Computational Solutions for Water Resources
Our comprehensive experience in hydrologic & hydraulic modeling, Geographic Information System (GIS) algorithms, and software development will bring new insights to the fields.
Hydrologic & Hydraulic Modeling
GIS Algorithms
Ongoing Projects
USDA Resilient Agricultural Water Community Systems (RAWCS)
- Water systems modeling for agricultural communities in the Western US using SWAT+MODFLOW
USGS Transboundary Aquifer Assessment Program (TAAP)
- Transboundary groundwater modeling for Southern New Mexico and Northern Mexico using ParFlow-CLM and global datasets
NMED NMPWRC Fate and Transport Modeling
- 1D fate and transport modeling of treated produced water in New Mexico using the open-source version of HYDRUS-1D
- Deterministic and probabilistic approaches
- Development of a user-friendly modeling framework
NSF Dynamics of Integrated Socio-Environmental Systems (DISES) (NMSU, etc.)
- Water and Community Resilience Through Spatial Integration of Ecohydrological Processes and Traditional Sociocultural Knowledge
- Water Availability Analysis Using SWAT
NSF Pathways to Enable Open-Source Ecosystems (POSE) (NCSU, NMSU, ASU, Yale)
- Phase II: Growing GRASS OSE for Worldwide Access to Multidisciplinary Geospatial Analytics
Past Projects
NMDOT Culvert Asset Management Program (CAMP) (Cortes, Cho)
- Statewide Culvert Capacity Analysis
- Development of an Early Flood Warning Framework
DOE NETL PARETO (Cho, EnergyMakers Advisory Group)
- Leveraging PARETO for Rare Earth Element/Critical Mineral (REE/CM) Recovery from Produced Water and Seismicity Response Optimization
-
Elected as an OSGeo Charter Member
I have been elected as an OSGeo Charter Member. OSGeo Charter Members serve as the formal voting body of the Open Source Geospatial Foundation (OSGeo) and help guide the direction of major open-source geospatial projects…
-
Fall 2025 PhD student position in surface water and groundwater interaction modeling
We invite applications for a funded PhD student position focused on surface water and…
-
Call for papers: Advances in Hydroinformatics for Water Data Management and Analysis, Volume II
Drs. Dan Ames, Gustavious Williams, Xiaohui Qiao, and I are running a Special Issue…
-
Call for papers: Big Data and Machine Learning in Hydrology: Recent Advances and Trends
I call for papers for a Special Issue of the Hydrology journal “Big Data…
-
Gave an AI talk to the NMSU Engineering Advisory Council
I presented AI for Large-Scale Hydrologic Modeling at the NMSU Engineering Advisory Council Meeting.…
-
Abdullah published three GRASS addons
Abdullah Azzam has published three GRASS addons for hydrologic analysis: r.curvenumber, r.runoff, and r.timeofconcentration.
“All models are wrong.”
George Box
A British Statistician