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

查看全文 作　　者：Yun [1,2]Zhu;Yanwen [3]Lao;Carey [4]Jang;Chen-Jen [1,5]Lin;Jia [2]Xing;Shuxiao [2]Wang;Joshua [6]S.Fu;Shuang [7]Deng;Junping [3]Xie;Shicheng [3]Long

机构地区：[1]Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environmental and Energy, South China University of Technology, Guangzhou Higher Education Mega Center;[2]State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University;[3]College of Environmental and Energy, South China University of Technology, Guangzhou Higher Education Mega Center;[4]USEPA/Office of Air Quality Planning & Standards, RTP,NC 27711, USA;[5]Department of Civil Engineering, Lamar University;[6]Department of Civil & Environmental Engineering, University of Tennessee;[7]Chinese Research Academy of Environmental Sciences

出　　处：《Journal of Environmental Sciences》索引2015年第27卷第1期,共11页

基　　金：Financial and data support for this work is provided by the U.S. Environmental Protection Agency (No. GS-10F-0205T);partly supported by the funding of Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control (No. h2xj D612004 Ш );the funding of State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex (No. SCAPC201308);the project of Atmospheric Haze Collaboration Control Technology Design (No. XDB05030400) from Chinese Academy of Sciences 摘　　要：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. 关键词：空气质量模型软件平台案例开发科学数据可视化基础非线性关系

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

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