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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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Elevating the possibilities of meshless groundwater flow modeling: a developed approach for parameter estimation and uncertainty quantification
Groundwater modeling is often associated with uncertainties due to incomplete knowledge of the subsurface system or uncertainties arising from...
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Uncertainty assessment of aquifer hydraulic parameters from pum** test data
Data from pum** tests is a noisy process, and therefore, performing the pum** test numerous times will not get the same drawdown values. As a...
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Bayesian Framework for Uncertainty Quantification and Bias Correction of Projected Streamflow in Climate Change Impact Assessment
The study focuses on the uncertainty quantification and bias correction of hydrological projections using Bayesian applications. The climate change...
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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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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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Uncertainty analysis for the calculation of marine environmental design parameters in the South China Sea
The calculation results of marine environmental design parameters obtained from different data sampling methods, model distributions, and parameter...
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Hydrological modeling and uncertainty analysis for a snow-covered mountainous river basin
Uncertainty analysis is crucial before hydrological simulation to address model vulnerability in snow-covered mountainous river basins, ensuring...
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Uncertainty in regional scale assessment of landslide susceptibility using various resolutions
Resolution produces uncertainty in spatial analysis. The objective of this paper is to study the effects of resolution on landslide susceptibility...
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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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Illuminating groundwater flow modeling uncertainty through spatial discretization and complexity exploration
Uncertainty in groundwater modeling presents a significant challenge, originating from various sources. This groundbreaking study aims to...
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Bayesian Inverse Transient Analysis for Pipeline Condition Assessment: Parameter Estimation and Uncertainty Quantification
Strategic pipeline asset management requires accurate and up-to-date information on pipeline condition. As a tool for pipeline condition assessment,...
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Reducing uncertainty in seismic assessment of multiple masonry buildings based on monitored demolitions
A significant part of the existing building stock in regions of low to moderate seismic hazard has been designed without modern seismic...
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Seismic Hazard Assessment and Its Uncertainty for the Central Part of Northern Algeria
This study presents a probabilistic seismic hazard assessment for the central part of northern Algeria using two complementary seismic models: a...
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Assessing seismic hazard and uncertainty in Büyükçekmece using ground motion simulations
This study presents a comprehensive seismic hazard assessment for Büyükçekmece, a district in Istanbul, Turkey, situated near the seismically active...
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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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Impact of Spatial Variation and Uncertainty of Rainfall Intensity on Urban Flooding Assessment
An effective urban drainage system (UDS) is crucial for solving urban flooding problems, motivating plenty of studies to design, build and...
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Investigation of Uncertainty in Organic Carbon Stock Estimates on a Field Scale
AbstractThe uncertainty sources in the assessment of organic carbon stocks were studied in a layer of 0–30 cm within the sampling site (100 × 100 m)...
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Application and Uncertainty Analysis of Data-Driven and Process-Based Evapotranspiration Models Across Various Ecosystems
Uncertainty analysis of evapotranspiration models is essential in hydrological modeling, particularly given the limited use of process-based models...
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Sequential learning of climate change via a physical-parameter-based state-space model and Bayesian inference
Flexible decision-making strategies provide an alternative option for climate adaptation by considering future learning of climate change. A...
