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Bridging the Divide between Air Quality Monitoring, Management and Policy in the Sea-to-Sky Airshed: A method for analyzing and interpreting large volume air quality data for management and policy guidance

Cukor, Kirsten LU (2015) In IIIEE Master thesis IMEN56 20151
The International Institute for Industrial Environmental Economics
Abstract
Air pollution has increasingly been the focus of management and policy efforts since the early
1950s. Networks of monitoring stations for data to inform, create, focus, assess and improve
air pollution management and policy. However, monitoring systems can become disconnected
from air quality management and policy without analysis and interpretation to bridge the
divide. This thesis develops a method of analyzing and interpreting large volume air quality
data into key air pollutant trends and characteristics to guide air quality management and
policy. The method is applied to air quality data between 2002 and 2013 in the Sea-to-Sky
Airshed, located in south-western British Columbia, Canada. At the time of study, this airshed
... (More)
Air pollution has increasingly been the focus of management and policy efforts since the early
1950s. Networks of monitoring stations for data to inform, create, focus, assess and improve
air pollution management and policy. However, monitoring systems can become disconnected
from air quality management and policy without analysis and interpretation to bridge the
divide. This thesis develops a method of analyzing and interpreting large volume air quality
data into key air pollutant trends and characteristics to guide air quality management and
policy. The method is applied to air quality data between 2002 and 2013 in the Sea-to-Sky
Airshed, located in south-western British Columbia, Canada. At the time of study, this airshed
contained a monitoring system that had been growing increasingly disconnected from the
airshed’s air quality management and policy. Applying this method uncovered significant
instances of inaccurate and missing air quality data, and identified the airshed’s key pollutant
trends and characteristics. These findings were then used to create recommendations for
improving the resource efficiency and quality of the airshed’s monitoring, management and
policy. Also identified were applications of R and R’s OpenAir package which are estimated to
significantly reduce analysis time and offer additional analysis options. (Less)
Please use this url to cite or link to this publication:
author
Cukor, Kirsten LU
supervisor
organization
course
IMEN56 20151
year
type
H2 - Master's Degree (Two Years)
subject
keywords
air quality, air pollution, analysis, Sea-to-Sky, Canada
publication/series
IIIEE Master thesis
report number
2015:03
ISSN
1401-9191
language
English
id
8168493
date added to LUP
2015-11-11 08:06:39
date last changed
2015-11-11 08:06:39
@misc{8168493,
  abstract     = {{Air pollution has increasingly been the focus of management and policy efforts since the early
1950s. Networks of monitoring stations for data to inform, create, focus, assess and improve
air pollution management and policy. However, monitoring systems can become disconnected
from air quality management and policy without analysis and interpretation to bridge the
divide. This thesis develops a method of analyzing and interpreting large volume air quality
data into key air pollutant trends and characteristics to guide air quality management and
policy. The method is applied to air quality data between 2002 and 2013 in the Sea-to-Sky
Airshed, located in south-western British Columbia, Canada. At the time of study, this airshed
contained a monitoring system that had been growing increasingly disconnected from the
airshed’s air quality management and policy. Applying this method uncovered significant
instances of inaccurate and missing air quality data, and identified the airshed’s key pollutant
trends and characteristics. These findings were then used to create recommendations for
improving the resource efficiency and quality of the airshed’s monitoring, management and
policy. Also identified were applications of R and R’s OpenAir package which are estimated to
significantly reduce analysis time and offer additional analysis options.}},
  author       = {{Cukor, Kirsten}},
  issn         = {{1401-9191}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{IIIEE Master thesis}},
  title        = {{Bridging the Divide between Air Quality Monitoring, Management and Policy in the Sea-to-Sky Airshed: A method for analyzing and interpreting large volume air quality data for management and policy guidance}},
  year         = {{2015}},
}