Work

solidwaste-web/Interpretable-WQI-Surrogate-Models: Interpretable-WQI-Surrogate-Models

Year: 2026

Type: software

Abstract: Interpretable Machine-Learning Surrogates for Simplified WQI Assessment of Surface-Water and Groundwater Sources

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21448915

Author: solidwaste-web

Topic: Water Quality and Pollution Assessment

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: green

OpenAlex ID: W7169759403

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