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Spatiotemporal Modeling of Ambient Sulfur Dioxide Concentrations in Rural Western Canada
Journal article   Peer reviewed

Spatiotemporal Modeling of Ambient Sulfur Dioxide Concentrations in Rural Western Canada

Shihe Fan, Igor Burstyn and Ambikaipakan Senthilselvan
Environmental modeling & assessment, v 15(2), pp 137-146
Apr 2010

Abstract

Environment, general Math. Appl. in Environmental Science Environment Air pollution Applications of Mathematics Mathematical Modeling and Industrial Mathematics Exposure assessment Spatiotemporal model Sulfur dioxide
The provinces of Saskatchewan, Alberta, and British Columbia are major oil- and gas-producing regions in western Canada. With increasing oil and gas production activities, there has been a growing concern of the effect of oil and gas industry emissions on health. Nevertheless, lack of proper tools to estimate the exposure to these emissions has been a hindrance to epidemiological studies and risk assessment. This paper presents a spatiotemporal modeling approach to estimating ambient sulfur dioxide (SO2) levels based on environmental monitoring data (N = 10,295), which were collected at rural sites (591 per month on average) of this region from June 1, 2001 to May 31, 2002. Based on the model, illustrative maps consistently revealed high and low SO2 concentration sub-regions. The sub-regions with elevated SO2 concentrations had increased levels during the winter months from December 2001 to March 2002 and then decreased during the spring of 2002. This statistical modeling approach may help researchers estimate the SO2 levels within the study area for their epidemiological studies or risk assessment.

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2 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being
#11 Sustainable Cities and Communities

Source: SDGs in the Output

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