University of Vermont

CEMS - The College of Engineering and Mathematical Sciences

Environmental Engineering

Faculty and students involved in the Environmental Engineering application area work in collaboration with investigators at the Rubenstein School of Environment and Natural Resources and interact closely with regional companies and state and federal environmental funding and regulatory agencies.

Example Projects



Atmospheric Aging of Diesel Exhaust Particulates

This project examines the atmospheric processing of diesel exhaust particles as they age during transport in the atmosphere in the presence of ozone and NOx. The goal of the project is to understand atmospheric diesel particle chemistry as a function of transport/reaction conditions in the ambient environment.
Contact: Britt Holmén

Emerging Contaminants

Emerging Contaminants

The focus of this research is to understand the chemical and biological processes controlling the generation, transport and transformation of pesticides, pharmaceuticals, nanoparticles and other contaminants that have recently been identified as having adverse human and environmental health consequences.
Contacts: Nancy Hayden, Britt Holmén, Jane Hill, Donna Rizzo


Particle growth chart

Environmental Particles

The ability to estimate the environmental fate of the myriad of anthropogenic chemicals entering our environment depends to a large extent on the interactions contaminants have with environmental particles and surfaces. Understanding the processes leading to the creation, transformation and transport of airborne particles and the contaminants they carry is a critical focus of this research.
Contact: Britt Holmén

Groundwater Remediation

Groundwater Remediation

In this project, field sampling and advanced computational techniques are used to track historical groundwater contaminants, identify contaminant source locations and advance the state of knowledge on groundwater supply processes. Geostatistics, optimization and computational techniques, including artificial neural networks (ANNs), are used to solve subsurface environmental optimization problems.
Contacts: George Pinder, Donna Rizzo


Quantifying Real-World Vehicle Tailpipe Emissions
for Air Quality Modeling

TailpipeAccurate projections of ambient air pollutant concentrations from diverse sources depend on having realistic estimates of individual source emissions. For vehicles, emissions estimates are currently based on laboratory tests that do not reliably replicate the way people drive in the real-world and therefore the emissions estimates are unreliable. This project aims to develop new on-vehicle methods to collect vehicle tailpipe emissions rate data for gaseous and particulate pollutants during on-road driving. The data will be used to develop new mobile source emissions models with high temporal and spatial resolution. These emissions models can be interfaced with advanced transportation planning and air quality simulation models to improve understanding of how changes in transportation infrastructure affect ambient air quality.
Contact: Britt Holmén

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