Society faces the need to overhaul energy and transportation systems to meet climate
change and other challenges. These decisions typically have very large “co-benefits” in
terms of air quality improvements. Over the past decades, engineers have developed
detailed three-dimensional chemical transport models (CTMs) that predict ambient air
pollution concentrations from emissions, atmospheric transport, and known chemical
processes. These CTMs have been used by the US EPA for regulatory planning but
are generally too unwieldy and computationally demanding for many systems-level
planning purposes, especially ones where rapid screening or uncertainty analysis are
required. Although several reduced-form tools have been developed, these are either
based on very simple air quality models or lack seasonal and spatial detail in their
results. This seminar will present recent results from our group that derives air pollution
impact metrics with seasonal and spatial resolution using a state-of-the-art CTM.
- Tags
-