Litcius/Paper detail

Predicting the hydrological response of a forest after wildfire and soil treatments using an Artificial Neural Network

Demetrio Antonio Zema, Manuel Esteban Lucas‐Borja, Lidia Fotia, Domenico Rosaci, Giuseppe M. L. Sarnè, Santo Marcello Zimbone

2020Computers and Electronics in Agriculture62 citationsDOI

Topics & Concepts

Environmental scienceSurface runoffSoil waterLoggingMulchErosionAridHydrology (agriculture)Soil scienceForestryEcologyEngineeringGeologyGeographyGeotechnical engineeringBiologyPaleontologySoil erosion and sediment transportHydrology and Watershed Management StudiesLandslides and related hazards