SLR air quality service professionals stay at the forefront of evolving air quality regulations and science across North America.
With more than 400 environmental professionals in North America, SLR offers comprehensive air quality management services to assist our clients. These services range from conducting project regulatory applicability and fatal flaw analyses to installation and operation of ambient monitoring stations to developing emissions inventories to performing the engineering and technical analysis required to obtain state and/or federal air permit approvals for the most complex of projects. SLR’s air quality service experience ranges across local, state, tribal, and federal governments and across nearly all of SLR’s seven core sectors.
SLR has recently acquired Novus Environmental - for more information about the Air Quality skills they bring to our team see: https://www.novusenv.com/
How can SLR help?
Air quality monitoring
- Compliance monitoring, recordkeeping and reporting
- Ambient air quality and meteorological monitoring
- Quality assured monitoring for air pollutants, dust and odour
- Real-time data analysis and reporting
Air quality modelling and assessment
- Atmospheric dispersion modelling
- Human health risk assessments
- Landfill gas risk assessments
- Odour and dust impact assessments
- Bio-aerosol risk assessments
- Transport emissions impact assessments
Air quality management
- Strategic air quality planning
- Licensing/Permitting of industrial installations
- Fugitive emissions management and nuisance investigation
- Process and plant due diligence and engineering studies
- Public relations
- Expert witness and testimony
With our specialist in-house expertise, members of the SLR air quality team are able to undertake a full compliance/best practice assessment of an existing installation or help to support planning decisions regarding new development and the impact of change of land-use.
Whether your project involves simple screening of impacts or detailed atmospheric dispersion modelling, the SLR air quality team has the staff and experience to meet your needs.
Adequate Design Evaluation for Vapor Collection & Control Systems
SLR’s proprietary Excel-based transient model is capable of predicting and trending tank system pressure over time to determine if pressure relief set points will be exceeded.
Air Dispersion Modeling
Air dispersion models are important tools in air quality management that are used to estimate a source or facility’s air quality impact due to its emissions.
Our global quality team provides a full range of air permitting services across a broad spectrum of industries. Our solutions include project regulatory applicability and feasibility assessments and engineering and technical analyses to identify issues that must be addressed to obtain state and/or federal air permit approvals for the most complex projects.
Air Toxics Health Risk Assessment
SLR’s scientists and engineers are experts in developing air toxics inventories and applying agency-approved models to characterize health risks.
Ambient Air Monitoring
SLR’s team of experts have decades of extensive regulatory and dispersion modeling experience.
SLR’s air quality engineers, modelers, and toxicologists are expert in developing air toxics emission inventories and applying USEPA and District-approved air dispersion models and risk characterization procedures to support construction permit applications, AB2588 HRAs, and Proposition 65 evaluations.
Through evaluation of client’s regulatory compliance requirements SLR is able to design a protocol, execute field measurements, interpret results, and report the findings in a proficient format.
Leak Detection and Repair (LDAR) Programs
With the increased use of optical gas imaging techniques SLR provides leak detection and repair (LDAR) support to all facets of the oil and gas industry.
Process Simulation Modeling
SLR holds a license for the BRE ProMax® process simulation software. Our practiced engineers combine their knowledge of process engineering and air quality regulations to confirm the process model predicts regulatory compliance with accurate model results.