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because of the importance of clean air and the abundance of studies showing the adverse effect of pollution on human health we will be studying air quality conditions in a large urban area specifically Chicago our primary data source will be taken from the array of things a network of 100 sensor packages scattered throughout the city which include among other things air particle sensors the number and range of the t nodes encompasses the living area of approximately 80 percent of the population of Chicago while previous efforts have been made to quantify the impact of air pollution on the citys population reports are often aggregated to zip code or neighborhood and often exclude large swaths of the city most notably downtown our algorithm will be designed to calculate air quality and health risk assessments down to a street or address level the project will culminate in an interactive online dashboard which will allow the user to enter an address or location and receive the aggrega
