Uncertainty Quantification for Applications in Earth Sciences - Part I of II
For Part II, see MS-Th-BC-07

Date: August 12
Time: 16:00--18:00
Room: 202A

(Note: Click title to show the abstract.)

Tong, Charles (Lawrence Livermore National Laboratory)
Duan, Qingyun (Beijing Normal Univ.)

Abstract: Accurate prediction and reliable decision-making in earth systems (watershed, groundwater contamination, carbon sequestration, geothermal reservoir, nuclear waste disposal, etc.) are always challenged by uncertainties of conceptual models, parameters, and experimental and field data. Deterministic models of earth systems are traditionally developed on a single, but presumably "known" geologic structure with "certain" system properties, and may not provide the credibility and confidence in decision making and system forecasting. For this reason, uncertainty quantification (UQ) has been studied, as a branch from mathematics, statistics, and computer science, and applied in developing robust models and simulations in earth systems.

This mini-symposium is proposed to encompasses theoretical UQ study, computational methodology development, and applications in earth systems. We encourage presentations on the studies of model-form and parametric uncertainties, sensitivity analyses, reduced-order model development, uncertainty reduction, uncertainty propagation, risk assessment, and decision-making. We welcome application studies in climate change, hydrologic systems, subsurface flow and reactive transport, subsurface energy storage, CO2 geological sequestration, and clear waste disposal, environmental
remediation, natural hazard prediction, etc.

UQ-PyL - A GUI platform for uncertainty quantification of complex environmental models
Wang, Chen (Beijing Normal Univ.)
Duan, Qingyun (Beijing Normal Univ.)
Tong, Charles (Lawrence Livermore National Laboratory)
Wei, Gong (Beijing Normal Univ.)

Multi-Objective Adaptive Surrogate Modeling-Based Optimization for Parameter Estimation of Large Complex Geophysical Models
Wei, Gong (Beijing Normal Univ.)
Duan, Qingyun (Beijing Normal Univ.)
Wang, Chen (Beijing Normal Univ.)

A Variance-based Decomposition and Global Sensitivity Index Method for Uncertainty Quantification: Application to Retrieved Ice Cloud Properties
Zhao, Chuanfeng (Beijing Normal Univ.)
Chen, Xiao (Lawrence Livermore National Laboratory)

Surrogate-based uncertainty analysis and data-value assessment for integrated surface-water groundwater modeling
Zheng, Yi (Peking Univ.)


Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA