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蓝天成常态!海淀空气质量,实现“四个首次”
Xin Lang Cai Jing· 2026-01-05 09:28
转自:北京日报客户端 多项指标领跑全市 2025年 海淀区空气质量迎来里程碑式突破 以"四个首次"的标志性成果 刷新区域生态环境质量新高度 2025年,海淀区始终将空气质量改善作为提升民生福祉的关键抓手,锚定"生态优先、绿色发展"战略方 向,全区上下协同发力、久久为功,交出一份"十四五"蓝天保卫战的亮眼答卷——细颗粒物(PM2.5) 年均浓度首次"破30"、改善幅度首夺全市最优、优良天数首超300天、六项主要污染物首次全达标,四 项核心指标均创历史新高,清新空气正成为海淀市民生活中"看得见、摸得着"的幸福体验。 空气质量实现"四个首次" 聚焦结构、工程、管理三大领域 打出的一套精准治污、协同减排的"组合拳" 细颗粒物(PM2.5)治理成效尤为显著。数据显示,2025年海淀区PM2.5年均浓度降至25.7微克/立方 米,不仅首次突破"30微克/立方米"关键关口,更连续11年位居城六区首位,优于生态涵养区平谷区。 与此同时,PM2.5浓度同比下降16.0%,改善幅度首次跃居全市第一。回溯数据,2013年海淀区PM2.5年 均浓度为98.1微克/立方米,到2025年降至25.7微克/立方米,12年间降幅高达73.8 ...
北京APEC蓝如何变成常态蓝?生态环境局新闻发言人带来一张图
Xin Jing Bao· 2026-01-04 08:16
新京报讯(记者张璐)北京是如何做到让"APEC蓝"成为"常态蓝"的?在1月4日举行的北京市空气质量 状况新闻发布会上,北京市生态环境局党组成员、副局长、新闻发言人刘保献拿出了一张图——2013年 和2025年北京市PM2.5浓度分布图,从全市以红色为主,到各个区域都变成绿色,背后靠的是0.1微克、 0.1微克地精抓细抠。 大气污染具有流动性,在生态环境部的指导下,北京与周边省市建立密切的联防联控机制,统一规划、 统一标准、协同减排,形成区域治理"一盘棋",北京市空气质量实现快速改善,也得益于区域空气质量 的同步改善。 刘保献说,这一成绩的取得,既有"人努力",又有"天帮忙",但最根本的还是"人努力",靠的是0.1微 克、0.1微克地精抓细抠。北京接续实施清洁空气五年行动计划、蓝天保卫战三年行动计划和"1微克"行 动,并提级实施"0.1微克"攻坚行动,治理精度从"1微克"向"0.1微克"深化。 近年来,北京始终聚焦PM2.5治理主线,创新构建以"含绿量"为牵引的系统治理体系。去年北京开展来 源解析,锁定了23个本地污染贡献超0.1微克的重点领域,并逐一明确精准化治理措施,深挖创绿减排 潜力。这当中涌现出了全电工 ...
精准治污+科技赋能,上海的治气经验值得全国抄作业
Core Insights - Shanghai's air pollution control practices focus on targeted measures across key areas such as mobile sources, industrial sources, and residential sources, utilizing a combination of policies, technology, regulation, and collaborative governance to steadily improve air quality [1][2] Group 1: Shanghai's Approach - Shanghai aims for "long-term root cause resolution" in pollution control, employing scientific methods throughout the process and ensuring that each step is precise and effective [2] - The city identifies mobile sources as the largest contributor to PM2.5, accounting for 44% of the impact, while industrial sources contribute 51% of VOC emissions, which are critical for ozone pollution [2] - Shanghai has implemented a dual approach of "incentives + constraints" to address mobile sources, leading to the early retirement of over 70% of National IV heavy diesel vehicles and increasing the share of new energy heavy trucks to 8% [2] Group 2: Lessons for Other Cities - Other cities should conduct in-depth pollution source analysis to identify critical issues in pollution control and focus on key areas, leveraging technology to enhance the precision and sustainability of regulatory measures [3] - Effective air pollution management requires a long-term perspective rather than short-term results, emphasizing the importance of targeting the most significant contributors to pollution [3] - Engaging the entire community and concentrating efforts on the main pollution sources will lead to more significant improvements in air quality [3]
好天儿常见 空气更新鲜
Liao Ning Ri Bao· 2025-10-31 01:04
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]
以高水平监测更好服务“三个治污”
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].
信长星在生态环境部南京环境科学研究所调研时指出聚焦前沿领域 强化科技支撑 协同推进高质量发展和高水平保护
Xin Hua Ri Bao· 2025-08-26 23:21
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]
工地扬尘监管用上AI智能技术,科技赋能蓝天保卫战
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].
国常会部署美丽河湖建设:从精准治污等多方向发力
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]