TY - JOUR ID - 10.1016/j.jes.2014.08.016 TI - Development and case study of a science-based software platform to support policy making on air quality AU - Yun Zhu AU - Yanwen Lao AU - Carey Jang AU - Chen-Jen Lin AU - Jia Xing AU - Shuxiao Wang AU - Joshua S. Fu AU - Shuang Deng AU - Junping Xie and Shicheng Long VL - 27 IS - 1 PB - SP - 97 EP - 107 PY - JF - Journal of Environmental Sciences JA - J. Environ. Sci. UR - http://www.jesc.ac.cn/jesc_en/ch/reader/view_abstract.aspx?file_no=2015270111&flag=1 KW - Air quality;Policy making;Response surface modeling;Emission control scenarios;Data visualization KW - Air quality;Policy making;Response surface modeling;Emission control scenarios;Data visualization AB - 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. ER -