2月26日，市场探底回升，三大指数涨跌不一，创业板指盘中一度跌超1%，黄白线分化。沪深两市成交额2.54万亿，较上一个交易日放量759亿。盘面上， 市场热点快速轮动，全市场超2800只个股下跌。从板块来看，算力（核心股）硬件方向涨幅居前，PCB、CPO、液冷服务器（核心股）、算力芯片概念均表 现强势，深南电路、大族激光、广合科技、川润股份涨停。电力板块走强，赣能股份2连板，华银电力涨停。燃气轮机概念集体大涨，应流股份、万泽股 份、东方电气、常宝股份封涨停。小金属概念表现活跃，云南锗业、章源钨业双双2连板。环保股尾盘拉升，中科环保、启迪环境封涨停。下跌方面，影视 （核心股）院线、保险、房地产等板块跌幅居前。其中影视院线概念股连续大跌，博纳影业触及跌停。截至收盘，沪指跌0.01%，深成指涨0.19%，创业板 指跌0.29%。 今日全市场（不含ST股、退市股）共61股涨停，连板股总数9只，23股封板未遂，封板率为73%。焦点股方面，投资先天算力（核心股）的豫能控股6连板， 光纤概念（核心股）股法尔胜4连板，化工（核心股）板块澄星股份和金正大均晋级3连板。 一、板块异动 二、涨跌停温度 三、涨跌家数 四、涨停揭秘 | ...

其间，西宁市生态环境局协调建设、房产、城管等部门，严格落实建筑工地扬尘防范措施，加大主干道 清扫保洁频次。依托"人防+技防"模式，开展建筑工地不间断巡查，累计检查1599家次，整治问题682 项，确保扬尘防控"10个100%"全面落实。加强柴油货车和非道路移动机械监管，首次实现夏季臭氧"零 污染"。同时，持续推进6768户"煤改气"和288.22蒸吨低氮锅炉改造工程，有序推进73台10蒸吨及以下 燃煤锅炉淘汰和4台65蒸吨以上燃煤锅炉超低排放改造。 本报讯（西海新闻记者 赵俊杰）来自西宁市生态环境局的消息：2025年，西宁市环境空气质量优良率 首次达到96.2%，同比上升3.1个百分点；PM2.5浓度为29.5微克/立方米，同比下降7.8%，达到历史最优 水平，"西宁蓝"再添"好气质"。 2025年，西宁市坚持源头治理与系统治理相结合，全力推进产业绿色转型发展。以钢铁、水泥和电解铝 等行业为重点，组织专家开展技术帮扶10余次，扎实推进超低排放改造，持续降低工业源污染强度。积 极争取落实中央和省级大气污染防治资金，实施工业企业大气污染深度治理、钢铁电解铝行业超低排放 等13个重点治理项目。 依托重点污染源在线监 ...

Core Viewpoint - The province is advancing from "plastic ban" to "plastic management" and will construct "waste-free islands" in stages, enhancing the ecological product value realization mechanism [2] Group 1: Environmental Quality Achievements - The province achieved significant improvements in air and water quality, with PM2.5 annual average concentration dropping to a historical low of 11.8 micrograms per cubic meter, and all 19 cities meeting national first-level standards for PM2.5 [2] - The proportion of surface water meeting or exceeding Class III standards reached 96.9%, and the nearshore water quality was rated as good at 99.7% [2] Group 2: Ecological Civilization Initiatives - The province is actively promoting the construction of the national ecological civilization pilot zone, with a focus on addressing prominent environmental issues and completing 170 out of 192 corrective measures from the third round of central environmental inspections [2][3] - The province is also enhancing environmental infrastructure and has achieved full coverage of provincial inspections [3] Group 3: Key Projects and Innovations - High-quality construction of the Hainan Tropical Rainforest National Park and the initiation of the "Low Carbon Island" project are underway, with over 80% of new buildings being prefabricated [3] - The province has achieved an 82.6% replacement rate of biodegradable plastic products in key industries, furthering the transition from "plastic ban" to "plastic management" [3] - Initiatives like "Six Water Co-Governance" have led to the dynamic clearance of urban black and odorous water bodies, and the "waste-free island" construction has begun with guidelines for "waste-free cells" [3] Group 4: Future Plans - The province aims to strengthen ecological environment protection and complete the "15th Five-Year" plan for the national ecological civilization pilot zone, focusing on creating beautiful cities and rural areas, as well as beautiful rivers and bays [3]

The Stock Exchange of Hong Kong Limited and the Securities and Futures Commission take no responsibility for the contents of this announcement, make no representation as to its accuracy or completeness and expressly disclaim any liability whatsoever for any loss howsoever arising from or in reliance upon the whole or any part of the contents of this announcement. Hunan Junxin Environmental Protection Co., Ltd. 湖南軍信環保股份有限公司 (A joint stock company established in the People's Republic of China with limited lia ...

Core Viewpoint - The article highlights the dedication of a couple, Cheng Weizhen and Lu Yonghong, who have been actively involved in the protection and management of ancient trees in Guangzhou's Huangpu District, showcasing the importance of grassroots efforts in environmental conservation [6][8]. Group 1: Couple's Commitment - Cheng Weizhen has been a guardian of ancient trees for six years, overseeing 2,494 trees, while Lu Yonghong has been involved for over five years, managing 2,634 trees [5]. - The couple's daily routine involves thorough inspections of ancient trees, ensuring their protection from construction and other potential threats [11][12]. - They have developed a strong emotional connection with the trees they protect, often relating their experiences to the health and vitality of these ancient beings [33][35]. Group 2: Community and Technological Support - Guangzhou has established a comprehensive system for ancient tree protection, involving government leadership, local responsibility, and community participation [61]. - The city has implemented a smart management information system for ancient trees, which includes QR codes for identification and utilizes advanced technologies for tree health assessments [65][66]. - Community engagement initiatives, such as the "Green Beautiful Guangzhou" fund and partnerships with organizations, have raised awareness and support for ancient tree conservation [72][78]. Group 3: Challenges and Achievements - The couple faces various challenges, including negotiating with construction teams to ensure tree safety and addressing community members who may inadvertently harm the trees [16][18]. - They have successfully documented and reported tree conditions using a dedicated app, facilitating timely interventions for tree health issues [24][32]. - The couple's efforts have contributed to a broader cultural shift in Guangzhou, where ancient trees are increasingly recognized as vital components of the city's heritage and community identity [52][80].

Group 1 - The first "Technology Innovation + M&A Notes" dual-label bond in Sichuan has been successfully issued, marking a significant innovation in financial support for green technology and ecological environmental industry mergers [1] - The bond, issued by Sichuan Ecological Environmental Industry Group, has a scale of 800 million yuan, a term of 3 years, and a coupon rate of 1.99%, with both the issuer and bond rated AAA [1] - The funds raised will be specifically used for equity investment and technological innovation, focusing on upgrading technology in the environmental sector and strengthening the industrial chain [1] Group 2 - The introduction of such "dual-label" bonds enriches the bond market product system and provides strong financial tools for real enterprises, especially in the environmental technology sector, to enhance their innovation capabilities through mergers and acquisitions [2] - This initiative is seen as a beneficial exploration for achieving a virtuous cycle between technology, industry, and finance [2]

Core Insights - The article highlights the ongoing efforts in a province of the Yangtze River Delta to enhance ecological risk prevention facilities for enterprises and parks, yet identifies significant issues in the management of secondary wastewater, particularly from firefighting runoff [1][2] Group 1: Current Challenges - Secondary wastewater, primarily from firefighting runoff, is a major contributor to water pollution during ecological emergencies [1] - Despite emergency measures like closing rainwater valves, there are still instances of firefighting runoff being discharged into rivers, leading to environmental damage [1][2] - Many enterprises lack adequate control measures for firefighting runoff in their emergency response plans, often oversimplifying the approach to just closing rainwater outlets [2] Group 2: Infrastructure Issues - Aging and damaged pipeline infrastructure in some enterprises increases the risk of firefighting runoff leakage, as there are often unsealed outlets and abandoned pipelines [2] - The design capacity of emergency pools and pipelines in certain enterprises is insufficient to handle the large volumes of firefighting runoff generated during emergencies [2] - Various structural weaknesses, such as gaps in factory gates and cracks in walls, can serve as pathways for firefighting runoff to escape [2][3] Group 3: Recommendations for Improvement - It is essential to strengthen the control of firefighting runoff at the source by conducting comprehensive risk assessments and identifying weaknesses in emergency response capabilities [2] - Enterprises should be encouraged to upgrade their pipeline systems and increase the capacity of emergency pools to better manage firefighting runoff [2] - A collaborative approach between ecological environment departments and firefighting units is recommended to enhance risk prevention capabilities and ensure effective emergency response [3]

Core Viewpoint - The city of Liaocheng is enhancing pollution emission control for non-road mobile machinery by announcing the first batch of cancellations for machinery that meets the criteria for deregistration, specifically targeting those with National II and below emission standards [1][7]. Group 1: Regulatory Actions - The Liaocheng Ecological Environment Bureau has published a public notice for the cancellation of 42 non-road mobile machinery units that no longer meet operational conditions due to reasons such as being sold for scrap, lost, or destroyed [7]. - This cancellation process is in accordance with the requirements set by the Shandong Provincial Ecological Environment Department regarding the control of pollution emissions from non-road mobile machinery and the replacement of machinery that meets National II emission standards [7]. Group 2: Public Participation - Machinery owners are required to apply for the cancellation of their environmental numbers through the "Liaocheng Non-Road Mobile Machinery Supervision Platform" via a WeChat mini-program during the public notice period from January 28 to February 5, 2026 [7]. - If there are any objections to the cancellations, machinery owners can submit written feedback to the Liaocheng Ecological Environment Bureau during the public notice period [7].

Core Insights - The article discusses the integration of AI-assisted decision-making technology based on large language models in air pollution prevention, aiming to transform decision-making from reactive to proactive approaches [1]. Group 1: Technology Application and Initial Results - The Daxing District Ecological Environment Bureau has developed multiple air quality analysis agents, creating an intelligent closed-loop process of "perception-planning-execution-presentation" [2]. - The system can accurately identify user queries in natural language, such as pollution causes at specific locations and times, and link relevant meteorological data and pollution source information for deeper analysis [2]. - Workflow planning and routing have become more intelligent, allowing the system to break down complex requests into sub-tasks and automatically coordinate data queries and model calculations [2]. Group 2: Interactive Responses and Presentation of Results - The system generates readable and practical analysis results, including professional charts for PM2.5 events, and provides specific conclusions and recommendations for pollution inspection [3]. Group 3: Challenges and Issues - Limitations of large language models include risks of generating fabricated data and conclusions, which can affect decision-making accuracy [4]. - The current application of the intelligent agent is primarily focused on data queries and simple rule judgments, with decision accuracy in complex scenarios needing improvement [4][5]. - Data quality and heterogeneity issues hinder the intelligent agent's judgment and model simulation results, with current interactions being superficial rather than deeply integrated [5]. Group 4: System Optimization and Application Results - The Daxing District Ecological Environment Bureau has optimized the air quality analysis system by enhancing knowledge base construction and improving reasoning frameworks [6][7]. - A business-oriented AI-assisted decision-making platform has been established, integrating multiple intelligent agents for comprehensive analysis [8]. - The new system significantly improves data collection and analysis efficiency, allowing for rapid pollution source identification within five minutes [8]. Group 5: Future Outlook - The future of AI-assisted decision-making in air pollution prevention is expected to evolve with new scenarios and deeper functionalities, expanding from monitoring to comprehensive management systems [9]. - The integration of multi-source data and models will lead to a more intelligent and dynamic decision-making process, transitioning from experience-driven to intelligence-driven governance [9].

Group 1 - The core viewpoint of the news is that China's intellectual property (IP) landscape is showing significant progress, with a focus on increasing the number of high-value invention patents and enhancing the contribution of patent-intensive industries to GDP [1][2] - By the end of 2025, the effective number of invention patents in China (excluding Hong Kong, Macau, and Taiwan) is expected to reach 5.32 million, with a high-value invention patent ownership rate of 16 per 10,000 people [1] - The value added of patent-intensive industries is projected to account for 13.38% of GDP by 2024, exceeding the targets set in the "14th Five-Year Plan" for intellectual property [1] Group 2 - The growth rate of high-value invention patents in China is 2.2 percentage points higher than the overall growth rate, with the total number reaching 2.292 million [1] - Key sectors such as information technology management, computer technology, and medical technology are experiencing the fastest growth in effective invention patents [1] - The value added of the digital economy-related industries within patent-intensive sectors is continuously increasing, with the combined value added of information and communication technology manufacturing and services reaching nearly 8 trillion yuan, accounting for over 40% of the total [2] Group 3 - The National Intellectual Property Administration plans to enhance legal protections for intellectual property, including comprehensive revisions to trademark laws and regulations for integrated circuit layout design [2] - The focus will also be on improving the protection of intellectual property in new fields such as artificial intelligence and data [2] - The next phase of the "15th Five-Year Plan" will involve optimizing the indicators for high-value invention patent ownership per 10,000 people, emphasizing the quality of patents and fostering the development of core high-value patents [2]