São apresentados os resultados de pesquisa que quantificaram a precipitação efetiva e a interceptação das chuvas pelo dossel da floresta secundária de Mata Atlântica na "microbacia experimental B", do Laboratório de Hidrologia Florestal Walter Emmerich, em Cunha-SP. No período de um ano foram medidos a precipitação no aberto, a precipitação interna e o escoamento pelo tronco das árvores, totalizando 54 coletas. Um pluviômetro em área aberta e 16 no interior da floresta foram utilizados para quantificação dos dois primeiros processos, respectivamente. Para determinação do escoamento pelo tronco foram instalados dispositivos de espuma de poliuretano em 38 árvores. A água interceptada foi estimada pela diferença entre a precipitação no aberto e a precipitação efetiva. Concluiu-se que, em média, 18,6% da precipitação foi interceptada pela floresta, retornando à atmosfera na forma de vapor. Um montante de 81,2% alcançou o piso como precipitação interna e apenas 0,2% como escoamento pelo tronco. Os fluxos de precipitação interna e escoamento pelo tronco foram maiores no período caracterizado como chuvoso. Os porcentuais de interceptação foram superiores no período pouco chuvoso.
Stream water quality is controlled by the interaction of natural and anthropogenic factors over a range of temporal and spatial scales. Among these anthropogenic factors, land cover changes at catchment scale can affect stream water quality. This work aims to evaluate the influence of land use and seasonality on stream water quality in a representative tropical headwater catchment named as Córrego Água Limpa (Sao Paulo, Brasil), which is highly influenced by intensive agricultural activities and urban areas. Two systematic sampling approach campaigns were implemented with six sampling points along the stream of the headwater catchment to evaluate water quality during the rainy and dry seasons. Three replicates were collected at each sampling point in 2011. Electrical conductivity, nitrates, nitrites, sodium superoxide, Chemical Oxygen Demand (DQO), colour, turbidity, suspended solids, soluble solids and total solids were measured. Water quality parameters differed among sampling points, being lower at the headwater sampling point (0m above sea level), and then progressively higher until the last downstream sampling point (2500m above sea level). For the dry season, the mean discharge was 39.5ls (from April to September) whereas 113.0ls were averaged during the rainy season (from October to March). In addition, significant temporal and spatial differences were observed (P<0.05) for the fourteen parameters during the rainy and dry period. The study enhance significant relationships among land use and water quality and its temporal effect, showing seasonal differences between the land use and water quality connection, highlighting the importance of multiple spatial and temporal scales for understanding the impacts of human activities on catchment ecosystem services.
Stream-water flows and in-stream nitrate and ammonium concentrations in a small (36.7 ha) Atlantic Forest catchment were simulated using the Integrated Nitrogen in CAtchments (INCA) model version 1.9.4. The catchment, at Cunha, is in the Serra do Mar State Park, SE Brazil and is nearly pristine because the nearest major conurbations, São Paulo and Rio, are some 450 km distant. However, intensive farming may increase nitrogen (N) deposition and there are growing pressures for urbanisation. The mean-monthly discharges and NO 3 -N concentration dynamics were simulated adequately for the calibration and validation periods with (simulated) loss rates of 6.55 kg.ha 1 yr 1 for NO 3 -N and 3.85 kg.ha 1 yr 1 for NH 4 -N. To investigate the effects of elevated levels of N deposition in the future, various scenarios for atmospheric deposition were simulated; the highest value corresponded to that in a highly polluted area of Atlantic Forest in Sao Paulo City. It was found that doubling the atmospheric deposition generated a 25% increase in the N leaching rate, while at levels approaching the highly polluted São Paulo deposition rate, five times higher than the current rate, leaching increased by 240%, which would create highly eutrophic conditions, detrimental to downstream water quality. The results indicate that the INCA model can be useful for estimating N concentration and fluxes for different atmospheric deposition rates and hydrological conditions.
Due to the importance of the species Araucaria angustifolia (Bertol.) Kuntze and on account of its presence in the "Núcleo Cunha", it was decided to study its influence on the process of rainfall redistribution. Daily throughfall (Tr) and stemflow of trees (Et) in a plot of 600 m 2 , equipped with 15 rain gauges and devices for collecting stemflow water on 19 trees were measured. A rain gauge installed in the open area located near the plot provided the rainfall data in the open (Pa). The interception (I) was estimated by the equation: I = Pa -(Et + Tr). The experimental period covered from October 2008 to March 2009. Sixty-eight rain events were recorded, resulting in 1,565.9 mm of precipitation in the open, and 163.4 mm were intercepted by the canopy. The gross precipitation is directly proportional to the rainfall in the open, since the intercept tends to decrease with the increase of rainfall classes. Negative interception events were recorded, showing another water entrance in the system. Palavras-chave:Araucaria angustifolia (Bertol.) Kuntze, gross precipitation, interception, throughfall, stemflow, precipitação efetiva, interceptação, transprecipitação, escoamento pelo tronco. 117 4 3 artigo anterior 9 Anais II Seminário de Recursos Hídricos da Bacia Hidrográfica do Paraíba do Sul: Recuperação de Áreas Degradadas Serviços
Given the intrinsic hydrological cycle made of large input of water vapour and intense precipitation producing large volumes of water and sediment, modelling runoff and water losses in humid tropical watersheds is important for forest and water resources management. For instance, reliable simulations of the water cycle in such environments are a prerequisite for predictions of water quality, soil erosion and the climate change effects on water resources. The distributed parameter, physically based, continuous simulation, daily time step AnnAGNPS model, was implemented in almost completely forested (98% of its area, 0.56 km) Cunha watershed (Brazil) to assess its capability to simulate hydrological processes under tropical conditions. The simulated surface runoff was compared to 4-year observations with statistical indices on several time scales. The model, running with default CN of forest, showed poor predictions of runoff. After increasing CN from 63 to 72 by calibration, the runoff prediction capability of AnnAGNPS was satisfactory on annual, seasonal and monthly scales, while daily runoff predictions were less accurate. Modelling water losses at event scale showed that the effect of forest vegetation on water retention during a single precipitation was more limited than for longer periods (months, seasons and years), since evapo-transpiration and interception account for small shares (>20%) of total precipitation. This study demonstrated that the AnnAGNPS model has reliable runoff prediction capacity in tropical forest watersheds at the annual and seasonal scales (E > 0.73), whereas daily runoff simulations are less accurate (E = 0.44). The use of this model may prove an important tool for water resource and territory management in tropical rainforests.
Atividades humanas demandam certos níveis de qualidade da água, no entanto, seus subprodutos a afetam por poluição. Este trabalho objetivou entender a poluição de bacias tributárias por meio da análise de parâmetros de qualidade da água e sua correlação com o uso e a ocupação do solo em microbacias do reservatório Billings na Região Metropolitana de São Paulo (RMSP). Utilizaram-se os parâmetros: Temperatura da água, Turbidez, pH, Oxigênio Dissolvido, Sólidos Totais Dissolvidos, Condutividade Elétrica e Fósforo Total. Os valores foram comparados com a Resolução CONAMA 357/2005. Foi proposto um agrupamento das classes de uso do solo conforme o grau de antropização, por meio de Sistema de Informação Geográfica (SIG). Os resultados mostraram correlações significativas entre os parâmetros de qualidade e o uso e a ocupação do solo. Locais mais antropizados foram responsáveis por uma maior degradação da qualidade da água para os parâmetros: Turbidez, Sólidos Totais Dissolvidos, Condutividade Elétrica e Fósforo Total. Alguns valores para as zonas de influência antrópica apresentaram desacordo com os parâmetros estabelecidos pela resolução CONAMA 357/2005. O estudo demonstrou a importância da preservação da vegetação em áreas de mananciais a fim de contribuir com a qualidade das águas.
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