朱晓寒, 李向阳, 刘昭阁. 大数据环境下城市内涝灾害的情景维度模型构建[J]. 武汉大学学报 ( 信息科学版), 2020, 45(11): 1818-1828. DOI: 10.13203/j.whugis20190225
引用本文: 朱晓寒, 李向阳, 刘昭阁. 大数据环境下城市内涝灾害的情景维度模型构建[J]. 武汉大学学报 ( 信息科学版), 2020, 45(11): 1818-1828. DOI: 10.13203/j.whugis20190225
ZHU Xiaohan, LI Xiangyang, LIU Zhaoge. Constructing Scenario Dimension Model of City Waterlogging Under Big Data Environment[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1818-1828. DOI: 10.13203/j.whugis20190225
Citation: ZHU Xiaohan, LI Xiangyang, LIU Zhaoge. Constructing Scenario Dimension Model of City Waterlogging Under Big Data Environment[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1818-1828. DOI: 10.13203/j.whugis20190225

大数据环境下城市内涝灾害的情景维度模型构建

Constructing Scenario Dimension Model of City Waterlogging Under Big Data Environment

  • 摘要: 在大数据环境下,内涝情景描述的高频实时、交互共享、跨界数据融合和粒度缩放均成为可能;相应地,在内涝情景的表达上,更加需要从全景视角出发认知情景的全局整体关联。首先, 以全景式管理思想为指导,提出内涝灾害的多维情景框架,选取情景层次、类型和粒度3个情景维度;随后,聚焦城市、社区和居民3个典型情景层次的情景要素关联,基于数据嵌套理论,构建了基于情景嵌套的内涝灾害情景维度模型;进一步地,提出多维情景生成的迭代算法,集成多层次内涝情景数据,实现了情景描述的修正与完善;最后,通过对武汉市东湖高新区的用例分析,验证了内涝情景维度模型的合理性与有效性。

     

    Abstract:
      Objectives  Under big data environment, high frequency and real-time data collection, multi-sector interaction and data sharing, cross-border data fusion and multi-granularity data scaling of waterlogging scenario description have all become possible. Accordingly, in the representation of waterlog scenarios, it is very necessary for emergency managers to recognize the overall relevance of the scenario elements from a full-view perspective.
      Methods  Based on full-view management theory, we firstly propose a multi-dimension scenario framework of waterlogging disasters, with three dimensions selected, i.e. scenario level, scenario type and scenario granularity. Next, based on data nesting theory, focusing on the relationship of scenario elements at three typical scenario levels:city, community and residents, the scenario nesting structures are proposed, and the scenario dimension model of waterlogging disasters is constructed. Furthermore, an iterative algorithm for multi-dimension scenario generation is proposed, which integrates multi-level waterlogging scenario data and realizes the modification and improvement of scenario description. Finally, through a case study in Donghu, Wuhan City, the reasonability and validity of the proposed model are verified.
      Results  The case results show that through the various generic scenario elements and their associations provided by the proposed scenario dimension model, the scenario information of various administrative levels can be generated for effective scenario recognition and waterlogging response. Compared with traditional scenario representation, the proposed model shows advantages in multi-level scenario representation, dynamic scenario element nesting and multi-party interaction.
      Conclusions  The waterlogging scenarios of different levels, types and granularities interact with each other. Through the establishment of scenario dimension model, those scenario elements can be associated, which is greatly helpful for understanding waterlogging scenario information and makes the emergency response more effective.

     

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