找准主要矛盾后，上海创新思路、敢作善为、一抓到底。针对移动源这一"大头"，坚持"激励+约束"双 管齐下，在全国多数地区尚未完成国三柴油车淘汰的时候，率先推动70%以上国四重型柴油车退出市 场，同时将新能源重卡占比提升至8%，让源头治污真正落到实处。对工业源VOCs排放管理，上海跳 出"人海巡查"传统模式，整合各种监测资源，构建非现场监管体系，保证了监管的精准度与长效性。对 于餐饮油烟治理，开发"一店一档"系统与清洗维护台账平台，实现治理全程可追溯。 笔者认为，上海的经验值得各地认真学习。要深入开展污染源解析，找准治污"卡脖子"问题，同时聚焦 关键领域，以科技赋能污染治理，让监管措施更精准长效。大气治理不仅要看短期成绩单，更要看久久 为功的真成效。找对靶点、科技赋能、全民参与，将主要力量聚焦于污染贡献率最大的主攻方向，踩实 每一步、解决每一个问题。如此一来，大气污染治理成效才更显著。 少数城市缺少长效思维，笔者认为，原因在于对环境数据研究不深，缺乏系统性的污染源解析。既不清 楚本地污染主要来源，也找不准治理的难点，即便知晓症结，也不敢较真碰硬，往往避重就轻躲着走。 这就导致相关地方采取的污染治理措施缺乏系统性和 ...

Group 1: Air Quality Improvement - The air quality in Shenyang has significantly improved, with no smog days reported since October and PM2.5 daily average concentration remaining below 65 micrograms per cubic meter [1] - In 2024, the province recorded 325 days of good air quality, an increase of 19 days compared to 2020, with heavy pollution days averaging only 1.8, a reduction of 2.1 days from 2020 [1] - By the third quarter of 2025, the proportion of good air quality days reached 89.4%, marking the best historical level for the same period [1] Group 2: Industrial Transformation - The green transformation of industrial enterprises is crucial for expanding blue sky coverage, with Ansteel Baicheng Steel Plant investing 2.6 billion yuan in ultra-low emission modifications, achieving advanced emission levels for sulfur dioxide, particulate matter, and nitrogen oxides per ton of steel [2] - Thirteen steel enterprises in Liaoning have completed ultra-low emission modifications, covering 91.44% of the production capacity of operating enterprises [2] - A comprehensive monitoring network has been established, including 15 county-level and 10 township-level air quality automatic monitoring stations, enhancing pollution source identification and management [2] Group 3: Heating Season Management - The previous heating season in Shenyang did not experience heavy pollution days, with significant upgrades to old heating pipelines and the elimination of small coal-fired boilers in various cities [3] - The city plans to eliminate over 30,000 old diesel trucks and update 82,400 National III passenger vehicles in 2024, promoting electric and hydrogen vehicles in public transport and logistics [3] - The comprehensive utilization rate of straw in the province is expected to reach 93.16% by the end of 2024, utilizing methods such as feed, fuel, fertilizer, substrate, and raw material [3] Group 4: Public Sentiment and Quality of Life - The improvement in air quality has enhanced public happiness, with citizens enjoying outdoor activities and observing more stars at night due to clearer skies [4] - Key air quality indicators, including PM2.5 concentration, proportion of good air days, and heavy pollution days, have shown year-on-year improvements by the third quarter of 2025 [4] - The blue sky campaign aligns with public needs, allowing citizens to share in the benefits of high-quality development through improved air quality [4]

Core Viewpoint - The article emphasizes the importance of ecological environment monitoring as a foundation for ecological protection and pollution prevention, advocating for improved monitoring data quality and the implementation of advanced technologies to enhance monitoring capabilities [1][2][3]. Group 1: Improving Monitoring Data Quality - The article suggests enhancing the accuracy, comprehensiveness, and timeliness of monitoring data to support precise pollution control. It highlights the need for the widespread application of Laboratory Information Management Systems (LIMS) and unified regulatory frameworks for monitoring institutions [1]. - It calls for a shift in focus for monitoring personnel from merely ensuring data quality to also emphasizing the application of monitoring data, thereby strengthening its role in precise pollution control [1]. Group 2: Accelerating Digital Transformation of Monitoring Systems - The article advocates for the digital transformation of ecological environment monitoring systems, leveraging technologies such as artificial intelligence and cloud platforms to modernize monitoring capabilities [2]. - It emphasizes the need to develop monitoring technologies with independent intellectual property rights and to enhance the automation and intelligence of monitoring processes [2]. - The establishment of a comprehensive ecological environment smart monitoring system is recommended, which would improve the ability to trace pollution sources and enhance environmental quality forecasting [2]. Group 3: Strengthening Legal and Regulatory Frameworks - The article stresses the necessity of a solid legal foundation for ecological environment monitoring, particularly in clarifying the legal status of automatic monitoring data from polluting entities [3]. - It points out that currently, only data from waste incineration power plants can be directly used for administrative enforcement, indicating a need for broader legal recognition of monitoring data [3]. - The role of social monitoring institutions is highlighted, with a call for clear legal definitions regarding the use of their data in environmental enforcement to enhance their contribution to ecological management [3].

Core Insights - The Nanjing Environmental Science Research Institute (Nanjing Huan Ke Suo) is recognized for its deep-rooted expertise and significant achievements in environmental protection research, with a focus on soil pollution prevention and ecological protection [1][3] Group 1: Research Focus and Achievements - Nanjing Huan Ke Suo has established itself as a leader in soil pollution control and ecological protection, emphasizing the importance of source prevention in soil and groundwater pollution management [1] - The institute has developed a biodiversity smart monitoring system that includes various monitoring devices, showcasing its commitment to enhancing biodiversity protection through advanced technology [2] Group 2: Technological Advancements and Collaboration - The use of big data and artificial intelligence is encouraged to create a comprehensive monitoring network that supports biodiversity conservation efforts [2] - The institute is urged to strengthen its technological breakthroughs in ecological governance and to promote green and low-carbon development in agriculture [3] Group 3: Strategic Goals and Future Directions - The leadership emphasizes the need for Nanjing Huan Ke Suo to achieve new breakthroughs in ecological governance challenges and to support the construction of a beautiful Jiangsu [3] - There is a call for expanding the pathways for technology transfer and application, facilitating the green and low-carbon transformation of the economy and society [3]

Core Viewpoint - The integration of AI technology in dust pollution management at construction sites is being actively explored in major cities in China, showcasing innovative solutions for environmental governance [1][2]. Group 1: Current Practices - Major cities like Shanghai and Shenzhen are implementing AI-driven systems for dust monitoring, with Shanghai using a comprehensive platform for city-wide oversight and Shenzhen enhancing its remote monitoring capabilities [1]. - These AI technologies are breaking traditional regulatory limitations and enabling data-driven, precise pollution control, providing replicable solutions for dust management [1]. Group 2: Existing Challenges - There are significant issues with the current AI monitoring systems, including a lack of comprehensive legal frameworks and technical standards, which hampers effective enforcement and data sharing [2]. - The existing systems primarily focus on basic scenarios, lacking the capability to address complex situations, and many smaller projects still rely on manual inspections due to high costs and deployment difficulties [2]. - The market for monitoring equipment is characterized by low entry barriers, leading to subpar products that compromise data integrity, and there is insufficient collaboration among various regulatory departments [2]. Group 3: Recommendations for Improvement - It is essential to enhance the regulatory and standards framework, including clarifying the legal status of AI monitoring data and establishing strict penalties for data falsification [3]. - Expanding the technical applications of AI in real-time monitoring and intelligent alerts is crucial, utilizing a combination of video surveillance, sensor networks, and IoT devices to create a comprehensive monitoring system [3]. - Implementing a robust lifecycle management for monitoring equipment, including strict market entry requirements and a collaborative maintenance model involving government, enterprises, and third parties, is necessary [4]. - Strengthening inter-departmental cooperation and public engagement through platforms for citizen reporting and targeted training for stakeholders will enhance the overall effectiveness of dust management efforts [4].

Group 1 - The State Council has initiated actions for the protection and construction of beautiful rivers and lakes, emphasizing the need for precise pollution control, scientific governance, and legal enforcement in water resource management [1] - Significant improvements in water ecological environment quality have been reported, with 92.4% of key river basins showing good water quality (Class I-III) in 2024, an increase of 0.7 percentage points year-on-year [1] - The proportion of water quality classified as inferior Class V has decreased to 0.3%, down by 0.1 percentage points compared to the previous year [1] Group 2 - The meeting highlighted the importance of a three-step approach for sustainable water pollution control, including establishing a standard system, optimizing management structures, and seeking multi-party support [2] - The need for smart management in environmental governance is emphasized, with a focus on creating a standardized asset management system for environmental infrastructure [2] - Companies are urged to enhance water pollution prevention through comprehensive lifecycle monitoring, utilizing technologies such as AI and IoT, and to bear higher costs for wastewater discharge [3]