秦岭生态地质环境监测研究进展与智能化监测体系构建

Research Progress in Eco-Geological Environmental Monitoring and Construction of an Intelligent Monitoring System in the Qinling Mountains

  • 摘要: 秦岭是中国南北自然地理分界线和核心生态安全屏障。受地形、气候与人类活动等要素共同塑造,其生态地质环境垂直分异显著,各要素间联系紧密。系统梳理了秦岭土壤、水环境、植被、生物多样性、气象和人类活动等六大生态地质要素的监测进展,以及天-空-地多源监测技术的应用现状,并总结出现有监测指标体系不完善、数据时空连续性不足,以及跨部门数据共享与业务协同困难等主要问题。在此基础上,依托“秦岭北麓山水林田湖草沙一体化保护和修复工程”,构建了秦岭北麓生态地质环境智能化监测体系。基于星载遥感、无人机遥感、样方调查、采样测试、固定设备监测等天-空-地协调监测手段,实现了对六大要素的标准化监测。通过整合历年遥感影像、野外调查数据及130余套设备的在线观测数据,建立基线普查与动态观测数据库,开发了集数据管理、生态研判、风险预警和跨部门协同决策于一体的生态智能大数据管理平台。基于该体系,分析了秦岭北麓生态地质环境质量的时空变化,并以生态恢复与灾害风险、水环境质量差异、生物多样性格局及保护地优化为例,验证了监测体系的实际应用能力。结果表明,秦岭北麓生态环境总体持续改善,修复成效显著,多要素联合监测能有效识别潜在风险,为实施分区保护与精准修复提供了科学依据。所构建的监测体系实现了数据采集、融合分析、风险研判与管理应用的衔接,可为秦岭其他区域开展生态修复成效评估、保护地优化、水环境管理和地质灾害防控提供有效参考。

     

    Abstract: The Qinling Mountains serve as a crucial natural geographical boundary between northern and southern China and a core national ecological security barrier. Co-shaped by topography, climate, and human activities, the eco-geological environment of the region exhibits distinct vertical zonation and tightly interconnected environmental elements. Here, the monitoring progress of six core eco-geological elements— soil, water environment, vegetation, biodiversity, meteorology, and human activities,is systematically reviewed. The current application of space-air-ground multi-source monitoring technologies is summarized, and major existing challenges are identified, including incomplete monitoring indicator systems, insufficient spatiotemporal continuity of data, and obstacles in cross-departmental data sharing and operational synergy. To address these challenges, leveraging the“Integrated Protection and Restoration Project of Mountains, Rivers, Forests, Farmlands, Lakes, Grasslands, and Deserts at the Northern Foot of the Qinling Mountains”,an intelligent eco-geological environmental monitoring system was constructed for the northern foot of the Qinling Mountains. Utilizing coordinated space-air-ground monitoring techniques, including spaceborne remote sensing, unmanned aerial vehicle remote sensing, quadrat surveys, sample testing, and fixed-equipment monitoring,standardized monitoring across the six key elements was achieved. By integrating historical remote sensing imagery, field survey data, and real-time observation data from over 130 sets of online devices, a baseline census and dynamic observation database was established. Furthermore, an ecological smart big data management platform was developed, integrating data management, ecological evaluation, risk early warning, and cross-departmental collaborative decision-making. Based on this system, the spatiotemporal dynamics of eco-geological environmental quality at the northern foot of the Qinling Mountains were analyzed. The practical applicability of the monitoring system was validated through four representative cases: ecological restoration and disaster risk, water environment quality variations, biodiversity patterns, and protected area optimization. The results indicate that the overall ecological environment at the northern foot of the Qinling Mountains has continuously improved, yielding significant restoration efficacy. Multi-element combined monitoring effectively identifies potential risks, providing a scientific basis for zoned protection and precision restoration. The constructed monitoring system achieves seamless integration among data collection, fusion analysis, risk assessment, and management applications, serving as a practical reference for assessing ecological restoration effectiveness, optimizing protected areas, managing water environments, and preventing geological hazards across other regions of the Qinling Mountains.

     

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