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Open AccessArticle

Research on the Data-Driven Quality Control Method of Hydrological Time Series Data

1
College of Computer and Information, Hohai University, Nanjing 211100, China
2
Huawei Technologies Co., Ltd., Nanjing 210012, China
*
Author to whom correspondence should be addressed.
Water 2018, 10(12), 1712; https://doi.org/10.3390/w10121712
Received: 17 October 2018 / Revised: 13 November 2018 / Accepted: 21 November 2018 / Published: 23 November 2018
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PDF [5515 KB, uploaded 23 November 2018]
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Abstract

Ensuring the quality of hydrological data has become a key issue in the field of hydrology. Based on the characteristics of hydrological data, this paper proposes a data-driven quality control method for hydrological data. For continuous hydrological time series data, two combined forecasting models and one statistical control model are constructed from horizontal, vertical, and statistical perspectives and the three models provide three confidence intervals. Set the suspicious level based on the number of confidence intervals for data violations, control the data, and provide suggested values for suspicious and missing data. For the discrete hydrological data with large time-space difference, the similar weight topological map between the neighboring stations is established centering on the hydrological station under the test and it is adjusted continuously with the seasonal changes. Lastly, a spatial interpolation model is established to detect the data. The experimental results show that the quality control method proposed in this paper can effectively detect and control the data, find suspicious and erroneous data, and provide suggested values. View Full-Text
Keywords: hydrological data quality; predictive control; statistical control; spatial interpolation hydrological data quality; predictive control; statistical control; spatial interpolation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Zhao, Q.; Zhu, Y.; Wan, D.; Yu, Y.; Cheng, X. Research on the Data-Driven Quality Control Method of Hydrological Time Series Data. Water 2018, 10, 1712.

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