ISSN 1000-3665 CN 11-2202/P

    基于云架构的区域地质灾害易发性评价与区划系统研究

    A Study on the Development of a Cloud-Based Technical System for Regional Geohazard Susceptibility Assessment and Zoning

    • 摘要: 为解决地质灾害易发性评价中存在的同级评价结果不可比、多级评价结果不一致等问题,高效支撑国家、省、市、县各级地质灾害易发分区划定。基于多级地质灾害易发性评价指标体系,综合采用海量时空数据一体化管理、时空云计算框架构建、多模态时空大数据智能化动态缓存与实时调用等关键技术,研发了全域地质灾害易发性数字评价与区划技术系统。该系统实现了地质灾害易发性评价与区划全流程信息化管理,涵盖指标仓库构建、多级评价单元自动提取、同级易发性锚定、多级易发性特征聚合,以及易发性评价结果自动校验等关键环节。系统可解决不同层级评价结果的可比性与一致性,将显著提升地质灾害易发性评价与区划的科学性、规范性和高效性,为地质灾害易发性评价提供技术支撑。

       

      Abstract: In order to address issues such as the lack of comparability of geohazards susceptibility assessment results at the same level and inconsistencies across multiple levels, and to effectively support the delineation of geohazards susceptibility zones at the national, provincial, municipal, and county levels, the following approach has been adopted. Based on a multi-level evaluation and constraint indicator system for geohazards susceptibility, this initiative leverages key technologies—including integrated management of massive spatio-temporal data, cloud-based spatio-temporal computing frameworks, and intelligent dynamic caching with real-time access for multi-modal geospatial big data. It develops a comprehensive digital system for susceptibility assessment and zoning. This system digitizes the entire workflow, from constructing an indicator repository and automatically extracting multi-level evaluation units to performing multi-level assessments, anchor calibration at each level, aggregating results, and automated verification. The replicable and scalable system facilitates computational support for multi-level geohazards susceptibility evaluation. The system is designed for replicability and scalability.

       

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