Spatial patterns and determinants of winter atmospheric carbon dioxide concentrations in an urban environment

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44 Citations (Scopus)

Abstract

The purpose of this article is to describe determinants and spatial patterns of atmospheric carbon dioxide (CO 2) in Phoenix, Arizona. Specifically, we use geographic information systems (GIS) and regression-based analyses to identify the human and biological factors that contribute to spatial and temporal variations in near-surface (2-meter height) atmospheric CO 2 levels. We use these factors to create estimated surfaces of CO 2 concentrations for the area. We evaluate the surfaces using records of CO 2 from independent monitoring stations and transects. To investigate the temporal patterns and variations in CO 2 concentrations, we estimate CO 2 surfaces for the early mornings and the afternoons, on weekdays when traffic is heavy and spatially focused and on weekends when it is lighter and more spatially dispersed. Findings suggest there is a distinct relationship between the structure of Phoenix CO 2 levels and spatial patterns of human activities and vegetation densities. Morning CO 2 levels are higher than afternoon levels and correspond closely to the density of traffic, population, and employment. The spatial structure of human activity explains the pattern of CO 2 better on weekdays than on weekends. CO 2 surfaces reflect declining densities of human activity with distance from the city center, the pattern of irrigated agriculture in the Phoenix area, and riparian habitats on the urban fringe. Spatial and temporal patterns of CO 2 concentrations are useful in understanding urban climate and ecosystem processes.

Original languageEnglish (US)
Pages (from-to)15-28
Number of pages14
JournalAnnals of the Association of American Geographers
Volume92
Issue number1
StatePublished - Mar 2002

Fingerprint

carbon dioxide
weekend
determinants
winter
traffic
human activity
biological factors
city center
habitat
information system
urban climate
urban ecosystem
agriculture
climate
monitoring
regression
temporal variation
spatial variation
transect
vegetation

Keywords

  • Carbon dioxide
  • Geographic information systems (GIS)
  • Regression-based mapping
  • Urban climatology

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

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abstract = "The purpose of this article is to describe determinants and spatial patterns of atmospheric carbon dioxide (CO 2) in Phoenix, Arizona. Specifically, we use geographic information systems (GIS) and regression-based analyses to identify the human and biological factors that contribute to spatial and temporal variations in near-surface (2-meter height) atmospheric CO 2 levels. We use these factors to create estimated surfaces of CO 2 concentrations for the area. We evaluate the surfaces using records of CO 2 from independent monitoring stations and transects. To investigate the temporal patterns and variations in CO 2 concentrations, we estimate CO 2 surfaces for the early mornings and the afternoons, on weekdays when traffic is heavy and spatially focused and on weekends when it is lighter and more spatially dispersed. Findings suggest there is a distinct relationship between the structure of Phoenix CO 2 levels and spatial patterns of human activities and vegetation densities. Morning CO 2 levels are higher than afternoon levels and correspond closely to the density of traffic, population, and employment. The spatial structure of human activity explains the pattern of CO 2 better on weekdays than on weekends. CO 2 surfaces reflect declining densities of human activity with distance from the city center, the pattern of irrigated agriculture in the Phoenix area, and riparian habitats on the urban fringe. Spatial and temporal patterns of CO 2 concentrations are useful in understanding urban climate and ecosystem processes.",
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AB - The purpose of this article is to describe determinants and spatial patterns of atmospheric carbon dioxide (CO 2) in Phoenix, Arizona. Specifically, we use geographic information systems (GIS) and regression-based analyses to identify the human and biological factors that contribute to spatial and temporal variations in near-surface (2-meter height) atmospheric CO 2 levels. We use these factors to create estimated surfaces of CO 2 concentrations for the area. We evaluate the surfaces using records of CO 2 from independent monitoring stations and transects. To investigate the temporal patterns and variations in CO 2 concentrations, we estimate CO 2 surfaces for the early mornings and the afternoons, on weekdays when traffic is heavy and spatially focused and on weekends when it is lighter and more spatially dispersed. Findings suggest there is a distinct relationship between the structure of Phoenix CO 2 levels and spatial patterns of human activities and vegetation densities. Morning CO 2 levels are higher than afternoon levels and correspond closely to the density of traffic, population, and employment. The spatial structure of human activity explains the pattern of CO 2 better on weekdays than on weekends. CO 2 surfaces reflect declining densities of human activity with distance from the city center, the pattern of irrigated agriculture in the Phoenix area, and riparian habitats on the urban fringe. Spatial and temporal patterns of CO 2 concentrations are useful in understanding urban climate and ecosystem processes.

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