Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 53 checked references that resolve
resolves10.5194/acp-18-15601-2018Source apportionment of fine particulate matter in Houston, Texas: insights to secondary organic aerosols
resolves10.1029/2006GB002840Historical emissions of black and organic carbon aerosol from energy‐related combustion, 1850–2000
resolves10.1016/S0165-9936(02)01102-0Speciation of hexavalent chromium in atmospheric particulate samples by selective extraction and ion chromatographic determination
resolves10.5194/acp-18-11793-2018First long-term and near real-time measurement of trace elements in China's urban atmosphere: temporal variability, source apportionment and precipitation effect
resolves10.1021/es0525105Quantifying PM<sub>2.5</sub> Source Contributions for the San Joaquin Valley with Multivariate Receptor Models
resolves10.1016/j.chemosphere.2003.07.004Source profiles for industrial, mobile, and area sources in the Big Bend Regional Aerosol Visibility and Observational study
resolves10.4209/aaqr.2017.03.0108Chemical Characterization and Source Apportionment of PM2.5 during Spring and Winter in the Yangtze River Delta, China
resolves10.1016/j.atmosenv.2005.12.069Determination of levoglucosan in biomass combustion aerosol by high-performance anion-exchange chromatography with pulsed amperometric detection
resolves10.5194/acp-19-6167-2019The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China
resolves10.1016/j.atmosenv.2013.07.022Investigation of the sources and seasonal variations of secondary organic aerosols in PM2.5 in Shanghai with organic tracers
resolves10.5194/gmd-3-205-2010Incremental testing of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7
resolves10.1016/j.atmosenv.2012.12.034Emission inventory of primary pollutants and chemical speciation in 2010 for the Yangtze River Delta region, China
resolves10.1016/j.atmosenv.2015.02.009Characterizing the thermodynamic and chemical composition factors controlling PM 2.5 nitrate: Insights gained from two years of online measurements in Hong Kong
resolves10.1016/j.atmosenv.2020.117807Hourly measurements of organic molecular markers in urban Shanghai, China: Observation of enhanced formation of secondary organic aerosol during particulate matter episodic periods
resolves10.1038/nature13774High secondary aerosol contribution to particulate pollution during haze events in China
resolves10.5194/amt-7-4417-2014Online derivatization for hourly measurements of gas- and particle-phase semi-volatile oxygenated organic compounds by thermal desorption aerosol gas chromatography (SV-TAG)
resolves10.1021/es062536bPositive Matrix Factorization (PMF) Analysis of Molecular Marker Measurements to Quantify the Sources of Organic Aerosols
resolves10.1126/science.1075798Heterogeneous Atmospheric Aerosol Production by Acid-Catalyzed Particle-Phase Reactions
resolves10.1016/j.atmosenv.2018.10.038Temporal and spatial variability of traffic-related PM2.5 sources: Comparison of exhaust and non-exhaust emissions
resolves10.1007/s10661-005-9067-7Characterization and Identification of the Sources of Chromium, Zinc, Lead, Cadmium, Nickel, Manganese and Iron in Pm10 Particulates at the Two Sites of Kolkata, India
resolves10.1016/j.atmosenv.2008.01.025Source apportionment of PM2.5: Comparing PMF and CMB results for four ambient monitoring sites in the southeastern United States
resolves10.1016/j.atmosenv.2015.06.051Source apportionment of fine particles and its chemical components over the Yangtze River Delta, China during a heavy haze pollution episode
resolves10.1016/j.atmosenv.2019.116856Study on the contribution of transport to PM2.5 in typical regions of China using the regional air quality model RAMS-CMAQ
resolves10.5194/acp-12-5617-2012Semi-continuous gas and inorganic aerosol measurements at a Finnish urban site: comparisons with filters, nitrogen in aerosol and gas phases, and aerosol acidity
resolves10.1016/j.scitotenv.2018.10.212Uncertainty analysis in source apportionment of heavy metals in road dust based on positive matrix factorization model and geographic information system
resolves10.1002/env.3170050203Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values
resolves10.1016/j.atmosenv.2013.04.028Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: A review
resolves10.1021/es501305kPM<sub>2.5</sub> Constituents and Hospital Emergency-Room Visits in Shanghai, China
resolves10.1016/j.scitotenv.2016.03.095Simultaneous monitoring and compositions analysis of PM1 and PM2.5 in Shanghai: Implications for characterization of haze pollution and source apportionment
resolves10.1016/j.atmosenv.2019.01.044Episode study of fine particle and ozone during the CAPUM-YRD over Yangtze River Delta of China: Characteristics and source attribution
resolves10.5094/APR.2014.003Advanced receptor modeling of near–real–time, ambient PM 2.5 and its associated components collected at an urban–industrial site in Toronto, Ontario
resolves10.5194/acp-15-10149-2015Long-term real-time measurements of aerosol particle composition in Beijing, China: seasonal variations, meteorological effects, and source analysis
resolves10.1021/acsearthspacechem.0c00205Hourly Measurements of Organic Molecular Markers in Urban Shanghai, China: Primary Organic Aerosol Source Identification and Observation of Cooking Aerosol Aging
resolves10.1021/acsearthspacechem.7b00088Impact of Secondary Organic Aerosol Tracers on Tracer-Based Source Apportionment of Organic Carbon and PM<sub>2.5</sub>: A Case Study in the Pearl River Delta, China
resolves10.1029/2017JD027877Source Apportionment of PM<sub>2.5</sub> Using Hourly Measurements of Elemental Tracers and Major Constituents in an Urban Environment: Investigation of Time‐Resolution Influence
resolves10.1016/j.atmosenv.2018.10.057Source apportionment of fine particulate matter in Macao, China with and without organic tracers: A comparative study using positive matrix factorization
resolves10.1080/02786820600754631An In-Situ Instrument for Speciated Organic Composition of Atmospheric Aerosols:<u>T</u>hermal Desorption<u>A</u>erosol<u>G</u>C/MS-FID (TAG)
resolves10.1016/j.atmosenv.2016.08.009Attributing risk burden of PM2.5-bound polycyclic aromatic hydrocarbons to major emission sources: Case study in Guangzhou, south China
resolves10.1016/j.scitotenv.2018.09.021Characteristics and oxidative potential of atmospheric PM2.5 in Beijing: Source apportionment and seasonal variation
resolves10.1016/j.atmosenv.2017.07.030Variations of aerosol size distribution, chemical composition and optical properties from roadside to ambient environment: A case study in Hong Kong, China
resolves10.1016/j.atmosenv.2009.02.047Source apportionment of primary and secondary organic aerosols using positive matrix factorization (PMF) of molecular markers
resolves10.1016/j.atmosenv.2009.07.009Sensitivity of a molecular marker based positive matrix factorization model to the number of receptor observations
resolves10.1080/02786826.2012.747673Development of an <i>In Situ</i> Thermal Desorption Gas Chromatography Instrument for Quantifying Atmospheric Semi-Volatile Organic Compounds
The 2 references without a DOI — listed, not checked
no DOI — not checkedBattelle: Environmental technology verification report, available at: http://cooperenvironmental.com/wp-content/uploads/2014/09/Xact625_ETVReport-full.pdf (last access: 7 September 2020), 2012.
no DOI — not checkedNorris, G., Duvall, R., Brown, S., and Bai, S.: EPA positive matrix
factorization (PMF) 5.0 fundamentals and user guide, U.S. Environmental
Protection Agency, Washington, DC, EPA/600/R-14/108 (NTIS PB2015-105147),
2014.
checked 2026-07-23 — re-checked daily as this page is visited;
titles and statuses come from Crossref and DataCite and are not part of the signed record
Both snippets point at the live badge image and link back to this page. The
badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.