Coupling of unsaturated zone and saturated zone in radionuclide transport simulations

Testoni, Raffaella; Levizzari, Riccardo; Salve, Mario De

doi:10.1016/j.pnucene.2016.11.012

Cited by 10 publications

(6 citation statements)

References 15 publications

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“…However, there is a lag time (approximately equal to the BP) before the concentration of pollutants in drinking wells responds to the rapid increase in leakage. This time is greatly affected by the thickness of the natural base layer and the vadose zone, as well as the groundwater flow rate 40,41 . In the present case, this time is about 70 a.…”

Section: Zn F Crmentioning

confidence: 99%

Framework, method and case study for the calculation of end of life for HWL and parameter sensitivity analysis

Xiang

Liu

et al. 2020

Sci Rep

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Mass construction and operation of hazardous waste landfill infrastructure has greatly improved China’s waste management and environmental safety. However, the deterioration of engineering materials and the failure of landfill may lead to the release of untreated leachate rich in persistent toxic pollutants to the soil and shallow groundwater. Accordingly, we develop the framework and process model to predict landfill life by coupling the landfill hydrological performance model and material degradation model. We found that the decrease rate of the concentration of persistent pollutants in leachate was significantly slower than the deterioration rate of the landfill engineering materials. As a result, when the materials failed, the leachate with high concentrations of persistent pollutants continued to leak, resulting in the pollutants concentration in surrounding groundwater exceeding the acceptable concentration at around 385 a, which is the average life of a landfill. Further simulation indicated that hydrogeological conditions and the initial concentration of leachate will affect landfill lifespan. The correlation coefficients of concentration, the thickness of vadose zone and the thickness of aquifer are − 0.79, 0.99 and 0.72 respectively, so the thickness of vadose zone having the greatest impact on the life of a landfill. The results presented herein indicate hazardous waste landfill infrastructure reinvestment should be directed toward long-term monitoring and maintenance, waste second-disposal, and site restoration.

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Section: Zn F Crmentioning

confidence: 99%

Framework, method and case study for the calculation of end of life for HWL and parameter sensitivity analysis

Xiang

Liu

et al. 2020

Sci Rep

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“…The number of neurons in the layers, the size of convolution kernel, and the fully connected layer are obtained through the step heapsort method. The activation includes saturated and unsaturated functions (Testoni et al, 2017). The former can solve the gradient disappearance and speed up the convergence speed.…”

Section: Design Hyperparameters Of Dnnmentioning

confidence: 99%

Transfer-Based Deep Neural Network for Fault Diagnosis of New Energy Vehicles

Wang

2021

Front. Energy Res.

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New energy vehicles are crucial for low carbon applications of renewable energy and energy storage, while effective fault diagnostics of their rolling bearings is vital to ensure the vehicle’s safe and effective operations. To achieve satisfactory rolling bearing fault diagnosis of the new energy vehicle, a transfer-based deep neural network (DNN-TL) is proposed in this study by combining the benefits of both deep learning (DL) and transfer learning (TL). Specifically, by first constructing the convolutional neural networks (CNNs) and long short-term memory (LSTM) to preprocess vibration signals of new energy vehicles, the fault-related preliminary features could be extracted efficiently. Then, a grid search method called step heapsort is designed to optimize the hyperparameters of the constructed model. Afterward, both feature-based and model-based TLs are developed for the fault condition classifications transfer. Illustrative results show that the proposed DNN-TL method is able to recognize different faults accurately and robustly. Besides, the training time is significantly reduced to only 18s, while the accuracy is still over 95%. Due to the data-driven nature, the proposed DNN-TL could be applied to diagnose faults of new energy vehicles, further benefitting low carbon energy applications.

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“…Physically-based simulations of flow and soluté transport are another widely used approach to assess contaminated soils and groundwater (e.g,. Neukum and Assam, 2009;Bugai et al, 2012;Cadini et al, 2016;Testoni et al, 2017). Such simulations take into account complex processes governing contamination spread but they require a relevant définition of initial and boundary conditions, as well as internai hydraulic properties.…”

Section: Introductionmentioning

confidence: 99%

Combining geostatistics and simulations of flow and transport to characterize contamination within the unsaturated zone

Pannecoucke

Coz

Freulon

et al. 2020

Science of The Total Environment

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Characterization of contamination in soils or groundwater resulting from in dustrial activities is critical for site remediation. In this study, geostatistics and physically-based simulations are combined for estimating levels of con tamination within the unsaturated zone. First, a large number of flow and transport simulations are run and their outputs are used to compute empirical non-stationary variograms. Then, these empirical variograms, called numerical variograms and which are expected to reproduce the spatial variability of the contaminant plume better than a usual variogram model based on observations only, are used for kriging. The method is illustrated on a two-dimensional synthetic reference test case, with a contamination due to a point source of tritium (e.g. tritiated water). The diversity among the simulated tritium plumes is induced by numerous sets of hydraulic parameter fields conditioned by samples from the +Corresponding author: lea. pan necoucke® mmes-paristech.fr

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Coupling of unsaturated zone and saturated zone in radionuclide transport simulations

Cited by 10 publications

References 15 publications

Framework, method and case study for the calculation of end of life for HWL and parameter sensitivity analysis

Framework, method and case study for the calculation of end of life for HWL and parameter sensitivity analysis

Transfer-Based Deep Neural Network for Fault Diagnosis of New Energy Vehicles

Combining geostatistics and simulations of flow and transport to characterize contamination within the unsaturated zone

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