Rodrigues, T. W. P.; Alcântara, E. H. de; Watanabe, F. S. Y.; Bernardo, N. M. R.; Rotta, L. H. da S.; Imai, N. N.: Spatial and temporal variations of the inherent optical properties in a tropical cascading reservoir system. Modeling Earth Systems and Environment, 2 (2), pp. 86, 2016, ISSN: 2363-6211.(Tipo: Journal Article | Resumo | Links | BibTeX | Tags: cascading, inherent optical properties, reservoir, spatial, temporal, tropical)
@article{RodriguesT2016,
title = {Spatial and temporal variations of the inherent optical properties in a tropical cascading reservoir system},
author = {Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Nariane Marselhe Ribeiro Bernardo and Luiz Henrique da Silva Rotta and Nilton Nobuhiro Imai},
doi = {10.1007/s40808-016-0144-4},
issn = {2363-6211},
year = {2016},
date = {2016-06-07},
journal = {Modeling Earth Systems and Environment},
volume = {2},
number = {2},
pages = {86},
abstract = {In order to verify the effect of a cascade system in the water quality of two tropical reservoirs in Brazil, this work proposed to make use of the inherent optical properties (IOPs) as well as the specific inherent optical properties (SIOPs). From upstream to downstream, Barra Bonita (BB) is the first in a set of six reservoirs along Tietê River and Nova Avanhandava (Nav) is the fifth reservoir. BB is eutrophic whilst Nav is an oligotrophic environment. According to the IOP and SIOP analysis, it was possible to attest that BB was organic matter dominated and Nav was inorganic matter. These differences are noticeable in bio-optical modeling, must be considered different approaches to retrieve water quality parameters in both sites, once, the models take into account the specific information about the IOP and their relation with the optically active components (OACs) concentration. In addition, the results of this paper can provide comparable data to other water systems and improve the comprehension about the optical properties of complex water bodies.},
keywords = {cascading, inherent optical properties, reservoir, spatial, temporal, tropical},
pubstate = {published},
tppubtype = {article}
}
In order to verify the effect of a cascade system in the water quality of two tropical reservoirs in Brazil, this work proposed to make use of the inherent optical properties (IOPs) as well as the specific inherent optical properties (SIOPs). From upstream to downstream, Barra Bonita (BB) is the first in a set of six reservoirs along Tietê River and Nova Avanhandava (Nav) is the fifth reservoir. BB is eutrophic whilst Nav is an oligotrophic environment. According to the IOP and SIOP analysis, it was possible to attest that BB was organic matter dominated and Nav was inorganic matter. These differences are noticeable in bio-optical modeling, must be considered different approaches to retrieve water quality parameters in both sites, once, the models take into account the specific information about the IOP and their relation with the optically active components (OACs) concentration. In addition, the results of this paper can provide comparable data to other water systems and improve the comprehension about the optical properties of complex water bodies.
FERREIRA, M.; Galo, M. de L. B. T.: Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements. Anais da Academia Brasileira de CiÃ, 85 , pp. 519–532, 2013, ISSN: 0001-3765.(Tipo: Journal Article | BibTeX | Tags: artificial neural network, clorophyl, imagens, measurements, multspectral, spatial)
@article{FERREIRA2013,
title = {Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements},
author = {MONIQUE S FERREIRA and Maria de Lourdes Bueno Trindade Galo},
issn = {0001-3765},
year = {2013},
date = {2013-06-01},
journal = {Anais da Academia Brasileira de CiÃ},
volume = {85},
pages = {519--532},
publisher = {scielo},
keywords = {artificial neural network, clorophyl, imagens, measurements, multspectral, spatial},
pubstate = {published},
tppubtype = {article}
}