GSFLOW-GRASS v1.0.0: GIS-enabled hydrologic modeling of coupled groundwater–surface-water systems

Abstract. Water flow through catchments sustains ecosystems and human activity, shapes landscapes, and links climate to the outermost layers of the solid Earth. The profound importance of water moving between the atmosphere and aquifers has led to efforts to develop and maintain coupled models of surface water and groundwater. However, developing inputs to these models is usually time-consuming and requires extensive knowledge of software engineering, often prohibiting their use by many researchers and water managers, and thus reducing these models' potential to promote science-driven decision-making in an era of global change and increasing water-resource stress. In response to this need, we have developed GSFLOW-GRASS, a straightforward set of open-source tools that develops inputs for and runs GSFLOW, the U.S. Geological Survey's coupled groundwater-surface-water flow model. As inputs, GSFLOW-GRASS requires at a minimum a digital elevation model, a precipitation and temperature record, and estimates of channel parameters and hydraulic conductivity. GSFLOW-GRASS is written in Python as a set of (1) GRASS GIS extensions, (2) input-file-builder scripts, and (3) visualization scripts. We developed a set of custom GRASS GIS commands that generate "hydrologic response units" for surface water, discretized topologically as sub-basins of the tributary network; build the MODFLOW grid; and add necessary attributes to each of these geospatial units. These GIS outputs are interpreted by a second set of Python scripts, which link them to hydrologic variables, build inputs to GSFLOW, and run GSFLOW. Lastly, GSFLOW output files are used to produce figures and time-lapse movies of simulation results using a third set of post-processing Python scripts. We demonstrate the broad applicability of these tools to diverse settings through examples based on: the high Peruvian Andes, the Channel Islands of California, and the formerly-glaciated Upper Mississippi valley in Minnesota.

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GSFLOW–GRASS v1.0.0: GIS-enabled hydrologic modeling of coupled groundwater–surface-water systems

Geoscientific Model Development ◽

10.5194/gmd-11-4755-2018 ◽

2018 ◽

Vol 11 (12) ◽

pp. 4755-4777 ◽

Cited By ~ 7

Author(s):

G.-H. Crystal Ng ◽

Andrew D. Wickert ◽

Lauren D. Somers ◽

Leila Saberi ◽

Collin Cronkite-Ratcliff ◽

...

Keyword(s):

Surface Water ◽

Water Flow ◽

Water Resource ◽

Temperature Record ◽

Coupled Models ◽

Diverse Range ◽

Surface Water Flow ◽

Resource Stress ◽

Digital Elevation ◽

Elevation Model

Abstract. The importance of water moving between the atmosphere and aquifers has led to efforts to develop and maintain coupled models of surface water and groundwater. However, developing inputs to these models is usually time-consuming and requires extensive knowledge of software engineering, often prohibiting their use by many researchers and water managers, thus reducing these models' potential to promote science-driven decision-making in an era of global change and increasing water resource stress. In response to this need, we have developed GSFLOW–GRASS, a bundled set of open-source tools that develops inputs for, executes, and graphically displays the results of GSFLOW, the U.S. Geological Survey's coupled groundwater and surface-water flow model. In order to create a robust tool that can be widely implemented over diverse hydro(geo)logic settings, we built a series of GRASS GIS extensions that automatically discretizes a topological surface-water flow network that is linked with an underlying gridded groundwater domain. As inputs, GSFLOW–GRASS requires at a minimum a digital elevation model, a precipitation and temperature record, and estimates of channel parameters and hydraulic conductivity. We demonstrate the broad applicability of the toolbox by successfully testing it in environments with varying degrees of drainage integration, landscape relief, and grid resolution, as well as the presence of irregular coastal boundaries. These examples also show how GSFLOW–GRASS can be implemented to examine the role of groundwater–surface-water interactions in a diverse range of water resource and land management applications.

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The end of the Paleogene – A new surface-water temperature record for the Oligocene-Miocene Transition from the western Atlantic (IODP Site U1405)

Rendiconti online della Società Geologica Italiana ◽

10.3301/rol.2014.32 ◽

2014 ◽

Vol 31 ◽

pp. 35-35

Author(s):

André Bornemann

Keyword(s):

Surface Water ◽

Water Temperature ◽

Temperature Record ◽

Surface Water Temperature ◽

Western Atlantic

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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)

Techniques and Methods ◽

10.3133/tm6d1 ◽

2008 ◽

Cited By ~ 103

Author(s):

Steven L. Markstrom ◽

Richard G. Niswonger ◽

R. Steven Regan ◽

David E. Prudic ◽

Paul M. Barlow

Keyword(s):

Surface Water ◽

Ground Water ◽

Water Flow ◽

Flow Model ◽

Ground Water Flow ◽

Model Based ◽

Surface Water Flow ◽

Runoff Modeling

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Comparison of surface water flow simulation over structured and unstructured grids

Spatial Information Research ◽

10.1007/s41324-021-00413-6 ◽

2021 ◽

Author(s):

Nivedhitha Ajithkumar ◽

Prabhakar Alok Verma ◽

Frank B. Osei ◽

Hari Shankar

Keyword(s):

Surface Water ◽

Water Flow ◽

Unstructured Grids ◽

Flow Simulation ◽

Surface Water Flow

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Validation of the STRIVE model for coupling ecological processes and surface water flow

Journal of Hydroinformatics ◽

10.2166/hydro.2010.067 ◽

2010 ◽

Vol 13 (4) ◽

pp. 741-759

Author(s):

L. De Doncker ◽

P. Troch ◽

R. Verhoeven ◽

K. Buis ◽

P. Meire

Keyword(s):

Water Quality ◽

Surface Water ◽

Water Flow ◽

Research Question ◽

Quality Parameters ◽

Water Levels ◽

Ecological Processes ◽

Vegetation Growth ◽

Surface Water Flow ◽

Quality Aspects

The 1D model package STRIVE is verified for simulating the interaction between ecological processes and surface water flow. The model is general and can be adapted and further developed according to the research question. The hydraulic module, based on the Saint-Venant equations, is the core part. The presence of macrophytes influences the water quality and the discharge due to the flow resistance of the river, expressed by Manning's coefficient, and allows an ecological description of the river processes. Based on the advection–dispersion equation, water quality parameters are incorporated and modelled. Calculation of the water quantity parameters, coupled with water quality and inherent validation and sensitivity analysis, is the main goal of this research. An important study area is the River Aa near Poederlee (Belgium), a lowland river with a wealth of vegetation growth, where discharge and vegetation measurements are carried out on a regular basis. The developed STRIVE model shows good and accurate calculation results. The work highlights the possibility of STRIVE to model flow processes, water quality aspects and ecological interaction combined and separately. Coupling of discharges, water levels, amount of biomass and tracer values provides a powerful prediction modelling tool for the ecological behaviour of lowland rivers.

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Insight into the influence of local streambed heterogeneity on hyporheic-zone flow characteristics

Hydrogeology Journal ◽

10.1007/s10040-020-02244-5 ◽

2020 ◽

Vol 28 (8) ◽

pp. 2697-2712

Author(s):

Robert Earon ◽

Joakim Riml ◽

Liwen Wu ◽

Bo Olofsson

Keyword(s):

Surface Water ◽

Hydraulic Conductivity ◽

Penetration Depth ◽

Hyporheic Zone ◽

Flow Characteristics ◽

Time Lapse ◽

Hyporheic Exchange ◽

Tracer Injection ◽

Hyporheic Flow ◽

Exchange Processes

AbstractInteraction between surface water and groundwater plays a fundamental role in influencing aquatic chemistry, where hyporheic exchange processes, distribution of flow paths and residence times within the hyporheic zone will influence the transport of mass and energy in the surface-water/groundwater system. Geomorphological conditions greatly influence hyporheic exchange, and heterogeneities such as rocks and clay lenses will be a key factor for delineating the hyporheic zone. Electrical resistivity tomography (ERT) and ground-penetrating radar (GPR) were used to investigate the streambed along a 6.3-m-long reach in order to characterise geological layering and distinct features which may influence parameters such as hydraulic conductivity. Time-lapse ERT measurements taken during a tracer injection demonstrated that geological features at the meter-scale played a determining role for the hyporheic flow field. The penetration depth of the tracer into the streambed sediment displayed a variable spatial pattern in areas where the presence of highly resistive anomalies was detected. In areas with more homogeneous sediments, the penetration depth was much more uniformly distributed than observed in more heterogeneous sections, demonstrating that ERT can play a vital role in identifying critical hydraulic features that may influence hyporheic exchange processes. Reciprocal ERT measurements linked variability and thus uncertainty in the modelled resistivity to the spatial locations, which also demonstrated larger variability in the tracer penetration depth, likely due to local heterogeneity in the hydraulic conductivity field.

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Flow and Radionuclide Transport From Rock to Surface Systems: Characterization and Modelling of Potential Repository Sites in Sweden

11th International Conference on Environmental Remediation and Radioactive Waste Management, Parts A and B ◽

10.1115/icem2007-7300 ◽

2007 ◽

Cited By ~ 1

Author(s):

Kent Werner ◽

Emma Bosson ◽

Sten Berglund

Keyword(s):

Surface Water ◽

Groundwater Flow ◽

Water Flow ◽

Exit Point ◽

Flow Paths ◽

Near Surface ◽

Mike She ◽

Mike 11 ◽

Surface Water Flow ◽

Safety Assessments

The safety assessments of potential geological repositories for spent nuclear fuel in Sweden are supported by modelling of groundwater flow in rock, to predict locations (exit points) where radionuclides from the deep repository may enter land, surface waters and associated ecosystems above the rock. This modelling includes detailed rock descriptions, but simplifies the upper part of the flow domain, including representations of meteorological processes and interactions with hydrological objects at the surface. Using the Laxemar candidate site as example, this paper investigates some potentially important consequences of these simplifications. Specifically, it compares particle tracking results obtained by a deep-rock groundwater flow model (CONNECTFLOW) and by MIKE SHE-MIKE 11, which contains detailed descriptions of near-surface/surface water flow. Overall, the models predict similar exit point patterns, occurring as clusters along streams in valleys, at a lake, and in sea bays. However, on a detailed level there are some prediction differences, which may be of importance for biosphere-focused safety assessments. CONNECTFLOW essentially predicts flow paths through the repository that follow fractures and deformation zones, outcropping in valleys. In comparison, MIKE SHE-MIKE 11 provides more detailed information on near-surface water flow paths, including the associated exit points and inputs to assessments of radionuclide retention.

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Impacts of hurricanes on surface water flow within a wetland

Journal of Hydrology ◽

10.1016/j.jhydrol.2010.08.004 ◽

2010 ◽

Vol 392 (3-4) ◽

pp. 164-173 ◽

Cited By ~ 8

Author(s):

Yang Deng ◽

Helena M. Solo-Gabriele ◽

Michael Laas ◽

Lynn Leonard ◽

Daniel L. Childers ◽

...

Keyword(s):

Surface Water ◽

Water Flow ◽

Surface Water Flow

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The Influence of Land Roughness to Irrigation Efficiency Based on SIRMOD Model of Border Irrigation of Wheat

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.955-959.3640 ◽

2014 ◽

Vol 955-959 ◽

pp. 3640-3644

Author(s):

He Xiang Zheng ◽

Xue Song Cao ◽

Jia Bin Wu ◽

Jian Cheng Zhang

Keyword(s):

Surface Roughness ◽

Surface Water ◽

Water Flow ◽

Water Movement ◽

Field Trials ◽

Measured Data ◽

Irrigation Efficiency ◽

Movement Process ◽

Surface Water Flow

Land roughness is an important parameter of border irrigation in the surface water flow movement, it affects of the water movement process and affects irrigation efficiency, so it’s necessary combined with field surface other parameters to study irrigation field roughness to the irrigation efficiency. Agreement is good between simulated by SIRMOD model and measured values through field trials the measured data of water flow advance and regression process, and indicating with SIRMOD model can simulate border irrigation process. Four kinds of typical field surface roughness of irrigation simulation by SIRMOD model and analysis of the results obtained: land roughness difference of water flow advance and regression process influence significantly, the water flow advance and regression process is better with the small land roughness, and the curve of water flow advance and regression becomes uneven, so irrigation efficiency significant reduction with the field surface roughness increases.

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