Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)

Article

Abstract: Watershed management decisions need robust methods, which allow an accurate predictive modeling of p

Palabras claves:

Groundwater, Machine learning techniques, Nitrates, random forest, vulnerability assessment

Autores:

Chica-Olmo M., Garcia-Soldado M.J., Luís Ribeiro, Mendes M.P., Rodriguez-Galiano V.

Fuentes:

scopus