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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...
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Calibration, validation and uncertainty analysis of a SWAT water quality model
Sediment and nutrient pollution in water bodies is threatening human health and the ecosystem, due to rapid land use changes and improper...
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Urban flood prediction using ensemble artificial neural network: an investigation on improving model uncertainty
Reducing the impact of artificial neural networks (ANN) affected by sources of uncertainty is crucial to improving the reliability of the flood...
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A Flood Season Division Model Considering Uncertainty and New Information Priority
The seasonal temporal characteristics of runoff are crucial in regional water resources scheduling and administration, flood warning and forecasting,...
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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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Estimation of Uncertainties in Soil Using MCMC Simulation and Effect of Model Uncertainty
The simulation of field conditions for seismically induced slope failures incorporates model uncertainties, which account for the difference between...
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Addressing Configuration Uncertainty in Well Conditioning for a Rule-Based Model
Rule-based reservoir models incorporate rules that mimic actual sediment deposition processes for accurate representation of geological patterns of...
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Uncertainty assessment of future climate change using bias-corrected high-resolution multi-regional climate model datasets over East Asia
The quantitative assessment of the uncertainty components of future climate projections is critical for decision-makers and organizations to...
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Calibration and uncertainty analysis of integrated SWAT-MODFLOW model based on iterative ensemble smoother method for watershed scale river-aquifer interactions assessment
River-aquifer interaction is a key component of the hydrological cycle that affects water resources and quality. Recently, the application of...
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Seismic Risk Model for the Bei**g–Tian**–Hebei Region, China: Considering Epistemic Uncertainty from the Seismic Hazard Models
This study presents a probabilistic seismic risk model for the Bei**g–Tian**–Hebei region in China. The model comprises a township-level...
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Enhanced Methods for Evaluating Water-inrush Risk from Underlying Aquifers: Incorporating Dynamic Weight Theory and Uncertainty Analysis Model
Accurately gauging the risk of water inrush from underlying aquifers is paramount for ensuring safety in coal mine production. This paper presents an...
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A Monte Carlo-based Workflow for Geochemical Anomaly Identification Under Uncertainty and Global Sensitivity Analysis of Model Parameters
Uncertainty associated with the identification of geochemical anomalies linked to mineralization has been a major concern in processing geochemical...
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An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Map**
Geographic information system-based mineral prospectivity map** (MPM) aims to generate targets by combining multiple proxy layers containing...
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Probability prediction method for rockburst intensity based on rough set and multidimensional cloud model uncertainty reasoning
Rockburst is a serious disaster caused by the sudden release of rock energy during underground construction in high-stress environments, resulting in...
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Improved Treatment of Model Prediction Uncertainty: Estimating Rainfall using Discrete Wavelet Transform and Principal Component Analysis
It is necessary to select appropriate rainfall series as input to the hydrologic model to access more accurate hydrologic predictions and estimate...
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Uncertainty Analysis of River Water Quality Based on Stochastic Optimization of Waste Load Allocation Using the Generalized Likelihood Uncertainty Estimation Method
The aim of this study is to improve the water quality of rivers while satisfying the interests of pollution sources and environmental protection...
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Bi-objective Extraction-injection Optimization Modeling for Saltwater Intrusion Control Considering Surrogate Model Uncertainty
Data-driven machine learning surrogates are used to substitute complex groundwater numerical simulation models within optimization algorithms to...
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Evaluation of the predictions skills and uncertainty of a karst model using short calibration data sets at an Apulian cave (Italy)
The freshwater resource in karst is subjected to both sea level rise and an increasing pressure caused by the high-water demand. Therefore,...
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Uncertainty assessment and an improved CYGNSS cyclonic wind speed retrieval model for cyclones over North Indian Ocean
AbstractAn investigation is conducted to study the uncertainty in the cyclonic ocean wind speed (CWS) of Cyclone Global Navigation Satellite System...
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Intelligent velocity picking and uncertainty analysis based on the Gaussian mixture model
The stacking velocity is often obtained manually. However, manually picking is inefficient and is easily affected by subjective factors such as the...
