53 research outputs found
Estimativa do escoamento superficial em uma bacia hidrogrĂĄfica com base em modelagem dinĂąmica e distribuĂda
Distribuição espacial da precipitação e da erosividade da chuva mensal e anual no Estado do EspĂrito Santo
Characteristcs chemical and soil salinization in the Irrigated District of California, SE, Brazil
O manejo inadequado da irrigação pode resultar no acĂșmulo de sais no solo, cuja intensidade depende da qualidade da ĂĄgua utilizada na irrigação, da fração de lixiviação adotada e da demanda evapotranspirativa da regiĂŁo. O presente trabalho teve como objetivo avaliar os atributos fĂsicos e quĂmicos dos solos do perĂmetro irrigado CalifĂłrnia, localizado no extremo noroeste do Estado de Sergipe. Para tal, foram realizadas amostragens em 42 lotes, correspondendo a 16,4% dos lotes deste perĂmetro. As maiores concentraçÔes de sais e de sĂłdio ocorreram na camada superficial (0â0,2m) do solo, o que evidenciou a falta de um manejo da irrigação adequado visando ao controle da salinidade. O aumento do pH do solo foi correlacionado significativamente com a porcentagem de sĂłdio trocĂĄvel, atingindo valores acima de 9,5. CorrelaçÔes positivas significativas foram observadas entre a condutividade elĂ©trica e os teores de Ca e Mg, indicando que sais desses Ăons podem estar se acumulando no solo pela ascensĂŁo do lençol freĂĄtico, associado Ă ausĂȘncia de lixiviação e drenagem. _________________________________________________________________________________________ ABSTRACT: The improper irrigation management may result in the accumulation of salts in the soil profile, which intensity depends on the irrigation water quality, the leaching fraction adopted and on the evapotranspiration demand of the region. The objective of the present study was to study the physical and chemical characteristics of the soils in the irrigated district of California, located in the northwest of the State of Sergipe. Thus, soil sampling were made in 54 lots, corresponding to 16.4% of the lots of this district. The highest salt and sodium concentrations occurred in the shallowest soil layer (0â0.2m), evidencing the lack of an appropriate irrigation management in order to control the salinity build up. The increasing of the soil pH was significantly correlated to the exchangeable sodium percentage, reaching values over 9.5. Significant positive correlations were observed between the electrical conductivity and the Ca and Mg content, indicating that salts of both ions could be accumulating in soil by the capillary rise of the water table, associated to the lack of leaching and drainage
Percolação de nitrato em Latossolo Amarelo distrófico afetada pela aplicação de composto de lixo urbano e adubação mineral
Monitoramento em longo prazo da contenção vegetativa em talude rodoviårio de saprolito de gnaisse em Minas Gerais
Aplicabilidade do lisem (limburg soil erosion) para simulação hidrológica em uma bacia hidrogråfica tropical
Soil compaction and eucalyptus growth in response to forwarder traffic intensity and load
Highly-parallelized simulation of a pixelated LArTPC on a GPU
The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype
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