Phd Student<\/p>\n
Politecnico di Torino<\/p>\n
Dipartimento di Idraulica, Trasporti
\ne Infrastrutture Civili<\/p>\n
C.so Duca degli Abruzzi, 24
\n10129, Torino, Italy<\/p>\n
Tel.: +39-011-090-5684
\nFax: +39-011-090-5698<\/p>\n
ines.oueslati@polito.it<\/p>\n
Spatial distribution of soil hydraulic properties:<\/p>\n
This research aims at quantifying some hydrological processes such as runoff through the identification of physical and chemical soil properties (texture, structure, bulk density, organic matter\u2026) that are in direct relationship with the hydraulic parameters mainly soil moisture and hydraulic conductivity. The main issue is to find tools and methodologies that can predict and generate an accurate spatial distribution of the soil properties.<\/p>\n
Those tools include the use of pedotransfer functions that aims to predict hard to measure soil properties from primary soil data (texture, porosity,..) and the digital soil mapping that \u00a0can be difined as the creation, and population of spatial soil information systems by the use of field and laboratory observational methods coupled with enviornmental factors (corpan model: climate variables (c), vegetation and land use (o), relief (r), parent material (p), age (a) and spatial coordinate (n)) using statistical and geostatistitical techniques.<\/p>\n
Actual activity deals with the prediction of the top soil organic matter in forestal soils situated in Piemonte and its interraction with the existing vegetation.<\/p>\n
Future issues that can be devoloped are:<\/p>\n
–\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Optimization of soil sampling when predicting soil properties<\/p>\n
–\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Spatial Prediction of saturated soil moisture<\/p>\n
–\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Uncertainty in soil properties prediction<\/p>\n