Model Calibration and Parameter Estimation
For Environmental and Water Resource Systems
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Article
Open AccessA cost-effective approach to measurements of fluorophore temperature sensitivity and temperature change with reasonable accuracy
The demand for measuring fluorophore temperature sensitivity and temperature change in chemical or biological samples has spurred the search for effective methods. While infrared (IR) light-based thermal devic...
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Article
Learning to downscale satellite gravimetry data through artificial intelligence
Self-supervised learning offers a promising way of downscaling the total water storage anomaly data from the Gravity Recovery and Climate Experiment (GRACE) satellites, contributing to a better understanding o...
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Chapter
Merkel Cell Carcinoma
Merkel cell carcinomas (MCCs) are rare cutaneous neuroendocrine neoplasms that are clinically aggressive due to a relatively high local, regional, and distant metastatic recurrence potential. They are found mo...
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Chapter
Non-melanoma Skin Cancer
Non-melanoma skin cancers (NMSCs) are the most commonly diagnosed cancers in Canadians. Although basal cell carcinoma (BCC) is approximately four to five times more common (80% of non-melanoma skin cancers) th...
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Simulating in-zone chemistry changes from injection time to longer periods of CO2 storage
Geochemical reactions can play important role in the long-term geological storage of CO2 in sites where the target formations have reactive minerals. Although the use of batch models (experimental or theoretical...
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Book
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Chapter
Multiobjective Inversion and Regularization
After incorporating prior information, the inverse problem becomes a bi-criterion optimization problem. The use of prior information in such a way can be seen as a special case of the regularization method int...
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Model Differentiation
In the previous chapters, we showed that an inverse problem ultimately becomes an optimization problem, regardless the type of framework (deterministic or statistical) used to formulate it. Gradient-based algo...
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Model Structure Identification
In practice, determination of the model structure is the first problemthat a modeler has to deal with when modeling a complicatedphysical system. Model structure error is often the major cause ofmodel failure....
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Data Assimilation for Inversion
Many EWR applications are data centric and naturally call for the ability to fuse spatial and temporal information from multiple sources and in different formats and scales. With the rapid advance of in situ a...
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Model Uncertainty Quantification
Uncertainty quantification (UQ) is the analytic process of determining the effect of input uncertainties (both their magnitudes and sources) on system outcomes. Traditionally applied in engineering r...
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Goal-Oriented Modeling
Two criteria are traditionally used for model parameter estimation and model structure identification: (C-1) fitting observation data; and (C-2) honoring prior information. As we have shown in Chaps. 3 and 7, ...
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The Classical Inverse Problem
The classical inverse problem (CIP) assumes no model structure error and, thus, only model parameters need to be identified. In this chapter, we consider the solution of CIP for single state variable models. U...
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Statistical Methods for Parameter Estimation
In this chapter, the CIP is formulated in a statistical framework. Byusing the Bayesian inference theory, we cast the CIP asaninformation transfer problem, in which the prior information andtheinformation tran...
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Model Dimension Reduction
A real system, especially a distributed parameter system, may havehigh or even infinite dimensions of freedom (DOF). When the DOF ofa model is too high, all inversion methods that we have learnedbecome ineffic...
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Development of Data-Driven Models
In previous chapters, we have mainly dealt with physics-based models represented by a general map** $$\mathbf{u}=\mathcal{M}(\mathrm{}{\boldsymbol{\uptheta...
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Optimal Experimental Design
In environmental and water resource (EWR) engineering, different types of design problems exist, such as operation design, monitoring design, detection design, and remediation design. This chapter is devoted t...
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Introduction
In this chapter, commonly seen models in environmental and water resources (EWR) study are shown. A general form of mathematical models and their classifications are then provided. Different mathematical model...
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Article
Groundwater Contamination in Karst Terranes
