Archives

2019

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Vol 14, No 2 (2019)

In a review about the use of isoscapes for natural resource management in the Brazilian context, which has high biological diversity and landscape heterogeneity, the authors present this figure that shows mean annual precipitation δ18O (A) and δ2H (B) isoscapes. As this figure presents, the average rates show a significantly lower spatial variation in comparison to temporal and spatial fluctuation found by other studies at a state level. Therefore, developing precipitation isoscape models specific for Brazil is imperative, since current global models mask part of the natural variations of isotopic ratios.

Source: SENA-SOUZA, J. P. et al. Background and the use of isoscapes in the Brazilian context: essential tool for isotope data interpretation and natural resource management. Rev. Ambient. Água, Taubaté, vol. 14 n. 2, p. 1-27, 2019. doi:10.4136/ambi-agua.2282

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Vol 14, No 1 (2019)

The figure shows the resulting morphometric characterization of Peixe river watershed derived from different digital elevation models generated from five elevation data sources (three from SRTM 90-meter resolution data and two from 1:100.000 scale topographic maps). Results indicated that SRTM-O, SRTM-TR, and CT-TR provided the incorrect generation of hydrography in the region of the São Franciscana Depression (flat region), observed by the diversion of main river and generation of the mouth in another basin, causing significant errors in the determination of the morphometric characteristics of the basin, mainly in the drainage area and length of the main river. On the other hand, SRTM-TRH and CT-TRH presented excellent performance and are indicated for on-site study.

Source: FICHER, K. N. et al. Assessment of digital elevation models to obtain morphometric characteristics in relief transition region. Rev. Ambient. Água, Taubaté, vol. 14 n. 1, p. 1-14, 2019. doi:10.4136/ambi-agua.2280


2018

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Vol 13, No 6 (2018)

These maps show the variation of EI30 index that was computed as the product of total kinetic rainfall energy (EC) and maximum 30-min precipitation intensity (I30) in Mato Grosso State, Brazil. During the first and second EI30 periods (October-November and December-March, respectively) many agricultural activities occur in the State. The most critical period is October to February when activities such as tilling, sowing, and harvesting are concentrated. The third period (April-September) is the least critical because the majority of the soils are covered by the crop canopy.

Source: RAIMO, L. A. D. L. D. et al. Spatio-temporal variability of erosivity in Mato Grosso, Brazil. Rev. Ambient. Água, Taubaté, vol. 13 n. 6, p. 1-14, 2018. doi:10.4136/ambi-agua.2276

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Vol 13, No 5 (2018)

Domestic wastewater COD (Chemical Oxygen Demand) elimination using electrocoagulation is influenced by changes in current intensity, pH conditions and time. A three-dimension graphic visualization of the combination of two of these factors at a time is presented in this figure. Authors claim that this technique is more effective than biological processes for the removal of COD from domestic wastewater.

Source: ASCÓN, E. A. A. Elimination of chemical oxygen demand from domestic residual water by electrocoagulation with aluminum and iron electrodes. Rev. Ambient. Água, Taubaté, vol. 13 n. 5, p. 1-16, 2018. doi:10.4136/ambi-agua.2240

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Vol 13, No 4 (2018)

This graph shows the influence of rainfall on the seasonal variation in cadmium (Cd) concentration in water samples from five reservoirs (R) and an artesian well (home). Intensive farming using agrochemicals (fertilizers and pesticides) can increase heavy metal concentrations in the soil-water-plant system, especially in the case of elements poorly retained by the soil and easily lost to leaching.

Source: SILVA, L. S. et al. Heavy metals in waters used for human consumption and crop irrigation. Rev. Ambient. Água, Taubaté, vol. 13 n. 4, p. 1-10, 2018. doi:10.4136/ambi-agua.1999

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Vol 13, No 3 (2018)

These maps show the results of applying inverse distance weighting (IDW) interpolation technique of temperature (A), pH (B) and total dissolved solids -TDS (C) against the distribution of breeding sites and water reservoirs to determine how susceptible these areas were for schistosomiasis intermediate hosts colonization.

Source: BARBOSA, C. S. et al. Insalubrious touristic environments and schistosomiasis transmission in Pernambuco, Brazil. Rev. Ambient. Água, Taubaté, vol. 13 n. 3, p. 1-10, 2018. doi:10.4136/ambi-agua.2151

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Vol 13, No 2 (2018)

Map showing an area in central Mato Grosso State, Brazil, where albedo variation values of forest, burned vegetation, water, and crop areas were analyzed in this Amazon-Cerrado transition zone.

Source: FARIA, T. O. et al. Surface albedo in different land-use and cover types in Amazon forest region. Rev. Ambient. Água, Taubaté, vol. 13 n. 2, p. 1-13, 2018. doi:10.4136/ambi-agua.2120

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Vol 13, No 1 (2018)

Maps showing adequate areas for the cultivation of two varieties of eucalyptus obtained by the application of the Multi-Objective Land Allocation (MOLA) tool.

Source: FRAGA, M. S. et al. Climatic zoning for eucalyptus cultivation through strategic decision analysis. Rev. Ambient. Água, Taubaté, vol. 13 n. 1, p. 1-13, 2018. doi:10.4136/ambi-agua.2119


2017

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Vol 12, No 6 (2017)

Maps of the upper Stör catchment including general location (A), elevation with gauging stations (B); soil (C); and land use (D).

Source: POTT, C. A. et al. Best management practices to reduce nitrate pollution in a rural watershed in Germany. Rev. Ambient. Água, Taubaté, vol. 12 n. 6, p. 888-901, 2017. doi:10.4136/ambi-agua.2099

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Vol 12, No 5 (2017)

Altitude and distribution of weather stations in the state of Paraná, Brazil

Source: SANTOS, L. C. et al. Space-time variability of evapotranspiration and precipitation in the State of Paraná, Brazil. Rev. Ambient. Água, Taubaté, vol. 12 n. 5, p. 743-759, 2017. doi: 10.4136/ambi-agua.2057

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Vol 12, No 4 (2017)

ASTER digital elevation model for the Tocantins State and spatial distribution of the rainfall stations used in the present study

Source: SILVA NETO, V. L. et al. Daily rainfall disaggregation for Tocantins State, Brazil. Rev. Ambient. Água, Taubaté, vol. 12 n. 4, p. 605-617, 2017. doi: 10.4136/ambi-agua.2077

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Vol 12, No 3 (2017)

Spatial distribution of hydrological stations and watersheds studied in La Guajira Peninsula (Colombia)

Source: DOMÍNGUEZ CALLE, E. A. et al. Objective assessment of ecosystem hydrological services in tropical areas: A Colombian experience in arid and semi-arid zones. Rev. Ambient. Água, Taubaté, vol. 12 n. 3, p. 365-379, 2017. doi: 10.4136/ambi-agua.2098

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Vol 12, No 2 (2017)

Influence of relief on H2S dispersion.

Source: AUGUSTO, M. R.et al. Simulação numérica da dispersão do sulfeto de hidrogênio emitido por um reator UASB para tratamento de esgoto doméstico. Rev. Ambient. Água, Taubaté, vol. 12 n. 2, p. 215-225, 2017. doi: 10.4136/ambi-agua.1841

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Vol 12, No 1 (2017)

Test site to for the geo-inspired model of natural vector multi-agents corresponding to La Perdiz River Basin, Florencia city, Colombia.

Source: MILLAN ROJAS, E. E. et al. Natural vector multi-agents geo-inspired in environmental management. Rev. Ambient. Água, Taubaté, vol. 12 n. 1, p. 47-56, 2017. doi: 10.4136/ambi-agua.1912


2016

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Vol 11, No 5 (2016)

Protocolo de avaliação rápida de pontos da bacia hidrográfica. Trechos impactados: 0 a 25 pontos; trechos alterados: 26 a 40 pontos e trechos naturais: 41 a 60 pontos.

Source: BAIÃO, C.F.P. et al. Avaliação de bacia hidrográfica por alunos do Ensino Fundamental: contribuição ao ensino dos recursos hídricos. Rev. Ambient. Água, Taubaté, vol. 11 (suplemento), p. 1056-1068, 2016. doi: 10.4136/ambi-agua.1895

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Vol 11, No 4 (2016)

Domain of models: (a) global HadGEM2 (resolution 140 x 208 km) and (b) regional RegCM4 (resolution 28 x 28 km) of tropical South America with emphasis on (c) the Brazilian Amazon region. Colors represent the topography (m) and blue contours show the hydrology (main rivers).

Source: ROSA, A.G.et al. Erosividade da chuva em Rondon do Pará, PA, Brasil de 1999 a 2015 e projetada para 2035. Rev. Ambient. Água, Taubaté, vol. 11 n. 4, p. 1006-1021, 2016. doi:10.4136/ambi-agua.1956

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Vol 11, No 3 (2016)

Bathymetry used in computational modeling of the Santos Estuarine System water renewal.

Source: ROVERSI, F. et al. Análise da renovação das águas do Sistema Estuarino de Santos usando modelagem computacional. Rev. Ambient. Água, Taubaté, vol. 11 n. 3, p. 566-585, 2016. doi:10.4136/ambi-agua.1770




2013

Vol 8, No 4 (2013)

Para celebrar 15 anos do Curso de Pós-Graduação em Ciências Ambientais da Universidade de Taubaté (UNITAU), o Conselho Editorial da Revista Ambiente & Água convidou o Coordenador e Vice-Coordenadora do Curso para editarem um número suplementar do volume 8, 2013 com os artigos mais significativos resultantes de dissertações dos últimos anos do curso.