Michael L. Core, E. Fisher, John D. Morgan, B. Ramachandran, Samrutha Vakiti
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Lights-Out After Hurricane Michael: A Spatially Informed Bayesian Network Analysis of Power Outages
abstract:Historically, dense vegetation cover near buildings has caused power disruptions during weather phenomena. These types of severe storms impact the coast of Florida each year. However, challenges exist for obtaining both power outage data and calculating the impact of tree cover. NASA's Nighttime Lights, Black Marble, VNP46 product is utilized to analyze the natural and built environments. One aspect of the built environment that can be mapped with the Black Marble data is the megawatts of electricity used by the electrical power grid based on the magnitude of emitted nighttime light energy. This paper discusses using Black Marble data and other landscape variables within a probabilistic model to examine spatial patterns and map electricity outages with Bayesian networks. The research results indicate a high probability of a significant power outage when dense vegetation is present, but nuances in our natural and built environments like electric substations and land cover type alter the chance of reducing energy emissions.
期刊介绍:
The Southeastern Geographer is a biannual publication of the Southeastern Division of Association of American Geographers. The journal has published the academic work of geographers and other social and physical scientists since 1961. Peer-reviewed articles and essays are published along with book reviews, organization and conference reports, and commentaries. The journal welcomes manuscripts on any geographical subject as long as it reflects sound scholarship and contains significant contributions to geographical understanding.