ISSN 1003-8035 CN 11-2852/P
    尹春荣, 李媛, 曲雪妍, 张艳玲, 佟彬, 杨旭东, 房浩. 中国地质灾害数据质量评价指标体系构建[J]. 中国地质灾害与防治学报, 2021, 32(4): 120-125. DOI: 10.16031/j.cnki.issn.1003-8035.2021.04-16
    引用本文: 尹春荣, 李媛, 曲雪妍, 张艳玲, 佟彬, 杨旭东, 房浩. 中国地质灾害数据质量评价指标体系构建[J]. 中国地质灾害与防治学报, 2021, 32(4): 120-125. DOI: 10.16031/j.cnki.issn.1003-8035.2021.04-16
    Chunrong YIN, Yuan LI, Xueyan QU, Yanling ZHANG, Bin TONG, Xudong YANG, Hao FANG. Formulation of an evaluation index system of geological hazard data quality in China[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(4): 120-125. DOI: 10.16031/j.cnki.issn.1003-8035.2021.04-16
    Citation: Chunrong YIN, Yuan LI, Xueyan QU, Yanling ZHANG, Bin TONG, Xudong YANG, Hao FANG. Formulation of an evaluation index system of geological hazard data quality in China[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(4): 120-125. DOI: 10.16031/j.cnki.issn.1003-8035.2021.04-16

    中国地质灾害数据质量评价指标体系构建

    Formulation of an evaluation index system of geological hazard data quality in China

    • 摘要: 基于支撑全国地质灾害研究和服务地质灾害防治的目的,针对全国地质灾害数据库,提出了包括完整性、时效性、准确性、一致性、规范性五个维度为一级指标的评价指标体系,其下涵盖10个二级指标、28个三级指标;利用德尔菲法确定各指标评价权重,并以中部某省地质灾害数据库为例完成其质量评价,结果显示该省地质灾害数据库建设总体情况较好。此次地质灾害数据质量评价体系研究融科学性、实用性、探索性为一体,对于提高全国地质灾害数据库质量,开展基于数据挖掘的地质灾害科学研究,提升数据对全国地质灾害防治支撑能力具有重要意义和作用。

       

      Abstract: This paper provides an exploratory study about data quality evaluation index system of geological hazard. To serve geological hazard research and national geological hazard prevention, select five dimensions of completeness, timeliness, accuracy, consistency, and standardization as first-level indicators, which contains 10 secondary indicators and 28 tertiary indicators. Take the geological hazard database of a province in central China as an example, conduct data quality evaluation with Delphi method, the results show that is good the overall situation of the province's geological hazard database quality. This quality evaluation of geological hazard data is an exploratory research that integrates science and practicability, it is of great significance for improving the data quality to support geological hazard research and national geological hazard prevention.

       

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