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Predictability of spatial distribution of pre-summer extreme precipitation days over southern China revealed by the physical-based empirical model
Southern China is prone to floods during the wet season, and regional extreme precipitation is expected to become more frequent given the context of...
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Empirical Data Assimilation for Merging Total Electron Content Data with Empirical and Physical Models
An accurate estimation of ionospheric variables such as the total electron content (TEC) is important for many space weather, communication, and...
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What controls the interannual variation of Hadley cell extent in the Northern Hemisphere: physical mechanism and empirical model for edge variation
The Hadley circulation is the most prominent atmospheric meridional circulation, reducing the radiatively driven equator-to-pole temperature...
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Reservoir horizontal principle stress prediction using intelligent fusion model based on physical model constraints: a case study of Daji Block, Eastern Ordos Basin, North China
Horizontal principal stress is a fundamental parameter for reservoir reconstruction. For improving single well productivity, accurate evaluation of...
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Permeability Prediction of Carbonate Rock by Conventional Logging with MA-Based Adaptive Model
Models for permeability prediction of carbonate reservoirs by conventional logging curves can be classified into two major types, physical and...
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Model test study on wave-induced erosion on gravelly soil bank slope
Wave erosion on soil bank slopes has become severe with the long-term operation of the Three Gorges Reservoir; however, the progression of soil bank...
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Modeling Near-Field Impulsive Waves Generated by Deformable Landslide Using the HBP Model Based on the SPH Method
Landslide-generated impulsive waves (LGWs) in reservoir areas can seriously threaten waterway safety as well as human life and properties around the...
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New approach for predicting time-dependent deformation of shale rock: a modified fractional-order creep constitutive model
Time-dependent deformation is critical for ensuring safety and efficiency in horizontal well stability and the long-term permeability of shale gas....
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A Structural State Model Interpreting the Residual Strength Transition Behavior of Clay Soils
Residual friction angles of clay soils are commonly determined by laboratory tests, which are time-consuming and costly. It is more desirable to find...
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A Reduced-Scale Physical Model of a Spillway to Evaluate the Hydraulic Erodibility of a Fractured Rock Mass
The hydraulic erosion of the rock mass within dam spillways must be considered when assessing the stability of dam infrastructures. As this erosion...
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Log-based estimation of magnitude, azimuth and causes of anisotropy using a committee machine-based model
A medium is called anisotropic when one or more of its physical properties change with the direction of measurement. The main anisotropy causes...
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A New Data-Driven Model to Predict Monthly Runoff at Watershed Scale: Insights from Deep Learning Method Applied in Data-Driven Model
Accurate forecasting of mid to long-term runoff is essential for water resources management. However, the traditional model cannot predict well and...
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An empirical noise model for the benefit of model-based hydrodynamic leveling
The main objective of this study is to develop and analyze an empirical noise model for model-derived coastal summer mean water levels (SMWLs) and...
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Study on Water Quality Prediction of Urban Reservoir by Coupled CEEMDAN Decomposition and LSTM Neural Network Model
Urban reservoir is one of the important urban drinking water sources, and it is of important significance to ensuring the safety of urban water...
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Prediction model of loess immersion settlement based on improved K-G model
Loess is a problematic type of soil with a worldwide distribution due to its collapsibility. The temporal discontinuity and spatial nonuniformity of...
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A new decomposition model of sea level variability for the sea level anomaly time series prediction
Rising sea level is of great significance to coastal societies; predicting sea level extent in coastal regions is critical. When carrying out...
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Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets
Historical simulations of global sea-surface temperature (SST) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) are...
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Further study on oil/water relative permeability ratio model and waterflooding performance prediction model for high water cut oilfields sustainable development
The accuracy of predicting waterflooding performance is crucial in determining the scale of investment for oilfield development. However, existing...
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The effect of embedding actual evapotranspiration uncertainty in water balance model: coupling of interval-based hydrologic model and METRIC method
The determination of actual evapotranspiration (ET) plays a crucial role in hydrological modelling; however, it is subject to multiple sources of...
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Partitioning model uncertainty in multi-model ensemble river flow projections
Floods are the largest natural disaster currently facing the UK, whilst the incidents of droughts have increased in recent years. Floods and droughts...
