Sarah Henderson

 
Prospective Graduate Students / Postdocs

This faculty member is currently not actively recruiting graduate students or Postdoctoral Fellows, but might consider co-supervision together with another faculty member.

Associate Professor

Research Interests

wildfire smoke
air pollution
Extreme weather events
environmental health
radon gas
Food safety
Water quality

Relevant Degree Programs

Research Options

I am available and interested in collaborations (e.g. clusters, grants).
I am interested in and conduct interdisciplinary research.
I am interested in working with undergraduate students on research projects.
 
 

Research Methodology

collection, processing, integration, analysis, and communication of health and environmental data

Graduate Student Supervision

Master's Student Supervision (2010 - 2020)
Best practices for the assessment of the public health effects of noise from proposed development projects (2018)

Governments and organizations around the world are increasingly considering public health as part of planning, assessment, and decision making processes for large development projects, such as new transportation corridors or industrial facilities. To date, there are no established or consistent methods for the consideration of environmental noise in assessment processes for these projects. The overarching objective of this thesis is to identify best practices for considering the public health effects of environmental noise when assessing the potential impacts of development projects. The term “noise impact assessment” (NIA) is proposed, including a framework adapted from human health risk assessment and health impact assessment processes.Best practices for the NIA process were identified following a literature review in four key subject areas: (1) health effects of noise; (2) noise prediction/noise modeling; (3) practices in health impact assessment; and (4) practices in environmental impact assessment. Themes and lessons from the literature in each of the four key subject areas were identified and applied to the NIA framework. A total of thirteen best practices were identified.In particular, this work emphasizes the importance of assessing health impacts themselves in addition to noise exposure. It identifies the “percent [of people] highly annoyed [by noise]” (%HA) and “percent [of people] highly sleep disturbed [by noise]” (%HSD) metrics as recommended quantitative and objective measures of the adverse health effects of noise appropriate for use in NIA. At the same time, this work recommends a flexible assessment approach that considers both objective and subjective, acoustical and non-acoustical factors that impact human health, including noise level, community context, and noise sensitivity. Finally, this thesis argues against noise management as an appropriate focus of any noise reduction strategy because it has limited potential to meaningfully change noise exposures.While there is a broad literature relating to the health impacts of environmental noise, and numerous best practices for health impact assessment and human health risk assessment, this work is the first to bring these areas of research together and identify best practices for considering environmental noise in the assessment process for development projects.

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Microscale air temperature mapping In greater Vancouver, British Columbia (2018)

Background: Mobile air temperature monitoring is a promising method to better understand temperature distributions at fine spatial resolutions across urban areas and to minimize extreme hot weather health impacts. The first study objective was to collect pedestrian microscale air temperature data to evaluate different methods for assessing spatial variation in urban heat exposure in greater Vancouver, Canada. The second objective was to develop microscale land use regression (LUR) air temperature models using the data collected.Methods: Mobile air temperature monitoring was conducted on foot at least twice for 20 routes chosen to represent potential heat exposures. The mobile data were compared with 1-minute measurements from the nearest fixed site, with satellite-derived land surface temperature (LST) for runs corresponding with Landsat overpass days, and with estimates from a previously-developed heat map for the region based on satellite generated geographic data. Six independent variables were considered for use in constructing a 30 x 30m LUR model for each run and within all routes in greater Vancouver. All models were evaluated using a spatial leave-ten-out cross-validation (LTOCV) approach.Results: Mobile measurements were typically higher and more variable than simultaneous fixed site measurements. The relationship between mobile measurements and LST were weak and highly variable. The mobile measurement and heat map z-score differentials suggested that spatial temperature variability was well-captured by the previously-developed heat map. The Distance to Large Water Body, Distance to Major Road, Normalized Difference Water Index, and Sky-View Factor were selected as the most predictive independent variables. On average, the best individual route models explained 38.6% of the variation in microscale air temperatures at 20 routes. The overall model explained only 10.0% of the variation in the route areas of the greater Vancouver region. Conclusion: The microscale measurements confirmed that fixed sites did not characterize the thermal variability within nearby streetscapes. They could also be used to generate LUR models for some locations. The strength of daytime mesoscale atmospheric processes may weaken the predictive power of land use variables. Future studies intending to use microscale modelling should collect data within a restricted time range and across fewer routes. 

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News Releases

This list shows a selection of news releases by UBC Media Relations over the last 5 years.

Publications

 

Membership Status

Partner appointment
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Location

BC Centre for Disease Control

Program Affiliations

 

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