9 research outputs found
Hydro-physical processes at the plunge point: an analysis using satellite and in situ data
The plunge point is the main mixing point between river and epilimnetic reservoir water. Plunge point monitoring is essential for understanding the behavior of density currents and their implications for reservoir. The use of satellite imagery products from different sensors (Landsat TM band 6 thermal signatures and visible channels) for the characterization of the river-reservoir transition zone is presented in this study. It is demonstrated the feasibility of using Landsat TM band imagery to discern the subsurface river plumes and the plunge point. The spatial variability of the plunge point evident in the hydrologic data illustrates the advantages of synoptic satellite measurements over in situ point measurements alone to detect the river-reservoir transition zone. During the dry season, when the river-reservoir water temperature differences vanish and the river circulation is characterized by interflow-overflow, the river water inserts into the upper layers of the reservoir, affecting water quality. The results indicate a good agreement between hydrologic and satellite data and that the joint use of thermal and visible channel data for the operational monitoring of a plunge point is feasible. The deduced information about the density current from this study could potentially be assimilated into numerical models and hence be of significant interest for environmental and climatological research
The effects of river inflow and retention time on the spatial heterogeneity of chlorophyll and water–air CO<sub>2</sub> fluxes in a tropical hydropower reservoir
Abundant research has been devoted to understanding the complexity of the
biogeochemical and physical processes that are responsible for greenhouse
gas (GHG) emissions from hydropower reservoirs. These systems may have
spatially complex and heterogeneous GHG emissions due to flooded biomass,
river inflows, primary production and dam operation. In this study, we
investigated the relationships between the water–air CO2 fluxes and the
phytoplanktonic biomass in the Funil Reservoir, which is an old, stratified
tropical reservoir that exhibits intense phytoplankton blooms and a low
partial pressure of CO2 (pCO2). Our results indicated that the
seasonal and spatial variability of chlorophyll concentrations (Chl) and
pCO2 in the Funil Reservoir are related more to changes in the river
inflow over the year than to environmental factors such as air
temperature and solar radiation. Field data and hydro\-dynamic simulations
revealed that river inflow contributes to increased heterogeneity during the
dry season due to variations in the reservoir retention time and river
temperature. Contradictory conclusions could be drawn if only temporal data
collected near the dam were considered without spatial data to represent
CO2 fluxes throughout the reservoir. During periods of high retention,
the average CO2 fluxes were 10.3 mmol m−2 d−1 based on
temporal data near the dam versus −7.2 mmol m−2 d−1 with spatial
data from along the reservoir surface. In this case, the use of solely
temporal data to calculate CO2 fluxes results in the reservoir acting
as a CO2 source rather than a sink. This finding suggests that the
lack of spatial data in reservoir C budget calculations can affect regional
and global estimates. Our results support the idea that the Funil Reservoir
is a dynamic system where the hydrodynamics represented by changes in the
river inflow and retention time are potentially a more important force
driving both the Chl and pCO2 spatial variability than the in-system
ecological factors
The effects of river inflow and retention time on the spatial heterogeneity of chlorophyll and water–air CO<sub>2</sub> fluxes in a tropical hydropower reservoir
Abundant research has been devoted to understanding the complexity of the
biogeochemical and physical processes that are responsible for greenhouse
gas (GHG) emissions from hydropower reservoirs. These systems may have
spatially complex and heterogeneous GHG emissions due to flooded biomass,
river inflows, primary production and dam operation. In this study, we
investigated the relationships between the water–air CO<sub>2</sub> fluxes and the
phytoplanktonic biomass in the Funil Reservoir, which is an old, stratified
tropical reservoir that exhibits intense phytoplankton blooms and a low
partial pressure of CO<sub>2</sub> (<i>p</i>CO<sub>2</sub>). Our results indicated that the
seasonal and spatial variability of chlorophyll concentrations (Chl) and
<i>p</i>CO<sub>2</sub> in the Funil Reservoir are related more to changes in the river
inflow over the year than to environmental factors such as air
temperature and solar radiation. Field data and hydro\-dynamic simulations
revealed that river inflow contributes to increased heterogeneity during the
dry season due to variations in the reservoir retention time and river
temperature. Contradictory conclusions could be drawn if only temporal data
collected near the dam were considered without spatial data to represent
CO<sub>2</sub> fluxes throughout the reservoir. During periods of high retention,
the average CO<sub>2</sub> fluxes were 10.3 mmol m<sup>−2</sup> d<sup>−1</sup> based on
temporal data near the dam versus −7.2 mmol m<sup>−2</sup> d<sup>−1</sup> with spatial
data from along the reservoir surface. In this case, the use of solely
temporal data to calculate CO<sub>2</sub> fluxes results in the reservoir acting
as a CO<sub>2</sub> source rather than a sink. This finding suggests that the
lack of spatial data in reservoir C budget calculations can affect regional
and global estimates. Our results support the idea that the Funil Reservoir
is a dynamic system where the hydrodynamics represented by changes in the
river inflow and retention time are potentially a more important force
driving both the Chl and <i>p</i>CO<sub>2</sub> spatial variability than the in-system
ecological factors
Performance Evaluation of LIDAR and SODAR Wind Profilers on the Brazilian Equatorial Margin
This article seeks to compare the performance of a LIDAR Windcube V2, manufactured by Leosphere, with that of a SODAR MFAS, manufactured by Scintec, in evaluating wind speed at different altitudes. The data from these two sensors were collected at three locations on the Brazilian equatorial margin in the state of Maranhão. The comparison of these sensors aims at their simultaneous use at different points. The horizontal velocity components, by altitude, showed Pearson correlation values above 0.9 and values for the vertical velocity component between 0.7 and 0.85. As for the sampling efficiency, the LIDAR had a performance slightly higher than that of SODAR, especially at the point closest to the coast. In general, both sensors showed similar values, despite the differences in sampling methods. The results showed that the joint performance of these sensors had good correlation, being reliable for application in estimating wind potential for power generation in coastal areas of the equatorial region
EOSOLAR Project: Assessment of Wind Resources of a Coastal Equatorial Region of Brazil—Overview and Preliminary Results
The EOSOLAR project was designed to investigate the structure of the atmospheric boundary layer in an equatorial coastal zone, where the discontinuity of surface conditions induces non-stationarity gradients of wind speeds and the development of internal boundary layers. The proposed methodology considers several aspects of the sea–land transition meteorology that are essential for precisely estimating wind–solar energy potential and assessment of structural loads on wind turbines. Infrared (LIDAR) and acoustic (SODAR) ground-based remote sensing instruments and micrometeorological towers were installed in a near-shore equatorial area of northeast Brazil, in order to provide a comprehensive view of meteorological processes. This paper reports a description of the project study area, methodology, and instrumentation used. Details of instruments configurations, a validation of micrometeorology towers, and a comparison between the LIDAR and SODAR are presented. Results of the first field campaign measuring the coastal flow, integrating the micrometeorological tower and LIDAR observations are described