Work

Identifying recharge sources and their impacts on a North Central New Mexico shallow aquifer using unsupervised machine learning

Year: 2024

Type: article

Source: Journal of Hydrology

DOI: 10.1016/j.jhydrol.2024.132503

Authors: N.F. Hobbs, B. Ahmmed, D.F. Sulca, P.H. Stauffer, K.E. Bennett

Institution: Los Alamos National Laboratory

Language: English

Topic: Groundwater flow and contamination studies

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funders: Office of Science, Office of Environmental Management

OpenAlex ID: W4405316291

FWCI: 0.235

Cites: 45

Cited by: 2

Related to: 10