A5033166583- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Sediment Transport Processes
- Hydrological Forecasting Using AI
- Soil erosion and sediment transport
- Precipitation Measurement and Analysis
- Water resources management and optimization
- Soil Moisture and Remote Sensing
- Urban Stormwater Management Solutions
- Plant Water Relations and Carbon Dynamics
- Groundwater and Watershed Analysis
- Environmental Sustainability and Education
- Meteorological Phenomena and Simulations
- Geography and Environmental Studies
- Remote Sensing in Agriculture
- Cryospheric studies and observations
- Hydrology and Drought Analysis
- Climate variability and models
- Irrigation Practices and Water Management
- Solar Radiation and Photovoltaics
- Municipal Solid Waste Management
- Leaf Properties and Growth Measurement
- Water-Energy-Food Nexus Studies
- Energy Load and Power Forecasting
- Remote Sensing and LiDAR Applications
Universidade Federal da Paraíba
2016-2025
Beijing Drainage Group (China)
2023
Universidade Federal do Rio Grande do Sul
2006-2010
Brazilian Agricultural Research Corporation
2009-2010
Lund University
2009
Universidade Federal de Santa Maria
2009
Schlumberger (British Virgin Islands)
2007
National Institute for Space Research
2007
Remote sensing is considered the most effective tool for estimating evapotranspiration (ET) over large spatial scales. Global terrestrial ET estimates vegetated land surfaces are now operationally produced at 1-km resolution using data from Moderate Resolution Imaging Spectroradiometer (MODIS) and MOD16 algorithm. To evaluate accuracy of this product, ground-based measurements energy fluxes obtained eddy covariance sites installed in tropical biomes a hydrological model (MGB-IPH) were used...
Abstract. We quantify uncertainty in the impacts of climate change on discharge Rio Grande, a major tributary Paraná River South America and one most important basins Brazil for water supply hydro-electric power generation. consider projections associated with greenhouse-gas emission scenarios (A1b, A2, B1, B2) increases global mean air temperature 1 to 6° C HadCM3 GCM (Global Circulation Model) as well uncertainties related structure. For latter, multimodel runs using 6 GCMs (CCCMA CGCM31,...
Evapotranspiration (ET) plays an important role in global climate dynamics and primary production of terrestrial ecosystems; it represents the mass energy transfer from land to atmosphere. Limitations measuring ET at large scales using ground-based methods have motivated development satellite remote sensing techniques. The purpose this work is evaluate accuracy SEBAL algorithm for estimating surface turbulent heat fluxes regional scale, 28 images MODIS. estimates are compared with...
The promise of quantum computers hinges on the ability to scale large system sizes, e.g., run computations consisting more than 100 million operations fault-tolerantly. This in turn requires suppressing errors levels inversely proportional size computation. As a step towards this ambitious goal, we present experiments trapped-ion QCCD processor where, through use fault-tolerant encoding and error correction, are able suppress logical rates below physical rates. In particular, entangled...
Abstract For large‐scale sites, difficulties for applying coupled one‐dimensional (1D)/2D models simulating floodplain inundation may be encountered related to data scarcity, complexity establishing channel–floodplain connections, computational cost, long duration of floods and the need represent precipitation evapotranspiration processes. This paper presents a hydrologic simulation system, named SIRIPLAN, developed accomplish this aim. system is composed by 1D hydrodynamic model 2D...
This paper presents a detailed modeling of rainfall-runoff processes and flow routing along complex large-scale region, the Upper Paraguay River Basin (UPRB), encompassing drainage area approximately 600,000 km2, which extends over Brazil, Paraguay, Bolivia. Within UPRB lies Pantanal, world's largest wetland, with extraordinary biodiversity great ecologic value, but currently is threatened by anthropogenic activities. A conceptual model was applied two main components: (1) simulation basin...
The objective of this work is to assess the impacts IPCC AR5 climate change scenarios on water resources and hydrological processes across entire Brazilian territory. Hydrological simulations are carried out in total drainage area about 11,535,645 km2 average stream flow 272,460 m3/s. study consists different climates land covers such as Amazon Forest, Northeast Semiarid, Savannah, Pantanal wetlands temperate South. atmospheric forcing drive large-scale model MGB-IPH derived from downscaling...
Natural river flow provides the conditions required to sustain freshwater ecosystems, and greater departure from natural regime, loss of those ecosystems. In South America, new hydropower dams are continuously being constructed planned in regions within around Amazon basin Upper Paraguay basin, a region notable for Pantanal, huge wetland ecosystem that is largely dependent on regime its tributaries. this context, it meaningful examine hydrological changes caused by major Manso dam, operating...
This paper presents an improved algorithm for deriving drainage networks coarse‐gridded distributed hydrological models based on relatively fine resolution digital elevation models. The proposed aims to reproduce actual more closely when applied in regions with meandering rivers running parallel and cell sizes of the order 10 kilometers. To achieve this goal, COTAT Reed (2003) was improved, introducing another parameter related minimum upstream flow path into besides area threshold. tested...
This paper presents a one-dimensional hydrodynamic modeling of large-scale river network and floodplains. The study site comprises the Upper Paraguay River its main tributaries (a total 4,800 km reaches) in South American central area, including complex flowing along Pantanal wetland. issues are related to preparing input data for hydraulic model consistent georeferenced database representing different flow regimes. Geographic information systems-based automatic procedures were developed...
Abstract The current benchmark approach for mathematical modelling of floodplain hydrologic regime consists dynamically coupling one‐dimensional (1D) and two‐dimensional (2D) models flow routing along the main channel floodplain, respectively. For large‐scale sites, inundation may spread over hundreds square kilometres last many months even influence seasonal floods in following years. This paper aims at evaluating effect vertical water balance representation on a floodplain. Pantanal...
A variabilidade espaço-temporal da precipitação, a baixa densidade de postos pluviométricos e os problemas operacionais são fatores complexidade para estudos hidrológicos em países desenvolvimento como o Brasil, que pode ser amenizado pelo uso estimativas precipitação obtidas por sensoriamento remoto orbital.Esta pesquisa avalia as chuva derivadas do produto 3B42 versão 7 satélite Tropical Rainfall Measuring Mission (TRMM) sobre Estado Paraíba, no Nordeste Brasil.Este estudo analisou séries...
The objective of this work was to evaluate a simple, semi‑automated methodology for mapping cropland areas in the state Mato Grosso, Brazil. A Fourier transform applied over time series vegetation index products from moderate resolution imaging spectroradiometer (Modis) sensor. This procedure allows evaluation amplitude periodic changes response through and identification with strong seasonal variation related crop production. Annual masks 2006 2009 were generated municipal estimated remote...
ABSTRACT Hydrological models (HMs) can be applied for different purposes, and a key step is model calibration using objective functions (OF) to quantify the agreement between observed calculated discharges. Fully understanding OF important properly take advantage of interpret results. This study evaluates 36 proposed in literature, considering two watersheds hydrological regimes. Daily simulated streamflow time-series, distributed (MGB-IPH), ten daily synthetic generated from streamflows,...
This study reports on the performance of two medium-range streamflow forecast models: (1) a multilayer feed-forward artificial neural network; and (2) distributed hydrologic model. Quantitative precipitation forecasts were used as input to both models. The Furnas Reservoir Rio Grande River was selected case study, primarily because availability quantitative from Brazilian Center for Weather Prediction Climate Studies due its importance in hydropower generating system. Streamflow calculated...
O objetivo deste trabalho foi avaliar parâmetros biofísicos de superfície do Bioma Pantanal com a aplicação geotecnologias. Foram utilizados o algoritmo Sebal ("surface energy balance algorithm for land"), imagens sensor Modis ("moderate‑resolution imaging spectroradiometer") e mapa classes uso cobertura da terra. Os resultados obtidos para NDVI, temperatura superfície, albedo, fluxo calor sensível diário, saldo radiação diário evapotranspiração real diária foram consistentes dados...
Abstract As part of a research project to improve flow forecasts for the operation and planning Brazilian hydroelectric reservoirs, large‐scale distributed hydrological model has been used with quantitative precipitation an empirical data assimilation procedure. This article summarizes some results obtained Rio Grande watershed (145 000 km 2 ), one Hydrologic Ensemble Prediction Experiment (HEPEX) test beds. For short‐term horizon (up 12 days), show that this methodology can clearly...
Abstract The quality of digital elevation model (DEM)‐derived river drainage networks (RDNs) is influenced by DEM quality, basin physical characteristics, scale, and algorithms used; these factors should not be neglected. However, few research studies analyse the different evaluation approaches used in literature with respect to adequacy, meaning results, advantages, limitations. Focusing on coarse‐resolution networks, this paper reviews use techniques offers new insights issues....