernardo, Nariane ^[1]

Afiliação do(s) autor(es)

^[1] Sao Paulo State Univ UNESP, Fac Sci & Technol, Dept Cartog, Rua Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP - Brazil

^[2] Sao Paulo State Univ UNESP, Inst Sci & Technol, Dept Environm Engn, Rodovia Presidente Dutra Km 137-8, BR-12247004 Sao Jose Dos Campos, SP - Brazil

^[3] Fed Inst Educ Sci & Technol Para, Rodovia BR 316, Km 61, BR-68740970 Castanhal, PA - Brazil

• Tipo de documento: Artigo Científico
• Fonte: REMOTE SENSING; v. 10, n. 2 FEB 2018.
• Citações Web of Science: 9

Resumo

The high nutrient concentrations coming from non-point and point pollution have been linked to algae blooms, especially in hydroelectric plant reservoirs, due to higher residence time compared to rivers. The monitoring of algae is important to prevent risk of contamination by toxins in reservoirs used for drinking water supply. In this context, a physical model-based approach was adopted to retrieve chlorophyll-a (chl a) concentration, a photosynthetic pigment found in all phytoplankton species. We assumed that a semi-analytical algorithm parameterized to a eutrophic reservoir could also be applied to other eutrophic reservoirs, at least the specific inherent optical properties (SIOPs) are not similar. The parameterization was carried out based on Ocean and Land Color Instrument (OLCI) bands aboard Sentinel-3 spacecraft. In our study, the semi-analytical approach showed good performance in retrieving chl a content, with a normalized root mean square error (NRMSE) of 18.7%. The findings encourage the use of a unique semi-analytical algorithm in a reservoir cascade, where the impoundments present similar bio-optical status. The good performance of the algorithm indicates that this approach is rather useful in predicting trophic status in reservoirs. (AU)

• Processo FAPESP: 15/21586-9 - Re-parametrização do algoritmo quase-analítico (QAA) para estimativa das propriedades ópticas inerentes nos reservatórios do Rio Tietê
• Beneficiário: Enner Herenio de Alcântara
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 13/09045-7 - Mapeamento de macrófitas submersas em reservatório baseado na teoria de transferência radiativa na coluna de água
• Beneficiário: Nilton Nobuhiro Imai
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 15/18525-8 - Inversão de modelo baseado na equação de transferência radiativa para estimar a concentração de clorofila-a em águas produtivas - reservatório de Barra Bonita, Rio Tietê, SP
• Beneficiário: Fernanda Sayuri Yoshino Watanabe
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 12/19821-1 - Parametrização de modelo bio-óptico para o estudo da concentração de clorofila-A ao longo de reservatórios em cascata
• Beneficiário: Enner Herenio de Alcântara
• Modalidade de apoio: Auxílio à Pesquisa - Regular