Input data processing tools for the integrated hydrologic model GSFLOW

Gardner, Murphy; Morton, Charles; Huntington, Justin L.; Niswonger, Richard G.; Henson, Wesley R.

doi:10.1016/j.envsoft.2018.07.020

Cited by 35 publications

(38 citation statements)

References 19 publications

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“…Other key features of the toolkit include the use of all open-source software, enabling users anywhere to apply GSFLOW, and the implementation of 15 topologically based domain discretizations, which may afford computational advantages for certain applications. GSFLOW-GRASS complements a software package recently released by the USGS that uses ArcGIS tools to set up regular grid domains for GSFLOW (Gardner et al, 2017). Providing different model implementation options affords greater flexibility depending on a user's software preferences and data formats.…”

Section: Discussionmentioning

confidence: 99%

“…This follows both the natural discretization of the landscape and the architecture of PRMS, which was developed to support flow routing through sub-catchments . This approach is complementary to the grid-cell HRU approach of (Gardner et al, 2017).…”

Section: Grass Gis: Topography-derived Model Inputsmentioning

confidence: 99%

“…Based on our example tests in Section 4, adjusting hydraulic conductivity and infiltration is important for generating numerically convergent results and establishing reasonable initial conditions for transient simulations. Modules in the toolkit by Gardner et al (2017) generates climate forcing, soil type, and land cover inputs that can make use of national databases; for GSFLOW-GRASS, users provide their own inputs. The USGS's GIS Weasel tool (Viger and Leavesley, 2007) may be used for deriving PRMS 25 parameters from physical data sets such as STATSGO.…”

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confidence: 99%

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

Ng¹,

Wickert²,

Somers³

et al. 2018

Preprint

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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 5 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 groundwatersurface-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 10 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 15 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 . 1Geosci. Model Dev. Discuss., https://doi

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Section: Discussionmentioning

confidence: 99%

Section: Grass Gis: Topography-derived Model Inputsmentioning

confidence: 99%

mentioning

confidence: 99%

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

Ng¹,

Wickert²,

Somers³

et al. 2018

Preprint

Self Cite

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“…MODFLOW (Harbaugh, 2005;Niswonger et al, 2011) and PRMS (Leavesley et al, 1983;Markstrom et al, 2015) are popular models with significant user bases. GSFLOW has been previously applied to various watersheds in the US, for example in California (Essaid and Hill, 2014), Wisconsin (Hunt et al, 2013), Pennsylvania (Galeone et al, 2016), and Oregon (Surfleet and Tullos, 2013;Gannett et al, 2017), as well as to applications outside of the US (e.g., Hassan et al, 2014;Tian et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…The company Earthfx (http://www.earthfx.com/last access: 22 November 2018) provides full GSFLOW support as part of their VIEWLOG package designed for the environmental consulting industry. More openly accessible software endeavors have also improved the usability of integrated hydrologic models (Bhatt et al, 2014;Tian et al, 2016;Gardner et al, 2018), including the USGS's new input data-processing tool for GSFLOW (Gardner et al, 2018), but the community still lacks a free and complete package spanning preprocessing to post-processing for heterogeneous surface and subsurface domains. This gap motivates our present work, which we anticipate will enable more widespread hydrologic modeling.…”

Section: Introductionmentioning

confidence: 99%

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

Wickert

Somers

et al. 2018

Geosci. Model Dev.

Self Cite

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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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Vulnerability of water resources under a changing climate and human activity in the lower Great Lakes region

Soonthornrangsan

Lowry

2021

Hydrological Processes

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Globally, the number of people experiencing water stress is expected to increase by millions by the end of the century. The Great Lakes region, representing 20% of the world's surface freshwater, is not immune to stresses on water supply due to uncertainties on the impacts of climate and land use change. It is imperative for researchers and policy makers to assess the changing state of water resources, even if the region is water rich. This research developed the integrated surface water-groundwater GSFLOW model and investigated the effects of climate change and anthropogenic activities on water resources in the lower Great Lakes region of Western New York.To capture a range of scenarios, two climate emission pathways and three land development projections were used, specifically RCP 4.5, RCP 8.5, increased urbanization by 50%, decreased urbanization by 50%, and current land cover, respectively. Model outputs of surface water and groundwater discharge into the Great Lakes and groundwater storage for mid-and late century were compared to historical to determine the direction and amplitude of changes. Both surface water and groundwater systems show no statistically significant changes under RCP 4.5 but substantial and worrisome losses with RCP 8.5 by mid-century and end of century. Under RCP 8.5, streamflow decreased by 22% for mid-century and 42% for late century. Adjusting impervious surfaces revealed complex land use effects, resulting in spatially varying groundwater head fluctuations. For instance, increasing impervious surfaces lowered groundwater levels from 0.5 to 3.8 m under Buffalo, the largest city in the model domain, due to reduced recharge in surrounding suburban areas. Ultimately, results of this study highlight the necessity of integrated modelling in assessing temporal changes to water resources. This research has implications for other water-rich areas, which may not be immune to effects of climate change and human activities. K E Y W O R D S climate change, Great Lakes region, western new york, groundwater storage, GSFLOW, integrated hydrological modelling, land use, surface water-groundwater model, water resources 1 | INTRODUCTION Water scarcity is a progressively prevalent and global issue that will be exacerbated by future climate change and human activities. Gosling and Arnell (2013) anticipated an increase of 0.5-4.7 billion people to experience water scarcity based on climate scenarios from 21 global climate models. Superimposed on a changing climate, human activities through land use and land cover change can worsen water

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Input data processing tools for the integrated hydrologic model GSFLOW

Cited by 35 publications

References 19 publications

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

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

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

Vulnerability of water resources under a changing climate and human activity in the lower Great Lakes region

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