Assessing the large-scale variation of heat budget in poorly gauged watershed-shallow lake system using a novel integrated modeling approach

Munar, Andrés Maurício; Cavalcanti, J. Rafael; Bravo, Juan Martín; Marques, David da Motta; Fragoso, Carlos Ruberto

doi:10.1016/j.jhydrol.2019.05.025

Cited by 10 publications

(8 citation statements)

References 76 publications

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“…All three lakes are shallow and have an elongated shape with their major axis in the NNE-SSW direction, coinciding with the dominant wind direction. In this flat region, the wind can be strong and is one of the main drivers of hydrodynamics, especially in Lake Mangueira and during low flow periods in the other lakes, producing mixing and preventing long periods of stratification during the summer, although it occurs ephemerally. , …”

Section: Methodsmentioning

confidence: 99%

High Spring Warming Rates in an Extensive Subtropical Shallow Lakes System Detected Using MODIS Imagery

Tavares,

Cardoso,

Motta Marques

et al. 2024

ACS EST Water

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The effects of climate change on lake surface water temperature (LSWT) have been well documented in the northern hemisphere but are less understood in the south, particularly in shallow lakes. Here we investigated the warming rates of three large shallow lakes in southern Brazil using a comprehensive 60 year meteorological data set and a 20 year LSWT time series derived from MODIS. Our findings reveal substantial and consistent regional lake water warming concentrated in spring (0.5 °C dec −1 ) and, to a lesser extent, summer (mean trend of 0.3 °C dec −1 ) and annual trends (0.3 °C dec −1 ), in fair agreement with air temperature trends. The data showed an increase in mean, maximum, and minimum air temperatures in these periods, along with a shortening of the cold season for air (−6.3 days dec −1 ) and water (−11.6 days dec −1 ), with all these changes exhibiting heightened intensity in the last 20 years. The remote sensing data showed a fair homogeneity in the warming rates within the lakes but marked spatial differences, possibly owing to the effects of climate change on the tributaries. The warming rates found here can result, for example, in anticipation of phytoplankton phenology and alteration in the functional groups, while the spatial differences in the warming may have additional ecological impacts.

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Section: Methodsmentioning

confidence: 99%

High Spring Warming Rates in an Extensive Subtropical Shallow Lakes System Detected Using MODIS Imagery

Tavares,

Cardoso,

Motta Marques

et al. 2024

ACS EST Water

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“…The Patos-Mirim lagoon system is in the extreme south of Brazil and east of Uruguay, encompassing the Patos and Mirim lagoons (Figure 1). These two lagoons have a total area of 13,749 km 2 (Vieira et al 2020) where the Patos Lagoon comprises 10,000 km 2 (Munar et al 2019) and Mirim Lagoon 3,749 km 2 (Toldo 1994;Friedrichf et al 2006) and their only connection is made by the SGC. The SGC is a 76.6-km long natural channel with a mean depth of 6 m, maximum depth of 15 m, mean width of 250 m and a flood plain area that extends beyond the channel banks varying in range especially in the right banks (Figure 2), being the SGC responsible for draining the entire runoff from Mirim toward Patos.…”

Section: Characterization Of the Study Areamentioning

confidence: 99%

“…In recent years, many studies have been carried out in the Patos-Mirim lagoon system aiming to analyze, among other aspects, its environment hydrodynamics (Costi et al 2018;Munar et al 2018;Oliveira et al 2019;Possa et al 2022), the Mirim Lagoon residence time (Silva et al 2019), spatial and seasonal water surface temperature variations (Munar et al 2019), and the Mirim Lagoon bed sediment composition (Vieira et al 2020). All these mentioned studies had used punctual in situ observed data (water velocity, current direction, discharge, stage) from the main Patos-Mirim lagoon system tributaries and the SGC, and also daily water level time-series from this region in their simulations and analyses.…”

Section: Introductionmentioning

confidence: 99%

Continuous discharge monitoring of the Mirim-São Gonçalo system by the index velocity rating curve method

Gonçalves

Bartels

Lima

et al. 2023

Journal of Hydroinformatics

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The São Gonçalo Channel, located in the south of Brazil, is responsible for connecting the Mirim Lagoon to the Patos Lagoon, constituting the largest coastal lagoon system in Latin America. The assessment of its hydraulic variables is necessary given the importance of this channel for the region. Thus, this study aimed to evaluate the performance of the index velocity rating curve (IVRC) method, from velocity measurements provided by horizontal static-type acoustic Doppler profilers (H-ADCPs). For the two sections analyzed in this study (GS1 and GS2), IVRC models were developed considering the integrated velocity cell (IVC) method; the multi-cell velocity (MCV) method; the joint use of IVC and MCV; and a stage-mean velocity rating curve. The results point to an r2 of 0.986 (IVC), 0.998 (IVC + MCV), 0.534 (stage-mean velocity) at GS1, and r2 of 0.986 (IVC), 0.995 (IVC + MCV), and 0.815 (stage-mean velocity) at GS2. In both GS1 and GS2, results showed significant gains – for different flow conditions – on continuous estimations of flow velocities and discharges when considering the MCV + IVC method. The IVRC model that presented the best fit allowed the development of a time-series of discharges in the studied sites with high reliability.

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“…Aunque se presentaron pequeños errores en la representatividad de algunos parámetros como N-O 2 y N-O 3 (RMSE ≤ 25.8% y RMSE ≤ 9.6.% respectivamente), el modelo representó satisfactoriamente los valores máximos, medios y mínimos de los parámetros DBO, OD y los niveles de agua. Los errores en la representatividad pueden ser debidos a los datos de entrada para el modelo (e.g., caudales) asociados a la regionalización hidrológica (Munar et al, 2018;Munar et al, 2019), errores en la medición de parámetros de calidad de agua (Kim, Aral, Eun, Park, y Park, 2017), errores en la estimación de parámetros del modelo (Zadeh, Nossent, Woldegiorgis, Bauwens, y Van Griensven, 2019), errores en los métodos de solución numérica (Wu, 2008) y baja cobertura espacial y temporal de los datos medidos en la cuenca (Souza y Moecke, 2018). Si bien, no se han realizado estudios de modelación en esta región estuarina, el abordaje propuesto utilizando modelación hidrodinámica/calidad de agua y datos in-situ, representó satisfactoriamente las variaciones espaciales de los niveles de agua y los parámetros de calidad de agua en los 12 puntos de monitoreo.…”

Section: Capacidades Del Modelo Y Limitacionesunclassified

“…El desarrollo industrial, las actividades agrícolas y la urbanización asociada con el crecimiento demográfico son los principales causantes del deterioro de la calidad del agua, principalmente a través del aumento de cargas contaminantes (e.g., nutrientes, materia orgánica, patógenos) (Peierls, Caraco, Pace y Cole, 1991; Vernberg, Vernberg, Blood, y Fortner,1992; Hopkinson y Vallino, 1995; Handler, Paytan, Higgins, Luthy y Boehm, 2006). El transporte de cargas contaminantes desde las cuencas hidrográficas a cuerpos receptores (e.g., ríos, lagos, arroyos, embalses y zonas costeras) influye directamente en la calidad del agua (Hoyos, Rodríguez y Torres, 2018; Johnson y Zhang, 2016; Munar et al, 2018;Munar, et al 2019). La posición de estos ecosistemas y en especial los localizados en áreas estuarinas, representa mayor vulnerabilidad a la incidencia del aumento del nivel del mar y las perturbaciones humanas (White y Kaplan, 2017; Rabalais et al, 2010).…”

Section: Introductionunclassified

Modelación hidrodinámica y de calidad del agua en un ecosistema estuarino urbano con incidencia maregráfica y vertimientos de aguas residuales

2021

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El efecto del régimen de mareas y la descarga directa de aguas residuales en áreas estuarinas pueden incrementar los problemas de contaminación debido a la retención y transporte de cargas contaminantes. El uso de modelos matemáticos se ha convertido en una herramienta esencial para la gestión del recurso hídrico en estos ambientes. En esta investigación se modeló la incidencia del régimen de mareas y los vertimientos de aguas residuales en la calidad de agua en un ambiente estuarino urbano utilizando el modelo HEC-RAS. El modelo fue calibrado/validado utilizando el caudal medio de largo periodo (QMLT) y parámetros de calidad de agua medidos en campo, tales como: DBO, OD, N-O2 y N-O3. Los resultados evidenciaron que los niveles de agua, caudales y parámetros de calidad de agua medidos en campo fueron bien representados por el modelo. Las simulaciones mostraron que la calidad del agua en todos los trechos aguas abajo de la PTAR se encuentran eutrofizados. Adicionalmente, el régimen de marea provoca retención y transporte de contaminantes en áreas de baja pendiente. El abordaje propuesto se constituye en una valiosa herramienta para evaluar la calidad de agua en ambientes estuarinos urbanos y áreas circundantes con incidencia de régimen maregráfico.

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Assessing the large-scale variation of heat budget in poorly gauged watershed-shallow lake system using a novel integrated modeling approach

Cited by 10 publications

References 76 publications

High Spring Warming Rates in an Extensive Subtropical Shallow Lakes System Detected Using MODIS Imagery

High Spring Warming Rates in an Extensive Subtropical Shallow Lakes System Detected Using MODIS Imagery

Continuous discharge monitoring of the Mirim-São Gonçalo system by the index velocity rating curve method

Modelación hidrodinámica y de calidad del agua en un ecosistema estuarino urbano con incidencia maregráfica y vertimientos de aguas residuales

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