高放废物地质处置新场候选场址地下水位异常值识别方法

doi:10.11720/wtyht.2024.1554

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Abstract

Dynamic groundwater monitoring provides critical foundational data for the safety assessment of candidate sites for the geological disposal of high-level radioactive waste. However, research has revealed that actual monitoring data frequently contain numerous anomalous values, severely interfering with the accurate assessment of the dynamic monitoring process. Therefore, there is an urgent need to develop an efficient method to accurately identify these anomalous values. This study built a combined model for anomalous value detection of the groundwater level using local weighted regression-based time series decomposition and the minimum covariance determinant (MCD) method. This combined model allowed the MCD method to achieve anomaly detection in more independent residuals. Results indicate that the combined model exhibited higher sensitivity and detection accuracy for anomalous data than the single MCD model. Furthermore, this study established that the threshold of the combined model should be close to the actual proportion of anomalous values to achieve optimal detection results. Besides, this study validated the applicability of the combined model using groundwater level data from boreholes BSQ01, BSQ25, BS35, and BS26 at the new site. The validation results demonstrate that the combined model can accurately identify anomalous values amidst a large volume of data on the normal groundwater level and is applicable to the detection of different types of anomalous events.

Key words： time-series anomaly detection STL decomposition minimum covariance determinant (MCD) method high-level radioactive waste geological disposal

Received: 21 December 2023 Published: 08 January 2025

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	Articles by authors
	Zi-Jian JI
	Zhi-Chao Zhou
	Jing-Bo Zhao
	Rui-Li JI
	Ming ZHANG

Cite this article:

Zi-Jian JI,Zhi-Chao Zhou,Jing-Bo Zhao, et al. A method for identifying anomalous values of groundwater levels at candidate sites for the geological disposal of high-level radioactive waste[J]. Geophysical and Geochemical Exploration, 2024, 48(6): 1530-1538.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2024.1554 OR https://www.wutanyuhuatan.com/EN/Y2024/V48/I6/1530

Hydrogeological map of the Xinchang site

Location map of monitoring boreholes around the Xinchang site

Distribution of groundwater level monitoring data and anomaly values in boreholes

Anomaly detection process for the combined STL decomposition and minimum covariance determinant method

Map of model performance with model thresholds

Combined model and single model detection results in borehole BS35

Combined model and single model detection results in borehole BS26

Combined model and single model detection results in borehole BSQ01

Combined model and single model detection results in borehole BSQ25

Evaluation index score for groundwater level anomaly detection in boreholes around the site

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