Helen Siegel
Biographic Data
| ID | 7994312 |
|---|---|
| NAME | Helen Siegel |
| GIVEN NAMES | Helen |
| FAMILY NAME | Siegel |
| SIGNATURE | SIEGEL H |
| AFFILIATIONS | Yale University |
| ORCID | 0000-0002-3412-5851 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Assessment of groundwater well vulnerability to contamination through physics-informed machine learning
Contamination from anthropogenic activities is a long-standing challenge to the sustainability of groundwater resources. Physically based (PB) models are often used in groundwater risk assessments, but their application to large scale problems requiring high spatial resolution remains computationally intractable. Machine learning (ML) models have emerged as an alternative to PB models in the era of big data, but the necessary number of observatio…
No prominent works on this page.
Assessment of groundwater well vulnerability to contamination through physics-informed machine learning
Contamination from anthropogenic activities is a long-standing challenge to the sustainability of groundwater resources. Physically based (PB) models are often used in groundwater risk assessments, but their application to large scale problems requiring high spatial resolution remains computationally intractable. Machine learning (ML) models have emerged as an alternative to PB models in the era of big data, but the necessary number of observatio…
Aquifer (1 work) · Atmospheric and Environmental Gas Dynamics (1 work) · Computer Science (1 work) · Contamination (1 work) · Environmental Science (1 work) · Geology (1 work) · Groundwater (1 work) · Groundwater flow and contamination studies (1 work) · Hydrology (agriculture (1 work) · Reservoir Engineering and Simulation Methods (1 work)