Statistical modelling of air quality impacts from individual forest fires in New South Wales, Australia

نویسندگان

چکیده

Abstract. Wildfires and hazard reduction burns produce smoke that contains pollutants including particulate matter. Particulate matter less than 2.5 µm in diameter (PM2.5) is harmful to human health, potentially causing cardiovascular respiratory issues can lead premature deaths. PM2.5 levels depend on environmental conditions, fire behaviour dispersal patterns. Fire management agencies need understand predict associated with a particular so pollution warnings be sent communities and/or timed avoid the worst conditions for pollution. We modelled PM2.5, measured at air quality stations New South Wales (Australia) from ∼ 1400 d when individual fires were burning near stations, as function of weather variables. Using Visible Infrared Imaging Radiometer Suite (VIIRS) satellite hotspots, we identified days one was within 150 km least 1 48 stations. extracted ERA5 gridded data daily active area estimates hotspots our modelling. created random forest models afternoon, night morning drivers PM2.5. boundary layer height important predictors across models, temperature, wind speed relative humidity also being important. There strong increase decreasing distance, sharp 20 km. The improve understanding demonstrate promising approach model development. However, although predicted well overall, there several large under-predictions mean further development would required deployed operationally.

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ژورنال

عنوان ژورنال: Natural Hazards and Earth System Sciences

سال: 2022

ISSN: ['1561-8633', '1684-9981']

DOI: https://doi.org/10.5194/nhess-22-4039-2022