Source attribution of air pollution by spatial scale separation using high spatial density networks of low cost air quality sensors

Atmospheric Environment

Volumn 113, Issue , 2015, Pages 10-19

  Heimann, I ^a   Bright, V B ^a   McLeod, M W ^a   Mead, M I ^a   Popoola, O A M ^a   Stewart, G B ^a   Jones, R L ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Air quality; Baseline extraction; Electrochemical sensors; Emission scales; Sensor networks; Source attribution

Indexed keywords

AIR QUALITY; CARBON MONOXIDE; COMPLEX NETWORKS; COSTS; ELECTROCHEMICAL SENSORS; GAS DYNAMICS; POLLUTION; SENSOR NETWORKS;

AIR QUALITY ASSESSMENT; AIR QUALITY MEASUREMENTS; HIGH SPATIAL DENSITY; HIGH SPATIAL RESOLUTION; MEASUREMENT-BASED APPROACH; MEASUREMENTS OF CARBON MONOXIDE; RELATIVE FREQUENCIES; SOURCE ATTRIBUTION;

SOURCE SEPARATION;

CARBON MONOXIDE;

AIR QUALITY; ANTHROPOGENIC SOURCE; ATMOSPHERIC POLLUTION; CARBON MONOXIDE; ELECTROCHEMISTRY; EMISSION INVENTORY; SPATIAL ANALYSIS; SPATIAL RESOLUTION;

AIR POLLUTION; AIR QUALITY; ARTICLE; BOUNDARY LAYER; CIRCADIAN RHYTHM; COST; EXHAUST GAS; METEOROLOGY; PRIORITY JOURNAL; QUALITY CONTROL; RURAL AREA; SENSOR; TROPOSPHERE; URBAN AREA;

EID: 84928783182     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2015.04.057     Document Type: Article

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