队伍活力受限，人才梯队断层。"铁打的位子"会无形中阻塞年轻骨干和优秀人才的上升通道，使其产生 职业发展"天花板"预期，可能导致工作积极性受挫，甚至出现人才流失或"躺平"现象。这不仅影响队伍 整体的士气与活力，更可能导致关键技术岗位后继无人，影响监测事业的可持续发展。 推进交流任职的对策建议 为解决这一问题，笔者认为应系统推进市州监测机构领导干部特别是主要负责人的轮岗交流。 当前，省以下生态环境监测机构垂直管理制度改革已全面落实，市州监测中心作为省生态环境厅直属单 位，其人事管理权已完全上收至省级层面。这一重大变革，为实现监测系统领导干部的统筹调配、有序 流动提供了制度保障。然而当前在部分市州监测机构中，仍存在"班子长期不动、人员一岗终身"的现 象。一些领导班子成员在同一职位任职时间超过10年，这既不符合关于事业单位领导人员任期管理的原 则性要求，也会对监测事业健康发展带来一定隐患。 领导干部长期不轮岗的主要弊端 领导班子长期不轮岗，所带来的负面影响是多方面的。 思维容易固化，创新意识不强。长期在一个地方、一家单位、一个岗位工作，容易形成固定的工作模式 和思维定式。面对监测技术快速更新、管理要求不断提高的新形势 ...

Core Insights - The ecological status assessment report highlights significant improvements in key regions of China, indicating effective ecological protection and restoration efforts [1][3] Group 1: Ecological Improvements - The Yellow River basin has established a governance system that promotes collaboration between central and local authorities, leading to improved ecosystem quality and a vegetation "green line" extending approximately 300 kilometers to the northwest [3] - The ecological quality of the Yangtze River Economic Belt's tributaries is improving year by year, with a notable recovery trend in over 50% of the important ecological spaces in the Qinling region [3] - Desertification in typical areas has decreased, with a 12.9% reduction in sandification in the Yellow River "bent" region [3] Group 2: Air Quality Enhancements - The average PM2.5 concentration across 339 cities is 28.0 micrograms per cubic meter, a year-on-year decrease of 4.4%, while PM10 concentration is 48 micrograms per cubic meter, down 2.0% [5] - The proportion of days with good air quality, excluding days with abnormal dust levels, is 89.3%, an increase of 1.9 percentage points year-on-year [7] - In the Beijing-Tianjin-Hebei region, the average PM2.5 concentration is 37.3 micrograms per cubic meter, down 11.6%, with a good air quality day ratio of 73.8%, up 5.5 percentage points [11] Group 3: Water Quality Improvements - The proportion of water quality monitoring sites with good water quality (Class I-III) is 91.4%, an increase of 1.0 percentage point year-on-year, with a 0.6% proportion of poor quality sites [12] - In major river basins, the proportion of good water quality sites is 93.0%, up 0.6 percentage points, while the proportion of poor quality sites is 0.4%, up 0.1 percentage points [12] - Among 209 monitored key lakes and reservoirs, 78.5% have good water quality, an increase of 1.4 percentage points, while the proportion of poor quality lakes has decreased by 1.0 percentage point to 3.3% [12] Group 4: Pollution Prevention Achievements - During the 14th Five-Year Plan period, significant progress has been made in pollution prevention, including the completion of ultra-low emissions transformation for 940 million tons of crude steel production capacity [13] - The clean heating rate in northern regions has reached 83%, and the remediation completion rates for important rivers and lakes are 95% and 99%, respectively [13] - The construction of "waste-free cities" is being progressively advanced, and actions for managing new pollutants are being implemented [13]

Core Viewpoint - The Ministry of Ecology and Environment has announced the inclusion of two ecological quality comprehensive monitoring stations in Yunnan, bringing the total to 12 in the province, ranking second nationally [1][2]. Group 1: Monitoring Stations - Yunnan Dazhongbao Meadow Station and Yunnan Dianchi Station have been selected as part of the third batch of ecological quality comprehensive monitoring stations [1]. - The total number of ecological quality comprehensive monitoring stations in China has reached 214 [1]. Group 2: Ecological Coverage - The selected monitoring stations in Yunnan cover major ecosystem types, including cold temperate coniferous forests, mid-mountain wet evergreen broadleaf forests, and key plateau lakes [1]. - The monitoring areas comprehensively cover seven key ecological protection areas outlined in the "14th Five-Year Plan" for ecological protection and supervision in Yunnan [1]. Group 3: Future Plans - The provincial ecological environment department plans to enhance the construction of ecological quality comprehensive monitoring stations and expedite the development of operational management measures [2]. - The goal is to establish a standardized and regulated operation of the comprehensive monitoring network, transforming it into a leading demonstration area for the digital transformation of ecological environment monitoring [2].

Core Viewpoint - The implementation of the new regulation "Supplementary Requirements for the Qualification Accreditation of Environmental Monitoring Institutions (2025)" aims to enhance the quality of ecological environment monitoring data and sets stringent requirements for the monitoring industry [1] Group 1: New Regulation Requirements - The new regulation mandates that monitoring institutions should generally have no fewer than 20 personnel and raises standards for professional capabilities [1] - The optimization and adjustment of district-level monitoring institutions is identified as a critical task to meet the new requirements [1] Group 2: Challenges Faced - Personnel shortages in some district-level ecological environment monitoring stations hinder their ability to meet the new 20-person threshold, revealing a significant shortfall [2] - Specific examples include a monitoring station with a staffing of 14 out of a 16-person allocation and another with only 8 out of a 10-person allocation [1][2] Group 3: Implications of Personnel Shortages - Personnel shortages may lead to three main issues: 1. Impaired fulfillment of legal functions, affecting monitoring frequency and coverage [2] 2. Limited technical capability due to small personnel size and lack of diverse expertise [2] 3. Increased risk to data quality, as overworked staff may compromise the integrity of data collection [2] Group 4: Recommendations for Improvement - Accelerating the optimization of ecological environment monitoring institutions is essential to enhance governance capabilities and meet the demands of precise pollution control [2] - Encouraging regional integration of monitoring resources to form comprehensive environmental monitoring centers can improve efficiency and effectiveness [3] - Strengthening city-level coordination and establishing collaborative mechanisms are recommended to ensure data quality and allow district stations to focus on routine tasks [3] Group 5: Support and Sustainability - The success of the new regulation requires adequate support, including scientifically determining personnel allocations and ensuring stable financial input for laboratory construction and equipment updates [4] - Establishing a systematic training and assessment framework is crucial for continuous improvement of personnel capabilities [4] - The implementation of the new regulation presents both challenges and opportunities for restructuring and upgrading the grassroots monitoring system [4]

Core Viewpoint - The implementation of the "Ecological Environment Monitoring Regulations" aims to establish a comprehensive ecological environment monitoring network that integrates land and sea, space and ground, and promotes information sharing, utilizing advanced remote sensing technologies like satellites and drones to enhance ecological protection efforts [1][2]. Group 1: Remote Sensing Technologies - Remote sensing technologies, including satellites and drones, are essential for ecological monitoring and protection due to their high precision, short cycle, and comprehensive capabilities [1]. - The Ministry of Ecology and Environment has significantly improved its satellite remote sensing capabilities since the 14th Five-Year Plan, currently operating seven ecological environment satellites to form a multi-satellite monitoring system [1][2]. Group 2: Habitat Monitoring - High-frequency satellite data serves as a powerful tool for low-cost detection of habitat destruction, enabling timely monitoring of human activities within critical habitats [2]. - The remote sensing monitoring system established by the Ministry includes regular monitoring of ecological protection red lines and natural reserves, providing robust support for habitat management [2]. Group 3: Drone Applications - Drones are widely used in ecological monitoring due to their flexibility, high resolution, and cost-effectiveness, bridging the gap between ground surveys and satellite data [2][3]. - In Inner Mongolia, drones can automatically collect grassland species data and transmit high-definition images in real-time, achieving an identification accuracy of 88.6% for various plant species [3]. Group 4: Future Developments - New technologies, such as medium fixed-wing drones and multifunctional ecological patrol vehicles, are being developed to enhance habitat information collection and wildlife monitoring [3][4]. - Experts suggest that further integration of remote sensing technology with artificial intelligence will lead to more advanced ecological monitoring systems, contributing significantly to the construction of a beautiful China [4].

Core Viewpoint - The article discusses the release of 160 national standard samples by the State Administration for Market Regulation (SAMR) and the National Standards Committee, which aim to enhance product quality, promote technological advancement, ensure public safety, and facilitate green development across various sectors including industry, agriculture, and services [1]. Group 1: Industrial Standards - The new standard samples focus on key strategic materials such as steel, non-ferrous metals, and construction materials, significantly improving the levels of independent research and development, precise smelting, and quality control in these areas [1]. Group 2: Environmental Standards - Standard samples related to persistent organic pollutants, heavy metals, and volatile organic compounds are introduced to provide reliable technical support for continuous and precise monitoring and governance of air, water, and soil environments, aiding in pollution prevention efforts [1]. Group 3: Biological Standards - The introduction of qualitative standard samples for bacteria and viruses will enhance detection efficiency, providing critical support for biotechnology research and disease prevention, thereby contributing to national biosecurity and global public health system development [1]. Group 4: Agricultural Standards - New sensory grading and physical property standards for important agricultural products like tea and cotton will establish a unified and standardized quality evaluation system, promoting agricultural standardization and enhancing the recognition and competitiveness of agricultural products in domestic and international markets [1].

同时，常熟拓展数智化应用场景，打造全国首个全链条国产化噪声治理体系，通过布设监测网络、 搭建噪声大数据平台，推动形成"监测—评价—治理"闭环，相关实践获央视等媒体报道。常熟还构建长 江水源地"水、空、岸"一体化安全监测体系，实现全天候智能监控。 近日，生态环境部公布全国首批县（区、市）生态环境监测数智化优秀案例名单，共八个案例入 选，涵盖多种环境治理场景。常熟申报的《AI驱动智慧环境监测体系建设》案例上榜，标志着该市在 生态环境监测数字化、智能化转型方面走在全国前列。 常熟以江苏省智能环境治理实验子基地建设为契机，构建"水、气、声"全要素贯通、"监测—监管 —治理"全流程覆盖的立体化智慧监测体系。在智慧监管方面，常熟率先建成"非现场任务调度中心"， 整合高空鹰眼、无人机巡航、视频人工智能识别等技术。通过视频分析，系统可自动识别在线监测站 房、排污口等关键点位的人员活动，并与监测数据动态关联，有效识别数据异常，助力精准执法。2024 年以来，已通过非现场方式办理案件八起，其中一起涉嫌刑事犯罪。 ...

Core Viewpoint - Gansu Province is establishing a comprehensive environmental monitoring network covering air, water, soil, noise, and ecological factors to enhance visibility and measurement of ecological changes during the "14th Five-Year Plan" period [1][2]. Group 1: Air Quality Monitoring - Gansu has built a monitoring network consisting of 36 national control and 113 provincial control automatic air quality stations, achieving full coverage at the city, county, and key town levels [1]. - The province has deployed 26 laser radars for particulate matter and 6 for wind measurement, creating a three-dimensional monitoring system for sand dust [1]. - An integrated air quality forecasting system has been established, which includes automatic carbon monitoring stations in Lanzhou and Tianshui, marking a new phase of digital intelligence in air quality monitoring [1]. Group 2: Water Quality Monitoring - Gansu has set up 74 national control and 67 provincial control monitoring sections for surface water, covering three major river basins and nine water systems [2]. - The province has established 27 national control and 14 provincial control automatic water quality monitoring stations, along with 12 automatic early warning stations [2]. - Regular monitoring of drinking water sources has been conducted in 142 counties, with ecological monitoring at 59 national control points to assess aquatic biodiversity [2]. Group 3: Soil and Noise Monitoring - A soil environment monitoring network has been constructed with 1,293 national control and 1,184 provincial control points to support regulatory oversight of key industries [2]. - 125 automatic noise monitoring stations have been established in urban functional areas to accurately identify noise quality and provide data for addressing local noise issues [2]. Group 4: Ecological Quality Monitoring - Gansu has set up 659 national control ecological quality monitoring plots, achieving full coverage at the county administrative level, encompassing seven major ecosystems [2]. - The province is advancing the construction of ecological monitoring stations in national parks, including Qilian Mountain and the giant panda national park in Longnan [2]. - Collaboration with institutions like the Chinese Academy of Sciences and Lanzhou University has led to the inclusion of eight sites in the national ecological quality comprehensive monitoring network [2].

Core Viewpoint - Guangdong Province has initiated the "Remote Sensing AI Capability Enhancement Project," marking a significant step in establishing an integrated ecological environment monitoring system that combines satellite, aerial, and ground data [1][3]. Group 1: Project Overview - The Remote Sensing AI Capability Enhancement Project aims to enhance the intelligence, precision, and localization of ecological environment monitoring through a cloud service platform and intelligent interpretation services [1][3]. - This project aligns with national strategies to promote green development and digital transformation in ecological monitoring [2][3]. Group 2: Remote Sensing Data Cloud Platform - The Remote Sensing Data Cloud Platform is a key component of the project, utilizing domestically produced hardware and software to create an automated and visualized remote sensing data processing system [5]. - The platform supports multi-source data integration, including optical, radar, and infrared satellite data, and can process tens of thousands of square kilometers of data per hour [5][6]. Group 3: Intelligent Interpretation Platform - The project includes the development of an intelligent interpretation platform that addresses inefficiencies in traditional remote sensing interpretation by utilizing a unified sample library and AI models [8][9]. - The platform has achieved an average interpretation accuracy of over 90% and can significantly enhance the speed and precision of ecological monitoring tasks [9]. Group 4: Integrated Monitoring System - The project integrates the remote sensing data cloud platform with the intelligent interpretation platform to create a comprehensive ecological monitoring model that enhances data analysis and decision-making capabilities [11]. - This system has already been applied in various ecological monitoring tasks, leading to the identification of over 300 ecological damage clues and supporting more than 50 enforcement actions [11]. Group 5: Domestic Innovation and Control - The project emphasizes domestic innovation by utilizing local satellite data and developing all core components in-house, which enhances the autonomy and security of the ecological monitoring system [13]. - This initiative is seen as a significant exploration in achieving a fully domestic supply chain for ecological monitoring technologies in China [13]. Group 6: Future Prospects - The project aims to expand the application of remote sensing AI technology in various ecological fields, including carbon sink monitoring and biodiversity assessment, to build a comprehensive intelligent governance system [15]. - Guangdong Province plans to collaborate with national environmental authorities and research institutions to establish a joint laboratory for ecological environment remote sensing AI, contributing to national standards and talent development [15].

来源 | 中国环境出版集团 近日，国务院发布《生态环境监测条例》（以下简称《条例》），2026年1月1日正式施行。作为我国生 态环境监测领域首部综合性行政法规，其出台标志着生态环境监测工作全面迈入法治化、规范化、高质 量发展的新阶段。《条例》明确了监测的总体要求、加强公共监测、规范企事业单位自行监测和技术服 务机构的行为、强化监督管理、防范和惩治监测数据弄虚作假行为。 本书由生态环境部生态环境监测司编写，收录了《条例》全文，司法部、生态环境部负责人就《条例》 答记者问，《条例》媒体吹风会重点问题，《条例》权威解读等方面内容，帮助各级生态环境监测人 员、执法人员、企事业单位、技术服务机构及广大环保从业人员准确理解、深入把握《条例》的核心要 义与实践要求，共同筑牢美丽中国建设的监测基石。 ...