摘要
随着大数据技术的发展,基于大数据技术开展城市暴雨洪涝研究成为热点。根据城市防洪工作中对暴雨洪涝相关数据的业务需求,在对多源异构数据分析的基础上,设定洪水敏感性因素分析主题,构建相应的多维数据组织模式,建立城市暴雨洪涝数据仓库,有效地对城市暴雨洪涝多源异构数据进行储存、管理与组织。基于洪水敏感性因素分析主题数据仓库,利用关联规则分析进行数据挖掘,识别不同敏感性因素与洪水度量之间的关联规则,归纳出敏感性因素与洪水过程之间的关系,结果表明:将城市暴雨洪涝数据集成到数据仓库中并进行相关的数据挖掘操作,可以为防洪决策提供新的可行途径。
With the development of big data technology, research on urban rainstorm and floods based on big data technology has become a hot issue. According to the demand of rainstorm data in urban flood control work, the topic of flood sensitivity factor analysis had been established based on the analysis of multi-source heterogeneous data. The corresponding multidimensional data organization model and urban rainstorm data warehouse had been constructed to effectively store, manage and organize urban flooding multi-source heterogeneous data. Based on the data warehouse of the flood sensitivity factor analysis topic, the association rule analysis was used for data mining. It successfully identified the rules between sensitivity factors and flood metrics, and obtained the relationship between sensitivity factors and flood processes. This study proves that integrating urban rainstorm data into data warehouse and carrying out related data mining operations can provide new feasible ways for flood control decision-making.
作者
江子皓
王慧亮
吴泽宁
胡润停
JIANG Zihao;WANG Huiliang;WU Zening;HU Runting(School of Water Conservancy and Environment, Zhengzhou University, Zhengzhou 450001, China;Henan Koda Water Conservancy Survey and Design Co.,Ltd., Zhengzhou 450000,China)
出处
《人民黄河》
CAS
北大核心
2019年第4期27-30,共4页
Yellow River
基金
国家自然科学基金重点项目(51739009)
关键词
城市暴雨洪涝
数据仓库
关联规则
数据挖掘
urban rainstorm and flood
data warehouse
association rules
data mining
