Aquaveo

The GMS 11.0 beta is here! Discover powerful MODFLOW 6 upgrades, including forward particle tracking (PRT), expanded lake modeling with LAK tables, and improved mapping tools designed to streamline your groundwater modeling workflows. Explore these features today.
https://aquaveo.com/blog/post/whats-new-gms-11-beta

Public posts on social platforms are now serving a vital new purpose: forecasting environmental risks. Recent researchers with the University of Ilesa (uniilesa) and the Emerald Energy Institute, Uniport demonstrated how machine learning classifiers can analyze user-generated content from major social networks to evaluate and predict water pollution trends.
https://www.researchgate.net/profile/Olanrewaju-Omigbodun/publication/402090565_Digital_and_Data_Mining_Approaches_for_Evaluating_Water_Pollution/links/69b675f10df0500feff513c8/Digital-and-Data-Mining-Approaches-for-Evaluating-Water-Pollution.pdf

The Groundwater Modeling System (GMS) 11.0 Beta is now available. Explore new groundwater modeling tools, workflow improvements, and enhanced support for MODFLOW 6 and other groundwater models.

https://aquaveo.com/downloads-gms

Optimize your hydraulic modeling workflow with the Clean Shapes tools in the Surface-water Modeling System (SMS) 14.0. Learn how to simplify imported GIS data, refine curved geometry, and prune unnecessary features to construct accurate computational meshes and grids efficiently. Read the full guide to streamline your conceptual model preparation.
https://aquaveo.com/blog/post/simplify-prepare-complex-geometry

Accurate flood forecasting can mean the difference between timely evacuation and severe disaster. A new study by BYU College of Engineering, Tulane School of Science and Engineering, and University of Iowa Computer Science examines how integrating National Water Model flood inundation maps with multi-source data elevates early warning systems and strengthens community resilience.

Read more: https://onlinelibrary.wiley.com/doi/pdf/10.1111/1752-1688.70107

Streamline your conceptual modeling workflow with SMS 14.0. The new experimental Map module Undo/Redo feature allows modelers to easily reverse geometry edits and test complex spatial changes with confidence. Learn how to enable and optimize this capability in your modeling setup.

https://aquaveo.com/blog/post/unlock-sms-14-0-map-undo-features

Beneath our cities, aging sewer infrastructure is silently feeding multi-decadal groundwater contamination plumes. A study by researchers with the USP - Universidade de São Paulo and the University of Calgary demonstrates how coupled MODFLOW-MT3D modeling and strategic pumping can reverse nitrate pollution, offering a clear roadmap for urban water resilience.
https://link.springer.com/content/pdf/10.1007/s40899-026-01388-8.pdf

Optimize your 3D groundwater modeling workflows with Aquaveo's Groundwater Modeling System (GMS). Learn how to effectively integrate 3D scatter points, LiDAR, TINs, and borehole data to construct accurate hydrostratigraphic concepts and reliable subsurface models.

https://aquaveo.com/blog/post/advanced-groundwater-modeling-techniques-3d-data

Master coastal hydrodynamic modeling with Aquaveo's hands-on SMS training in Provo, UT. Learn top tools like ADCIRC, CMS-FLOW, and STWAVE to analyze tides, storm surge, and sediment transport.

Register today at Aquaveo to secure early pricing. https://aquaveo.com/sms-coastal-training

As water levels recede, the Dead Sea shoreline is spawning unique, dynamic aquatic habitats. A recent study The University of Jordan - الجامعة الأردنية uses metabarcoding analysis to uncover highly adaptive microbial communities and significant seasonal biodiversity shifts driven by extreme hydro-chemical conditions.

https://www.nature.com/articles/s41598-026-67236-z