职称：副高，硕导

系所：射线所（EFM Group）

办公室：校本部东区环化楼6楼

E-mail：njulegao@163.com;

gaosong@shu.edu.cn

个人简介

长期从事环境监测与研究，首次解决痕量有机硫观测难题，革新NMHC在线监测技术，发展高通量活性有机物观测技术，形成了园区VOCs污染在线智慧化监管新模式。上海环保系统专业技术领军人才，生态部环境监测“三五”人才，挥发性有机物污染防治专业委员会常委，《环境科学研究》青年编委，《大气与环境光学学报》编委。主讲研究生专业实践基地-环境大数据与人工智能。主持或参与了各类重大课题十余项。在JCP等发表SCI论文30余篇；授权专利3项，制定标准十余项。获上海市科技进步二等奖三次，生态部科技二等奖一次。联合指导博士3名，硕士8名。长期担任Journal of environmental management，Environment international，Analytical chemistry等期刊审稿人。https://orcid.org/0000-0002-9627-1651

研究方向

1. 新型环境监测技术的研制、应用与标准化

2. 大气特征污染来源与环境效应：VOCs、恶臭、温室气体等

3. 大数据挖掘，人工智能和机器视觉

代表性中文论文

1. 我国重点区域环境大气VOCs监测体系现状及发展方向[J]. 环境科学研究, 2023

2. 环境空气非甲烷总烃连续自动监测一致性优化研究[J].环境科学研究，2023

3. 工业园区VOCs光离子化气体检测技术适用性研究[J].环境科学研究，2023

4. 典型化工集中区环境空气SVOCs污染特征及来源解析[J].环境科学,2021

5. 工业区VOCs监测因子在光化学污染分析中的研究[J].环境科学与技术,2020

6. 合成树脂行业挥发性有机物排放成分谱及影响[J].中国环境科学,2020

7. 上海某石化园区周边区域VOCs污染特征及健康风险[J].环境科学,2018.

8. 有机硫自动分析仪在石化园区环境空气监测中的应用[J].中国环境监测,2018.

9. 工业区恶臭污染自动监控体系设计[J].中国环境监测,2018.

10. VOCs比值法的应用研究进展[J].环境科学与技术,2018

Name: Song Gao

e-mail: njulegao@163.com；gaosong@shu.edu.cn

Education level: Doctor

Research fields: Research and Standardization of Environmental Monitoring Technology

Volatile Organic Compounds, Odor, and Greenhouse gas

Big Data Analysis，Artificial Intelligence and Machine Vision

• Senior engineer of Shanghai University, Ph.D. graduate of Fudan University, Deputy director of Shanghai Multimedia Environmental Collaborative Governance Engineering Technology Research Center.

Long-term commitment to environment monitoring and research. Project leader or member of more than ten national, provincial and ministerial scientific research projects. Project director in the research, design and innovative establishment of the VOCs online monitoring system in the industrial park. Pioneer in the research into the solution to the problem of observing trace organic sulfur and into the innovation of NMHC online monitoring technology. Project manager in the establishment of a volatile organic compound source spectrum for typical pollution sources, and in the formation of a new online intelligent supervision model for VOCs pollution in the park. Major breakthroughs in monitoring technology research, which has promoted the upgrading of monitoring methods; organized the establishment of a national VOCs online monitoring standard system, and led the formulation of a number of national standards, providing reference and demonstration for national VOCs monitoring. Member of the National Photochemical Pollution Pilot Monitoring Program Design.

Big Data Analysis, Artificial Intelligence and Machine Vision

Apply supervised and unsupervised algorithms to mine massive amounts of big data, intelligently identify the quality of data, and provide decision-making support for management. Apply small target recognition technology to carry out recognition and rapid warning of smoking images. In recent years, by improving machine learning methods, a system for air pollutant concentration prediction and pollution source transportation identification in the Hangzhou Bay area has been established, which has promoted big data, machine learning, online monitoring and image recognition technologies in pollutant prediction and Applications in source resolution. Based on deep learning, carry out time series and regional scale ozone pollution prediction; Based on CV, conduct research on artificial intelligence gas cloud imaging algorithms and calculate exhaust emissions.

New Environmental Monitoring Technology

Established, innovatively, an online monitoring system for VOCs in industrial parks, promoting the application of sensors, chromatography, mass spectrometry, and optics in VOC monitoring. Made significant breakthroughs in monitoring technology research, promoting the upgrading of monitoring methods. Engaged in using artificial intelligence monitoring technology to identify environmental pollution issues. Research new gas detection technologies such as electronic nose and infrared imaging, striving to promote technology application and standardization from the perspective of intelligent recognition.

Gas Pollution

Took the lead in establishing a new model of odor pollution prevention and control based on online intelligent management and control in the country, which promoted the evaluation of odor pollution and efficient emission reduction in Jinshan area. Focusing on the emission of VOCs and other odorous and toxic and harmful substances, the source spectrum of volatile organic substances in key industries has been established, and the innovative monitoring technology has tracked the source spectrum of active organic substances; a new online supervision model for real-time alarm, early warning response and pollution traceability of VOCs pollution in key parks has been formed.

Focus on the research and quantification of full-spectrum emissions of industrial greenhouse gases, focus on key industries such as semiconductors and steel, study organic greenhouse gas emission inventories and source spectra, and re-quantify industry impacts; carry out observations of fluorinated greenhouse gases in Shanghai to lay the foundation for greenhouse gas observation and research .

Fudan University Shanghai, China

Doctor of Science, Environmental Science 2014 – 2021

Nanjing University Nanjing, China

Master of Science, Environmental Science 2001 – 2004

Nanjing University Nanjing, China

Bachelor of Science, Geography 1997 – 2001

Shanghai University Shanghai, China

Senior Engineer, School of Environmental and Chemical Engineering 2021-

Shanghai Environmental Monitoring Center Shanghai, China

Senior Engineer, Atmospheric Environment Monitoring/Intelligent Monitoring for Industrial Parks 2004 -2021

1. 2022, Principal investigator for a major municipal project on online perception and intelligent early warning of hospital epidemic risks.

2. 2022, Volatile Organic Compound LiDAR and Portable Mass Spectrometry Monitoring Technology Research and Development and Application Demonstration

3. 2021, research on the impact and prediction of odor pollution in typical landfill sites based on rapid inspection technology

4. 2020, Research on the monitoring scheme of ambient air VOCs in key areas

5. 2018, Yangtze River Delta PM2.5 and Ozone Collaborative Prevention and Control Strategy and Technology Integration Demonstration

6. 2017, National major research and development plan "Emergency Early Warning Evaluation Technology and Demonstration Research for Sudden Air Pollution Accidents"

7. 2017, Major project of Shanghai "Research on Pollution Characteristics, Sources and Prevention and Control Countermeasures of Shanghai Atmospheric Active Organic Compounds"

8. 2016, Development and application of online measurement system for ambient atmospheric organic matter based on multi-ion source time-of-flight mass spectrometry technology.

9. 2016, Shanghai's Ozone Pollution Control Mechanism, Forecasting and Early Warning Technology Research

11. 2015, Volatile Organic Compounds Early Warning, Traceability and Technical Governance Demonstration in Typical Industrial Zones in Shanghai.

12. 2015, Research and establishment of VOCs traceability methods in typical petrochemical parks based on online monitoring

13. 2014, National Environmental Protection Public Welfare Scientific Research "Research on the Emission Characteristics and Control Countermeasures of Volatile Organic Compounds in Typical Chemical Parks".

1.2023, "Research and Application of key Technologies for waste Gas Collection, purification, Monitoring and Control in Rubber factories" won the second prize for scientific and technological progress in Shanghai.

2. 2020, won the second prize of Shanghai Science and Technology Progress Award as the second author of "Key Technologies and Applications of Intelligent Supervision and Traceability of Odor Pollution in Industrial Parks"

3. 2019, won the second prize of Environmental Protection Science and Technology Award of the Ministry of Ecology and Environment as the first author of "Research and Application of Key Technology for On-line Monitoring of Air Feature Pollution in Chemical Concentration Areas"

4. 2018, the first "National VOCs Monitoring and Governance Innovation Achievements" outstanding youth for innovative scientific and technological achievements

5. 2017, Technical leader in environmental protection system in Shanghai

6. In January 2015, selected as the first batch of national environmental monitoring technical backbones

7. 2008, "Establishment of Shanghai Ambient Air Quality Prediction and Forecast System and its Application in High Pollution Day Early Warning Linkage" and won the second prize of Shanghai Science and Technology Progress Award

1. Obtaining accurate non-methane hydrocarbon data for ambient air in urban areas: comparison of non-methane hydrocarbon data between indirect and direct methods, Atmos. Meas. Tech., 16,5709-5723.

2. Role of garbage classification in air pollution improvement of a municipal solid waste disposal base, Journal of Cleaner Production, 423(2023),138737.

3. Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural network[J]. Front. Environ. Sci. Eng. 2023, 17(2): 21.

4. New understanding of source profiles: Example of the coating industry[J]. Journal of Cleaner Production, 357(2022):132025.

5. Characteristics, sources of volatile organic compounds, and their contributions to secondary air pollution during different periods in Beijing, China, The Science of the total environment, (2022) 159831.

6. Characterization and influence of odorous gases on the working surface of a typical landfill site: A case study in a Chinese megacity[J]. Atmospheric Environment, 2021

7. Study on the measurement of isoprene by Differential Optical Absorption Spectroscopy., Atmos. Meas. Tech,14, 2649-2657, 2021.

8. Emissions and health risk assessment of process-based volatile organic compounds of a representative petrochemical enterprise in East China. Air Quality, Atmosphere & Health, 2021.

9. Investigation on the urban ambient isoprene and its oxidation processes, Atmospheric Environment. 2022,270:1352-2310.

10. Volatile organic compounds emission inventory of organic chemical raw material industry, Atmospheric Pollution Research. 2022,13:1309-1042.

11. Mobile monitoring of VOCs and source identification using two direct-inlet MSs in a large fine and petroleum chemical industrial park, Science of The Total Environment, Volume 823, 2022,153615.

12. Update on volatile organic compound (VOC) source profiles and ozone formation potential in synthetic resins industry in China[J]. Environmental Pollution, 2021.

13. New understanding of miniaturized VOCs monitoring device: PID-type sensors performance evaluations in ambient air，Sensors and Actuators B: Chemical，2021.

14. Investigation of health risk assessment and odor pollution of volatile organic compounds from industrial activities in the Yangtze River Delta region, China，Ecotoxicology and Environmental Safety，2021.

15. Application of an emission profile-based method to trace the sources of volatile organic compounds in a chemical industrial park，Science of The Total Environment，2021.

16. Stationary monitoring and source apportionment of VOCs in a chemical industrial park by combining rapid direct-inlet MSs with a GC-FID/MS, Science of The Total Environment, Volume 795, 2021,148639.

1. A two-level attention mechanism for ozone concentration prediction and cause analysis method（202310324743）

2. A method to quantify the changing characteristics of main source emissions in small-scale areas（202310539374）

3. An online monitoring system for organic sulfides in ambient air（201720114137.9）

4. An air VOCs directional sampling system（201720066070.6）

5. Automatic online monitoring, early warning and sample retention system for odorous gas pollution（ZL 2015 2 0905655.3）

National Standard

1. Technical Specifications for Ambient Air Quality Continuous Automated Monitoring for NH₃ and H₂S.

2. Specifications and Test Procedures for Ambient Air Quality Continuous Automated Monitoring System for NH₃ and H₂S.

3. Ambient air Automatic determination of nonmethane hydrocarbons Gas chromatography Hydrogen flame ionization detector method.

4. Calibration Regulations for Continuous Automatic Monitoring System of Non-Methane Total Hydrocarbons in Ambient Air.

5. Technical Specifications for Operation and Quality Control of Continuous Automatic Monitoring System for Non-Methane Total Hydrocarbons in Ambient Air.

6. Technical Specifications for Online Monitoring of Ambient Air and Exhaust Odor Gases.

7. Technical Specifications for Continuous Automatic Monitoring of Ambient Air Volatile Organic Compounds by Gas Chromatography

8. Method for determination of performance of industrial organic waste gas purification devices(GB/T 40200-2021)

Local Standard and Group Standard

1. Criteria for evaluating air quality in indoor public places for children aged 0-6（T/SICCA 018—2023）

2. Technical requirements and monitoring specifications of infrared Optical Gas Imager(OGI) for volatile organic compound leakage detection（T/ACEF 095—2023）

3. Technical requirements and monitoring specifications of portable photoionization detector(PID) for volatile organic compounds（T/ACEF 096—2023）

4. Technical Specifications for Grid Monitoring System for Volatile Organic Compounds in the Yangtze River Delta Industrial Park (DB31/T1098-2022)

5. Technical Specifications for Navigation Monitoring of Volatile Organic Compounds in the Yangtze River Delta Ecological Green Integrated Development Demonstration Zone (DB31/T 310002-2021)

6. Technical Specifications for Online Monitoring of Organic Sulfur in Ambient Air (DB31/T1089-2018).

7. Technical Specifications for Online Monitoring of Non-Methane Total Hydrocarbons in Ambient Air (DB31/T1090-2018).

8. Odor Pollutant Emission Standards(DB311025-2016)