Comparison of groundwater recharge estimation techniques in an alluvial aquifer system with an intermittent/ephemeral stream (Queensland, Australia)

King, A. C.; Raiber, Matthias; Cox, Malcolm; Cendón, Dioni I.

doi:10.1007/s10040-017-1565-5

Cited by 24 publications

(13 citation statements)

References 46 publications

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“…This is commonly reported in the literature, for example, Berehanu et al (); Afrifa et al (), although it is less common for studies to report investigation of the reasons for the range of values. Some previous studies, typically using at most three to five recharge estimation techniques, have considered the basis for differing recharge estimates in more detail, and concluded that the range of recharge estimates contains useful information to inform further understanding of the conceptual model (e.g., Coes et al ; King et al ). For our study, there were sufficient data of suitable quality to apply a larger number of recharge estimation methodologies at a single site, so a wider investigation was made to assess which of the most commonly applied recharge estimation methods could help to provide insights and increase understanding of the hydrogeological system.…”

Section: Introductionmentioning

confidence: 99%

Insights From a Multi‐Method Recharge Estimation Comparison Study

Walker¹,

Parkin

Schmitter

et al. 2018

Groundwater

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Although most recharge estimation studies apply multiple methods to identify the possible range in recharge values, many do not distinguish clearly enough between inherent uncertainty of the methods and other factors affecting the results. We investigated the additional value that can be gained from multi-method recharge studies through insights into hydrogeological understanding, in addition to characterizing uncertainty. Nine separate groundwater recharge estimation methods, with a total of 17 variations, were applied at a shallow aquifer in northwest Ethiopia in the context of the potential for shallow groundwater resource development. These gave a wide range of recharge values from 45 to 814 mm/a. Critical assessment indicated that the results depended on what the recharge represents (actual, potential, minimum recharge or change in aquifer storage), and spatial and temporal scales, as well as uncertainties from application of each method. Important insights into the hydrogeological system were gained from this detailed analysis, which also confirmed that the range of values for actual recharge was reduced to around 280-430 mm/a. This study demonstrates that even when assumptions behind methods are violated, as they often are to some degree especially when data are limited, valuable insights into the hydrogeological system can be gained from application of multiple methods.

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Section: Introductionmentioning

confidence: 99%

Insights From a Multi‐Method Recharge Estimation Comparison Study

Walker¹,

Parkin

Schmitter

et al. 2018

Groundwater

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“…As camadas mais superficiais de um solo, seus constituintes e suas interações com o meio adjacente são de grande importância para as Ciências Agroambientais: o sistema solo-planta-atmosfera, que também engloba a água presente na zona não saturada do solo e, portanto, é de grande interesse para a Hidrologia (TUCCI, SILVEIRA, 2015). A importância de se conhecer os processos que se desenvolvem nesse sistema está relacionado a temas como poluição ambiental (impacto dos despejos de resíduos sólidos, de rejeitos nucleares e de fertilizantes no solo, salinização do solo e da água subterrânea), recarga de reservatórios de água subterrâneas, avaliação de perdas por evaporação e transpiração da planta, manejo da água para fins de irrigação (lâminas a aplicar, necessidade de rebaixamento do aquífero), dentre outros (CHRISTOFOLETIS, 1999, HEALY, COOK, 2002, BERTONI, LOMBARDI NETO, 2014, KING et al, 2017, SILVA, MEDEIROS, 2017. Para compreender a dinâmica da evapotranspiração dentro do sistema água-solo-planta-atmosfera, vamos apresentar por meio de duas abordagens complementares: pela ótica hidrológica (balanço hídrico) e pela ótica térmica (fluxo de energia no solo).…”

Section: Energia No Solounclassified

“…A quantidade de umidade que uma área de terra perde por evapotranspiração depende principalmente da incidência da precipitação, em segundo lugar dos fatores climáticos de temperatura, umidade, vento etc. e, em terceiro lugar, do tipo, manejo e extensão da cultura (CHRISTOFOLETIS, 1999, KING et al, 2017. No período seco, quando as taxas de evapotranspiração excedem a umidade disponível da precipitação, a recarga para o lençol freático é menor ou insignificante e assim os níveis de água subterrânea diminuem (CHRISTOFOLETIS, 1999).…”

Section: Balanço Hídricounclassified

Sensoriamento Remoto Orbital Para Modelagem Da Evapotranspiração: Síntese Teórica E Aplicações Em Computação Na Nuvem

2021

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O objetivo desse artigo de revisão foi compilar os aspectos teóricos e tecnológicos da modelagem de evapotranspiração (ET) baseada em sensoriamento remoto. Levantamos os conceitos termohidrológicos que dão base ao fenômeno da ET, a saber, os fluxos de energia no solo ("termo") e balanço hidrológico. Também apresentamos as principais variantes do conceito de ET. Os modelos baseados em sensoriamento remoto são voltados à ET real. Levantamos os modelos aplicados a imagens de satélite mais difundidos (a serem implementados pelo pesquisador) e apresentamos suas premissas, limitações e oportunidades. Por fim, levantamos bases de dados de ET real já prontas (disponiveis no Google Earth Engine - GEE), e para elas desenvolvemos paineis interativos para extração desses dados. Com esses paineis é possível extrair facilmente séries temporais de ET real e realizar posteriores calibrações com dados de campos.

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“…Numerical models solving the Richards equation are often limited to small‐scale simulations (i.e., < 100 m 2 ) and to one‐dimensional (1D) flow in the shallow unsaturated zone (Scanlon et al., 2002), whereas other types of models may be used to assess the spatial and temporal variability of groundwater recharge at larger scales if the main hydrological variables, water table level and discharge, are known with sufficient accuracy (Scanlon et al., 2002). Commonly, large‐scale models (i.e., watershed, aquifer, or regional scale) rely on a spatial representation within a GIS platform, which is used to generate the various spatial inputs to the model (e.g., land cover, slope, and soil type), and then on water balance calculations to create the temporal dimension of recharge (Croteau, Nastev, & Lefebvre, 2010; Dripps & Bradbury, 2007; Jyrkama& Sykes, 2007; King, Raiber, Cox, & Cendón, 2017; Melo & Wendland, 2017; Sophocleous, 2000; Westenbroeck, Kelson, Dripps, Hunt, & Bradbury, 2009). To be calibrated, even the simplest model requires at least sufficiently long‐term discharge monitoring (e.g., GR [Génie Rural] models; Perrin, Michel, & Andréassian, 2003).…”

Section: Introductionmentioning

confidence: 99%

Pore water isotope fingerprints to understand the spatiotemporal groundwater recharge variability in ungauged watersheds

Mattei

Barbecot

Goblet

et al. 2020

Vadose Zone Journal

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Reliable groundwater recharge quantification at the regional scale (e.g., watershed or subwatershed) is fundamental to sustainable water resource management. Although modeling at the watershed scale is gaining wide support, the long-term monitoring needed for model calibration is often not readily available, as many watersheds worldwide remain ungauged. In response to this situation, we propose a new approach to estimate groundwater recharge at the watershed scale. This approach is fast and accurate and takes into account the existing variability without requiring long-term monitoring. Only a single field campaign to acquire soil water content and pore water isotopic composition depth profiles is needed. The principle is to extend a physically based, one-dimensional unsaturated zone flow model from the local (i.e., profile) to the watershed scale, using an index method for distributed recharge based on a GIS. The methodology was validated in a gauged watershed, where previous studies have estimated recharge using a spatialized water balance model calibrated using long-term discharge monitoring data. Scaling was investigated by comparing recharge values obtained using the local-scale approach at 10 study sites within the watershed with coinciding values obtained at the watershed scale. Recharge values were similar in terms of both dynamics and quantity. Using the pore water isotopic fingerprint of ungauged watersheds is therefore confirmed to be a suitable approach for understanding spatiotemporal recharge variability.

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Comparison of groundwater recharge estimation techniques in an alluvial aquifer system with an intermittent/ephemeral stream (Queensland, Australia)

Cited by 24 publications

References 46 publications

Insights From a Multi‐Method Recharge Estimation Comparison Study

Insights From a Multi‐Method Recharge Estimation Comparison Study

Sensoriamento Remoto Orbital Para Modelagem Da Evapotranspiração: Síntese Teórica E Aplicações Em Computação Na Nuvem

Pore water isotope fingerprints to understand the spatiotemporal groundwater recharge variability in ungauged watersheds

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