Statistical analysis of hydrographs and water-table fluctuation to estimate groundwater recharge

Moon, Sang Ki; Woo, Nam Chil; Lee, Kwang-Sik

doi:10.1016/j.jhydrol.2003.12.030

Cited by 180 publications

(83 citation statements)

References 15 publications

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“…To estimate the spatio-temporal distribution of shallow water-table depths in continental China, the calibrated parameters of TFN models are transferred to ungauged areas for the region within the same zones classified by PCA classification (Moon et al, 2004) and GMM clustering (Yuan et al, 2008a) methods.…”

Section: Regionalization Methodsmentioning

confidence: 99%

“…The SCE-UA method is an algorithm for automatic calibration of watershed models most widely used over the last 10 years (Shoemaker et al, 2007). The principal component analysis (PCA) classification (Moon et al, 2004) and GMM clustering schemes (Yuan et al, 2008a) are applied to classify continental China into several zones, and the calibrated parameters are regionalized to ungauged areas for the region within the same classified zones by interpolation methods using the elevation or terrain slope as the external drift. The sensitivity of the RTFN models for spatio-temporal prediction of shallow water-table depths based on the combination of the input series, regionalization method and external drift were investigated by cross-validation, and the best one used to predict the spatio-temporal distribution of shallow water-table depths in continental China.…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity of regionalized transfer-function noise models to the input and parameter transfer method / Sensibilité de modèles de type fonction de transfert bruit régionalisée (FTBR) aux données d'entrée et aux méthodes de transfert de paramètres

Yuan

Xie

Liang

2009

Hydrological Sciences Journal

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Monthly shallow water-table depths can be predicted from climate forcings on a large scale by the combination of a transfer-function noise (TFN) model with a parameter regionalization scheme. To investigate the sensitivity of regionalized transfer-function noise (RTFN) models, simulations with different input series and parameter regionalization methods, combined with topographic external drifts, are presented. The input series include the precipitation, precipitation surplus or infiltration calculated by the variable infiltration capacity (VIC) land surface model, and the regionalization methods include those based on a combination of the principal component analysis (PCA) classification or Gaussian mixture model (GMM) clustering, with the external drifts, such as the elevation or terrain slope, generated from digital elevation models (DEM). Verification and cross-validation show that the infiltration series reduces the errors for regionalization by 12.5-18.8%, but cannot improve the calibration. The PCA method outperforms its alternative GMM method for the input series and the external drifts. The combination of the infiltration series and the regionalization method based on PCA classification and elevation produces the best results with respect to the mean absolute error and root mean squared error. The spatial and temporal variations of water-table depths at a macro-scale in continental China are predicted by the combination.

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Section: Regionalization Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensitivity of regionalized transfer-function noise models to the input and parameter transfer method / Sensibilité de modèles de type fonction de transfert bruit régionalisée (FTBR) aux données d'entrée et aux méthodes de transfert de paramètres

Yuan

Xie

Liang

2009

Hydrological Sciences Journal

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“…In the water level fluctuation method for recharge estimation [10,13,16,[27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43], a rise in the water table, in response to a precipitation-induced recharge event, is converted to an amount of recharge by multiplying the magnitude of the rise by the aquifer's specific yield. The method is attractive because water table measurements are often available, and the method is relatively quick, simple, and easily implemented.…”

Section: Water Table Fluctuationsmentioning

confidence: 99%

“…There has been extensive research on recharge estimation at a variety of scales [2][3][4], including studies that assess spatial and temporal recharge variability [5][6][7][8][9][10][11][12][13][14][15][16]. Nevertheless, groundwater modelers, planners, and policy makers frequently use a single recharge value for an entire watershed calculated as an assumed fraction of the annual average precipitation or as determined by model calibration.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Field Assessment of Groundwater Recharge

W.R.¹

2012

TOHYDJ

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Groundwater recharge is often assumed to be uniform within a watershed owing to difficulties in quantifying its temporal and spatial variability. In this paper, fluctuations in soil moisture content at multiple depths in the unsaturated zone together with fluctuations in the water table are used to provide a record of the recharge process and a means to quantify and compare temporal and spatial recharge variability. Hourly measurements of soil moisture content and the elevation of the water table were collected at two sites, a clear cut and a coniferous forest site, within the Trout Lake basin of northern Wisconsin. The soil moisture and water table data were used together to assess the temporal and spatial variability in groundwater recharge from October 1999 to May 2001 and to identify the climatic (amount and timing of rainfall) and physical (vegetation and soil type) controls on the recharge process within this basin. Together, the two datasets allow for a holistic assessment of the recharge process from the ground surface through the unsaturated zone down to the water table.

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“…This necessitates the study of impacts of climate (Kobayashi & Salam, 2000;Ma et al, 2008), physical characteristics of catchments (Moon et al, 2004;Rushton et al, 2006;Cornejo et al, 2007) and human activities on hydrology and water resources management (Guo et al, 2004;Shukla & Jaber, 2007;Elliot & Glaza, 2007). Ma et al (2008) reported that effects of climate change on hydrology vary from one location to another and needed to be investigated using local climate change situations.…”

Section: Introductionmentioning

confidence: 99%

Modelling Interconnectedness of Subsurface Flow Processes from a Simple Conceptual Infiltration Model

Ewemoje¹,

Sangodoyin²

2010

West African Journal of Applied Ecology

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The study determined subsurface flow processes of 92.3 ha catchment area in order to examine functional relationship among the surface and subsurface flow variables from the water balance components data. Days without rainfall had zero infiltration while peak values of infiltrated water corresponded with peak rainfall. However, the Crawford and Linsley infiltration model was deficient by its inability to distinguish between days of zero rainfall and days when rainfall was less than 1.0 mm. Interflow occurred continuously even when there was no rainfall. This was shown to be responsible for the stream flows on dry days. Hence, total subsurface flows, a combination of interflow and groundwater flow, had the two components contributing to stream flow on days with rainfall. On days without rainfall, the interflow component was the only contributor to subsurface flows.

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Statistical analysis of hydrographs and water-table fluctuation to estimate groundwater recharge

Cited by 180 publications

References 15 publications

Sensitivity of regionalized transfer-function noise models to the input and parameter transfer method / Sensibilité de modèles de type fonction de transfert bruit régionalisée (FTBR) aux données d'entrée et aux méthodes de transfert de paramètres

Sensitivity of regionalized transfer-function noise models to the input and parameter transfer method / Sensibilité de modèles de type fonction de transfert bruit régionalisée (FTBR) aux données d'entrée et aux méthodes de transfert de paramètres

An Integrated Field Assessment of Groundwater Recharge

Modelling Interconnectedness of Subsurface Flow Processes from a Simple Conceptual Infiltration Model

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