70-80% of the world's fossil fuel CO2 emissions are attributed to cities, where human activities are concentrated. Yet, surprisingly, we know relatively little about the spatial-temporal distributions of CO2 and air pollution in the cities, in part limited by our ability to monitor the atmosphere at urban scales.
We describe an innovative approach using low-cost, moderate-precision, and smart sensor network to monitor urban environmental, based on a University of Maryland project, named SENSE (sense.umd.edu), with participation of a highly interdisciplinary body of students. Our goal is to eventually set up a dense network of approximately 100 sensors around the Baltimore-Washington Metropolitan Region that provides unprecedentedly high spatial-temporal information on weather, air pollution and greenhouse gases (GHGs) in near real time .
I will also spend 5-10 minutes in the beginning of the seminar to describe some work at UMD under the umbrella of Carbon Cycle, Climate and Ecosystem.
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