Numerical Solution of a 3D System of Transient and Nonlinear PDEs Arising from Larvae-Algae-Mussels Interactions

Azevedo, Ramoni Z. S.; Barbosa, Charles Henrique Xavier Barreto; Santos, Isaac P.; Silva, José Carlos Rubianes; Pastore, Dayse Haime; Costa, Anna Regina Corbo; Dias, Claudia Mazza; Figueira, Raquel Medeiros Andrade; Fortunato, Humberto Freitas de Medeiros

doi:10.1007/978-3-031-10536-4_45

Cited by 2 publications

(3 citation statements)

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“…In contrast, the presence of the Pereira Barreto Channel mixes water from Ilha Solteira and Três Irmãos reservoirs turning their physico-chemical parameters more similar. All of this affects the abundance and distribution of the golden mussel, which reaches highest densities in a more eutrophic region, especially artificial ones 42 , 78 . The more the dams interfere in the natural limnological conditions more difficult will be to manage the bioinvasive species, since abiotic factors are directly related to species presence and abundance.…”

Section: Resultsmentioning

confidence: 99%

“…The borders of all reservoirs, overtakes 26°C and shallow tributaries reach 28°C. Remote sensing data has been used as input into mathematical modeling, 43 , 78 , 79 which serves to understand the golden mussel presence and prevalence in the study area. Therefore, these tools may be useful to increase environmental detailing in order to monitor and control this invasive species.…”

Section: Resultsmentioning

confidence: 99%

“…2,80 In our study area, maximum SD values are historically related to low hydrometric levels, while their temporal variation is artificially influenced by the HPPs operations. 52 For instance, the natural water flow of the second-largest artificial channel in the world (Pereira Barreto) is from Tietê River to São José dos Dourados River, but it shifts by the need of Ilha Solteira HPP, facilitating the golden mussel larval dispersal into both Ilha Solteira and Três Irmãos reservoirs, 78 causing environmental instability, and inhibiting overproduction of energy from Três Irmãos HPP.…”

Section: Reservoirs Regionalization In An Integrative Perspectivementioning

confidence: 99%

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Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery

Carvalho

Figueira²,

Fortunato³

2023

J. Appl. Rem. Sens.

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Reservoirs are aquatic environments with complex interactions between biochemical and physical components. Many of those parameters can be estimated from remote sensing tools, especially since increasing technological progress allows the analysis of those environments in high spatial and temporal resolutions. This work aimed to analyze the water quality of four reservoirs, with high energy productivity, located in the center-southern region of Brazil from bio-optical and thermal water parameters. Therefore, hundreds of Landsat 5 (TM), 7 (ETM+), and 8 (OLI) satellite images were processed by the Google Earth Engine cloud computing platform to estimate water surface temperature, chlorophyll-a density (chl-a), Secchi depth (SD), and trophic state index (TSI). To calibrate the equations, 11 in situ monitoring points were used in 27 scenes from the TM and ETM+ sensors and 30 from the OLI sensor, within 6 days interval between the monitoring date and the image acquisition. Additionally, records from two weather stations near the reservoirs were analyzed to evaluate meteorological influences on water parameters. SD has influenced TSI in three reservoirs, while chl-a has acted as a proxy in only one. Moderate correlations were observed between air temperature, rainfall, and global radiation and the bio-optical and thermal water parameters. Remote sensing has detected a clear spatio-temporal variation, which allowed regionalizing the reservoirs. Reservoir regionalization based on the mapped parameters may be able not only to visualize the spatial dynamics of the waters but also as a tool for the management of water bodies with multiple users and issues.

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Section: Resultsmentioning

confidence: 99%