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Connection

Michael Hannigan to Environmental Monitoring

This is a "connection" page, showing publications Michael Hannigan has written about Environmental Monitoring.

 
Connection Strength
 
 
 
2.314
 
  1. Casey JG, Ortega J, Coffey E, Hannigan M. Low-cost measurement techniques to characterize the influence of home heating fuel on carbon monoxide in Navajo homes. Sci Total Environ. 2018 Jun 01; 625:608-618.
    View in: PubMed
    Score: 0.523
  2. Piedrahita R, Kanyomse E, Coffey E, Xie M, Hagar Y, Alirigia R, Agyei F, Wiedinmyer C, Dickinson KL, Oduro A, Hannigan M. Exposures to and origins of carbonaceous PM2.5 in a cookstove intervention in Northern Ghana. Sci Total Environ. 2017 Jan 15; 576:178-192.
    View in: PubMed
    Score: 0.482
  3. Li R, Wiedinmyer C, Hannigan MP. Contrast and correlations between coarse and fine particulate matter in the United States. Sci Total Environ. 2013 Jul 01; 456-457:346-58.
    View in: PubMed
    Score: 0.378
  4. Okorn K, Jimenez A, Collier-Oxandale A, Johnston J, Hannigan M. Characterizing methane and total non-methane hydrocarbon levels in Los Angeles communities with oil and gas facilities using air quality monitors. Sci Total Environ. 2021 Jul 10; 777.
    View in: PubMed
    Score: 0.163
  5. Pfotenhauer DJ, Coffey ER, Piedrahita R, Agao D, Alirigia R, Muvandimwe D, Lacey F, Wiedinmyer C, Dickinson KL, Dalaba M, Kanyomse E, Oduro A, Hannigan MP. Updated Emission Factors from Diffuse Combustion Sources in Sub-Saharan Africa and Their Effect on Regional Emission Estimates. Environ Sci Technol. 2019 06 04; 53(11):6392-6401.
    View in: PubMed
    Score: 0.144
  6. Xie M, Chen X, Holder AL, Hays MD, Lewandowski M, Offenberg JH, Kleindienst TE, Jaoui M, Hannigan MP. Light absorption of organic carbon and its sources at a southeastern U.S. location in summer. Environ Pollut. 2019 Jan; 244:38-46.
    View in: PubMed
    Score: 0.138
  7. Shamasunder B, Collier-Oxandale A, Blickley J, Sadd J, Chan M, Navarro S, Hannigan M, Wong NJ. Community-Based Health and Exposure Study around Urban Oil Developments in South Los Angeles. Int J Environ Res Public Health. 2018 01 15; 15(1).
    View in: PubMed
    Score: 0.131
  8. Oakes MM, Baxter LK, Duvall RM, Madden M, Xie M, Hannigan MP, Peel JL, Pachon JE, Balachandran S, Russell A, Long TC. Comparing multipollutant emissions-based mobile source indicators to other single pollutant and multipollutant indicators in different urban areas. Int J Environ Res Public Health. 2014 Nov 14; 11(11):11727-52.
    View in: PubMed
    Score: 0.105
  9. Xie M, Hannigan MP, Barsanti KC. Gas/particle partitioning of 2-methyltetrols and levoglucosan at an urban site in Denver. Environ Sci Technol. 2014; 48(5):2835-42.
    View in: PubMed
    Score: 0.100
  10. Brinkman G, Vance G, Hannigan MP, Milford JB. Use of synthetic data to evaluate positive matrix factorization as a source apportionment tool for PM2.5 exposure data. Environ Sci Technol. 2006 Mar 15; 40(6):1892-901.
    View in: PubMed
    Score: 0.058
  11. Kim SY, Dutton SJ, Sheppard L, Hannigan MP, Miller SL, Milford JB, Peel JL, Vedal S. The short-term association of selected components of fine particulate matter and mortality in the Denver Aerosol Sources and Health (DASH) study. Environ Health. 2015 Jun 06; 14:49.
    View in: PubMed
    Score: 0.027
  12. Xie M, Hannigan MP, Barsanti KC. Impact of gas/particle partitioning of semivolatile organic compounds on source apportionment with positive matrix factorization. Environ Sci Technol. 2014 Aug 19; 48(16):9053-60.
    View in: PubMed
    Score: 0.026
  13. Xie M, Hannigan MP, Dutton SJ, Milford JB, Hemann JG, Miller SL, Schauer JJ, Peel JL, Vedal S. Positive matrix factorization of PM(2.5): comparison and implications of using different speciation data sets. Environ Sci Technol. 2012 Nov 06; 46(21):11962-70.
    View in: PubMed
    Score: 0.023
  14. Riddle SG, Robert MA, Jakober CA, Hannigan MP, Kleeman MJ. Size distribution of trace organic species emitted from light-duty gasoline vehicles. Environ Sci Technol. 2007 Nov 01; 41(21):7464-71.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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