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Artificial Neural Network-based prediction of glacial debris flows in the ParlungZangbo Basin, southeastern Tibetan Plateau,China 被引量:1
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作者 TANG Wang DING Hai-tao +4 位作者 CHEN Ning-sheng MA Shang-Chang LIU Li-hong WU Kang-lin TIAN Shu-feng 《Journal of Mountain Science》 SCIE CSCD 2021年第1期51-67,共17页
Accurate prediction on geological hazards can prevent disaster events in advance and greatly reduce property losses and life casualties.Glacial debris flows are the most serious hazards in southeastern Tibet in China ... Accurate prediction on geological hazards can prevent disaster events in advance and greatly reduce property losses and life casualties.Glacial debris flows are the most serious hazards in southeastern Tibet in China due to their complexity in formation mechanism and the difficulty in prediction.Data collected from 102 glacier debris flow events from 31 gullies since 1970 and regional meteorological data from 1970 to 2019 in ParlungZangbo River Basin in southeastern Tibet were used for Artificial Neural Network(ANN)-based prediction of glacial debris flows.The formation mechanism of glacial debris flows in the ParlungZangbo Basin was systematically analyzed,and the calculations involving the meteorological data and disaster events were conducted by using the statistical methods and two layers fully connected neural networks.The occurrence probabilities and scales of glacial debris flows(small,medium,and large)were predicted,and promising results have been achieved.Through the proposed model calculations,a prediction accuracy of 78.33%was achieved for the scale of glacial debris flows in the study area.The prediction accuracy for both large-and medium-scale debris flows are higher than that for small-scale debris flows.The debris flow scale and the probability of occurrence increase with increasing rainfall and temperature.In addition,the K-fold cross-validation method was used to verify the reliability of the model.The average accuracy of the model calculated under this method is about 93.3%,which validates the proposed model.Practices have proved that the combination of ANN and disaster events can provide sound prediction on geological hazards under complex conditions. 展开更多
关键词 two layers neural networks Glacial debris flow Disaster events K-fold cross-validation RAINFALL Temperature
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A Two-Layer Model for Superposed Electrified Maxwell Fluids in Presence of Heat Transfer 被引量:1
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作者 Kadry Zakaria Magdy A. Sirwah Sameh A. Alkharashi 《Communications in Theoretical Physics》 SCIE CAS CSCD 2011年第6期1077-1094,共18页
Based on a modified-Darcy-Maxwell model, two-dimensional, incompressible and heat transfer flow of two bounded layers, through electrified Maxwell fluids in porous media is performed. The driving force for the instabi... Based on a modified-Darcy-Maxwell model, two-dimensional, incompressible and heat transfer flow of two bounded layers, through electrified Maxwell fluids in porous media is performed. The driving force for the instability under an electric field, is an electrostatic force exerted on the free charges accumulated at the dividing interface. Normal mode analysis is considered to study the linear stability of the disturbances layers. The solutions of the linearized equations of motion with the boundary conditions lead to an implicit dispersion relation between the growth rate and wave number. These equations are parameterized by Weber number, Reynolds number, Marangoni number, dimensionless conductivities, and dimensionless electric potentials. The case of long waves interfaciaJ stability has been studied. The stability criteria are performed theoreticaily in which stability diagrams are obtained. In the limiting cases, some previously published results can be considered as particular cases of our results. It is found that the Reynolds number plays a destabilizing role in the stability criteria, while the damping influence is observed for the increasing of Marangoni number and Maxwell relaxation time. 展开更多
关键词 modified-Darcy-Maxwell model two layers stability heat transfer surface charges porous media
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Transient flexural-and capillary-gravity waves due to disturbances in two-layer density-stratified fluid 被引量:3
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作者 卢东强 孙翠芝 《Journal of Hydrodynamics》 SCIE EI CSCD 2013年第3期339-347,共9页
Generation of the transient flexural- and capillary-gravity waves by impulsive disturbances in a two-layer fluid is investi- gated analytically. The upper fluid is covered by a thin elastic plate or by an inertial sur... Generation of the transient flexural- and capillary-gravity waves by impulsive disturbances in a two-layer fluid is investi- gated analytically. The upper fluid is covered by a thin elastic plate or by an inertial surface with the capillary effect. The density of each of the two immiscible layers is constant. The fluids are assumed to be inviscid and incompressible and the motion be irrotational. A point force on the surface and simple mass sources in the upper and lower fluid layers are considered. A linear system is establi- shed within the framework of potential theory. The integral solutions for the surface and interracial waves are obtained by means of the Laplace-Fourier transform. A new representation for the dispersion relation of flexural- and capillary-gravity waves in a two- layer fluid is derived. The asymptotic representations of the wave motions are derived for large time with a fixed distance-to-time ratio with the Stokes and Scorer methods of stationary phase. It is shown that there are two different modes, namely the surface and interracial wave modes. The wave systems observed depend on the relation between the observer's moving speed and the intrinsic minimal and maximal group velocities. 展开更多
关键词 HYDROELASTICITY CAPILLARITY wave generation density stratification two layers
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