Zeinab Abu Romman, PhD, GISP
Computational Hydrologist & Environmental Engineer
Surface–Groundwater Modelling
Flow Estimation & Forecasting
GIS & Data Automation
Zeinab Abu Romman, PhD, GISP
Computational Hydrologist & Environmental Engineer
Surface–Groundwater Modelling | Flow Estimation & Forecasting | GIS & Data Automation
Welcome to my portfolio
I am a computational hydrologist and environmental engineer specializing in surface–groundwater modelling, hydrologic forecasting, GIS, and automation. My work focuses on integrating hydrogeologic science, geospatial data, and numerical modelling to support climate-resilient water-resource management.
I build science-based workflows that connect groundwater, surface water, geology, and climate data into defensible hydrologic models and operational decision-support tools. My projects span:
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Surface-Groundwater Interaction & Numerical Modelling
MODFLOW, FEFLOW, GMS, WMS, HEC-HMS, HEC-RAS, recharge analysis, climate-scenario simulation. -
Flow Estimation, Naturalized Flows & Forecasting
AFETUW-style hydrologic parameterization, drought indicators, and allocation modelling. -
GIS-Driven Hydrology & Spatial Analysis
Watershed delineation, ArcHydro workflows, terrain/hydro processing, remote sensing, spatial statistics. -
Hydrologic Data Automation
Python, ArcPy, FME, and SQL pipelines for real-time data ingestion, QA/QC, ETL, and dashboard development. -
Environmental Monitoring & Assessment
Surface & Groundwater levels and quality evaluation, cumulative-effects analysis, water-policy and allocation datasets.
My approach blends technical rigour with collaborative problem-solving. I enjoy creating tools that make hydrologic modelling faster, transparent, and actionable for engineers, regulators, and watershed managers.
You’ll find examples of my modelling, GIS workflows, dashboards, publications, and automation tools throughout this portfolio.
Feel free to reach out if you're interested in hydrology collaborations or applied modelling support.
​​Feel free to connect about potential collaborations or opportunities.
Research Interests
​I’m passionate about advancing environmental and water-resources engineering by integrating sustainability, geospatial technology, climate science, and policy analysis. My work focuses on solving complex hydrologic challenges through physics-based modelling, big-data pipelines, and spatial statistics, supporting data-driven, climate-resilient water management.
Surface-Groundwater Interaction & Recharge Modelling
Climate-scenario simulation, integrated water-cycle analysis, and development of MODFLOW/GMS workflows for recharge, aquifer behavior, and long-term groundwater sustainability.
Hydrologic Forecasting & Flow Estimation
Drought indicators, allocation modelling, reservoir-operations inputs, naturalized-flow analysis, and AFETUW-style hydrologic parameterization.
GIS & Spatial Hydrology
Watershed processes, ArcHydro and geoprocessing automation, terrain and hydrologic conditioning, remote sensing for recharge/runoff analysis, and spatial-statistical hydrology.
Hydrologic Data Quality, Gap-Filling & Uncertainty Analysis
Spatial, temporal, statistical, and machine-learning approaches for imputation of precipitation and streamflow records. These methods strengthen the accuracy and defensibility of hydrologic and groundwater models in data-sparse regions.
Automated Hydrologic Data Systems
End-to-end ETL pipelines, real-time monitoring integrations, and automated modelling workflows using Python, ArcPy, SQL, R, and FME. Dashboards translate complex hydrologic and climate data into actionable insights for operational and policy decision-makers.
Water-Policy Performance & Allocation Analysis
Integrating licensing datasets, groundwater trends, and climate projections using spatial statistics to evaluate policy performance and cumulative effects. Insights support adaptive regulatory frameworks, improved monitoring networks, and sustainable allocation criteria.
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