2012
DOI: 10.3133/sir20125062
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Groundwater simulation and management models for the upper Klamath Basin, Oregon and California

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Cited by 20 publications
(21 citation statements)
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“…This was performed to facilitate linking of existing models, such as regional‐scale groundwater models (e.g. Rumman and Payne, ; Christenson et al ., ; Paschke, ; Gannett et al ., ; Mashburn et al ., ). Beyond the overlap area, the original functionality of each model is retained.…”
Section: Methodsmentioning
confidence: 99%
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“…This was performed to facilitate linking of existing models, such as regional‐scale groundwater models (e.g. Rumman and Payne, ; Christenson et al ., ; Paschke, ; Gannett et al ., ; Mashburn et al ., ). Beyond the overlap area, the original functionality of each model is retained.…”
Section: Methodsmentioning
confidence: 99%
“…Available published watershed‐scale hydrologic models include TOPography‐based hydrological model (TOPMODEL) (Beven et al ., ), MODFLOW‐based Hydrologic Modeling System (MODHMS) (Panday and Huyakorn, ); the Systeme Hydrologique Europeen model (SHE/MIKE‐SHE) (Butts and Graham, ), the Integrated Hydrology Model (VanderKwaak, ; Loague et al ., ), the Catchment Hydrology model (Camporese et al ., ), Parallel groundwater Flow (ParFlow) (Kollet and Maxwell, ), GSFLOW (Markstrom et al ., ), and SWAT (Neitsch et al ., ). As calibrated SWAT and MODFLOW models are available for the region (Gannett et al ., ; Records et al ., ) which simulate surface hydrology and groundwater hydrology, respectively, this study coupled the two models to integrate surface and subsurface hydrological processes. Furthermore, future efforts will employ the coupled model to assess nutrient pollution (Records et al ., ) in the land surface/subsurface/stream system of the watershed, and from the afore‐mentioned watershed‐scale hydrologic models only SWAT simulates nutrient fate and transport.…”
Section: Methodsmentioning
confidence: 99%
“…The benefits and the problems that are associated with these assumptions when evaluating model predictive uncertainty and data worth were discussed and compared to the nonlinear and more robust but computationally much more demanding Markov chain Monte Carlo method by Gallagher and Doherty (). Sensitivity analyses (see Hill & Tiedeman, ; Gannett et al, ; Masbruch et al, ; Rasa et al, ), influence statistics (see Hill & Tiedeman, ; La Vigna et al, ), and singular‐value‐decomposition‐based principal component analysis (see Doherty, ; Doherty & Hunt, ; Schilling et al, ) provide additional computationally efficient means to estimate the information content of specific observations or observation types. All these methods are based on the sensitivity matrices calculated with automated flow model calibration routines that are based on weighted multivariate objective functions.…”
Section: Tutorial: Automated Flow Model Calibration and Data Worth Anmentioning
confidence: 99%
“…Applying automated inversion, Gannett et al () used a weighted multivariate objective function to simultaneously calibrate a regional IFM against observations of H and Q GW to streams. Weights of the two different observation types were adjusted so that each observation type had a similar total weight in the multivariate objective function.…”
Section: Review Of the Use Of Unconventional Observation Typesmentioning
confidence: 99%
“…and Harbaugh, A.W., 2004;Ahlfeld et al, 2005, Gannett et al, 2012, *Corresponding author: duckiangel@ekr.or.kr 정찬덕·송인성 수문지질학적 특성을 분석한 지하수관리시스템 개발 모 델링에 관한 연구 (Kim and Lee, 1999;Sloto, R.A. and Buxton, D.E., 2005;Jeong et al, 2011), GIS 기반의 지하수오염취약성 분석을 위한 관리시스템 구 현에 관한 연구 (Chon and Ahn, 1998;Lee and Lee, 2003;Lee, 2003;Lee, 2005), 그리고 지하수관 리 의사결정모형 개발에 관한 연구 (Lee, 2001;Son et al, 2002;Lee et al, 2002;Han et al, 2000;Seo et al, 2005;Lee and Lee, 2011 Table 3).…”
Section: 서 론unclassified