Resumen-The forecast of the dispersion of the biomass burning pollutants in combination with real time fire detection by satellite gives the ability to estimate the impact of biomass burning on the air quality in several colombian cities. The tool we present here was developed as part of the monitoring system of the regional environmental authority, the corporation for the sustainable development of the south of the Amazon, "Corpoamazonia". The air quality in the territory administrated by Corpoamazonia is periodically concerned by wildfires and agriculture burnings that take place inside and outside of the colombian territory. The affected area is too extensive to be monitored by on site observations and also the locations of the sources are random. To address this problem we acquire the active fire data observed by satellite in real time and introduce it into the WRF-Chem initial conditions. The resulting forecast is available on the WEB page of Corpoamazonia since december of 2019. In the further chapters we investigate the utility of the tool by simulating the peaks of the black carbon concentration observed in the monitoring system of Bogotá betwen $17^{t h}$ and $20^{t h}$ of march, 2021. The forecast shows the expansion of the black carbon and $P M_{2,5}$ plume reaching the Bogotá Savannah we analize the meteorological conditions by which the plume we analize the meteorological conditions by which the plume expanded. As a countertest we repeated the same simulation without introducing the real time fire data. In spite it was without introducing the real time fire data. In spite it was Orinoco Bassin during these davs, satellite observations show a high concentration of fires in the northwest of Colombia. Accordingly, our simulation reproduces the increase of the pollution in Bogotá as the plume is advected from the northwest. As part of the development of this tool it was necessary to modify the source code of the model in order to acquire the satellite data from current sources. The result is the first operational air quality forecast based on WRF-Chem in Colombia.