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

被引：12

作者：

Yun Zhu ^{[1
,2
]}

Yanwen Lao ^{[3
]}

Carey Jang ^{[4
]}

ChenJen Lin ^{[1
,5
]}

Jia Xing ^{[2
]}

Shuxiao Wang ^{[2
]}

Joshua SFu ^{[6
]}

Shuang Deng ^{[7
]}

Junping Xie ^{[3
]}

Shicheng Long ^{[3
]}

机构：

[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 , USA

[5] Department of Civil Engineering, Lamar University

[6] Department of Civil & Environmental Engineering, University of Tennessee

[7] Chinese Research Academy of Environmental Sciences

来源：

Journal of Environmental Sciences | 2015年 / 27卷 / 01期

关键词：

Air quality; Policy making; Response surface modeling; Emission control scenarios; Data visualization;

D O I：

暂无

中图分类号：

X51-39 [];

学科分类号：

0706 ; 070602 ;

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.

引用

页码：97 / 107

页数：11

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