Spatial Distribution of Soil Attributes in the Concórdia River Watershed in Southern Brazil

Piazza, Gustavo Antônio; Depiné, Haline; Kaufmann, Vander; Pinheiro, Adílson; Gonçalves, Affonso Celso; Oliveira, Marquis Henrique Campos de

doi:10.1002/tqem.21385

Cited by 6 publications

(5 citation statements)

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“…The FS1 is completely covered by Atlantic Forest and the runoff through the leaf litter and soil leaching probably contributed to low pH values (PIAZZA et al, 2014). Miranda, Canellas, and Nascimento (2007) worked with Atlantic Forest fragments and detected pH values of 4.4 in the 0 -10 cm soil samples profile.…”

Section: Resultsmentioning

confidence: 99%

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Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring

Girardi

Pinheiro

Torres

et al. 2016

RBRH

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Studies carried out over short time intervals assist in understanding the biogeochemical processes occurring relatively fast in natural waters. High frequency monitoring shows a greater variability in the water quality during and immediately after heavy rainfall events. This paper presents an assessment of the surface water quality parameters in the Atlantic Forest biome, caused by heavy rainfall events. The work was developed in two fluviometric sections of the Concordia River watershed, located in the state of Santa Catarina, southern Brazil. The spatial distribution of land use shows the predominance of Atlantic Forest in fluviometric section 1 (FS1) and pasture, forestry, agriculture, and Atlantic Forest in fluviometric section 2 (FS2). In each selected heavy rainfall event, the evolution rainfall height, the water level, and physicochemical parameters of water were analyzed. In all events, the water quality changed due to the heavy rainfall. After the events, an increase in water level and turbidity in both fluviometric sections were detected. In addition, the ammonium ion concentration increased in the river, and the pH value and nitrate concentration decreased. The electrical conductivity presented different behavior in each section. The dissolved oxygen concentration increased in 19 of 27 events. The principal component (PC1) correlated with the turbidity in FS1, and it correlated with level, turbidity, and pH in FS2.Keywords: Atlantic Forest; Ombrophilous Dense Forest; Water quality; In situ monitoring. RESUMOEstudos realizados em intervalos curtos de tempo auxiliam no entendimento dos processos biogeoquímicos, que ocorrem relativamente rápido em águas naturais. Os dados de alta frequência revelam maior variabilidade na qualidade da água durante e imediatamente após os eventos de precipitação intensa. Este artigo busca avaliar as alterações dos parâmetros de qualidade de águas superficiais, em bioma de Mata Atlântica, provocadas por eventos de precipitação intensa. O trabalho foi realizado em duas seções fluviométricas da bacia do Ribeirão Concórdia, localizado no estado de Santa Catarina, sul do Brasil. A distribuição espacial do uso do solo demonstra a predominância de Mata Atlântica na seção 1 e pastagem, reflorestamento, Mata Atlântica e agricultura na seção 2. Em cada evento de precipitação intensa selecionado, foi analisada a evolução temporal da altura da precipitação, da cota fluviométrica e de cada parâmetro físico-químico da água. Em todos os eventos a qualidade da água sofreu alterações em virtude da precipitação intensa. Após os eventos, houve aumento da cota e da turbidez em ambas as seções fluviométricas, já o íon amônio teve acréscimo de concentração no rio e o pH diminuiu. A condutividade elétrica apresentou comportamento diferente em cada seção. O nitrato diminuiu sua concentração logo após a precipitação. O oxigênio dissolvido aumentou sua concentração em 19 dos 27 eventos. A componente principal CP1 apresentou correlação com a cota, nitrato e a turbidez, na seção 1 e com cota,...

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Section: Resultsmentioning

confidence: 99%

“…The soil of the region has an acidic pH, reaching 3.96 in the Atlantic Forest area and 4.22 in pasture areas (PIAZZA et al, 2014). The leaf litter material in the flow may change the water pH; explaining PC1in FS2 is related to the pH.…”

Section: Turbiditymentioning

confidence: 99%

Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring

Girardi

Pinheiro

Torres

et al. 2016

RBRH

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“…The hydrographic basin has its catchment outlet at 27°10'54.19" S latitude and 49°31'37.28" W longitude (Figure 1). It has an area of 30.93 km 2 , with approximately half of it occupied by agricultural activities (Piazza et al, 2014). The distribution of land use and occupation is shown in Figure 1.…”

Section: Study Areamentioning

confidence: 99%

“…These are covered by shales, usually varvites, argillites, rhythmites, and siltstones (EM-BRAPA, 2004). The soils are derived from this geological formation and have the following distribution in percentage area: • Cambisols: 62.2%; • Argisols: 32.9%; • Gleisols: 0.9% (Piazza et al, 2014).…”

Section: Study Areamentioning

confidence: 99%

Qualitative assessment in river and phreatic aquifer water in a rural watershed in the Atlantic Forest biome

Melo

Piazza²,

Pinheiro

et al. 2022

Rev. Bras. Ciênc. Ambient.

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Watersheds have different water compartments (surface, subsurface, and underground) connected by the soil-water interface. In order to be able to relate these compartments, monitoring data are necessary, such as the case of the Ribeirão Concórdia watershed, in Lontras, Santa Catarina (SC). This study aimed to evaluate the behavior and the correlation between rainfall-runoff and phreatic surface levels with chemical species concentrations in surface and groundwaters in a rural watershed. Data of 3 piezometers installed in the hydrographic basin were used: PZ2127, PZ3, and PZMC. The piezometers are equipped with hydrostatic level sensors. A fluviometric station is located adjacent to PZ2127 (near the catchment outlet). Concentrations of anions and carbon forms were analyzed in water samples (river and piezometers) taken every 2-3 weeks, from January 14, 2012, to December 23, 2016, totaling 103 samples. Correlations between daily data were verified using Pearson’s correlation coefficient (ρ). The river presented a dilution effect, while the adjacent piezometer had the highest average concentrations of chemical species. Precipitation and chemical species concentration showed no seasonal pattern, with events/peaks throughout the year. Higher concentrations of carbon forms were found in the summer, while lower concentrations were observed in the winter. Positive correlations between concentrations of anions and carbon forms in surface and groundwaters were obtained.

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“…Estes, são cobertos por folhelhos, geralmente várvicos, argilitos, ritmitos e siltitos (EMBRAPA, 2004). Os solos derivaram desta formação geológica e possuem a seguinte distribuição em percentagem de área: cambissolos -62,2%, argissolos -32,9% e gleissolos -0,9% (PIAZZA et al, 2014).…”

Section: áRea De Estudounclassified

Modeling phreatic levels in a rural watershed in Lontras, High Itajaí Valley, SC-Brazil

et al. 2020

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Esse estudo analisou o comportamento de níveis freáticos em uma bacia hidrográfica rural localizada no município de Lontras, Alto Vale do Itajaí, Santa Catarina, sul do Brasil. Os níveis freáticos são monitorados em 3 poços (PZMC localizado em floresta ciliar e PZ2127 e PZ3 em pastagem). A precipitação e as cotas fluviométricas também são monitoradas, sendo as cotas referentes a estação fluviométrica instalada próxima ao PZ2127. A série de evapotranspiração de referência diária foi calculada pelo método de Samani. O monitoramento foi realizado no período de 01 de janeiro de 2012 a 15 de julho de 2019, somando 7,5 anos de dados. Realizou-se uma análise exploratória e uma análise de tendências dos níveis freáticos. A simulação dos níveis freáticos foi desenvolvida com o modelo Predefined Impulse Response Function In Continuous Time (PIRFICT), para o período de 31 de dezembro de 2014 a 19 de janeiro de 2016. Verificou-se uma tendência significativa de decaimento dos níveis do PZMC e do PZ3, e uma tendência significativa de elevação dos níveis do PZ2127. O modelo PIRFICT possibilita um ajuste aceitável para os níveis freáticos. Os erros foram baixos e foi possível caracterizar a relação dinâmica de impulso resposta entre as variáveis explicativas e os níveis observados. As informações obtidas através do monitoramento e modelagem dos níveis freáticos mostram-se necessárias para o gerenciamento dos recursos hídricos locais, planejamento e tomada de decisão.

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Spatial Distribution of Soil Attributes in the Concórdia River Watershed in Southern Brazil

Abstract: Using geographic information system, soil sampling, and statistical analysis to map anthropogenic effects on soil

Cited by 6 publications

References 15 publications

Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring

Evolution of physicochemical species concentration in streams based on heavy rainfall event data obtained for high-frequency monitoring

Qualitative assessment in river and phreatic aquifer water in a rural watershed in the Atlantic Forest biome

Modeling phreatic levels in a rural watershed in Lontras, High Itajaí Valley, SC-Brazil

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