Search

Considering that the landslide displacement is influenced by multiple factors, a time series decomposition-model construction-model training method of KMD-BP-TIGWO landslide displacement prediction is proposed by combining signal decomposition and intelligent algorithms. Firstly, the landslide monitoring data are decomposed into multiple IMF components and a residual using the EMD method, and the decomposed components are divided into period term and trend term displacements; secondly, the BPTIGWO model is constructed, the Tent mapping and adaptive weights are introduced to improve the convergence speed and global search capability of the whale algorithm, and the weights and thresholds of BP neural network are optimized using the TIGWO algorithm; subsequently, the optimized BP-TIGWO model is used to predict the landslide displacement using the optimized BP neural network and the TIGWO algorithm. Subsequently, the optimized BP model was used to output the predicted values, and finally, the predicted values of each component were superimposed to obtain the predicted values of landslide cumulative displacement, and the model prediction accuracy was evaluated. The experimental results show that the RMSE, MAE and R2 of the EMD-BP-TIGWO model are 0. 64,0. 51, and 0. 97 respectively under the feature of no rainfall input for 1 d. The prediction accuracy of the model is significantly higher than that of the EMD-GWO-BP, EMD-GWO-BP, BP-TIGWO, and BP models that do not consider the time lag, which can provide a reference for predicting the displacement of the landslide. [ABSTRACT FROM AUTHOR]

The Muon Ionization Cooling Experiment (MICE) will demonstrate ionization cooling in a short section of a realistic cooling channel using a muon beam at Rutherford Appleton Laboratory in the UK. The coupling magnet is a superconducting solenoid mounted around four 201 MHz RF cavities, which produces magnetic field up to 2.6 T on the magnet centerline to keep muons within the iris of RF cavities windows. The coupling coil with inner radius of 750 mm, length of 285 mm and thickness of 102.5 mm will be cooled by a pair of 1.5 W at 4.2 K small coolers. This paper will introduce the updated engineering design of the coupling magnet made by ICST in China. The detailed analyses on magnetic fields, stresses induced during the processes of winding, cool down and charging, and cold mass support assembly are presented as well. [ABSTRACT FROM AUTHOR]

The development of nuclear power plants is progressing rapidly worldwide. However, there is currently a lack of dynamic monitoring of the thermal discharge temperature rise from these plants, making it unclear to governments where their nuclear power thermal discharges stand globally. We hypothesize that between 2013 and 2022, there are significant temporal and spatial differences in the thermal discharge temperature rise from nuclear power plants globally. Temporal differences are expected to reflect a country's nuclear power installed capacity and thermal discharge treatment capabilities, while spatial differences are related to the type of water bodies where nuclear power plants are located. To test these hypotheses, we utilized Landsat data to get the distribution range of thermal discharge and temperature rise levels ranging from 1 °C to 4 °C, and compared the temporal and spatial characteristics of temperature rise in different countries. The results indicate that: (1) Currently, China, the United States, and Canada rank among the top three globally in terms of the area experiencing temperature rise due to thermal discharge, which correlates with the total installed capacity of nuclear power in these countries. (2) Countries such as Russia, Finland, and Mexico exhibit larger areas with a 4 °C temperature rise level per unit installed capacity, with their thermal rise area per unit installed capacity (TRAUIC) exceeding the global average by more than 1.5 times. (3) The spatial dispersion trends of thermal discharges from nuclear power plants vary across different types of water bodies. For nuclear power plants located in bays, thermal discharges primarily disperse along the coast, while in open sea and lakes, thermal discharges tend to spread in a fan-shaped pattern. The findings of this study are crucial for understanding the efficiency of thermal discharge from nuclear power plants across different countries globally, assessing potential environmental risks during the operation of these plants, and promoting the safe and orderly development of nuclear power plants worldwide., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)