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Cumulative Absolute Velocity (CAV) parameter estimation in earthquake emergency response based on a support vector machine
Rapid and accurate estimation of emergency response parameters during earthquakes is important in earthquake early warning (EEW) systems. Because...
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Dynamic prediction model of mining subsidence combined with D-InSAR technical parameter inversion
It is of great significance to obtain timely and accurate information of surface subsidence caused by mining. The probability integral method (PIM)...
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A Rock Physics Modeling Approach with Pore-Connectivity Parameter Inversion in Tight Sandstone Reservoirs
Tight gas sandstone reservoirs play an important role in the field of exploration and development of unconventional oil/gas resources. However, these...
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Energy-based dynamic parameter identification for Pasternak foundation model
Parameter identification of Pasternak foundation models (PFM) is never satisfactory, which discourages the application and popularization of PFM. In...
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Improving flood forecasts capability of Taihang Piedmont basin by optimizing WRF parameter combination and coupling with HEC-HMS
Based on numerical weather prediction model Weather Research and Forecasting (WRF) and Hydrologic Modeling System (HEC-HMS), a coupling model is...
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Importance of Parameter Uncertainty in the Modeling of Geological Variables
Quantitative modeling of geological heterogeneity is critical for resource management and decision-making. However, in the early stages of a mining...
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Movability Number as the Parameter of Sediment Incipient Motion: A Mathematical Approach
In fluvial sediment transport, the sediment threshold parameter Movability Number, which is the ratio of the shear velocity and the settling velocity...
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Time-Magnitude Correlations and Time Variation of the Gutenberg–Richter Parameter in Foreshock Sequences
The time dependence of the parameter of the Gutenberg–Richter (GR) magnitude distribution is identified for foreshock sequences of earthquakes,...
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Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review
River flood routing is an important issue in current water resources management. As a popular hydrological flood routing method, Muskingum model has...
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Comparison of Different Regularization Parameter Estimates: An Application to 1D Joint Inversion of DC Resistivity and CSRMT Data
The choice of an appropriate regularization parameter enables the correct estimation of model parameters and convergence of an inversion routine. The...
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A perturbed parameter ensemble of HadGEM3-GC3.05 coupled model projections: part 1: selecting the parameter combinations
This is the first of two papers that describe the generation of a 25-member perturbed parameter ensemble (PPE) of high-resolution, global coupled...
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A hybrid model for water quality parameter prediction based on CEEMDAN-IALO-LSTM ensemble learning
Water pollution is a major global environmental issue. Predicting water quality parameters in advance is of utmost importance in the normal operation...
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An improved parameter filtering approach for processing GRACE gravity field models using first-order Gauss–Markov process
Removing stripe noise from the GRACE (Gravity Recovery and Climate Experiment) monthly gravity field model is crucial for accurately interpreting...
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Stability and reliability analysis of rock slope based on parameter conditioned random field
Systematic evaluation of the geotechnical parameters of rock slopes facilitates predicting the risk level of slope excavation processes and...
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A time-domain multi-parameter elastic full waveform inversion with pseudo-Hessian preconditioning
Based on waveform fitting, full waveform inversion (FWI) is an important inversion method with the ability to reconstruct multi-parameter models in...
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Application of soil parameter inversion method based on BP neural network in foundation pit deformation prediction
When significant deformation occurs in a foundation pit, it is critical to have an accurate method for predicting this deformation. This is necessary...
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Back-analysis of dynamic property of earth-rock dam considering parameter uncertainly
Dynamic parameters of rockfill materials are an important component of seismic safety analysis of earth and rock dams, which are a complex of...
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A novel VMD-LHPO-KELM machine learning-based TBM boring parameter prediction
Scientific and reasonable prediction of tunneling parameters is the premise to ensure the safety of the project. To further improve the accuracy and...
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Parameter identification and range restriction through sensitivity analysis for a high-temperature heat injection test
In order to compensate for the variable mismatch between heat demand and heat production from renewable sources or waste heat, high-temperature...
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Multi-parameter Optimization for Downhole Gas Compression System
Downhole gas compression (DGC) is a novel artificial lift technology for gas wells since it can increase the gas flow rate and decrease the...