piracicaba river
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2022 ◽  
Vol 34 (1) ◽  
Author(s):  
Ana Claudia Pereira Carvalho ◽  
Reinaldo Lorandi ◽  
José Augusto Di Lollo ◽  
Eduardo Goulart Collares ◽  
Luiz Eduardo Moschini

Use of water for several human needs, associated with climate change, indicates the need understand the response of watersheds, in order to provide adequate water resources planning and management. This study was carried out in two pairs of hydrographic watersheds, in the Piracicaba River Basin, southeast of Brazil, analyzing water response, integrating in-situ collected precipitation and flow data, natural environment attributes, and anthropic environmental data. To support the analysis, Surface Runoff Potential Charts (SRPC). The evaluation of the physical characteristics of the sub watersheds (SW(A) and SW(B)) shows that these areas present very low to low potential, indicating greater infiltration capacity. The use and coverage of the soil partially justifies the flow changes in pair 1, since SW(A) has a larger extent of agricultural areas that can use irrigation. SW(B), even with a greater variety of crops, has a smaller cultivated area and tends to demand less water. At pair 2, the low runoff potential is mainly due to the predominance of flat relief in the sub-basins. The soils that compose them present a higher fraction of silt and clay, with thicknesses > 5m in SW(C) and varying from 0.5m, reaching depths above 5m in SW(D), however, the physical properties of these soils do not provide a low flow rate, but associated with the low slope of the land, the geological characteristics and low drainage density are configured in regions where the flow flows more slowly, contributing to the evaporation and infiltration process. The use and coverage of the soil also partially justifies the flow oscillations, due to anthropic activities in SW(C) and SW(D), such as irrigation and spraying of citrus, fertirrigation of sugarcane, irrigation of seedling nurseries, directly interfering with the availability of surface water.


Author(s):  
Camila Billerbeck ◽  
Ligia Monteiro da Silva ◽  
Silvana Susko Marcellini ◽  
Arisvaldo Méllo Junior

Abstract Regional climate models (RCM) are the main tools for climate change impacts assessment in hydrological studies. These models, however, often show biases when compared to historical observations. Bias Correction (BC) are useful techniques to improve climate projection outputs. This study presents a multi-criteria decision analysis (MCDA) framework to compare combinations of RCM with selected BC methods. The comparison was based on the modified Kling-Gupta efficiency (KGE’). The criteria evaluated the general capability of models in reproducing the observed data main statistics. Other criteria evaluated were the relevant aspects for hydrological studies, such as seasonality, dry and wet periods. We applied four BC methods in four RCM monthly rainfall outputs from 1961 to 2005 in the Piracicaba river basin. The Linear Scaling (LS) method showed higher improvements in the general performance of the models. The RCM Eta-HadGEM2-ES, corrected with Standardized Reconstruction (SdRc) method, achieved the best results when compared to the observed precipitation. The bias corrected projected monthly precipitation (2006-2098) preserved the main signal of climate change effects when compared to the original outputs regarding annual rainfall. However, SdRc produced significant decrease in monthly average rainfall, higher than 45% for July, August and September for RCP4.5 and RCP8.5 scenarios.


2020 ◽  
Vol 13 (6) ◽  
pp. 3060
Author(s):  
Suelen Crispim Sutil ◽  
José Augusto Costa Gonçalves ◽  
Eliane Maria Vieira

A avaliação da fragilidade ambiental das bacias hidrográficas vem se tornando cada vez mais importante no cenário ambiental, devido ao desenvolvimento gradativo da sociedade e a expansão tecnológica e econômica ao longo dos anos. Uma estratégia adotada para amenizar a degradação e restabelecer o equilíbrio, é a formação de corredores ecológicos (CEs), que auxilia na ligação entre remanescentes naturais. A bacia do rio Piracicaba passa por um longo histórico de degradação e de fragmentação florestal, principalmente próximo às cidades devido ao desmatamento de matas ciliares. Em vista disso, este trabalho analisou e comparou a aplicação de dois diferentes modelos de fragilidade ambiental, aplicada a esta bacia e, a partir de seus produtos identificou a melhor metodologia base para a proposição de corredores ecológicos na região. Com os resultados obtidos, foi possível inferir que, além de grande parte da bacia apresentar grau de fragilidade entre fraco e médio, as áreas mais vulneráveis são aquelas mais próximas à cabeceira da bacia. O estabelecimento dos corredores ecológicos abrangeu, prioritariamente, as áreas de maior fragilidade entre a conexão dos fragmentos de vegetação e as Áreas de Preservação Permanentes (APPs), assim, verificou-se que é necessário o reflorestamento de cerca de 342,24 km² das APPs da bacia para que seja possível a conexão entre as remanescentes e 2,0 km²  de áreas de ligação. Comparative analysis of the environmental fragility of the Piracicaba river basin using two methodological models: support for the application and proposition of Biological Corridors A B S T R A C TThe assessment of a river basin’s environmental fragility has become even more important on the environmental scenery due to society’s gradual development and technological and economic expansion over the years. An adopted strategy to ease the degradation and restore the ecological balance is the establishment of biological corridors that can assist the connection between natural forest patches. The Piracicaba river basin has been going through a long history of degradation and forest fragmentation, especially near the cities because of the deforestation of riparian forests. Therefore, this paper analyzed and compared the application of two adapted environmental fragility models in this river basin and identified from their products the best base methodology for the proposition of ecological corridors. From the results, it was possible to infer that, in addition to a big part of the basin present poor and average fragility level, the most vulnerable areas are the ones close to the source of the main rivers. The biological corridors establishment covered, primarily, the most vulnerable areas between the fragments of remaining forests and the Permanent Preservation Areas (PPAs) and, from this, it was possible to verify that the reforestation of around 132,14 mi² of PPAs is necessary for the connection of patches of remaining forests and 0,77 mi² of connections areas.Keywords: environmental vulnerability, geoprocessing, environmental management.


2020 ◽  
Vol 743 ◽  
pp. 140730 ◽  
Author(s):  
Fabiano Tomazini da Conceição ◽  
Alexandre Martins Fernandes ◽  
Christophe Hissler ◽  
Cenira Maria Lupinacci ◽  
Amauri Antonio Menegário ◽  
...  

2020 ◽  
Vol 103 ◽  
pp. 102752
Author(s):  
Tárcio Rocha Lopes ◽  
Marcos Vinicius Folegatti ◽  
Sérgio Nascimento Duarte ◽  
Cornélio Alberto Zolin ◽  
Luciano Sobral Fraga Junior ◽  
...  

Phytotaxa ◽  
2020 ◽  
Vol 456 (1) ◽  
pp. 105-113
Author(s):  
STÉFANO ZORZAL-ALMEIDA ◽  
ELAINE C. RODRIGUES BARTOZEK ◽  
EDUARDO A. MORALES ◽  
DENISE C. BICUDO

A new diatom species, Brachysira aristidesii sp. nov., is described from three oligotrophic and mesotrophic reservoirs in Piracicaba River basin, State of São Paulo, Brazil. Descriptions are based on light and scanning electron microscopy. The new species is mainly characterized by rhombic-lanceolate valves with strongly capitated ends, filiform and straight raphe, narrow and linear axial area, slightly radiate striae and transapically elongated areolae. It is compared to Brachysira microcephala, B. silvicola, B. vitrea, B. neoexilis and Nupela brachysiroides. Our findings suggest that Brachysira aristidesii is a species mainly associated to high water transparency, low to moderate conductivity, slightly acidic and low nutrient environments.


Irriga ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 202-222
Author(s):  
Eduardo Morgan Uliana ◽  
Demetrius David da Silva ◽  
Michel Castro Moreira ◽  
Silvio Bueno Pereira ◽  
Donizete Dos Reis Pereira

MODELOS HIDROLÓGICOS SAC-SMA E IPH II: CALIBRAÇÃO E AVALIAÇÃO DO DESEMPENHO NA ESTIMATIVA DE VAZÕES NA BACIA DO RIO PIRACICABA (MG)4     EDUARDO MORGAN ULIANA1; DEMETRIUS DAVID DA SILVA2; MICHEL CASTRO MOREIRA2; SILVIO BUENO PEREIRA2 E DONIZETE DOS REIS PEREIRA3   1Instituto de Ciências Agrárias e Ambientais, Universidade Federal de Mato Grosso, Avenida Alexandre Ferronato, 1200, Setor Industrial, CEP. 78557-267, Sinop, Mato Grosso, Brasil, [email protected]   2Departamento de Engenharia Agrícola, Universidade Federal de Viçosa, Campus Universitário, CEP. 36570-900, Viçosa, Minas Gerais, Brasil, [email protected], [email protected] 3Instituto de Ciências Agrárias, Universidade Federal de Viçosa, Rodovia LMG 818, km 06, CEP. 35690-000, Florestal, Minas Gerais, Brasil, [email protected] 4 O artigo é referente ao capítulo 1 da tese de doutorado do primeiro autor.     1 RESUMO   O objetivo do trabalho foi avaliar o desempenho dos modelos conceituais chuva-vazão Soil Moisture Accounting (SAC-SMA) e IPH II para a estimativa das vazões diárias na bacia hidrográfica do rio Piracicaba (MG), de modo que os mesmos possam ser utilizados para subsidiar o planejamento e a gestão de recursos hídricos na bacia. O estudo foi realizado em três seções de monitoramento de vazão da bacia do rio Piracicaba, localizada no estado de Minas Gerais - Brasil. A calibração dos modelos foi realizada com o algoritmo SCE-UA, utilizando como função objetivo o índice de Nash-Sutcliffe. Os valores do índice de eficiência de Nash-Sutcliffe obtidos nas três seções de monitoramento foram de 0,87, 0,78 e 0,71 para o modelo SAC-SMA e de 0,88, 0,80, e 0,73 para o modelo IPH II, confirmando que os modelos são “adequados e bons” para a estimativa das vazões diárias. Concluiu-se, portanto, que os modelos SAC-SMA e IPH II são adequados para a estimativa das vazões diárias de cursos de água da bacia do rio Piracicaba (MG), demonstrando potencial para serem utilizados em estudos relacionados com simulação hidrológica e gestão de recursos hídricos em bacias hidrográficas de regiões tropicais.   Palavras-chave: modelo concentrado, chuva-vazão, planejamento de recursos hídricos, previsão.     ULIANA, E. M.; SILVA, D. D.; MOREIRA, M. C.; PEREIRA, S. B.; PEREIRA, D. R. SAC-SMA AND IPH II HYDROLOGICAL MODELS: CALIBRATION AND PERFORMANCE ASSESSMENT FOR WATER FLOW ESTIMATE IN PIRACICABA RIVER BASIN (MG)     2 ABSTRACT   The aim of this study was to evaluate the performance of conceptual models Sacramento - Soil Moisture Accounting (SAC-SMA) and IPH II for daily flow estimation in Piracicaba river basin, Minas Gerais, so that they may be used in the planning and management of water resources in the river basin. The study was carried out in three runoff-monitoring sections on Piracicaba river basin, located in the State of Minas Gerais - Brazil. Model calibration was performed through the Shuffled Complex Evolution (SCE-UA) algorithm, whose objective function was the Nash-Sutcliffe efficiency index. The Nash-Sutcliffe efficiency index values obtained in the three monitoring-sections were 0.87, 0.78, and 0.71 for the SAC-SMA model, and 0.88, 0.80, and 0.73 for the IPH II one. These values confirm that the models are “appropriate and good” for daily flow estimations. Overall, both models can be further used for hydrologic simulations and water resources management in tropical river basins.   Keywords: concentrated models, rainfall-runoff, planning of water resources, forecast.


Irriga ◽  
2018 ◽  
Vol 23 (4) ◽  
pp. 756-772
Author(s):  
Eduardo Morgan Uliana ◽  
Demetrius David da Silva ◽  
Michel Castro Moreira ◽  
Donizete Dos Reis Pereira ◽  
Silvio Bueno Pereira ◽  
...  

DESENVOLVIMENTO DE REDES NEURAIS ARTIFICIAIS PARA ESTIMATIVA DAS VAZÕES DIÁRIAS NA BACIA DO RIO PIRACICABA5     EDUARDO MORGAN ULIANA1; DEMETRIUS DAVID DA SILVA2; MICHEL CASTRO MOREIRA3; DONIZETE DOS REIS PEREIRA4; SILVIO BUENO PEREIRA2 E FREDERICO TERRA DE ALMEIDA1   1Universidade Federal de Mato Grosso (UFMT), Instituto de Ciências Agrárias e Ambientais (ICAA), Avenida Alexandre Ferronato, CEP.: 78557-267, Sinop – MT, Brasil, e-mail: [email protected], [email protected]. 2Universidade Federal de Viçosa (UFV), Departamento de Engenharia Agrícola, Avenida Peter Henry Rolfs, CEP.: 36570-900, Viçosa – MG, Brasil, e-mail: [email protected]. 3Universidade Federal do Oeste da Bahia, Centro das Ciências Exatas e das Tecnologias, Rua Professor José Seabra de Lemos, CEP.: 47808-021, Barreiras – BA, Brasil, e-mail: [email protected]. 4Universidade Federal de Viçosa (UFV), Instituto de Ciências Agrárias, Rodovia LMG 818, km 06, Florestal – MG, Brasil, e-mail: [email protected]. 5O artigo é referente ao capítulo 3 da tese de doutorado do primeiro autor.     1 RESUMO   As Redes Neurais Artificiais (RNAs) são uma alternativa na modelagem hidrológica para a estimativa das vazões dos cursos de água a partir de dados hidrometeorológicos. O objetivo do trabalho foi desenvolver Redes Neurais Artificiais para estimar as vazões diárias na bacia hidrográfica do rio Piracicaba, Minas Gerais. O estudo foi realizado em três seções de monitoramento de vazão da bacia do rio Piracicaba, localizada no Estado de Minas Gerais - Brasil. No desenvolvimento das RNAs foram realizados a coleta e seleção dos dados; a definição da arquitetura da rede; e o treinamento e validação das redes desenvolvidas. A maior parte das RNAs desenvolvidas apresentou coeficiente de Nash-Sutcliffe maior que 0,80 o que permitiu classificar os modelos como bons para a estimativa das vazões. Com base nos resultados, pode-se concluir que as RNAs são adequadas para a estimativa das vazões diárias na bacia do rio Piracicaba e podem ser empregadas na estimativa de eventos extremos e no gerenciamento dos recursos hídricos.   Palavras-Chave: modelo empírico inteligência artificial, modelagem hidrológica.     ULIANA, E. M.; SILVA, D. D.; MOREIRA, M. C.; PEREIRA, D. R.; PEREIRA, S. B.; ALMEIDA, F. T. ARTIFICIAL NEURAL NETWORKS FOR DAILY FLOW ESTIMATES IN THE PIRACICABA RIVER BASIN     2 ABSTRACT   Artificial neural networks (ANNs) have been used alternatively in hydrologic modeling to estimate accurately watercourse flows based on hydrometeorological data. This study developed artificial neural networks to estimate daily flows in Piracicaba river basin, in Minas Gerais state (Brazil). For this, we used three runoff-monitoring sections of the Piracicaba river basin, with an area of 5,304.0 km2, and located in the State of Minas Gerais – Brazil. For designing the ANNs to estimate daily flows, we adopted the following steps: data collection and selection, network architecture definition, training and validation of results. The results showed that ANNs are adequate to estimate daily flows in Piracicaba river basin.   Keywords: empirical model, artificial intelligence, hydrologic modeling.


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