Spatiotemporal land use regression models of fine, ultrafine, and black carbon particulate matter in New Delhi, India

Environmental Science and Technology

Volumn 47, Issue 22, 2013, Pages 12903-12911

  Saraswat, Arvind ^a   Apte, Joshua S ^b,c   Kandlikar, Milind ^a   Brauer, Michael ^a   Henderson, Sarah B ^d   Marshall, Julian D ^e  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^d BRITISH COLUMBIA CENTRE FOR DISEASE CONTROL   (Canada)

^e UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTANT CONCENTRATIONS; CONTINUOUS MEASUREMENTS; FINE PARTICULATE MATTER; INDEPENDENT VARIABLES; LAND-USE REGRESSION MODELS; POLLUTANT CONCENTRATION; RESIDENTIAL NEIGHBORHOODS; ULTRAFINE PARTICLE NUMBER;

AIR POLLUTION; LAND USE; POPULATION STATISTICS; REGRESSION ANALYSIS;

C (PROGRAMMING LANGUAGE);

BLACK CARBON; AIR POLLUTANT; PARTICULATE MATTER; SOOT;

ANTHROPOGENIC EFFECT; CONCENTRATION (COMPOSITION); CORRELATION; LAND USE; NUMERICAL MODEL; PARTICULATE MATTER; REGRESSION ANALYSIS; SPATIOTEMPORAL ANALYSIS;

AIR MONITORING; AIR POLLUTANT; ARTICLE; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; DEMOGRAPHY; GEOGRAPHIC DISTRIBUTION; INCOME; INDEPENDENT VARIABLE; INDIA; LAND USE; LAND USE REGRESSION MODEL; MEASUREMENT; PARTICLE SIZE; PARTICULATE MATTER; POPULATION DENSITY; REGRESSION ANALYSIS; SEASONAL VARIATION; SPATIOTEMPORAL ANALYSIS; AIR POLLUTION; ANALYSIS; CHEMISTRY; CITY; ENVIRONMENTAL MONITORING; GEOGRAPHY; SOOT;

DELHI; INDIA; NEW DELHI;

AIR POLLUTANTS; AIR POLLUTION; CITIES; ENVIRONMENTAL MONITORING; GEOGRAPHY; INDIA; PARTICLE SIZE; PARTICULATE MATTER; REGRESSION ANALYSIS; SOOT; SPATIO-TEMPORAL ANALYSIS;

EID: 84888271455     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es401489h     Document Type: Article

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