Advancing Environmental Modeling with Unstructured Meshes: Current Research and Development

Loading...
Thumbnail Image
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Modeling the distribution of environmental variables across spatial domains presents significant challenges. Geostatistics offers a robust set of tools for accurately predicting values and associated uncertainties at unsampled locations, accounting for spatial correlations. However, these tools are often constrained by their reliance on structured domain representations, limiting their flexibility in modeling complex or irregular structures. By exploring the use of unstructured meshes, we can achieve a more efficient and accurate representation of localized phenomena, thereby enhancing our ability to model spatial patterns. Our current efforts are focused on integrating unstructured meshes into the geostatistical modeling pipeline, encompassing everything from mesh generation (and possibly refinement) to their application in stochastic simulation and the segmentation of the domain into regions where the distribution of variables is homogeneous. Preliminary results are promising, demonstrating the potentialities of this innovative approach.
Description

CCS Concepts: Computing methodologies → Mesh geometry models; Volumetric models; Mathematics of computing → Distribution functions; Applied computing → Environmental sciences

        
@inproceedings{
10.2312:stag.20241350
, booktitle = {
Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
}, editor = {
Caputo, Ariel
and
Garro, Valeria
and
Giachetti, Andrea
and
Castellani, Umberto
and
Dulecha, Tinsae Gebrechristos
}, title = {{
Advancing Environmental Modeling with Unstructured Meshes: Current Research and Development
}}, author = {
Miola, Marianna
and
Cabiddu, Daniela
and
Mortara, Michela
and
Pittaluga, Simone
and
Sorgente, Tommaso
and
Zuccolini, Marino Vetuschi
}, year = {
2024
}, publisher = {
The Eurographics Association
}, ISSN = {
2617-4855
}, ISBN = {
978-3-03868-265-3
}, DOI = {
10.2312/stag.20241350
} }
Citation