Eco-hydrologic Modeling for Sustainable Drinking Water Protection

Calibrated a SWAT+ model to predict future nitrogen dynamics under various agricultural, climate change, and socio-economic scenarios in the Des Moines River Basin (14,802 sq mi).

Deep Learning Framework for Nutrient Dynamics Prediction

Developed an LSTM model to predict nitrate concentrations in Iowa's surface water sources.

Created a forecast-based framework to assess future nitrate dynamics and treatment facility resilience.

Evaluating the Performance of Gridded Rainfall Datasets

Assessed the performance of gridded rainfall datasets (CHIRPS, ERA5, GLDAS, GPM, GSMAP, PERSIANN, PRISM) against ground-based observations using Google Earth Engine (GEE) and Python.

Changing American Landscape

Developed a GEE application to visualize and display landcover statistics of a region (State or Basin).

Fertilizer Spill Impact Assessment Model

Developed a deterministic spatio-temporal mathematical model using advection-dispersion equations to analyze nitrogen concentrations due to liquid fertilizer spill in the East Nishnabotna River, Iowa.

Total Maximum Daily Load (TMDL) Analysis

Developed TMDL for nitrate impairment in the Boone River Basin, Iowa, using the SWAT+ model and designed a phased implementation plan for vegetative filter strip installation and monitoring.

Climate Change Mitigation and Bioenergy Production Analysis

Imported output from the Global Change Assessment Model (GCAM) into Python to analyze economic impacts of land cover and management practices on biomass production for Brazil, China, India, and the USA under various climate scenarios (RCP 6.0, 4.5, 2.6).