High-frequency monitoring for the identification of hydrological and bio-geochemical processes in a Mediterranean river basin

Moraetis, Daniel; Efstathiou, Dionissis; Stamati, Fotini; Tzoraki, Ourania; Nikolaidis, Nikolaos P.; Schnoor, Jerald L.; Vozinakis, Konstantinos

doi:10.1016/j.jhydrol.2010.05.037

Cited by 66 publications

(72 citation statements)

References 22 publications

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“…This is possibly because of the turbulence caused by increased river flow (Figure 8). Moraetis et al (2010) detected increased dissolved oxygen during heavy rainfall events in a high-frequency monitoring of a Mediterranean river.…”

Section: Resultsmentioning

confidence: 95%

“…Although there are numerous studies showing that weekly samples can be used to elucidate the seasonal response and nutrient flow, high frequency data show a greater variability in the water quality under the influence of heavy rainfall events. The temporal sample collection distribution is critical in determining the chemical status of the stream and can be used as a basis for climate assessment and land use changes within a watershed area (MORAETIS et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…These technological developments provide rainfall measurements, stream flow, and physicochemical parameters in short time intervals (KIRCHNER et al, 2004), such as seven-hour intervals NEAL et al, 2013;NEAL et al, 2012), two-hour intervals (DONN; BARRON; BARR, 2012), hourly intervals (BOWES et al, 2015;HALLIDAY et al, 2014;JORDAN et al, 2007;RÜCKER;SCHRAUTZER, 2010;WADE et al, 2012), or in minutes (CASSIDY; JORDAN, 2011;DOWNING et al, 2009;MORAETIS et al, 2010;TERCIER-WAEBER et al, 2009). High frequency monitoring helps our understanding of the biogeochemical processes that occur in natural waters in short time intervals (MORAETIS et al, 2010;SANDFORD;EXENBERGER;WORSFOLD, 2007;WADE et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Studies with high frequency sampling of streams managed to correlate changes in the electrical conductivity to the water runoff (ROBSON et al, 1992), demonstrate the diurnal and seasonal dynamics of nutrients (BOWES; SMITH; NEAL, 2009;CASSIDY;JORDAN, 2011;DONN;BARRON;BARR, 2012;HALLIDAY et al, 2014HALLIDAY et al, , 2012MORAETIS et al, 2010;NEAL et al, 2012;SANDFORD;EXENBERGER;WORSFOLD, 2007;SCHOLEFIELD et al, 2005;WADE et al, 2012) and metal species (TERCIER-WAEBER et al, 2009), enable mass balances in watersheds (JORDAN et al, 2007;RÜCKER;SCHRAUTZER, 2010), and analyze the spatial and temporal variations of dissolved oxygen (MALCOLM; SOULSBY; YOUNGSON, 2006).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

View full text Add to dashboard Cite

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“…Sensor technology is continuously developing and as a result, the ability to record and store measurements is ever-improving (Yick et al 2008). Accordingly, environmental monitoring programmes make use of these sensors to record hourly or sub-hourly (e.g., every minute) measurements (Moraetis et al 2010). Sensor hydrological data recorded at short time frames over a long time period are referred to as "Hydrological HighFrequency Data (HHFD)" (Kirchner et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Challenges in modeling detailed and complex environmental data sets: a case study modeling the excess partial pressure of fluvial $$\hbox {CO}_2$$ CO 2

et al. 2015

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Advances in sensor technology enable environmental monitoring programmes to record and store measurements at a high temporal resolution, enhancing the capacity to detect and understand short duration changes that would not have been apparent in the past with monthly, fortnightly or even daily sampling. However, there are various challenges in terms of the processing and analysis of these environmental high-frequency data due to their complex behavior over the different timescales and the strong correlation structure that persists over a large number of lags. Here, we explore the complexities of modeling high-frequency data which arise from environmental applications. With increasing understanding of the importance of surface waters as a source of atmospheric CO 2 we consider a high-resolution sensor-generated time series of the over-saturation of CO 2 , EpCO 2 , in a small order river system. We will present advanced statistical approaches to analyze and model the data, which include visualization tools for exploratory analysis, wavelets and additive models. These methods reveal the complex dynamics of EpCO 2 over different timescales, and the multivariate relationships of EpCO 2 with hydrology and temporal autocorrelation structures, which are time and scale dependent.Handling Editor: Bryan F. J. Manly. Electronic supplementary materialThe online version of this article

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High‐frequency monitoring of hydrological and biogeochemical fluxes in forested catchments of southern Chile

Frêne

Armestó

Véliz

et al. 2021

Hydrological Processes

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The variability of rainfall-dependent streamflow at catchment scale modulates many ecosystem processes in wet temperate forests. Runoff in small mountain catchments is characterized by a quick response to rainfall pulses which affects biogeochemical fluxes to all downstream systems. In wet-temperate climates, water erosion is the most important natural factor driving downstream soil and nutrient losses from upland ecosystems.Most hydrochemical studies have focused on water flux measurements at hourly scales, along with weekly or monthly samples for water chemistry. Here, we assessed how water and element flows from broad-leaved, evergreen forested catchments in southwestern South America, are influenced by different successional stages, quantifying runoff, sediment transport and nutrient fluxes during hourly rainfall events of different intensities. Hydrograph comparisons among different successional stages indicated that forested catchments differed in their responses to high intensity rainfall, with greater runoff in areas covered by secondary forests (SF), compared to old-growth forest cover (OG) and dense scrub vegetation (CH). Further, throughfall water was greatly nutrient enriched for all forest types. Suspended sediment loads varied between successional stages. SF catchments exported 455 kg of sediments per ha, followed by OG with 91 kg/ha and CH with 14 kg/ha, corresponding to 11 rainfall events measured from December 2013 to April 2014. Total nitrogen (TN) and phosphorus (TP) concentrations in stream water also varied with rainfall intensity. In seven rainfall events sampled during the study period, CH catchments exported less nutrients (46 kg/ha TN and 7 kg/ha TP) than SF catchments (718 kg/ha TN and 107 kg/ha TP), while OG catchments exported intermediate sediment loads (201 kg/ha TN and 23 kg/ha TP). Further, we found significant effects of successional stage attributes (vegetation structure and soil physical properties) and catchment morphometry on runoff and sediment concentrations, and greater nutrients retention in OG and CH catchments. We conclude that in these southern hemisphere, broad-leaved evergreen temperate forests, hydrological processes are driven by multiple interacting phenomena, including climate, vegetation, soils, topography, and disturbance history.

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High-frequency monitoring for the identification of hydrological and bio-geochemical processes in a Mediterranean river basin

Cited by 66 publications

References 22 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

Challenges in modeling detailed and complex environmental data sets: a case study modeling the excess partial pressure of fluvial $$\hbox {CO}_2$$ CO 2

High‐frequency monitoring of hydrological and biogeochemical fluxes in forested catchments of southern Chile

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