Transferability and generalizability of regression models of ultrafine particles in urban neighborhoods in the boston area

Environmental Science and Technology

Volumn 49, Issue 10, 2015, Pages 6051-6060

  Patton, Allison P ^a,e   Zamore, Wig ^b   Naumova, Elena N ^a,d   Levy, Jonathan I ^c   Brugge, Doug ^d   Durant, John L ^a  

^a Tufts University   (United States)

^b Somerville Transportation Equity Partnership   (United States)

^c BOSTON UNIVERSITY SCHOOL OF PUBLIC HEALTH   (United States)

^d TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; LAND USE; WIND;

LAND USE REGRESSION; MOBILE MONITORING; PARTICLE NUMBER CONCENTRATION; REGRESSION MODEL; SPATIAL TEMPORALS; ULTRAFINE PARTICLE; URBAN NEIGHBORHOOD; WIND SPEED AND DIRECTIONS;

REGRESSION ANALYSIS;

ATMOSPHERIC MODELING; CALIBRATION; NEIGHBORHOOD; PARTICLE SIZE; REGRESSION ANALYSIS; TRAFFIC CONGESTION; URBAN ATMOSPHERE;

AIR POLLUTANT; ARTICLE; HIGHWAY; LAND USE REGRESSION MODEL; NEIGHBORHOOD; PARTICULATE MATTER; REGRESSION ANALYSIS; TEMPERATURE; TRAFFIC; ULTRAFINE PARTICLE; UNITED STATES; URBAN AREA; AIR; AIR POLLUTION; ANALYSIS; ENVIRONMENTAL MONITORING; MASSACHUSETTS; PROCEDURES; STATISTICAL MODEL;

BOSTON; MASSACHUSETTS; UNITED STATES;

PARTICULATE MATTER;

AIR MOVEMENTS; AIR POLLUTION; BOSTON; ENVIRONMENTAL MONITORING; MODELS, STATISTICAL; PARTICULATE MATTER;

EID: 84929590174     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es5061676     Document Type: Article

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