Enrollment Majors

• Master’s enrollment major: Academic Master: 083000 | Environmental Science and Engineering; Master of Professional Degree: 085700 | Resources and Environment

• Doctoral admissions major: Academic Ph.D: 083000 | Environmental Science and Engineering; Doctor of Professional Degree: 085700 | Resources and Environment

Work Experience

• 2005.10-current School of Environment and Energy, South China University of Technology, Professor

• 2017. 4-8 Department of Civil and Environmental Engineering, Lamar University, Senior Visiting Scholar

• 2015/2014/2013/2012/2011.7-8 Department of Civil and Environmental Engineering, University of Tennessee, Senior Visiting Scholar

• 2009.9-2010.7 School of Environment, Tsinghua University, domestic visiting scholar plan for young backbone teachers

• 2004.8-2005.9 Aoge Intelligent Technology (Guangzhou) Co., Ltd., department manager

• 2001.3-2004.7 CHINA DCI, department manager

Educational Experience

• 1998.9-2001.7 South China University of Technology, Ph.D. of environmental engineering

• 1995.9-1998.4 South China University of Technology, Master of environmental chemical engineering

• 1991.9-1995.7 Xiangtan University, Bachelor of environmental engineering

Social and Academic Part-time Appointment

• Standing Member, Special Committee on Eco-Environmental Artificial Intelligence, Chinese Society for Environmental Sciences

• Senior Member, China Computer Federation

• Expert, Guangdong Provincial Air Pollution Prevention and Control Advisory Group

• Expert, Guangdong Provincial Emergency Management

• Expert, E-Government Expert Database, Guangdong Provincial Department of Ecology and Environment

• Expert, VOC Pollution Prevention and Control Expert Database, Guangdong Province

• Director, Guangdong Sustainable Development Association

• Member, Automatic Monitoring Professional Committee, Guangdong Environmental Monitoring Association

• Expert, Huizhou Decision Advisory Committee

  
  

Research Areas

• Emission inventory compilation and dynamic inversion for air pollutants and greenhouse gases; pollutant-carbon synergy simulation and effectiveness evaluation.

• Fine-resolution forecasting of all air quality elements; air quality modeling and source apportionment analysis; continuous air quality improvement; VOC emissions full-process supervision and control strategy evaluation; health benefits and governance cost analysis.

• Environmental noise simulation, monitoring, and AI-based supervision.

• AI-based video recognition and environmental regulatory applications; UAV aerial image processing and applications; development of environmental management information systems and intelligent/vertical domain applications.

  
  

Research Projects

1. National Key R&D Program – International Cooperation Project (2023YFE0121300):“Integrated Modeling of Pollutant-Carbon Synergistic Response and Environmental–Climate Risk Analysis” (2023.12–2025.11)

2. Guangdong Provincial Ecological Environment Monitoring Center:“Inversion of Major Greenhouse Gas Emissions and Precise Source Attribution of Air Pollution in Guangdong Province” (2023.7–2024.12)

3. U.S. EPA U.S.-China International Cooperation Project (68HERD21A):“Development of Air Quality Modeling Assessment Tools (AQMAT)” (2021.09–2026.12)

4. U.S. EPA U.S.-China International Cooperation Project (EP-D-12-044):“Development Support for Air Benefit and Cost and Attainment Assessment System (ABaCAS)” (2015.01–2021.03)

5. National Key R&D Program (2016YFC0207606):“Comprehensive Evaluation and Demonstration of Cost–Benefit for Air Pollution Prevention in Typical Cities” (2016.07–2019.12)

(For brevity, only a selection of projects is listed. Full details available upon request.)

Academic Achievements

Awards

1. June 2023 – First Prize, Ministry of Education Science and Technology Progress Award“Key Technologies and Applications in Precise Regional Air Quality Regulation” (Ranked 6/15)

2. July 2022 – First Prize, Guangdong Environmental Protection Science and Technology Award“Digital Monitoring and Management Application Demonstration for the Full Process of Hazardous Waste” (Ranked 2/15)

Representative Publications

[1] Wencheng Yu, Ji-Cheng Jang, Yun Zhu*, Jianxin Peng, Wenwei Yang, and Kunjie Li. “Enhanced Estimation of Traffic Noise Levels Using Minute-Level Traffic Flow Data through Convolutional Neural Network,” Sustainability, 2024, 16(14): 1–16.

[2] Shaoyi Wang, Yun Zhu*, Ji-Cheng Jang, Ming Jiang, Dingli Yue, Liuju Zhong, Yingzhi Yuan, Mengmeng Zhang, Zhiqiang You. “Modeling Assessment of Air Pollution Control Measures and COVID-19 Pandemic on Air Quality Improvements over Greater Bay Area of China,” Science of the Total Environment, 2024, 926: 171951, 1–11.

[3] Meihong Zhi, Yun Zhu*, Ji-Cheng Jang, Shuxiao Wang, Pen-Chi Chiang, Chuang Su, Shenglun Liang, Ying Li, Yingzhi Yuan. “Analysis of Storage Capacity Change and Dam Failure Risk for Tailings Ponds Using WebGIS-Based UAV 3D Image,” Sustainability, 2023, 15, 14062. https://doi.org/10.3390/su151914062

[4] Jie Li, Ji-cheng Jang, Yun Zhu*, Che-Jen Lin, Shuxiao Wang, Jia Xing, Xinyi Dong, Jinying Li, Bin Zhao, Bingyao Zhang, Yingzhi Yuan. “Development of a Recurrent Spatiotemporal Deep-Learning Method Coupled with Data Fusion for Correction of Hourly Ozone Forecasts,” Environmental Pollution, 2023, 335, 122291, 1–9

[5] Yingzhi Yuan, Yun Zhu*, Che-Jen Lin, Shuxiao Wang, Yanghong Xie, Haixian Li, Jia Xing, Bin Zhao, Mengmeng Zhang, Zhiqiang You. “Impact of Commercial Cooking on Urban PM2.5 and O3 with Online Data-assisted Emission Inventory,” Science of the Total Environment, 2023, 873: 162256, 1–10. 

[6] Jinying Li, Youzhi Dai, Yun Zhu*, Xiangbo Tang, Shuxiao Wang, Jia Xing, Bin Zhao, Shaojia Fan, Shicheng Long, Tingting Fang. “Improvements of Response Surface Modeling with Self-Adaptive Machine Learning Method for PM2.5 and O3 Predictions,” Journal of Environmental Management, 2022, 303: 114210.

[7] Weidong Chen, Haixian Li*, Yun Zhu, Jicheng Jang, Che-Jen Lin, Pen-Chi Chiang, Shuxiao Wang, Jia Xing, Tingting Fang, Jie Li, Qingshan Yang, Kaiming Zheng. “Impact Assessment of Energy Transition Policy on Air Quality over a Typical District of the Pearl River Delta Region, China,” Aerosol and Air Quality Research, 2022, 22(7): 1–14.

[8] Ying Chen, Yun Zhu*, Chen-Jen Lin, Sarav Arunachalam, Shuxiao Wang, Jia Xing, Duohong Chen, Shaojia Fan, Tingting Fang, Anqi Jiang. “Response Surface Model Based Emission Source Contribution and Meteorological Pattern Analysis in Ozone Polluted Days,” Environmental Pollution, 2022, 307, 119459, 1–9.

[9] Jinying Li, Youzhi Dai, Yun Zhu*, Xiangbo Tang, Shuxiao Wang, Jia Xing, Bin Zhao, Shaojia Fan, Shicheng Long, Tingting Fang. “Improvements of Response Surface Modeling with Self-Adaptive Machine Learning Method for PM2.5 and O3 Predictions,” Journal of Environmental Management, 2022, 303: 114210.

[10] Zhifang Li, Yun Zhu*, Shuxiao Wang, Jia Xing, Bin Zhao, Shicheng Long, Minhui Li, Wenwei Yang, Ruolin Huang, Ying Chen. “Source Contribution Analysis of PM2.5 Using Response Surface Model and Particulate Source Apportionment Technique over the PRD Region, China,” Science of the Total Environment, 2022, 818: 151757, 1–12.

[11] Tingting Fang, Yun Zhu*, Shuxiao Wang, Jia Xing, Bin Zhao, Shaojia Fan, Minhui Li, Wenwei Yang, Ying Chen, Ruolin Huang. “Source Impact and Contribution Analysis of Ambient Ozone Using Multi-Modeling Approaches over the Pearl River Delta Region, China,” Environmental Pollution, 2021, 289 (117860), 1–13.

[12] Jiangbo Jin, Yun Zhu*, Ji-cheng Jang, Shuxiao Wang, Jia Xing, Pen-Chi Chiang, Shaojia Fan, Shicheng Long. “Enhancement of the Polynomial Functions Response Surface Model for Real-Time Ozone Sensitivity Analysis,” Frontiers of Environmental Science & Engineering, 2021, 15(2): 31.

[13] Yuzhou Pan, Yun Zhu*, Ji-cheng Jang, Shuxiao Wang, Jia Xing, Pen-Chi Chiang, Xuetao Zhao, Zhiqiang You, Yingzhi Yuan. “Source and Sectoral Contribution Analysis of PM2.5 Based on an Efficient Response Surface Modeling Technique over the Pearl River Delta Region of China,” Science of the Total Environment, 2020, 737 (139655): 1–15.

[14] Tingting Fang, Yun Zhu*, Carey Jang, Shuxiao Wang, Jia Xing, Pen-Chi Chiang, Shaojia Fan, Zhiqiang You, Jinying Li. “Real-Time Source Contribution Analysis of Ambient Ozone Using an Enhanced Meta-Modeling Approach over the Pearl River Delta Region of China,” Journal of Environmental Management, 2020, 268 (110650): 1–12. 

[15] Jinying Huang, Yun Zhu*, James T. Kelly, Carey Jang, Shuxiao Wang, Jia Xing, Pen-Chi Chiang, Shaojia Fan, Xuetao Zhao, Lian Yu. “Large-Scale Optimization of Multi-Pollutant Control Strategies in the Pearl River Delta Region of China Using a Genetic Algorithm in Machine Learning,” Science of the Total Environment, 2020, 722 (137701): 1–12.

[16] Meifang Yu, Yun Zhu*, Che-Jen Lin, Shuxiao Wang, Jia Xing, Carey Jang, Jizhang Huang, Jinying Huang, Jiangbo Jin, Lian Yu. “Effects of Air Pollution Control Measures on Air Quality Improvement in Guangzhou, China,” Journal of Environmental Management, 2019, 244: 127–137.

[17] Hui Xu, Yun Zhu*, Long Wang, Che-Jen Lin, Carey Jang, Qin Zhou, Bin Yu, Shuxiao Wang, Jia Xing, Lian Yu. “Source Contribution Analysis of Mercury Deposition Using an Enhanced CALPUFF-Hg in the Central Pearl River Delta, China,” Environmental Pollution, 2019, 250: 1032–1043.

[18] Jiabin Li, Yun Zhu*, James T. Kelly, Carey J. Jang, Shuxiao Wang, Adel Hanna, Jia Xing, Che-Jen Lin, Shicheng Long, Lian Yu. “Health Benefit Assessment of PM2.5 Reduction in the Pearl River Delta Region of China Using a Model–Monitor Data Fusion Approach,” Journal of Environmental Management, 2019, 233: 489–498.

[19] Jiajun Liu, Long Wang*, Yun Zhu*, Che-Jen Lin, Carey Jang, Shuxiao Wang, Jia Xing, Bin Yu, Hui Xu, Yuzhou Pan. “Source Attribution for Mercury Deposition with an Updated Atmospheric Mercury Emission Inventory in the Pearl River Delta Region, China,” Frontiers of Environmental Science & Engineering, 2019, 13(1): 2–14.

[20] Wenwei Yang, Yun Zhu*, Carey Jang, Shicheng Long, Che-Jen Lin, Bin Yu, Zachariah Adelman, Shuxiao Wang, Jia Xing (For brevity, only two publications are listed. Full details available upon request.)

Others (teaching activities/honors, etc.)

Undergraduate Courses:

Computer Data and Graphics Applications (32 hours)

Environmental Information Systems (24 hours)

Graduate Courses:

o Environmental Data and Artificial Intelligence Applications (32 hours)

Student Supervision

Current Ph.D. Students: 12

Current Master’s Students: 12