Presentation on theme: "Federico Spanna: Regione Piemonte - Agrometeorological Service Alberto Rainero:"— Presentation transcript:
Federico Spanna: Regione Piemonte - Agrometeorological Service firstname.lastname@example.org email@example.com Alberto Rainero: S.I.T. – Alessandria County Council firstname.lastname@example.org Workshop on climatic analysis and mapping for agriculture (14-17 june 2005, Bologna, Italy)
Distribution of meteorological stations 150 agrometeorological stations (RAM) 300 hydrographic station
Aim Georepresentation of agrometeorological variables as influenced by land morphology
Methodology Analysis and selection of main morphological informations Individuation of homogeneous agrometeorological areas (multivariate analysis) Spatial representation (statistical multiregressive analysis)
Morphological features: 2 – soil yield Scale 1:100.000 9 classes Potential soil use for crops
Morphological features: 3 – Corine coverage Actual soil use Scale 1:100.000 44 classes
Morphological features: 4 - morphology Height Slope Exposure Distance from valley bottom Piedmont Digital Elevation Model (DEM) Scale 1:100.000
Territorial information found Multivariate analysis Homogeneous areas features Slope Exposure Height Yield soil use Corine coverage Description of morphological and topological parameters Categorical qualitative table
Homogeneous areas representation Watershed Borough boundaries
Spatial interpolation Algorithm Station cluster Influence territorial area Meteo information M Morphological parameters x i Morphological parameters Meteo information synthesis M=F(x i ) ?
Multiregressive analysis M = F(x i ) M = kp*H + kd*S + ke*E + kq*D Meteo information: dependent variableM Morphological variables: independentH, S, E, D Multiple regression Height, Slope, Exposure, River bed distance
Coefficient exploration Sample Dependent variable Performance (R 2 ) Period All (92) station Mean of T min 20030,139 Area 1 Stations Mean of T min february0,791 Area 1 Stations Mean of T max autumn0,784
Traditional representation Field of Temperature range
Conclusions Innovative and significant methodology for a youngagrometeorological region Map developing of the most important climatic indexes (ex. Winkler, Huglin, Thermal excursions etc.) Production of useful supports for local advisors and farmers
Your consent to our cookies if you continue to use this website.