The volatility of water resources is increasing owing to climate change,and various developments are being undertaken for a stable supply of water resources.Among the many available water resources,groundwater is attr...The volatility of water resources is increasing owing to climate change,and various developments are being undertaken for a stable supply of water resources.Among the many available water resources,groundwater is attracting attention as one of the country’s most important resources in Korea.This study developed a groundwater potential map(GPM)for the exploration of groundwater in the Geumgang River basin,one of the four major river basins in Korea.This consisted of ten thematic layers(hydrogeology,fractured zone,depth to groundwater level,distance to surface water,lineament density,slope,stream drainage density,soil drainage,land cover,and annual rainfall)of remotely sensed data and satellite images to explore a wide range of areas.Each thematic layer was weighted through Analytical Hierarchal Process and Technique for Order Preference by Similarity to Ideal Solution,and the groundwater potential was determined.The final GPM are classified into five categories:very high,high,moderate,low,and very low.To verify the GPM,specific capacity data from a total of 2,671 wells was used.The GPM in this study make groundwater to be considered as promising and feasible alternative resource to surface water in case of future climate crisis such as heavy drought.展开更多
An autoregressive long-and short-term memory(ARLSTM)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 dis...An autoregressive long-and short-term memory(ARLSTM)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.展开更多
基金supported by the Basic Research Project(21-3411)of the Korea Institute of Geoscience and Mineral Resourcesthe National Research Foundation of Korea(NRF)under the Ministry of Science and ICT(No.RS-2023-00210810).
文摘The volatility of water resources is increasing owing to climate change,and various developments are being undertaken for a stable supply of water resources.Among the many available water resources,groundwater is attracting attention as one of the country’s most important resources in Korea.This study developed a groundwater potential map(GPM)for the exploration of groundwater in the Geumgang River basin,one of the four major river basins in Korea.This consisted of ten thematic layers(hydrogeology,fractured zone,depth to groundwater level,distance to surface water,lineament density,slope,stream drainage density,soil drainage,land cover,and annual rainfall)of remotely sensed data and satellite images to explore a wide range of areas.Each thematic layer was weighted through Analytical Hierarchal Process and Technique for Order Preference by Similarity to Ideal Solution,and the groundwater potential was determined.The final GPM are classified into five categories:very high,high,moderate,low,and very low.To verify the GPM,specific capacity data from a total of 2,671 wells was used.The GPM in this study make groundwater to be considered as promising and feasible alternative resource to surface water in case of future climate crisis such as heavy drought.
基金supported by the Radioactive Waste Management of the Korea Institute of Energy Technology Evaluation and Planning grant funded by the Korea government Ministry of Knowledge(20193210100130)the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.202008980000).
文摘An autoregressive long-and short-term memory(ARLSTM)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.
