title: Water residence time affecting phytoplankton blooms: study case in Ibitinga Reservoir (São Paulo, Brazil) using Landsat/TM images.
abstract: Satellite images are an effective tool for the detection of phytoplankton blooms, since they cause striking changes in water color. Bloom intensity can be expressed in terms of chlorophyll-a concentration. Previous studies suggest the use of Landsat TM4/TM3 reflectance ratio to retrieve surface chlorophyll-a concentration from aquatic systems. In this study we assumed that a remote sensing trophic state index can be applied to investigate how changes in HRT along the hydrologic year affect the spatial distribution of the phytoplankton blooms at Ibitinga's reservoir surface. For that, we formulated two objectives: (1) apply a semi-empirical model which uses this reflectance ratio to map chlorophyll-a concentration at Ibitinga reservoir along the 2005 hydrologic year and (2) assess how changes in hydraulic residence time (HRT) affect the spatial distribution of phytoplankton blooms at Ibitinga Reservoir. The study site was chosen because previous studies reported seasonal changes in the reservoir limnology which might be related to the reservoir seasonality and hydrodynamics. Six Landsat/TM images were acquired over Ibitinga reservoir during 2005 and water flow measurements provided by the Brazilian Electric System National Operator - ONS were used to compute the reservoir´s residence time, which varied from 5.37 to 52.39 days during 2005. The HRT in the date of image acquisition was then compared to the distribution of chlorophyll-a in the reservoir. The results showed that the HRT increasing implies the increasing of the reservoir surface occupied by phytoplankton blooms.
authors.affiliation: Centro Nacional de Monitoramento e Alertas de Desastres Naturais, São José dos Campos SP , Brazil, Centro Nacional de Monitoramento e Alertas de Desastres Naturais - CEMADEN, Avenida Dr. Altino Bondensan, 500, CEP 12247-016, São José dos Campos, SP, Brazil.
authors.forename: L R
authors.initials: LR
authors.lastname: Londe
authors.affiliation: Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos SP , Brazil, Divisão de Sensoriamento Remoto - DSR, Instituto Nacional de Pesquisas Espaciais - INPE, CP 515, CEP 12201-970, São José dos Campos, SP, Brazil.
authors.forename: E M L M
authors.initials: EM
authors.lastname: Novo
authors.affiliation: Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos SP , Brazil, Divisão de Sensoriamento Remoto - DSR, Instituto Nacional de Pesquisas Espaciais - INPE, CP 515, CEP 12201-970, São José dos Campos, SP, Brazil.
authors.forename: C
authors.initials: C
authors.lastname: Barbosa
authors.affiliation: Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos SP , Brazil, Divisão de Sensoriamento Remoto - DSR, Instituto Nacional de Pesquisas Espaciais - INPE, CP 515, CEP 12201-970, São José dos Campos, SP, Brazil.
authors.forename: C A S
authors.initials: CA
authors.lastname: Araujo
mesh_terms: D001938:Brazil; D002734:Chlorophyll / Q000032:analysis*; D000077194:Chlorophyll A; D010839:Phytoplankton / Q000254:growth & development*; D014867:Water / Q000737:chemistry*; D062066:Water Resources
chemical_list: D014867:Water; D002734:Chlorophyll; D000077194:Chlorophyll A