Workflow
Zhong Guo Zi Ran Zi Yuan Bao
icon
Search documents
“智斗”浒苔绿潮
绿潮是海洋中一些大型绿藻在一定环境条件下暴发性增殖或聚集达到某一水平,导致生态环境异常的一种现象。自上世纪六七十年代以来,绿潮在许多 国家频繁暴发,已演变为全球性的海洋生态灾害。 我国黄海浒苔绿潮是在开阔海域发生、长距离漂移发展的大规模绿潮,其防控难度较大。为进一步强化我国对黄海浒苔绿潮的监测预警能力,自然资源 部北海局将"浒苔绿潮灾害监测预警能力提升项目"纳入三年行动重点项目。该项目由北海预报减灾中心牵头实施,北海生态中心参与,系统开展了"空-天- 海-岸"立体监测、全周期预测预警、智能处置决策支持等核心技术攻关,取得了一系列实用、可靠的高质量成果,显著提升了对浒苔绿潮灾害的监测预警与 防控处置决策支撑能力。 智能指挥决策支持 面对浒苔绿潮精准打捞的需求,项目团队创新提出了浒苔绿潮高概率分布区域划定方法和多时空尺度打捞效果评估方法。通过构建打捞船舶协同处置智 能调度模型,研制北海区浒苔绿潮前置打捞监管平台,形成了一套集"多源数据采集-态势综合推演-船舶智能调度"于一体的智能决策支持系统。 "空天海岸"高效协同 精准掌握浒苔动态分布,是防控绿潮的关键第一步。针对传统浒苔绿潮监测技术手段单一、精度不足、时效性差 ...
《二○二四年海南省海洋生态预警监测公报》发布
Core Viewpoint - The Hainan Provincial Oceanic Administration has released the "2024 Hainan Marine Ecological Early Warning Monitoring Bulletin," indicating a stable overall marine ecological status in Hainan's coastal waters for 2024, with a focus on monitoring various marine ecosystems and addressing ecological issues such as red tides and coastal erosion [1] Group 1: Monitoring and Assessment - In 2024, Hainan will conduct trend monitoring of coastal marine ecosystems, covering 16 areas across 7 types of typical marine ecosystems, including coral reefs and seagrass beds [1] - Early warning monitoring will be implemented in 2 high-risk areas for red tide disasters, along with emergency tracking for red tide and golden tide events [1] Group 2: Ecological Status - The bulletin indicates that the overall marine ecological status remains stable, with coral reefs and seagrass beds primarily rated as excellent, while other ecosystems like mangroves and coastal areas are in good condition [1] - Attention is still required for ecological disasters and issues such as red tides and coastal erosion [1] Group 3: Future Actions - The Hainan Provincial Oceanic Administration plans to enhance marine ecological monitoring efforts, aiming to improve the diversity, stability, and sustainability of marine ecosystems [1] - These efforts are intended to support the development of the national ecological civilization pilot zone and the Hainan Free Trade Port [1]
蓝海逐“能”应向全产业链发展
Core Viewpoint - The development and utilization of marine energy is becoming a crucial part of sustainable development strategies globally, driven by environmental concerns and energy security awareness [1][3]. Current Status of Marine Energy Development in China - China has a vast marine area with rich marine energy resources, and as of the end of 2023, the total installed capacity of marine energy exceeds 12,000 kilowatts, ranking fourth in the world [3]. - The government has integrated marine energy development into the legal framework, setting a target of 400,000 kilowatts of installed capacity by 2030 [3]. Technological Achievements in Marine Energy - China has made significant technological advancements in marine energy, including the commercial operation of the Zhejiang Jiangxia tidal experimental power station for over 40 years and the delivery of the first 500-kilowatt wave energy device in 2020 [4]. - The country leads globally in installed capacity for wave energy, tidal current energy, and tidal energy, with substantial engineering experience accumulated [4]. Marine Energy Industry Chain Analysis - The marine energy industry chain encompasses resource development, technology research, equipment manufacturing, engineering construction, operation maintenance, and energy utilization [6]. - Upstream focuses on resource investigation and technology development, while midstream emphasizes equipment manufacturing and engineering construction [6]. Downstream Operations and Energy Utilization - Downstream activities involve the operation and maintenance of marine energy stations, optimizing energy output and integrating marine energy into the grid [7][8]. - The establishment of a comprehensive energy system combining marine energy with desalination, hydrogen production, and energy storage is emphasized to enhance economic viability [8]. Marine Energy Development in Nansha - Nansha District in Guangzhou is positioned to leverage its marine advantages for economic development, with specific recommendations for advancing marine energy [10]. - Key initiatives include conducting resource surveys, enhancing planning and design, and focusing on core technology development through collaboration with research institutions [10][11][12].
河北地质二队助力构建从山顶到海洋的保护治理大格局见闻
依燕山,临渤海。这里是河北唐山。 昔日伤痕累累的椅子山,经过修复治理,如今绿意盎然,苹果、梨子挂满枝头。 翻过山,有飞鸟越过海面。 置身曹妃甸海草床生态修复项目现场,晨光轻柔,鳗草摇曳,"海底草原"随波起伏…… 近日,记者来到河北省地矿局第二地质大队(以下简称二队),深入矿山、土地、海洋生态修复项目现 场,切身感受他们勇当生态文明建设主力军,服务构建从山顶到海洋的保护治理大格局的精神风貌—— 从椅子山出发,走过平原,深入城乡,奔赴大海,以敬畏之心重塑山海,以科技之笔点染新绿。 上山,带头攻关矿山修复 "十年了,我眼看着椅子山一天天变绿。"刘艳华递给记者一个山梨,"别看它个头不大,梨味可足了。" 二队技术人员刘艳华被称为"守山人",他见证了椅子山生态修复前后的变化。 "二队的转型发展,椅子山是个新起点。"刘艳华感慨地说,"队领导班子精准研判时与势,最终确定了 方向——从找矿铁军到生态文明建设主力军,转型还是要立足地质,从'矿'字入手。2015年,队里主动 向省相关部门申请,集中技术力量打造矿山生态修复技术攻关试验区——滦州市椅子山。" 成功"拿下"椅子山,二队的矿山修复技术能力一炮而红——针对滦州市12座矿山, ...
预警早一步 治理深一层 责任细一格 西藏林芝综合施策打好地灾防范“主动仗”
Group 1 - The core viewpoint emphasizes the proactive approach taken by the Linzhi City Natural Resources Bureau in geological disaster prevention and control, shifting from passive response to active prevention [1][2] Group 2 - Strengthening monitoring and early warning systems through a combination of human and technical defenses, including the selection of 404 disaster monitoring personnel and installation of 167 general detection devices and 11 specialized monitoring devices [1] - Establishing an emergency response team for geological disasters, providing various mapping and remote sensing data for emergency support tasks [2] Group 3 - Comprehensive governance of disaster-prone areas, with 14 geological disaster management projects initiated this year, 8 of which have been completed [2] - Regular geological disaster inspections during adverse weather conditions, with a total of 10 hidden dangers identified this year [2] Group 4 - Enhancing disaster prevention knowledge through social media platforms and conducting emergency drills, with 9 drills held this year involving over 1,320 participants [3] - Organizing training sessions for disaster prevention, focusing on the identification of landslides and collapses to improve grassroots personnel's ability to detect hazards [3]
安徽桐城15座废弃矿山重披绿装 生态治理总面积达34.89公顷
Core Viewpoint - The article highlights the successful implementation of ecological restoration in mining areas in Tongcheng City, Anhui Province, showcasing a model project that integrates mining activities with environmental recovery and green development [1][2]. Group 1: Ecological Restoration Efforts - Tongcheng City has accelerated its ecological restoration work in mining areas, completing the restoration of 15 abandoned mines with a total area of 34.89 hectares [1]. - The city adheres to the principle of "mining while restoring and greening," transforming previously barren and damaged landscapes into vibrant green areas [1]. Group 2: Planning and Strategy - The city has developed the "Tongcheng City Land Space Ecological Restoration Plan (2022-2035)," which outlines clear goals and tasks for ecological restoration in mining areas, targeting a total restoration area of 124.47 hectares [2]. - A new mechanism for coordinated management of active and historical mining sites has been established to promote green mining practices [2]. Group 3: Innovative Approaches - Tongcheng City aims to achieve a win-win situation for economic and ecological benefits by integrating surplus sand and gravel from restoration projects into the municipal public resource trading platform for regulated sales [2]. - The city encourages the development of specialty industries such as greenhouse fruits and vegetables and edible fungi in restored mining areas, linking ecological restoration with rural industrial revitalization [2]. Group 4: Regulatory Measures - The city implements a "one mine, one policy" approach to manage geological disaster prevention, vegetation recovery, and land remediation, ensuring the sustainability of restoration outcomes [2]. - Public awareness campaigns are conducted to promote the concept that "lucid waters and lush mountains are invaluable assets," fostering a collaborative atmosphere for ecological governance [2].
我国首个低空高光谱遥感数据获取行业标准发布
Core Points - The newly approved standard for low-altitude hyperspectral remote sensing data acquisition is the first of its kind in China, set to be implemented on December 1, 2025 [1] - The standard addresses long-standing issues in the industry, including the lack of guiding standards, inconsistent technical processes, varying equipment performance, and significant differences in result quality [1] Group 1 - The standard was developed over nearly five years, initiated in 2020, involving multiple rounds of research, technical discussions, experiments, and expert validations [1] - It unifies technical standards, fills a gap in the industry, and provides a reference for production operations in related projects [1] - The standard clarifies technical parameters, serving as a basis for the development of related software and hardware products [1] Group 2 - The implementation of the standard is expected to enhance the quality and reliability of results, supporting more precise applications [1] - The standard will accelerate technological innovation and application, empowering industry development [1] - Low-altitude hyperspectral remote sensing technology is widely applied in various fields, including precision agriculture, ecological environment monitoring, mineral resources exploration, and emergency mapping [2]
“智斗”浒苔绿潮——北海局构建海洋灾害防控新体系纪实
绿潮是海洋中一些大型绿藻在一定环境条件下暴发性增殖或聚集达到某一水平,导致生态环境异常的一种现象。自上世纪六七十年代以来,绿潮在许多 国家频繁暴发,已演变为全球性的海洋生态灾害。 "空天海岸"高效协同 精准掌握浒苔动态分布,是防控绿潮的关键第一步。针对传统浒苔绿潮监测技术手段单一、精度不足、时效性差的痛点,项目团队综合采用卫星遥感、 无人机和人工智能等技术手段升级完善了"空-天-海-岸"立体监测体系。 团队研发了无人机监测藻情智能解译算法和图传数传一体技术,实现对浒苔绿潮分布、面积等关键信息的精准解析和实时回传,解决无人机监测过程中 藻情解译效率低、回传时效性差的难题。同时,利用准同步卫星和无人机开展浒苔绿潮覆盖面积精细化解译,建立基于多源遥感的混合像元分解技术,更真 实还原海上浒苔绿潮实际分布,显著提升浒苔绿潮覆盖面积解译精度。此外,无人机多光谱影像生物量反演模型的研发,使得大范围浒苔绿潮生物量的高效 监测成为可能。 为快速准确鉴定大型海藻种类,项目还建立了北海区大型海藻标本库,筛选出大型海藻DNA条形码,完善了分子鉴定平台。这些技术的综合应用,如 同为海上藻情处置装上了"千里眼"。 "向阳红51"船海上巡 ...
江西九江加快构建实景三维应用生态
Core Insights - The article highlights the innovative governance model established in Jiujiang, Jiangxi Province, focusing on addressing issues of data fragmentation, regulatory lag, and decision-making reliance on experience [1] - The "Real Scene 3D Jiujiang Empowering Intelligent Governance of Land Space" project has been recognized as a typical case for high-quality development innovation applications by the National Data Bureau and the Ministry of Natural Resources [1] Group 1 - The project utilizes advanced technologies such as aerial oblique photography, laser point clouds, and AI models to achieve comprehensive 3D coverage of 19,000 square kilometers, creating a high-precision twin city that integrates "green mountains, clear rivers, famous cities, and lakes" [1] - This initiative provides precise spatial data support for various scenarios including spatial planning, ecological protection, and project management [1] - The Jiujiang Natural Resources Bureau plans to deepen the application of 3D technology in natural resource management, digital economy development, and public services, aiming to enhance the "Jiujiang model" of governance driven by technology and data [1] Group 2 - The project is the first of its kind in the province to achieve full 3D coverage, which is expected to serve as a replicable and promotable model for intelligent governance of land space [1] - The ongoing efforts will focus on building a 3D application ecosystem to effectively utilize spatial geographic data as a key resource for governance [1]
大数据智能找矿预测系统获国家专利
Core Viewpoint - The recent development of a "multi-scale big data fusion-based mineral exploration prediction system" has been awarded a national invention patent, marking a significant advancement in intelligent mineral exploration prediction technology in China [1][2]. Group 1: System Development - The big data intelligent mineral exploration prediction team has created an innovative system that integrates geological big data management, data mining, multi-factor information extraction, multi-scale grid computing, intelligent prediction evaluation, and decision support [1]. - This system effectively combines geological exploration data, knowledge bases, algorithm libraries, model libraries, and software tools into a collaborative platform, enhancing the efficiency and accuracy of mineral exploration predictions [1]. Group 2: Future Directions - The construction of the big data intelligent mineral exploration prediction system is part of a demonstration initiative by the China Geological Survey to deeply integrate AI technology into geological survey applications [2]. - The team plans to further innovate by integrating cutting-edge technologies such as AI, large models, and intelligent agents into mineral exploration prediction, aiming to establish a new working model of "AI+" in geological exploration [2].