TY - JOUR
T1 - Surface ozone monitoring and policy
T2 - A geospatial decision support tool for suitable location of monitoring stations in urban areas
AU - Northeim, Kari
AU - Tiwari, Chetan
AU - Oppong, Joseph
N1 - Funding Information:
The authors would like to acknowledge from the University of North Texas, Dr. Sam Atkinson, Department of Environmental Science, Dr. James Bednarz, Department of Biology, and Dr. Lu Liang, Department of Geography and the Environment for their reviews, suggestions, and edits. We also thank the anonymous reviewers for their reading of the paper and suggestions.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/12
Y1 - 2021/12
N2 - Fixed site monitoring is the primary method of measuring surface ozone pollution for health advisories and pollutant reduction, but the spatial scale may not reflect the current population distribution or its future growth. Moreover, formal methods for the placement of ozone monitoring sites within populations regions omit important spatial criteria producing monitoring locations that could unintentionally bias the exposure burden. Because ozone pollution endangers human health, triggering shortness of breath, causing asthma attacks and mortality, a need exists for assessing the spatial representativeness and data gaps of existing pollution monitors and to evaluate future placement strategies of additional monitors. A new metric, the potency index, for assessing the placements of monitors in relation to population distribution was developed. This index was used to evaluate the configuration of the ozone pollution monitoring network in relation to the population distribution in Dallas-Fort Worth (DFW). Location-allocation models were used to optimize future sensor quantity and placement. Finally, we propose the development of a decision support system that uses evaluation and optimization methods to improve air pollution monitoring objectives.
AB - Fixed site monitoring is the primary method of measuring surface ozone pollution for health advisories and pollutant reduction, but the spatial scale may not reflect the current population distribution or its future growth. Moreover, formal methods for the placement of ozone monitoring sites within populations regions omit important spatial criteria producing monitoring locations that could unintentionally bias the exposure burden. Because ozone pollution endangers human health, triggering shortness of breath, causing asthma attacks and mortality, a need exists for assessing the spatial representativeness and data gaps of existing pollution monitors and to evaluate future placement strategies of additional monitors. A new metric, the potency index, for assessing the placements of monitors in relation to population distribution was developed. This index was used to evaluate the configuration of the ozone pollution monitoring network in relation to the population distribution in Dallas-Fort Worth (DFW). Location-allocation models were used to optimize future sensor quantity and placement. Finally, we propose the development of a decision support system that uses evaluation and optimization methods to improve air pollution monitoring objectives.
KW - Decision support system
KW - Environmental policy
KW - Geospatial analysis
KW - Ozone air pollution monitoring
UR - http://www.scopus.com/inward/record.url?scp=85116427039&partnerID=8YFLogxK
U2 - 10.1016/j.envsci.2021.09.011
DO - 10.1016/j.envsci.2021.09.011
M3 - Article
AN - SCOPUS:85116427039
SN - 1462-9011
VL - 126
SP - 48
EP - 59
JO - Environmental Science and Policy
JF - Environmental Science and Policy
ER -