The results of a study on the recent evolution of the “Comacchio wetland” are presented. Natural and human subsidence till now involving this area near the Po delta region (Northern Italy), that has been locally and timely reclaimed. Last drainage dated the year 1960. The land altimetrical variations in the last preserved salt water basin has been observed with reference to data collected in different times. This phenomenon has been caused by complex factors, not yet characterized: therefore it has been studied integrating geostatistical methodologies and GIS spatial analysis tools. Geostatistical models of spatial variability have been identified and their evolution through the time analysed. Also the modeling of altimetrical variation over the time interval considered (20 last years) has been spatially modeled. The approach of IRF-k theory was adopted., integrated with “external drift” based on knowledge of relevant morphological elements.
Advanced methodologies for modelling in GIS: The recent evolution of Comacchio wetland / Bruno, R.; Gallerani, S.; Dondoli, A.; Geremel, F.; Valpreda, E.; Raspa, Giuseppe. - STAMPA. - 1:(1995), pp. A354-A360. (Intervento presentato al convegno JOINT EUROPEAN CONFERENCE AND EXHIBITION ON GEOGRAPHICAL INFORMATION - FROM RESEARCH TO APPLICATION THROUGH COOPERATION tenutosi a THE HAGUE, NETHERLANDS nel MAR 26-31, 1995).
Advanced methodologies for modelling in GIS: The recent evolution of Comacchio wetland
RASPA, Giuseppe
1995
Abstract
The results of a study on the recent evolution of the “Comacchio wetland” are presented. Natural and human subsidence till now involving this area near the Po delta region (Northern Italy), that has been locally and timely reclaimed. Last drainage dated the year 1960. The land altimetrical variations in the last preserved salt water basin has been observed with reference to data collected in different times. This phenomenon has been caused by complex factors, not yet characterized: therefore it has been studied integrating geostatistical methodologies and GIS spatial analysis tools. Geostatistical models of spatial variability have been identified and their evolution through the time analysed. Also the modeling of altimetrical variation over the time interval considered (20 last years) has been spatially modeled. The approach of IRF-k theory was adopted., integrated with “external drift” based on knowledge of relevant morphological elements.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
