2007
DOI: 10.1007/s00254-007-1125-8
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Numerical simulation of groundwater flow for a coastal plain in Japan: data collection and model calibration

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Cited by 37 publications
(13 citation statements)
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“…These studies have been generously cited in the literature (e.g., Ophori 1998Ophori , 1999Lutz et al 2007;He et al 2008). The validity of several of these models has undergone critical review in the past (e.g., Konikow and Bredehoeft 1992;Jackson 1992).…”
Section: Introductionmentioning
confidence: 98%
“…These studies have been generously cited in the literature (e.g., Ophori 1998Ophori , 1999Lutz et al 2007;He et al 2008). The validity of several of these models has undergone critical review in the past (e.g., Konikow and Bredehoeft 1992;Jackson 1992).…”
Section: Introductionmentioning
confidence: 98%
“…Dynamic groundwater curve simulation is the most commonly used approach to justify groundwater models [12][13][14]. Sahoo et al [15] and Dokou et al [16] used mean absolute error (MAE), root mean squared error (RMSE), the correlation coefficient (R), and the normalized RMSE (NRMSE) between calculated and observed groundwater head to evaluate the performance of a groundwater flow model.…”
Section: Introductionmentioning
confidence: 99%
“…To calibrate a larger-scale groundwater model, fitting at local scale is not enough; overall scope fitting is also necessary. Groundwater flow-field fitting and a groundwater budget were used in various ways to calibrate regional models by He et al [12] and Gebreyohannes et al [20]. Apparently, more constraints must be used to advance the calibration and validation of numerical groundwater models.…”
Section: Introductionmentioning
confidence: 99%
“…Samplings were done monthly from October 2008-March 2009 which hydraulic heads and chloride concentrations data were collected from the well and boreholes. According to Anderson and Woessner (2002), in transient simulation six-ten months data are adequate to simulate and analyze case studies (as in this study) as such done by He et al (2008). On the other hand, one year data set is suitable for prediction using numerical groundwater model such as done by Lin et al (2008) in numerical simulation in Alabama Gulf Coast, USA.…”
Section: Introductionmentioning
confidence: 92%