"Climate Change Impact Analysis using HydroGeoSphere" - Aquanty Webinar

"Climate Change Impact Analysis using HydroGeoSphere" - Aquanty Webinar

As the relevant components of the global climate (e.g. temperature and precipitation patterns/intensity) drift further from historically reliable patterns, it becomes harder and harder to rely on these historical patterns as part of hydrologic studies. This is why HydroGeoSphere is an incredibly powerful tool for long-term climate change impact analyses of hydrologic systems.

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HGS RESEARCH HIGHLIGHT – Impacts of Climate Change and Different Crop Rotation Scenarios on Groundwater Nitrate Concentrations in a Sandy Aquifer

HGS RESEARCH HIGHLIGHT – Impacts of Climate Change and Different Crop Rotation Scenarios on Groundwater Nitrate Concentrations in a Sandy Aquifer

This study by researchers at the University of Guelph investigated the impacts of various crop rotation scenarios and climate change on groundwater nitrate concentrations in a 155 sq-km agricultural sub-watershed in Norfolk County, Ontario.  

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HGS RESEARCH HIGHLIGHT – Evaluating Climate Change Impacts on Soil Moisture and Groundwater Resources Within a Lake-Affected Region

HGS RESEARCH HIGHLIGHT – Evaluating Climate Change Impacts on Soil Moisture and Groundwater Resources Within a Lake-Affected Region

This study investigates how climate change could impact groundwater and soil moisture within the Great Lakes Basin (GLB). Groundwater is a resource that is relied on for agriculture, industry, municipalities, and drinking water. Approximately one-quarter of the 33 million inhabitants of the GLB depend on groundwater as their primary freshwater source. Given its extreme value as a natural resource, the impacts of climate change on groundwater need to be well understood, and fully-integrated models that incorporate such large water bodies (let alone an entire basin-scale system) are rare.    

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HGS RESEARCH HIGHLIGHT – Fully integrated and physically-based approach for simulating water flows in a large-scale, heavily agricultural and low-instrumented watershed

HGS RESEARCH HIGHLIGHT – Fully integrated and physically-based approach for simulating water flows in a large-scale, heavily agricultural and low-instrumented watershed

This study is an excellent example of how a physics-based approach to simulating integrated hydrology with HydroGeoSphere allows researchers to overcome the limitations of data scarcity. Allowing water to flow naturally (or as ‘naturally’ as possible for a digital environment) also simplifies the calibration process, as a well conceptualized watershed scale model should be able to accurately represent the integrated hydrology of the watershed inherently.  

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Water Forecasting Platform Soon to be Launched for the Pembina River Valley

Water Forecasting Platform Soon to be Launched for the Pembina River Valley

Aquanty is proud to announce that we’re launching a new project in partnership with the Pembina Valley Watershed District (PVWD) and Manitoba Forage and Grassland Association (MFGA) to launch a new hydrologic forecasting platform for the Pembina River Valley.

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HGS RESEARCH HIGHLIGHT – Variably saturated dual-permeability flow modeling to assess distributed infiltration and vadose storage dynamics of a karst aquifer

HGS RESEARCH HIGHLIGHT – Variably saturated dual-permeability flow modeling to assess distributed infiltration and vadose storage dynamics of a karst aquifer

A new paper in the Journal of Hydrology provides a perfect case study of the dual continuum formulation supported by HydroGeoSphere. The dual continuum formulation in HydroGeoSphere involves two separate continua, with the first continuum represented by the porous medium. In this case, the 2nd continuum is used to represent the presence of large porosity features throughout a karstic aquifer - the Western Mountain Aquifer in Israel.

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HGS RESEARCH HIGHLIGHT – Evaluation of baseflow separation methods with real and synthetic streamflow data from a watershed

HGS RESEARCH HIGHLIGHT – Evaluation of baseflow separation methods with real and synthetic streamflow data from a watershed

Stream baseflow is inherently difficult to accurately estimate given the varied sources contributing to baseflow, it’s spatial variability, and the logistical difficulties in making physical baseflow measurements. Thanks to the fully integrated nature of HydroGeoSphere, and the fact that HGS was created with a strong emphasis on physics, HydroGeoSphere represents a very powerful tool for baseflow estimation, especially in lightly studies watersheds!

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HGS RESEARCH HIGHLIGHT – Sequential surface and subsurface flow modeling in a tropical aquifer under different rainfall scenarios

HGS RESEARCH HIGHLIGHT – Sequential surface and subsurface flow modeling in a tropical aquifer under different rainfall scenarios

This paper demonstrates how HGS is flexible enough to model specific regions/domains of interest (i.e. including discrete fracture networks, but without integrated surface hydrology) and can be used in conjunction with other hydrologic modelling platforms.

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HGS RESEARCH HIGHLIGHT – Upscaling Hydrological Processes for Land Surface Models with a Two-Hydrologic-Variable Model: Application to the Little Washita Watershed

HGS RESEARCH HIGHLIGHT – Upscaling Hydrological Processes for Land Surface Models with a Two-Hydrologic-Variable Model: Application to the Little Washita Watershed

The authors have used a 3D HydroGeoSphere model of a heavily studied sub-catchment (the Little Washita Watershed, Oklahoma) as a reference point to test the validity of much simpler modelling approaches. Results of the 3D HydroGeoSphere model are compared against a simpler 2D hillslope model, also constructed using HydroGeoSphere.

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HGS RESEARCH HIGHLIGHT – Predicting  Watershed Scale Surface Water Quality Targets With a Combined Fully-Integrated Groundwater-Surface Water Model and Machine Learning Approach

HGS RESEARCH HIGHLIGHT – Predicting Watershed Scale Surface Water Quality Targets With a Combined Fully-Integrated Groundwater-Surface Water Model and Machine Learning Approach

The poster highlights some very interesting research at the nexus of physics based integrated hydrologic modelling (using HydroGeoSphere) and machine learning/artificial intelligence techniques. Here the authors have paired an HGS model of the South Nation Watershed (SNW) with a Random Forest (RF) algorithm trained to predict spatially varying concentrations of nitrate and E. Coli throughout the watershed. For a completely novel approach toward large scale water quality prediction, the results were very encouraging!

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