Impact of the deposition of different compounds in natural areas of Colombia dispersed from human activity emission sources through atmospheric teleconnections: Initial characterization and analysis of satellite and ground data available. Andrés Yarce Botero
Abstract: The Aburrá Valley (Colombia), due to its poor air quality, is becoming a source of contaminants that escape predominantly to the Northwest South America causing alterations in plant physiology, community structure, and ecosystem services. Satellite-based predicted flows agree with the different methodologies like the weather and atmospheric chemistry composition modelling and reanalysis techniques. Qualitative descriptions are used in this work to understand the transport of contamination. These models are powered by data that come from different satellite platforms, multispectral or infrared spectrometers, UAVs using Synthetic Aperture Radar (SAR), high altitude balloons, rocket-probes, and ground based platforms. The data used for the initial characterization and analysis for our work was acquired from the Monitoring Atmospheric Composition and Climate (MACC) project and the network of ground-based stations from the Early Warning System of the Metropolitan Area (SIATA, for its initials in Spanish). Time-series, frequency and distributional analyses were performed to characterize and understand the data available for this region in preparation for their use in future measures of the impact of the assimilation of the models. For now, we are finding that, the limited spatial resolution of the satellite-based data reinforces the need for additional, strategically placed, monitoring stations to capture the air quality dynamics of a region with a highly complex topographical environment. This work explores the atmospheric contamination teleconnection dynamics to identify the ecosystems with the highest risk of detrimental effects from urban-generated atmospheric pollutants that will give enough criteria to suggest where is necessary to have more measurements to reduce the uncertainty of the models to the maximum. In this presentation, different existing methodologies to measure the transport of pollutants and the mathematical methods to measure the impact of observations to the models are exposed in addition to the initial attempt that was made to characterize and analyze the available data.
Universidad EAFIT. Mayo 15 de 2017