生态环境监测科技

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全国先进工作者丨沈秀娥:监测数据是民生幸福的晴雨表
Zhong Guo Huan Jing Bao· 2025-07-14 00:53
Core Viewpoint - The article highlights the significant advancements made by the Beijing Ecological Environment Monitoring Center in air quality monitoring and pollution management, emphasizing the importance of data-driven approaches in environmental protection [6][7][11]. Group 1: Technological Advancements - The center developed the first domestic PM2.5 organic tracing monitoring method, which can analyze over 50 organic tracers within one hour, improving efficiency by nearly ten times compared to traditional methods [7]. - By 2021, Beijing achieved an annual average PM2.5 concentration of 33 micrograms per cubic meter, a significant reduction from 89.5 micrograms per cubic meter in 2013, meeting national secondary standards for the first time [7]. - The establishment of a "1+N" air quality monitoring platform marked a digital transformation in air quality management, enabling real-time monitoring and data-driven decision-making [8]. Group 2: Operational Excellence - The center implemented a closed-loop scheduling system that captures over 20 types of environmental issues, ensuring a feedback loop of "2 hours for feedback, 4 hours for resolution" [8]. - The monitoring network has transitioned from manual operations to automated systems, allowing for remote real-time monitoring and automatic alerts for data anomalies [8]. - During the 2022 Winter Olympics, the team successfully maintained PM2.5 levels within standards, achieving a 65.2% year-on-year reduction in concentration during the event [9][10]. Group 3: Commitment to Environmental Protection - The center's leadership emphasizes the critical role of frontline monitoring in understanding and addressing air pollution, with a focus on continuous improvement and innovation in monitoring techniques [9][10]. - The dedication of the team is evident in their proactive approach during high pollution events, ensuring that monitoring efforts are robust and responsive to real-time data [10][11].