Abstract Global Sensitivity Analysis (GSA) is key to assisting appraisal of the behavior of
hydrological systems through model diagnosis considering multiple sources of uncertainty …

Deep geological disposal is a widely accepted approach for safe management and long-
term disposal of high-level radioactive waste (HLW). However, high uncertainty associated …

In this study we use polynomial chaos expansion (PCE) to perform uncertainty analysis for
seawater intrusion (SWI) in fractured coastal aquifers (FCAs) which is simulated using the …

We rely on various Global Sensitivity Analysis (GSA) approaches to detect the way uncertain
parameters linked to diverse conceptual geological models influence spatial distributions of …

Taking the 14,030 panel of Zhaogu No. 2 coal mine as its research object, this paper studies
the evolution characteristics of the developing height, propagation track and caving arch …

Projecting the spatiotemporal changes in water resources under a no-analog future climate
requires physically based integrated hydrologic models which simulate the transfer of water …

Fluctuating stream stages and peak‐flow events can significantly influence the interactions
between streams and aquifers and modify the hydraulic gradient, the flux exchange and the …

Gaussian process emulation (GPE) and polynomial chaos expansion (PCE) are tools for
meta-model-based uncertainty propagation analysis (UPA) that have gained increasing …

The performance of land surface models (LSMs) significantly affects the understanding of
atmospheric and related processes. Many of the LSMs' soil and vegetation parameters were …

The radionuclide migration in the high-level radioactive waste (HLW) disposal is usually
predicted by numerical simulations for risk analysis of radionuclide contamination in a large …