@article{johnson_garcia-menendez_2023, title={A comparison of smoke modelling tools used to mitigate air quality impacts from prescribed burning}, volume={5}, ISSN={["1448-5516"]}, url={https://doi.org/10.1071/WF22172}, DOI={10.1071/WF22172}, abstractNote={Background   Prescribed fire is a land management tool used extensively across the United States. Owing to health and safety risks, smoke emitted by burns requires appropriate management. Smoke modelling tools are often used to mitigate air pollution impacts. However, direct comparisons of tools’ predictions are lacking.     Aims   We compared three tools commonly used to plan prescribed burning projects: the Simple Smoke Screening Tool, VSmoke and HYSPLIT.     Methods   We used each tool to model smoke dispersion from prescribed burns conducted by the North Carolina Division of Parks and Recreation over a year. We assessed similarity among the tools’ predicted smoke fields, areas of concern and potential population impacts.     Key results   The total smoke area predicted by the tools differs by thousands of square kilometres and, as such, spatial agreement was low. When translated into numbers of residents potentially exposed to smoke, tool estimates can vary by an order of magnitude.     Conclusions   Our analysis of an operational burning program suggests that the differences among the tools are significant and inconsistent.     Implications   While our analysis shows that improved and more consistent smoke modelling tools could better support land management, clear guidelines on how to apply their predictions are also necessary to obtain these benefits.}, journal={INTERNATIONAL JOURNAL OF WILDLAND FIRE}, author={Johnson, Megan M. and Garcia-Menendez, Fernando}, year={2023}, month={May} }
 @article{johnson_garcia-menendez_2022, title={Uncertainty in Health Impact Assessments of Smoke From a Wildfire Event}, volume={6}, ISSN={["2471-1403"]}, url={https://doi.org/10.1029/2021GH000526}, DOI={10.1029/2021GH000526}, abstractNote={Abstract}, number={1}, journal={GEOHEALTH}, publisher={American Geophysical Union (AGU)}, author={Johnson, Megan M. and Garcia-Menendez, Fernando}, year={2022}, month={Jan} }