Safety Assessment on the Human Intrusion Scenarios of Near Surface Disposal Facility for Low and Very Low Level Radioactive Waste

Hong, Sung-Wook; Park, Sang-Ho; Park, Jin Beak

doi:10.7733/jnfcwt.2016.14.1.79

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…Notably, an infinite slope condition was achieved by no barriers around the monitoring sensor construction area, which allowed for the hydraulic flow of the infiltrated water to predominantly occur in the northeast direction. The slope of the test site is composed of sandy loam based on the U.S. Department of Agriculture soil classification, which is the general soil type composing the drainage layer of the EBS of the LILW disposal facility (Jeong et al, 2018). Table 1 shows the mechanical properties of the applied sandy loam soil in the test site.…”

Section: Study Areamentioning

confidence: 99%

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Development of precipitation-data-based real-time slope stability estimation method considering the uncertainty of soil hydraulic properties

Park,

Jeong,

Kwon

et al. 2024

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An autoregressive long-and short-term memory (AR-LSTM) model was applied to develop a real-time probabilistic slope stability estimation model for the engineered barrier system (EBS) of a near surface radioactive waste disposal facility. The effectiveness of the developed model was verified using actual data acquired from South Korea, including precipitation, soil moisture contents, and inclinometer time-series data. The precipitation and the factor of safety (FS) ensemble results were used as the input and output variables of the AR-LSTM model, respectively, where the FS ensemble results were calculated by the Taylor model, integrating the Mualem-van Genuchten soil water retention model with consideration of the multivariate statistics on the hydrophysical properties of the soil. The estimation accuracy of the AR-LSTM model was reasonable by showing high correlation coefficient (0.9468) and low root mean squared error (0.0070) values between the actual and estimated FS values. Moreover, a significant correlation was observed between the estimated FS ensemble results and displacement events recorded by the inclinometer sensor. All the results suggest the effectiveness of the developed model for the long-term integrity assurance of the EBS.

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Section: Study Areamentioning

confidence: 99%

“…(IAEA, 2003). South Korea is undertaking relevant research and analysis aiming for the operation of the NSDF in Gyeongju (Jeong et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Development of precipitation-data-based real-time slope stability estimation method considering the uncertainty of soil hydraulic properties

Park,

Jeong,

Kwon

et al. 2024

Episodes

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Development of a reference framework to assess stylized human intrusion scenarios using GENII Version 2 considering design features of planned near-surface disposal facility in Korea

Kwon

Cheong

2019

Nuclear Engineering and Technology

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Human intrusion dose assessment for the safe disposal of radioactive spent resin mixed waste at disposal facilities

Hwang,

Kang,

Yoon

et al. 2024

Nuclear Engineering and Technology

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Safety Assessment on the Human Intrusion Scenarios of Near Surface Disposal Facility for Low and Very Low Level Radioactive Waste

Cited by 5 publications

References 2 publications

Development of precipitation-data-based real-time slope stability estimation method considering the uncertainty of soil hydraulic properties

Development of precipitation-data-based real-time slope stability estimation method considering the uncertainty of soil hydraulic properties

Development of a reference framework to assess stylized human intrusion scenarios using GENII Version 2 considering design features of planned near-surface disposal facility in Korea

Human intrusion dose assessment for the safe disposal of radioactive spent resin mixed waste at disposal facilities

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