Health effects of urban heat islands with changing climate w/personal monitoring devices
Intellectual merit and significance:
The air temperature in urban areas is often several degrees higher than in non-urban areas. This increased heat-island effect poses health risks  exacerbated by climate change. Quantifying risk at the local level (sub-city) is vital for developing mitigation strategies.
Unfortunately, standard meteorological data streams are not sufficient to provide reliable local risk estimates. We propose to supplement the analysis using personal monitoring devices, such as PurpleAir devices  widely used by citizen scientists across the US. Using this new data source will vastly increase data quantity but fusing these data with standardized meteorological data poses statistical challenges.
Building on the methods in Yang et al.  for the air quality in wildland fire episodes, students will harmonize data streams, developing a hierarchical Bayesian spatial model to map the urban heat island effects while accounting for bias and uncertainty in the personal monitoring device data.
Refined estimate of urban heat island and their associated health effects across US cities.
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