Establishing an air pollution monitoring network for intra-urban population exposure assessment: A location-allocation approach

被引:197
作者
Kanaroglou, PS [1 ]
Jerrett, M
Morrison, J
Beckerman, B
Arain, MA
Gilbert, NL
Brook, JR
机构
[1] McMaster Univ, Ctr Spatial Anal, Sch Geog & Geol, Hamilton, ON L8S 4K1, Canada
[2] McMaster Univ, Sch Geog & Geol, Hamilton, ON L8S 4K1, Canada
[3] McMaster Univ, McMaster Inst Environm & Hlth, Hamilton, ON L8S 4K1, Canada
[4] Carleton Univ, Sch Comp Sci, Ottawa, ON K1S 5B6, Canada
[5] Hlth Canada, Air Hlth Effects Sect, Ottawa, ON K1A 0L2, Canada
[6] Meteorol Serv Canada, Toronto, ON, Canada
关键词
air pollution; traffic emissions; monitoring networks; location-allocation models; health effects assessment;
D O I
10.1016/j.atmosenv.2004.06.049
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study addresses two objectives: (1) to develop a formal method of optimally locating a dense network of air pollution monitoring stations; and (2) to derive an exposure assessment model based on these monitoring data and related land use, population, and biophysical information. Previous studies have located monitors in an ad hoe fashion, favouring the placement of monitors in traffic "hot spots" or in areas deemed subjectively to be of interest. We apply our methodology in locating 100 nitrogen dioxide monitors in Toronto, Canada. Locations identified by the method represent land use, transportation infrastructure and the distribution of at-risk populations. Our exposure assessments derived from the monitoring program produce reasonable estimates at the intra-urban scale. The method for optimally locating monitors may have widespread applicability for the design of pollution monitoring networks, particularly for measuring traffic pollutants with fine-scale spatial variability. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2399 / 2409
页数:11
相关论文
共 24 条
  • [1] [Anonymous], 2001, 2001 CENS CAN
  • [2] Mapping urban air pollution using GIS: a regression-based approach
    Briggs, DJ
    Collins, S
    Elliott, P
    Fischer, P
    Kingham, S
    Lebret, E
    Pryl, K
    VAnReeuwijk, H
    Smallbone, K
    VanderVeen, A
    [J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 1997, 11 (07) : 699 - 718
  • [3] A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments
    Briggs, DJ
    de Hoogh, C
    Guiliver, J
    Wills, J
    Elliott, P
    Kingham, S
    Smallbone, K
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2000, 253 (1-3) : 151 - 167
  • [4] OPTIMAL MONITORING NETWORK DESIGNS
    CASELTON, WF
    ZIDEK, JV
    [J]. STATISTICS & PROBABILITY LETTERS, 1984, 2 (04) : 223 - 227
  • [5] CASELTON WF, 1992, STAT ENV EARTH SCI
  • [6] Cressie N, 1993, STAT SPATIAL DATA
  • [7] Densham PaulJ., 1992, PAP REG SCI, V71, P307, DOI DOI 10.1007/BF01434270
  • [8] Examining associations between childhood asthma and traffic flow using a geographic information system
    English, P
    Neutra, R
    Scalf, R
    Sullivan, M
    Waller, L
    Zhu, L
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 1999, 107 (09) : 761 - 767
  • [9] Finkelstein MM, 2003, CAN MED ASSOC J, V169, P397
  • [10] GETIS A, 1995, US CANADA LAND PEOPL