Non-point source pollution
Non-point source pollution (sediments, nutrients and pathogens) from upstream agricultural or rangeland production is impairing several water bodies (streams, reservoirs etc.) in the province of Ontario and furthermore resulting in delivering pollutants to the Great Lakes. This degradation is projected to worsen with continued anthropogenic landuse and climate change. My current research involves using various innovative engineering and scientific investigations, successfully using the disciplines of Geographic Information Systems (GIS), remote sensing, hydrological modeling and field experimentation to understand the major gaps in identifying the non-point source pollution, and design, implement/establish environmentally effective solutions to solve emerging water quality and quantity concerns at various spatial and temporal scales.
Research work towards PhD program at Kansas State University involved in two main projects: The first project investigates innovative solutions to improve the water quality by identifying and targeting specific fields with greatest soil erosion potential and quantifying the potential reductions from the selected best management practices (BMPs) in Black Kettle Creek watershed in south-central Kansas. Second project involves development of a predictive ephemeral gully model to identify potential ephemeral gully locations and estimate event-based soil loss from each ephemeral gully as they were considered a major source of sediment that impairs water quality in watersheds in Kansas.
At Texas A&M University, research involved investigating several national and international projects funded by prestigious United States national agencies such as USDA-NIFA, USGS, NRCS, CEAP, USAID and global industries such as Shell International. Some selected studies include (1) Assessing flow, sediment and nutrient loads using high resolution watershed modeling in West Lake Erie basin (2) Assessing the impact of BMPs in Eagle Creek watershed within West Lake Erie basin and investigating water quantity and quality in an experimental field (3) Simulation and prediction of decadal climate impacts on water and agriculture in Missouri River basin (4) Estimating water stress at county level in Midwestern and southern United States (5) Evaluating the impact of BMPs in Richland Chambers watershed of Texas (6) Estimating current and future water availability in Tigris-Euphrates river basin (7) Evaluating the fate and future of Al-hawiezh wetlands in Iraq.