S
Shuang Deng
Publications - 4
Citations - 104
Shuang Deng is an academic researcher. The author has contributed to research in topics: Air quality index & Software. The author has an hindex of 4, co-authored 4 publications receiving 86 citations.
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Journal ArticleDOI
Evaluation of health benefit using BenMAP-CE with an integrated scheme of model and monitor data during Guangzhou Asian Games.
Dian Ding,Yun Zhu,Carey Jang,Che-Jen Lin,Shuxiao Wang,Joshua S. Fu,Jian Gao,Shuang Deng,Junping Xie,Xuezhen Qiu +9 more
TL;DR: The analysis of the acute health outcome changes related to the air quality improvement during the 2010 Guangzhou Asian Games using a next-generation, fully-integrated assessment system for air quality and health benefits demonstrates that BenMAP-CE is capable of assessing the health and cost benefits of air pollution control for sound policy making.
Journal ArticleDOI
Design and demonstration of a next-generation air quality attainment assessment system for PM2.5 and O3.
Hua Wang,Yun Zhu,Yun Zhu,Carey Jang,Che-Jen Lin,Che-Jen Lin,Shuxiao Wang,Joshua S. Fu,Jian Gao,Shuang Deng,Junping Xie,Dian Ding,Xuezhen Qiu,Shicheng Long +13 more
TL;DR: The Software for Model Attainment Test-Community Edition (SMAT-CE), developed for demonstrating attainment of air quality standards of O3 and PM2.5, improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform.
Journal ArticleDOI
A case study of development and application of a streamlined control and response modeling system for PM2.5 attainment assessment in China.
Shicheng Long,Yun Zhu,Carey Jang,Che-Jen Lin,Shuxiao Wang,Bin Zhao,Jian Gao,Shuang Deng,Junping Xie,Xuezhen Qiu +9 more
TL;DR: The streamlined system provides a real-time control/response assessment to identify the contributions of major emission sources to ambient PM2.5 and streamline air quality data for SMAT-CE to perform attainment assessments.
Journal ArticleDOI
Development and case study of a science-based software platform to support policy making on air quality
Yun Zhu,Yun Zhu,Yanwen Lao,Carey Jang,Chen-Jen Lin,Chen-Jen Lin,Jia Xing,Shuxiao Wang,Joshua S. Fu,Shuang Deng,Junping Xie,Shicheng Long +11 more
TL;DR: A novel software platform that supports real-time, science-based policy making on air quality through a user-friendly interface and 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 is described.