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An approach to quality validation of large-scale data from the Chinese Flash Flood Survey and Evaluation (CFFSE)

Author

Listed:
  • Ximin Yuan

    (Tianjin University)

  • Yesen Liu

    (Tianjin University)

  • Yaohuan Huang

    (Chinese Academy of Sciences)

  • Fuchang Tian

    (Tianjin University)

Abstract

Quality control of large-scale flash flood survey and evaluation data is vital and refers to various social and natural factors. In this study, we present a quality validation approach that uses a data model, Anselin Local Moran’s I (DM-Moran), which is based on a model of the flash flood data and a spatial data mining algorithm. The approach of the DM-Moran model involves examining logical relationships and detecting anomalous survey units, which effectively integrates the advantages of certainty rules and checking for reasonableness. It resolves the inconsistencies in massive amounts of flash flood survey data that result from inconsistencies. We used the DM-Moran model to validate the quality of the data of the Chinese Flash Flood Survey and Evaluation (CFFSE) project. The kappa coefficients of the two steps of this approach were 0.95 and 0.99, which meet the requirements of the CFFSE project. We consider the DM-Moran model an effective approach to checking the quality of various other large-scale disaster datasets.

Suggested Citation

  • Ximin Yuan & Yesen Liu & Yaohuan Huang & Fuchang Tian, 2017. "An approach to quality validation of large-scale data from the Chinese Flash Flood Survey and Evaluation (CFFSE)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 693-704, November.
    • Handle: RePEc:spr:nathaz:v:89:y:2017:i:2:d:10.1007_s11069-017-2986-0
    DOI: 10.1007/s11069-017-2986-0
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    References listed on IDEAS

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    1. Yaohuan Huang & Chen Xu & Haijun Yang & Jianhua Wang & Dong Jiang & Chuanpeng Zhao, 2015. "Temporal and Spatial Variability of Droughts in Southwest China from 1961 to 2012," Sustainability, MDPI, vol. 7(10), pages 1-13, October.
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    Cited by:

    1. Xiaoyun Sun & Guotao Zhang & Jiao Wang & Chaoyue Li & Shengnan Wu & Yao Li, 2022. "Spatiotemporal variation of flash floods in the Hengduan Mountains region affected by rainfall properties and land use," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 465-488, March.
    2. Yesen Liu & Yaohuan Huang & Jinhong Wan & Zhenshan Yang & Xiaolei Zhang, 2020. "Analysis of Human Activity Impact on Flash Floods in China from 1950 to 2015," Sustainability, MDPI, vol. 13(1), pages 1-12, December.
    3. Yesen Liu & Ximin Yuan & Liang Guo & Yaohuan Huang & Xiaolei Zhang, 2017. "Driving Force Analysis of the Temporal and Spatial Distribution of Flash Floods in Sichuan Province," Sustainability, MDPI, vol. 9(9), pages 1-17, August.
    4. Changjun Liu & Liang Guo & Lei Ye & Shunfu Zhang & Yanzeng Zhao & Tianyu Song, 2018. "A review of advances in China’s flash flood early-warning system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 619-634, June.

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