Posters

Posters

1. A Bayesian hierarchical model for localizing and quantifying multi-source methane emissions on oil and gas sites using continuous monitoring systems.
   William Daniels, Meng Jia, Dorit Hammerling.
   AGU Fall Meeting, (2024).
   [AGU] [PDF]
   
   
2. Estimating methane emission durations using continuous monitoring systems.
   William Daniels, Meng Jia, Dorit Hammerling.
   AGU Fall Meeting, (2024).
   [AGU] [PDF]
   
   
3. Estimating methane emission durations using continuous monitoring systems.
   William Daniels, Meng Jia, Dorit Hammerling.
   American Chemical Society (ACS) Fall Meeting, Sci-Mix Invited Poster Session, (2024).
   [PDF]
   
   
4. Sampling frequency strategies for methane emissions from oil and gas.
   Olga Khaliukova, William Daniels, Dorit Hammerling.
   Mines Graduate Research and Discovery Symposium (GRADS), (2024).
   [PDF]
   
   
5. Estimating methane emission durations using continuous monitoring systems.
   William Daniels, Spencer Kidd, Michael Basanese, Dorit Hammerling.
   Responsible Gas Symposium, (2024).
   [PDF]
   
   
6. Using continuous monitoring systems for measurement-informed inventories on oil and gas production sites.
   William Daniels, Dorit Hammerling.
   Responsible Gas Symposium, (2024).
   [PDF]
   
   
7. Detection, localization, and quantification of single-source methane emissions on oil and gas production sites using point-in-space continuous monitoring systems.
   Meng Jia, William Daniels, Dorit Hammerling.
   Responsible Gas Symposium, (2024).
   [PDF]
   
   
8. Using continuous monitoring systems for measurement-informed inventories on oil and gas production sites.
   William Daniels.
   Energy Emissions Modeling and Data Lab (EEMDL) Annual Conference, (2023).
   [PDF]
   
   
9. Using continuous methane measurements for inventory development on oil and gas sites: three case studies.
   William Daniels, Meng Jia, Dorit Hammerling.
   International Indian Statistical Association (IISA) Conference, (2023).
   [PDF]
   
   
10. Methane emission detection, localization, and quantification using continuous point-sensors on oil and gas facilities.
    Meng Jia, William Daniels, Dorit Hammerling.
    International Indian Statistical Association (IISA) Conference, (2023).
    [PDF]
    
    
11. Using continuous monitoring systems for data-driven methane emissions inventories for oil and gas facilities.
    William Daniels, Meng Jia, Dorit Hammerling.
    Mines Applied Mathematics and Statistics (AMS) Open House, (2023).
    [PDF]
    
    
12. Methane emission detection, localization, and quantification using continuous point-sensors on oil and gas facilities.
    Meng Jia, William Daniels, Dorit Hammerling.
    Mines Applied Mathematics and Statistics (AMS) Open House, (2023).
    [PDF]
    
    
13. Seasonal and hourly variability of particulate matter 2.5 in Denver.
    Zi Li, William Daniels, Dorit Hammerling.
    Mines Undergraduate Research Symposium, (2022).
    [PDF]
    
    
14. Data-driven detection of methane leaks from oil and gas.
    Meng Jia, William Daniels, Amber Rexwinkle, Dorit Hammerling.
    Mines Applied Mathematics and Statistics (AMS) Open House, (2022).
    [PDF]
    
    
15. Using climate mode indices to forecast carbon monoxide variability in fire-prone Southern Hemisphere regions.
    William Daniels, Dorit Hammerling, Rebecca Buchholz, Helen Worden, Fatimah Ahamad.
    International Global Atmospheric Chemistry (IGAC) 16th Scientific Conference - Southern Hemispheres Session, (2021).
    [PDF]
    
    
16. Student-led investigation of TROPOMI data for the US.
    Dorit Hammerling, Lewis Blake, William Daniels, Aidan Dykstal, Sean Crowell.
    European Geosciences Union (EGU) General Assembly, (2020).
    [EGU] [PDF]
    
    
17. Genetic algorithm optimization study for atmospheric carbon monoxide models.
    Meera Duggal, William Daniels, Dorit Hammerling.
    Mines Undergraduate Research Symposium, (2020).
    [Mines] [PDF]
    
    
18. Improving atmospheric carbon monoxide models.
    William Daniels, Dorit Hammerling, Rebecca Buchholz.
    Mines Applied Mathematics and Statistics (AMS) Open House, (2019).
    [PDF]
    
    
19. What can elves tell us about very strong lightning?.
    William Daniels, Kevin-Druis Merenda, Lawrence Wiencke.
    Physics Undergraduate Research Symposium, (2019).
    [PDF]
    
    
20. Characterization of molecular structure and interlinkage network for seven representative biorefinery lignin.
    William Daniels, Ruoshui Ma, Xiao Zhang.
    Northwest Advanced Renewables Alliance (NARA) Summer Undergraduate Research Experience (SURE), (2016).
    [PDF]