HGS RESEARCH HIGHLIGHT - Natural and anthropogenic drivers of the water table dynamics in a riparian fen peatland

HGS RESEARCH HIGHLIGHT - Natural and anthropogenic drivers of the water table dynamics in a riparian fen peatland

This publication, co-authored by Adrien Renaud, Claude Mügler, Véronique Durand, and Marc Pessel, which examines the natural and anthropogenic drivers of water table dynamics in a riparian fen peatland along the Essonne River in France. This study leverages HydroGeoSphere (HGS) to couple surface and subsurface hydrology, providing new insights into how precipitation seasonality, vegetation activity, and river regulation influence peatland water levels.

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HGS RESEARCH HIGHLIGHT - Using water sources extent during inundation as a reliable predictor for vegetation zonation in a natural wetland floodplain

HGS RESEARCH HIGHLIGHT - Using water sources extent during inundation as a reliable predictor for vegetation zonation in a natural wetland floodplain

We’re pleased to highlight this publication, co-authored by Tomasz Berezowski and Martin Wassen, which investigates how the extent of water sources during inundation can be used as reliable predictors of vegetation zonation in wetland floodplains. This study leverages HydroGeoSphere (HGS) together with the Hydraulic Mixing-Cell (HMC) method to address long-standing challenges in modelling vegetation dynamics by explicitly accounting for the spatial distribution of different water sources during floods.

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HGS RESEARCH HIGHLIGHT - Groundwater flow and age in topography-driven groundwater flow systems with geological barriers

HGS RESEARCH HIGHLIGHT - Groundwater flow and age in topography-driven groundwater flow systems with geological barriers

The research examines how groundwater age and flow systems are influenced by topography and geological barriers, using numerical simulations to clarify the interaction between surface-driven flow and subsurface heterogeneity. Traditional models of topography-driven flow often assume homogeneous geologic conditions, which can obscure the role of stratigraphic variations in shaping groundwater movement and age distribution. This study offers a detailed exploration of how structural barriers— such as low-permeability formations— interrupt or redirect groundwater pathways and affect the spatial and temporal distribution of groundwater age.

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HGS RESEARCH HIGHLIGHT – External and internal drivers behind the formation, vegetation succession, and carbon balance of a subarctic fen margin

HGS RESEARCH HIGHLIGHT – External and internal drivers behind the formation, vegetation succession, and carbon balance of a subarctic fen margin

In this research publication, researchers investigated the formation, vegetation succession, and carbon balance of peatland margins in Finnish Lapland. This study leverages HydroGeoSphere (HGS) alongside paleoecological records and remote sensing to address long-standing challenges in understanding how new peatland areas initiate, expand, and influence climate through carbon cycling.

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Manitoba Forage and Grasslands Association wins Water Canada innovation award

Manitoba Forage and Grasslands Association wins Water Canada innovation award

We’re proud to share that the Manitoba Forage and Grassland Association (MFGA) has been awarded the 2025 Early Adopter/Innovation Partnership Award from Water Canada for its pioneering work with Aquanty on hydrologic modelling in Manitoba.

The award recognizes outstanding collaborations that advance Manitoba and Canada’s water sector through innovation and partnership. MFGA earned this recognition for its leadership in applying Aquanty’s HydroGeoSphere-based modelling platform to better understand and manage water resources across agricultural landscapes.

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HydroClimateSight Feature Highlight: Real-Time Soil Moisture Forecasting on Demand

HydroClimateSight Feature Highlight: Real-Time Soil Moisture Forecasting on Demand

At Aquanty, we're redefining how soil moisture forecasting is done in precision agriculture. Our latest innovation brings together real-time weather data, advanced hydrologic modelling, and cloud automation to deliver accurate, hyper-local soil moisture forecasts, on demand, at the click of a button. Built for farmers, consultants, researchers, and planners, this tool provides the insights needed to optimize irrigation, support crop health, and plan field operations with confidence.

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