@Article{AlcântaraCurOgaSteSou:2013:SyEnMo,
author = "Alc{\^a}ntara, Enner and Curtarelli, Marcelo Pedroso and
Ogashawara, Igor and Stech, Jos{\'e} Luiz and Souza, Arley",
affiliation = "UNESP - Universidade Estadual Paulista, Presidente Prudente, SP,
Brasil and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "A system for environmental monitoring of hydroelectric reservoirs
in Brazil",
journal = "Revista Ambiente \& {\'A}gua",
year = "2013",
volume = "8",
number = "1",
pages = "6--17",
keywords = "environmental monitoring, database, time series, reservoirs.",
abstract = "Environmental monitoring of aquatic systems is an important tool
to support policy makers and environmental managers decisions.
Long-term, continuous collection of environmental data is
fundamental to the understanding of an aquatic system. This paper
aims to present the integrated system for environmental monitoring
(SIMA), a long-term temporal series system with a web-based
archive for limnological and meteorological data. The following
environmental parameters are measured by SIMA: chlorophyll-a
(ugL-1), water surface temperature (șC), water column temperature
by a thermistor string (șC), turbidity (NTU), pH, dissolved oxygen
concentration (mg L-1), electric conductivity (”S cm-1), wind
speed (ms-1) and direction (ș), relative humidity (%), shortwave
radiation (Wm-2) and barometric pressure (hPa). The data were
collected in a preprogrammed time interval (1 hour) and were
transmitted by satellite in quasi-real time for any user within
2500 km of the acquisition point. So far, 11 hydroelectric
reservoirs are being monitored with the SIMA buoy. Basic
statistics (mean and standard deviation) and an example of the
temporal series of some parameters were displayed at a database
with web access. However, sensor and satellite problems occurred
due to the high data acquisition frequency. Sensors problems
occurred due to the environmental characteristics of each aquatic
system. Water quality sensors rapidly degrade in acidic waters,
rendering the collected data invalid. Data is also rendered
invalid when sensors become infested with periphyton. Problems
occur with the satellites reception of system data when satellites
pass over the buoy antenna. However, the data transfer at some
inland locations was not completed due to the satellite
constellation position. Nevertheless, the integrated system of
water quality and meteorological parameters is an important tool
in understanding the aquatic system dynamic. It can also be used
to create hydrodynamics models of the aquatic system to allow for
the study of meteorological implications to the water body.",
doi = "10.4136/ambi-agua.1088",
url = "http://dx.doi.org/10.4136/ambi-agua.1088",
issn = "1980-993X",
label = "lattes: 2691497637313274 4
Alc{\^a}ntaraCurOgaSteSou:2013:SyEnMo",
language = "pt",
targetfile = "1088-6211-1-PB.pdf",
url = "http://dx.doi.org/10.4136/ambi-agua.1088",
urlaccessdate = "27 abr. 2024"
}