@InProceedings{NgTaiFawSitAra:2022:ImLaUs,
               author = "Ng, Tsin Hung and Tai, Amos P. K. and Fawcett, Dominic and Sitch, 
                         Stephen and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
          affiliation = "{Chinese University of Hong Kong} and {The Chinese University of 
                         Hong Kong} and {University of Exeter} and {University of Exeter} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Impacts of land use change and interannual climate variability on 
                         fire activities, biomass burning emissions and air quality in the 
                         Amazon",
                 year = "2022",
         organization = "AGU Fall Meeting",
            publisher = "AGU",
             abstract = "Wildfire emissions greatly deteriorate regional air quality and 
                         thus threaten human health. Biomass burning in the Amazon has 
                         substantial influence on the surrounding regions where pollution 
                         worsens during the dry season (Jul to Nov). Past research has 
                         shown that wildfire occurrence in Amazon is statistically related 
                         to interannual climate variability (e.g., ENSO) and drought 
                         events, whereas long-term changes in land use (e.g., 
                         deforestation) also greatly modulate fire activities and 
                         emissions. Here we use the Global Fire Emission Database Version 4 
                         (GFED4) and a new emission inventory to drive a global 3-D 
                         atmospheric chemical transport model GEOS-Chem High Performance 
                         (GCHP) to estimate the impacts of deforestation, land degradation, 
                         and ENSO on fire emissions and regional air quality with a 
                         resolution of ~50 km in the Amazon. GFED4 is a global fire 
                         emission inventory that is widely used in past research while the 
                         new emission inventory is developed specifically for the Amazon 
                         region with regional biomass map incorporated. The new emission 
                         inventory distinguishes the emission from dry biomass burned from 
                         different types of fires (e.g., from deforestation vs. land 
                         degradation fires) and provides more accurate mortality and fuel 
                         load factors. We find that fires alone enhance the concentrations 
                         of fine particulate matter (PM2.5), carbon monoxide and ozone by 
                         8.9 \μg m-3, 0.21 ppm and 19 ppb, respectively, in the 2016 
                         dry season (Jul-Nov). With the new emission inventory, we discover 
                         that deforestation has a greater contribution to air pollution in 
                         the southeastern parts of rainforest, whereas degradation has a 
                         greater contribution in the savanna regions. Apart from the fire 
                         types, we compare the regional pollutant average with GFED4 in dry 
                         season between El Niņo, La Niņa, and normal years. PM2.5, carbon 
                         monoxide and ozone are reduced by 0.8%, 10% and 7%, respectively, 
                         during La Niņa dry season than that in El Niņo period. Our study 
                         shows the significance of climate variabilities in shaping the air 
                         quality in Amazon region, and it is important to control not only 
                         deforestation fires but also degradation fires to improve regional 
                         air quality.",
  conference-location = "Chicago, IL",
      conference-year = "12-16 Dec. 2022",
        urlaccessdate = "20 maio 2024"
}