Articles | Volume 11, issue 16
https://doi.org/10.5194/acp-11-8809-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-11-8809-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
High concentrations of coarse particles emitted from a cattle feeding operation
N. Hiranuma
Department of Atmospheric Sciences, Texas A&M University, 3150 TAMU, College Station, Texas 77843-3150, USA
now at: Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, USA
S. D. Brooks
Department of Atmospheric Sciences, Texas A&M University, 3150 TAMU, College Station, Texas 77843-3150, USA
J. Gramann
Department of Atmospheric Sciences, Texas A&M University, 3150 TAMU, College Station, Texas 77843-3150, USA
B. W. Auvermann
Texas AgriLife Research, 6500 Amarillo Blvd W., Amarillo, Texas 79106, USA
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35 citations as recorded by crossref.
- Raman spectra of atmospheric particles measured in Maryland, USA over 22.5 h using an automated aerosol Raman spectrometer D. Doughty & S. Hill https://doi.org/10.1016/j.jqsrt.2020.106839
- Laboratory and field studies of ice-nucleating particles from open-lot livestock facilities in Texas N. Hiranuma et al. https://doi.org/10.5194/acp-21-14215-2021
- Persistence of elevated concentrations of PM, affiliated pharmaceuticals, and tetracycline resistance genes downwind of feedyards K. Wooten et al. https://doi.org/10.1016/j.envpol.2018.12.047
- Size, Composition, and Source Profiles of Inhalable Bioaerosols from Colorado Dairies J. Schaeffer et al. https://doi.org/10.1021/acs.est.7b00882
- A drone-based rotating cascade impactor for single-particle analysis: Advancing aerosol mixing state research S. Lee et al. https://doi.org/10.1016/j.atmosres.2025.108259
- Raman spectra of atmospheric aerosol particles: Clusters and time-series for a 22.5 hr sampling period D. Doughty & S. Hill https://doi.org/10.1016/j.jqsrt.2020.106907
- Utilizing single particle Raman microscopy as a non-destructive method to identify sources of PM10 from cattle feedlot operations Q. Huang et al. https://doi.org/10.1016/j.atmosenv.2012.08.030
- Calibration and evaluation of a broad supersaturation scanning (BS2) cloud condensation nuclei counter for rapid measurement of particle hygroscopicity and cloud condensation nuclei (CCN) activity N. Kim et al. https://doi.org/10.5194/amt-14-6991-2021
- USEPA CALPUFF validation and dispersion modeling of beef cattle feedlot PM10 and PM2.5 emissions factors A. Emert et al. https://doi.org/10.1016/j.atmosenv.2023.120189
- Investigation of the potential and mechanism of clove for mitigating airborne particulate matter emission from stationary sources J. Tong et al. https://doi.org/10.1016/S1672-6529(16)60407-9
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- Direct Measurement of Adhesion Force of Individual Aerosol Particles by Atomic Force Microscopy K. Ono et al. https://doi.org/10.3390/atmos11050489
- Applications in: Environmental Analytics (fine particles) M. Lankers https://doi.org/10.1515/psr-2018-0178
- Endotoxin and particulate matter emitted by livestock farms and respiratory health effects in neighboring residents M. de Rooij et al. https://doi.org/10.1016/j.envint.2019.105009
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- Health and Safety Effects of Airborne Soil Dust in the Americas and Beyond D. Tong et al. https://doi.org/10.1029/2021RG000763
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- Comprehensive Analysis of E. coli, Enterococcus spp., Salmonella enterica, and Antimicrobial Resistance Determinants in Fugitive Bioaerosols from Cattle Feedyards I. Leon et al. https://doi.org/10.3390/applmicrobiol5030063
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- Tracking antibiotic resistance through the environment near a biosolid spreading ground: Resistome changes, distribution, and metal(loid) co-selection W. Hung et al. https://doi.org/10.1016/j.scitotenv.2022.153570
- Grand Challenges in Understanding the Interplay of Climate and Land Changes S. Liu et al. https://doi.org/10.1175/EI-D-16-0012.1
- Unraveling Biological Particles in High-Altitude Terrain with Machine Learning: Implications for Ice Cloud Formation A. Rahman et al. https://doi.org/10.1021/acsestair.5c00436
- Particulate matter dynamics in naturally ventilated freestall dairy barns H. Joo et al. https://doi.org/10.1016/j.atmosenv.2012.12.006
- Using Raman Microspectroscopy to Determine Chemical Composition and Mixing State of Airborne Marine Aerosols over the Pacific Ocean C. Deng et al. https://doi.org/10.1080/02786826.2013.867297
- Ice-nucleating particles in precipitation samples from the Texas Panhandle H. Vepuri et al. https://doi.org/10.5194/acp-21-4503-2021
35 citations as recorded by crossref.
- Raman spectra of atmospheric particles measured in Maryland, USA over 22.5 h using an automated aerosol Raman spectrometer D. Doughty & S. Hill https://doi.org/10.1016/j.jqsrt.2020.106839
- Laboratory and field studies of ice-nucleating particles from open-lot livestock facilities in Texas N. Hiranuma et al. https://doi.org/10.5194/acp-21-14215-2021
- Persistence of elevated concentrations of PM, affiliated pharmaceuticals, and tetracycline resistance genes downwind of feedyards K. Wooten et al. https://doi.org/10.1016/j.envpol.2018.12.047
- Size, Composition, and Source Profiles of Inhalable Bioaerosols from Colorado Dairies J. Schaeffer et al. https://doi.org/10.1021/acs.est.7b00882
- A drone-based rotating cascade impactor for single-particle analysis: Advancing aerosol mixing state research S. Lee et al. https://doi.org/10.1016/j.atmosres.2025.108259
- Raman spectra of atmospheric aerosol particles: Clusters and time-series for a 22.5 hr sampling period D. Doughty & S. Hill https://doi.org/10.1016/j.jqsrt.2020.106907
- Utilizing single particle Raman microscopy as a non-destructive method to identify sources of PM10 from cattle feedlot operations Q. Huang et al. https://doi.org/10.1016/j.atmosenv.2012.08.030
- Calibration and evaluation of a broad supersaturation scanning (BS2) cloud condensation nuclei counter for rapid measurement of particle hygroscopicity and cloud condensation nuclei (CCN) activity N. Kim et al. https://doi.org/10.5194/amt-14-6991-2021
- USEPA CALPUFF validation and dispersion modeling of beef cattle feedlot PM10 and PM2.5 emissions factors A. Emert et al. https://doi.org/10.1016/j.atmosenv.2023.120189
- Investigation of the potential and mechanism of clove for mitigating airborne particulate matter emission from stationary sources J. Tong et al. https://doi.org/10.1016/S1672-6529(16)60407-9
- Insights into Livestock-Related Microbial Concentrations in Air at Residential Level in a Livestock Dense Area M. de Rooij et al. https://doi.org/10.1021/acs.est.8b07029
- Livestock and poultry density and childhood cancer incidence in nine states in the USA B. Booth et al. https://doi.org/10.1016/j.envres.2017.08.023
- Effectiveness of portable HEPA air cleaners on reducing indoor endotoxin, PM 10, and coarse particulate matter in an agricultural cohort of children with asthma: A randomized intervention trial A. Riederer et al. https://doi.org/10.1111/ina.12858
- Automated aerosol Raman spectrometer for semi-continuous sampling of atmospheric aerosol D. Doughty & S. Hill https://doi.org/10.1016/j.jqsrt.2016.06.042
- Tracking Antibiotic Resistance Through the Environment Near a Biosolid Spreading Ground: Resistome Changes, Distribution, and Metal(Loid) Co-Selection W. HUNG et al. https://doi.org/10.2139/ssrn.3969068
- Direct Measurement of Adhesion Force of Individual Aerosol Particles by Atomic Force Microscopy K. Ono et al. https://doi.org/10.3390/atmos11050489
- Applications in: Environmental Analytics (fine particles) M. Lankers https://doi.org/10.1515/psr-2018-0178
- Endotoxin and particulate matter emitted by livestock farms and respiratory health effects in neighboring residents M. de Rooij et al. https://doi.org/10.1016/j.envint.2019.105009
- Characterization of individual ice residual particles by the single droplet freezing method: a case study in the Asian dust outflow region A. Iwata & A. Matsuki https://doi.org/10.5194/acp-18-1785-2018
- Atmospheric transport of particulate matter and particulate-bound agrochemicals from beef cattle feedlots: Human health implications for downwind agricultural communities A. Emert et al. https://doi.org/10.1016/j.scitotenv.2023.164678
- The role of surface-active macromolecules in the ice-nucleating ability of lignin, Snomax, and agricultural soil extracts K. Alden et al. https://doi.org/10.5194/acp-25-6179-2025
- Aerosol Physicochemical Mixing State and Cloud Nucleation Potential during Tracking Aerosol Convection Interactions Experiment (TRACER) Campaign Z. Lei et al. https://doi.org/10.1021/acs.est.5c03508
- Health and Safety Effects of Airborne Soil Dust in the Americas and Beyond D. Tong et al. https://doi.org/10.1029/2021RG000763
- Comparisons of urban and rural PM10−2.5 and PM2.5 mass concentrations and semi-volatile fractions in northeastern Colorado N. Clements et al. https://doi.org/10.5194/acp-16-7469-2016
- Real-time sensing of bioaerosols: Review and current perspectives J. Huffman et al. https://doi.org/10.1080/02786826.2019.1664724
- PM10 emission from feedlots in soils with different texture: Cattle trampling effect L. de Oro et al. https://doi.org/10.1016/j.aeolia.2021.100742
- Comprehensive Analysis of E. coli, Enterococcus spp., Salmonella enterica, and Antimicrobial Resistance Determinants in Fugitive Bioaerosols from Cattle Feedyards I. Leon et al. https://doi.org/10.3390/applmicrobiol5030063
- Ractopamine in particulate matter emitted from beef cattle feedyards and playa wetlands in the Central Plains K. Wooten et al. https://doi.org/10.1002/etc.4036
- Antibiotics, Bacteria, and Antibiotic Resistance Genes: Aerial Transport from Cattle Feed Yards via Particulate Matter A. McEachran et al. https://doi.org/10.1289/ehp.1408555
- Tracking antibiotic resistance through the environment near a biosolid spreading ground: Resistome changes, distribution, and metal(loid) co-selection W. Hung et al. https://doi.org/10.1016/j.scitotenv.2022.153570
- Grand Challenges in Understanding the Interplay of Climate and Land Changes S. Liu et al. https://doi.org/10.1175/EI-D-16-0012.1
- Unraveling Biological Particles in High-Altitude Terrain with Machine Learning: Implications for Ice Cloud Formation A. Rahman et al. https://doi.org/10.1021/acsestair.5c00436
- Particulate matter dynamics in naturally ventilated freestall dairy barns H. Joo et al. https://doi.org/10.1016/j.atmosenv.2012.12.006
- Using Raman Microspectroscopy to Determine Chemical Composition and Mixing State of Airborne Marine Aerosols over the Pacific Ocean C. Deng et al. https://doi.org/10.1080/02786826.2013.867297
- Ice-nucleating particles in precipitation samples from the Texas Panhandle H. Vepuri et al. https://doi.org/10.5194/acp-21-4503-2021
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