Data are the foundation of urban storm and flood disaster management and research; therefore, the question of how to improve the efficiency of data management and service systems has become the central issue in the field of urban flood disasters. In this study, a data management framework for urban flood disasters was established on the basis of ontology engineering in order to analyze heterogeneous data collected from different sources. Based on the ontology framework, the concepts of data were extracted and classified, and the relationships between these concepts were also identified and determined. On the basis of the proposed framework, the complete and comprehensive flood disaster information for Zhengzhou City could be queried and retrieved. Finally, the impact indices of the factors influencing flood disasters were calculated using this ontology-based framework; thus, the factors that have the greatest impact on flood disasters were determined. The results show that rainfall duration and intensity have the greatest impact on flood disasters with impact indices of 0.99 and 0.93, respectively, while river density and slope have less influence, with an impact index not exceeding 0.1. The results provide a basis for the flood disaster data management and its application.

中文翻译：

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基于本体的异构数据管理框架及其在城市洪灾中的应用

数据是城市暴雨和洪水灾害管理和研究的基础；因此，如何提高数据管理和服务系统效率已成为城市洪水灾害领域的核心问题。在这项研究中，建立了一个基于本体工程的城市洪水灾害数据管理框架，以分析从不同来源收集的异构数据。基于本体框架，提取并分类了数据的概念，并确定和确定了这些概念之间的关系。在提出的框架基础上，可以查询和检索郑州市的完整，全面的洪水灾害信息。最后，利用这种基于本体的框架，计算了洪水灾害影响因素的影响指数。因此，确定了对洪灾影响最大的因素。结果表明，降雨持续时间和强度对洪水灾害的影响最大，影响指数分别为0.99和0.93，而河流密度和坡度影响较小，影响指数不超过0.1。研究结果为洪水灾害数据管理及其应用提供了依据。冲击指数不超过0.1。研究结果为洪水灾害数据管理及其应用提供了依据。冲击指数不超过0.1。研究结果为洪水灾害数据管理及其应用提供了依据。