Ali Ameli

Assistant Professor

Research Classification

Research Interests

Applied Hydro-geochemistry
Climate Changes and Impacts
Environmental Tracer
Ground Water and Water Tables
Groundwater Ecohydrology
Groundwater-Surfacewater & land Interaction
Hydro-geological Engineering
Hydrological Cycle and Reservoirs
Numerical analysis
Watershed Management

Relevant Thesis-Based Degree Programs

Affiliations to Research Centres, Institutes & Clusters

 
 

Research Methodology

Numerical method
Analytical methods
Data-Driven approach
Functional Data Analysis

Recruitment

Master's students
Doctoral students
Any time / year round

My research explores below questions:

1) Where does water go after it rains?

2) How does chemistry of rainwater alter on its way from being rainfall to being streamflow?

3) How do resource developments impact water pathways and stream water quality?

4) Where are suitable locations for agricultural and forestry activities with a minimal impact on water quality?

I support public scholarship, e.g. through the Public Scholars Initiative, and am available to supervise students and Postdocs interested in collaborating with external partners as part of their research.
I support experiential learning experiences, such as internships and work placements, for my graduate students and Postdocs.
I am open to hosting Visiting International Research Students (non-degree, up to 12 months).
I am interested in hiring Co-op students for research placements.

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Graduate Student Supervision

Master's Student Supervision

Theses completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest theses.

A scientific framework for identification and mechanistic assessment of catchment functional behavior during stormflow generation (2024)

The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.

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A scientific framework to assess catchment storage-discharge relation and its functional linkage with climate, geology and topography (2023)

Study of cross-site variabilities and similarities of catchment storage-discharge relation provides insights into the drivers and causes of such relation, generalizable to a wide range of climatic and physical settings. In this thesis, two studies were conducted using large-sample hydrology comparative analyses to enhance the understanding of the drivers and causes of the functional relations between catchment storage and discharge. Hydrograph recession analysis was the primary analytical tool in this thesis. It was applied to determine the catchment recession flow dynamics, and to build the mechanistic understanding of the cause of diverse storage-discharge relations observed in different climatic and physical settings. Findings suggest that the nonlinearities of streamflow recession (and that of storage-discharge relation) strongly depend on belowground attributes and slope in rain-dominated medium size catchments, and strongly depend on slope and snowmelt characteristics in snow-dominated medium size catchments. In large catchments (i.e., catchment area larger than 1000 square kilometers), the attributes related to magnitude and timing of input water (e.g., water surplus, aridity index, maximum snow water equivalent) have larger relative influences, than belowground attributes, on streamflow recession dynamics and storage-discharge relation. Meanwhile, the results show that at low flow condition, hillslope bedrock groundwater contribution to main stream may become a major source of low-flow, and its absence or presence determines the functional nonlinearity of recession dynamics and storage-discharge relation. With an increase in the contribution of hillslope bedrock groundwater—relative to riparian groundwater—to low-flow discharge, the nonlinearity of recession hydrograph increases, leading to a higher catchment-scale resistance to streamflow drought during dry periods. The findings expand the understanding of catchment-scale groundwater flow pathways generating low-flow, with implications to identify where and why catchments are vulnerable to drought under prolonged dry periods.

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