GSFLOW - Coupled Ground-Water and Surface-Water Flow Model Based on the Integration of the Precipitation-Runoff Modeling System (PRMS) and the Modular Ground-Water Flow Model (MODFLOW-2005)

Markstrom, Steven L.; Niswonger, Richard G.; Regan, R. Steven; Prudic, David E.; Barlow, Paul M.

doi:10.3133/tm6d1

Cited by 310 publications

(252 citation statements)

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“…However, this approach is mechanistically invalid if there are times or places where topographically delineated contributing areas do not match the true subsurface contributing areas to streamflow, such as those hypothesized in Figure 8. The recent advent of distributed watershed models with more sophisticated groundwater flow simulation [e.g., Markstrom et al , 2008; Kollet et al , 2010] are capable of accounting for the lack of agreement between topographic slope and subsurface flow direction. The presented data would be a rigorous challenge to the structure of a distributed watershed model of TCEF, thus providing a mechanism to bridge the gap between the experience of the field experimentalist and watershed modeler [ Seibert and McDonnell , 2002].…”

Section: Discussionmentioning

confidence: 99%

Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession

Payn¹,

Gooseff²,

McGlynn³

et al. 2012

Water Resources Research

108

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[1] Relating watershed structure to streamflow generation is a primary focus of hydrology. However, comparisons of longitudinal variability in stream discharge with adjacent valley structure have been rare, resulting in poor understanding of the distribution of the hydrologic mechanisms that cause variability in streamflow generation along valleys. This study explores detailed surveys of stream base flow across a gauged, 23 km 2 mountain watershed. Research objectives were (1) to relate spatial variability in base flow to fundamental elements of watershed structure, primarily topographic contributing area, and (2) to assess temporal changes in the spatial patterns of those relationships during a seasonal base flow recession. We analyzed spatiotemporal variability in base flow using (1) summer hydrographs at the study watershed outlet and 5 subwatershed outlets and (2) longitudinal series of discharge measurements every $100 m along the streams of the 3 largest subwatersheds (1200 to 2600 m in valley length), repeated 2 to 3 times during base flow recession. Reaches within valley segments of 300 to 1200 m in length tended to demonstrate similar streamflow generation characteristics. Locations of transitions between these segments were consistent throughout the recession, and tended to be collocated with abrupt longitudinal transitions in valley slope or hillslope-riparian characteristics. Both within and among subwatersheds, correlation between the spatial distributions of streamflow and topographic contributing area decreased during the recession, suggesting a general decrease in the influence of topography on stream base flow contributions. As topographic controls on base flow evidently decreased, multiple aspects of subsurface structure were likely to have gained influence.

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Section: Discussionmentioning

confidence: 99%

Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession

Payn¹,

Gooseff²,

McGlynn³

et al. 2012

Water Resources Research

108

View full text Add to dashboard Cite

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“…GSFLOW is a typical integrated SW‐GW model developed by USGS, which couples the 2‐D surface hydrology model PRMS with the 3‐D groundwater flow model MODFLOW [ Markstrom et al ., ]. In GSFLOW, between the soil zone and saturated zone, a vadose zone is conceptualized and handled by the Unsaturated Zone Flow package (UZF1).…”

Section: Methodsmentioning

confidence: 99%

“…Integrated SW‐GW modeling can fuse theoretical knowledge with field observations, and provide a spatially and temporally detailed description of the hydrological cycle in a large basin [ Wu et al ., ]. A number of integrated SW‐GW models have been developed, such as Hydrogeosphere [ Brunner and Simmons , ], MIKE‐SHE [ Graham and Refsgaard , ], MODHMS [ Panday and Huyakorn , ], ParFlow [ Kollet and Maxwell , ], CATHY [ Weill et al ., ], PAWS+CLM [ Shen et al ., ], GEOtop [ Rigon et al ., ], and GSFLOW [ Doherty and Hunt , ; Markstrom et al ., ; Surfleet and Tullos , ; Tian et al ., ]. The integrated models have been used to address a variety of water and environmental issues, such as impact of climate change [ Surfleet and Tullos , ], water quality [ Fonseca et al ., ; Wilby et al ., ], and basin‐scale water resources management [ Hassanzadeh et al ., ; Mazzega et al ., ].…”

Section: Introductionmentioning

confidence: 99%

Optimizing water resources management in large river basins with integrated surface water‐groundwater modeling: A surrogate‐based approach

Zheng

et al. 2015

Water Resources Research

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Integrated surface water-groundwater modeling can provide a comprehensive and coherent understanding on basin-scale water cycle, but its high computational cost has impeded its application in real-world management. This study developed a new surrogate-based approach, SOIM (Surrogate-based Optimization for Integrated surface water-groundwater Modeling), to incorporate the integrated modeling into water management optimization. Its applicability and advantages were evaluated and validated through an optimization research on the conjunctive use of surface water (SW) and groundwater (GW) for irrigation in a semiarid region in northwest China. GSFLOW, an integrated SW-GW model developed by USGS, was employed. The study results show that, due to the strong and complicated SW-GW interactions, basin-scale water saving could be achieved by spatially optimizing the ratios of groundwater use in different irrigation districts. The water-saving potential essentially stems from the reduction of nonbeneficial evapotranspiration from the aqueduct system and shallow groundwater, and its magnitude largely depends on both water management schemes and hydrological conditions. Important implications for water resources management in general include: first, environmental flow regulation needs to take into account interannual variation of hydrological conditions, as well as spatial complexity of SW-GW interactions; and second, to resolve water use conflicts between upper stream and lower stream, a system approach is highly desired to reflect ecological, economic, and social concerns in water management decisions. Overall, this study highlights that surrogate-based approaches like SOIM represent a promising solution to filling the gap between complex environmental modeling and real-world management decision-making.

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“…For instance, Smith () and Charbeneau () have proposed a kinematic‐wave approximation to RRE that assumes capillary pressure gradients are negligible, and the resultant equation that describes the soil water flow driven by gravity is solved by the method of characteristics:

{(\frac{\partial z}{\partial t})}_{θ} = \frac{\partial K ((), θ)}{\partial θ}

where ∂ z /∂ t is the characteristic velocity is restricted to the downward direction since the pressure gradient is ignored. This approximation has been adopted in some large‐scale hydrological models, such as MIKE SHE (DHI, ) and GSFLOW (Markstrom, Niswonger, Regan, Prudic, & Barlow, ). However, neglecting capillary pressure gradient is an obvious oversimplification if the groundwater table is shallow or the soil moisture profile is nonuniform.…”

Section: Limitations Challenges and Opportunitiesmentioning

confidence: 99%

Review of numerical solution of Richardson–Richards equation for variably saturated flow in soils

et al. 2019

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Modeling variably saturated flow in the vadose zone is of vital importance to many scientific fields and engineering applications. Richardson-Richards equation (RRE, which is conventionally known as Richards' equation) is often chosen to physically represent the fluxes in the vadose zone when the accurate characterization of the soil water dynamics is required. Being a highly nonlinear partial differential equation, RRE is often solved numerically. Although there are mature software and codes available for simulating variably saturated flow by solving RRE, the numerical solution of RRE is nevertheless computationally expensive.Moreover, sometimes the robustness and the efficiency of RRE-based models can deteriorate rapidly when certain unfavorable conditions are met. These demerits of RRE hinder its application on large-scale vadose zone hydrology problems and uncertainty quantification, both of which requires many runs of the prediction model. To address these challenges, the accuracy, convergence, and efficiency of the numerical schemes of RRE should be further improved by testing a wide variety of cases covering different initial conditions, boundary conditions, and soil types. We reviewed and highlighted several critical issues related to the numerical modeling of RRE, including spatial and temporal discretization, the different forms of RREs, iterative and noniterative schemes, benchmark solutions, and available software and codes. Based on the review, we summarize the challenges and future work for solving RRE numerically.

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GSFLOW - Coupled Ground-Water and Surface-Water Flow Model Based on the Integration of the Precipitation-Runoff Modeling System (PRMS) and the Modular Ground-Water Flow Model (MODFLOW-2005)

Cited by 310 publications

References 0 publications

Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession

Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession

Optimizing water resources management in large river basins with integrated surface water‐groundwater modeling: A surrogate‐based approach

Review of numerical solution of Richardson–Richards equation for variably saturated flow in soils

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