scholarly article | Q13442814 |
P356 | DOI | 10.1021/ES030370Y |
P698 | PubMed publication ID | 14655699 |
P2093 | author name string | Joellen Lewtas | |
Eugene Kim | |||
Timothy V Larson | |||
Naydene N Maykut | |||
P433 | issue | 22 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | PM 2.5 | Q48035814 |
P304 | page(s) | 5135-5142 | |
P577 | publication date | 2003-11-01 | |
P1433 | published in | Environmental Science & Technology | Q689027 |
P1476 | title | Source apportionment of PM2.5 at an urban IMPROVE site in Seattle, Washington | |
P478 | volume | 37 |
Q37634063 | A Source Apportionment of U.S. Fine Particulate Matter Air Pollution |
Q40078421 | A comparative study on the varying exposure to atmospheric fine and coarse particles under urban and rural conditions |
Q35861866 | A model-based approach for imputing censored data in source apportionment studies |
Q57110221 | Ambient levels and temporal variations of PM2.5 and PM10 at a residential site in the mega-city, Nanjing, in the western Yangtze River Delta, China |
Q28749326 | Antioxidant airway responses following experimental exposure to wood smoke in man |
Q39978150 | Assessment of the sources of suspended particulate matter aerosol using US EPA PMF 3.0. |
Q40211116 | Association between particulate matter and its chemical constituents of urban air pollution and daily mortality or morbidity in Beijing City. |
Q44648262 | Associations between asthma emergency visits and particulate matter sources, including diesel emissions from stationary generators in Tacoma, Washington |
Q24811762 | Associations between health effects and particulate matter and black carbon in subjects with respiratory disease |
Q35568940 | Cardiac effects of seasonal ambient particulate matter and ozone co-exposure in rats |
Q57184680 | Chapter 1 Theory and Application of Atmospheric Source Apportionment |
Q45730032 | Characterization of ambient fine particles in the northwestern area and Anchorage, Alaska |
Q50208398 | Chemical Speciation of PM2.5 and PM10 in South Phoenix, AZ. |
Q40464890 | Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India. |
Q28387311 | Coarse particulate matter and airborne endotoxin within wood stove homes |
Q24584748 | Concentration gradient patterns of traffic and non-traffic-generated fine and coarse aerosol particles |
Q36225221 | Current Methods and Challenges for Epidemiological Studies of the Associations Between Chemical Constituents of Particulate Matter and Health |
Q36785142 | Electrocardiographic and respiratory responses to coal-fired power plant emissions in a rat model of acute myocardial infarction: results from the Toxicological Evaluation of Realistic Emissions of Source Aerosols Study |
Q57185162 | Factor Analysis of Seattle Fine Particles |
Q83853774 | Heart-rate variability in the apolipoprotein E knockout transgenic mouse following exposure to Seattle particulate matter |
Q57185177 | Improving source identification of fine particles in a rural northeastern U.S. area utilizing temperature-resolved carbon fractions |
Q57185031 | Major Source Categories for PM2.5in Pittsburgh using PMF and UNMIX |
Q90718922 | Occurrence and source apportionment of novel and legacy poly/perfluoroalkyl substances in Hai River basin in China using receptor models and isomeric fingerprints |
Q51330350 | PM source apportionment and health effects: 1. Intercomparison of source apportionment results. |
Q28383438 | Particulate matter components and subclinical atherosclerosis: common approaches to estimating exposure in a Multi-Ethnic Study of Atherosclerosis cross-sectional study |
Q35586342 | Regional PM2.5 and asthma morbidity in an agricultural community: a panel study |
Q24816217 | Relationship between composition and toxicity of motor vehicle emission samples |
Q28396943 | Risk-based indicators of Canadians' exposures to environmental carcinogens |
Q39941409 | Source apportionment of PM(10) and PM(2.5) at multiple sites in the strait of Gibraltar by PMF: impact of shipping emissions. |
Q51603529 | Source apportionment of indoor, outdoor, and personal PM2.5 in Seattle, Washington, using positive matrix factorization. |
Q39373945 | Source identification and apportionment of PM2.5 and PM2.5-10 in iron and steel scrap smelting factory environment using PMF, PCFA and UNMIX receptor models |
Q50939725 | Source identifications of airborne fine particles using positive matrix factorization and U.S. Environmental Protection Agency positive matrix factorization. |
Q58240453 | Source origins, modeled profiles, and apportionments of halogenated hydrocarbons in the greater Pearl River Delta region, southern China |
Q86208025 | Sources of submicron aerosol during fog-dominated wintertime at Kanpur |
Q36041827 | The Denver Aerosol Sources and Health (DASH) Study: Overview and Early Findings |
Q28763602 | The effects of components of fine particulate air pollution on mortality in california: results from CALFINE |
Q39850570 | The use of source apportionment for air quality management and health assessments |
Q28740859 | Time-series analysis of mortality effects of fine particulate matter components in Detroit and Seattle |
Q35071218 | UNMIX modeling of ambient PM(2.5) near an interstate highway in Cincinnati, OH, USA. |
Q38429135 | Winter and summer PM2.5 chemical compositions in fourteen Chinese cities |
Q29615698 | Woodsmoke health effects: a review |
Search more.