56 citations as recorded by crossref.

1. Importance of Superemitter Natural Gas Well Pads in the Marcellus Shale D. Caulton et al. 10.1021/acs.est.8b06965
2. Development and validation of a route planning methodology for vehicle-based remote measurements of methane and other emissions from oil and gas wells and facilities M. Gao et al. 10.1080/10962247.2022.2113182
3. Uncertainty in the Mobile Observation of Wind E. Leibensperger et al. 10.3390/atmos14050765
4. Contributing to a Greener New York: Analysis of Methane Emissions in New York State M. Weil et al. 10.1063/10.0022471
5. Design, Build, and Initial Testing of a Portable Methane Measurement Platform S. Riddick et al. 10.3390/s25071954
6. Methane Emission Estimation of Oil and Gas Sector: A Review of Measurement Technologies, Data Analysis Methods and Uncertainty Estimation S. Sun et al. 10.3390/su132413895
7. Stationary and drone-assisted methane plume localization with dispersion spectroscopy M. Soskind et al. 10.1016/j.rse.2023.113513
8. Evaluation of two common source estimation measurement strategies using large-eddy simulation of plume dispersion under neutral atmospheric conditions A. Ražnjević et al. 10.5194/amt-15-3611-2022
9. A Review of Offshore Methane Quantification Methodologies S. Riddick et al. 10.3390/atmos16050626
10. Methane and ethane emission quantifications from onshore oil and gas sites in Romania, using a tracer gas dispersion method A. Delre et al. 10.1525/elementa.2021.000111
11. Quantifying Methane Emission Rates Using Downwind Measurements S. Riddick 10.3390/encyclopedia5020057
12. Optimizing an airborne mass-balance methodology for accurate emission rate quantification of industrial facilities: A case study of industrial facilities in South Korea G. Wong et al. 10.1016/j.scitotenv.2023.169204
13. A review of close-range and screening technologies for mitigating fugitive methane emissions in upstream oil and gas T. Fox et al. 10.1088/1748-9326/ab0cc3
14. Abnormal tank emissions in the Permian Basin identified using ethane to methane ratios D. Caulton et al. 10.1525/elementa.2022.00121
15. Determining methane mole fraction at a landfill site using the Figaro Taguchi gas sensor 2611-C00 and wind direction measurements A. Shah et al. 10.1039/D3EA00138E
16. Mobile atmospheric measurements and local-scale inverse estimation of the location and rates of brief CH4 and CO2 releases from point sources P. Kumar et al. 10.5194/amt-14-5987-2021
17. Breakthroughs in CH4 capture technologies: Key to reducing fugitive methane emissions in the energy sector W. Deng et al. 10.1016/j.ccst.2024.100316
18. Developing Measurement-Informed Methane Emissions Inventory Estimates at Midstream Compressor Stations A. Ravikumar et al. 10.1021/acsestair.4c00237
19. Methane mapping, emission quantification, and attribution in two European cities: Utrecht (NL) and Hamburg (DE) H. Maazallahi et al. 10.5194/acp-20-14717-2020
20. A quantitative comparison of methods used to measure smaller methane emissions typically observed from superannuated oil and gas infrastructure S. Riddick et al. 10.5194/amt-15-6285-2022
21. Locating and quantifying CH4 sources within a wastewater treatment plant based on mobile measurements J. Yang et al. 10.5194/acp-25-4571-2025
22. Quantification of greenhouse gas emissions from a municipal solid waste incinerator using an uncrewed aerial vehicle K. Kim et al. 10.1016/j.envint.2025.109396
23. Variability of Ammonia and Methane Emissions from Animal Feeding Operations in Northeastern Colorado L. Golston et al. 10.1021/acs.est.0c00301
24. Comparison of Sub-Ppm Instrument Response Suggests Higher Detection Limits Could Be Used to Quantify Methane Emissions from Oil and Gas Infrastructure S. Riddick et al. 10.3390/s24113407
25. Mobile sampling of methane emissions from natural gas well pads in California X. Zhou et al. 10.1016/j.atmosenv.2020.117930
26. Addressing Low-Cost Methane Sensor Calibration Shortcomings with Machine Learning E. Kiplimo et al. 10.3390/atmos15111313
27. Can new mobile technologies enable fugitive methane reductions from the oil and gas industry? T. Fox et al. 10.1088/1748-9326/ac0565
28. A Graphics Processing Unit (GPU) Approach to Large Eddy Simulation (LES) for Transport and Contaminant Dispersion P. Bieringer et al. 10.3390/atmos12070890
29. Estimation of methane emission from an urban wastewater treatment plant applying inverse Gaussian model C. Stadler et al. 10.1007/s10661-021-09660-4
30. Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems B. Martinez et al. 10.3390/s20020454
31. Ozone Detection via Deep-Ultraviolet Cavity-Enhanced Absorption Spectroscopy with a Laser Driven Light Source A. Puga & A. Yalin 10.3390/s23114989
32. Reconciling a national methane emission inventory with in-situ measurements Y. Liu et al. 10.1016/j.scitotenv.2023.165896
33. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
34. Controlled-release experiment to investigate uncertainties in UAV-based emission quantification for methane point sources R. Morales et al. 10.5194/amt-15-2177-2022
35. The evolution of environmental forensics: From laboratory to field analysis V. Spikmans 10.1002/wfs2.1334
36. Open-path cavity ring-down methane sensor for mobile monitoring of natural gas emissions L. Mchale et al. 10.1364/OE.27.020084
37. Quantification of methane emission rate from oil and gas wells in Romania using ground-based measurement techniques P. Korbeń et al. 10.1525/elementa.2022.00070
38. Gathering Pipeline Methane Emissions in Utica Shale Using an Unmanned Aerial Vehicle and Ground-Based Mobile Sampling H. Li et al. 10.3390/atmos11070716
39. Using controlled subsurface releases to investigate the effect of leak variation on above-ground natural gas detection M. Mbua et al. 10.1016/j.jgsce.2023.205153
40. Estimating methane emissions from underground natural gas pipelines using an atmospheric dispersion-based method S. Tian et al. 10.1525/elementa.2022.00045
41. Quantifying CH4 concentration spikes above baseline and attributing CH4 sources to hydraulic fracturing activities by continuous monitoring at an off-site tower S. Russell et al. 10.1016/j.atmosenv.2020.117452
42. Technical note: Interpretation of field observations of point-source methane plume using observation-driven large-eddy simulations A. Ražnjević et al. 10.5194/acp-22-6489-2022
43. Ethylene Oxide Exposure Attribution and Emissions Quantification Based on Ambient Air Measurements near a Sterilization Facility E. Olaguer et al. 10.3390/ijerph17010042
44. Fugitive and vented methane emissions surveying on the Weyburn CO2-EOR field in southeastern Saskatchewan, Canada K. MacKay et al. 10.1016/j.ijggc.2019.05.032
45. Underestimation of Sector-Wide Methane Emissions from United States Wastewater Treatment D. Moore et al. 10.1021/acs.est.2c05373
46. A methane emissions reduction equivalence framework for alternative leak detection and repair programs T. Fox et al. 10.1525/elementa.369
47. Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach A. Wigle et al. 10.1021/acsestair.4c00030
48. On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis A. Montazeri et al. 10.3390/s21175683
49. Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
50. Potential Underestimate in Reported Bottom-up Methane Emissions from Oil and Gas Operations in the Delaware Basin S. Riddick et al. 10.3390/atmos15020202
51. Constraining the accuracy of flux estimates using OTM 33A R. Edie et al. 10.5194/amt-13-341-2020
52. Quantification of methane emissions from UK biogas plants S. Bakkaloglu et al. 10.1016/j.wasman.2021.01.011
53. A Bayesian technique for quantifying methane emissions using vehicle-mounted sensors with a Gaussian plume model D. Blackmore et al. 10.1016/j.atmosenv.2024.121002
54. A modeling framework to assess fenceline monitoring and self-reported upset emissions of benzene from multiple oil refineries in Texas Q. Li et al. 10.1016/j.aeaoa.2024.100281
55. Evaluating Methods To Estimate Methane Emissions from Oil and Gas Production Facilities Using LES Simulations P. Saide et al. 10.1021/acs.est.8b01767
56. Methane emissions from conventional and unconventional oil and gas production sites in southeastern Saskatchewan, Canada J. Baillie et al. 10.1088/2515-7620/ab01f2