Development and case study of a science-based software platform to support policy making on air quality

Yun Zhu , Yanwen Lao , Carey Jang , Chen-Jen Lin , Jia Xing , Shuxiao Wang , Joshua S. Fu , Shuang Deng , Junping Xie , Shicheng Long


Received February 03, 2014,Revised July 15, 2014, Accepted , Available online January 19, 2015

Volume 27,2015,Pages 97-107

This article describes the development and implementations of a novel software platform that supports real-time, science-based policy making on air quality through a user-friendly interface. The software, RSM-VAT, uses a response surface modeling (RSM) methodology and serves as a visualization and analysis tool (VAT) for three-dimensional air quality data obtained by atmospheric models. The software features a number of powerful and intuitive data visualization functions for illustrating the complex nonlinear relationship between emission reductions and air quality benefits. The case study of contiguous U.S. demonstrates that the enhanced RSM-VAT is capable of reproducing the air quality model results with Normalized Mean Bias < 2% and assisting in air quality policy making in near real time.

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