Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | UNCERTAINTY ASSESSMENT OF GROUNDWATER QUALITY INDEX USING SEQUENTIAL INDICATOR SIMULATION |
| Abstract | A probabilistic approach, utilizing geostatistics, is proposed to assess groundwater contamination. The study case was a monitoring network of 40 wells located in an about 1300 km2 area of a pilot basin in southern Italy. Sequential Indicator Simulation (SIS) was applied to spatialise the groundwater quality data, using categorical lithological data as auxiliary variable. Standardized entropy was calculated to assess prediction uncertainty. Post-processing of one thousand simulations produced two kinds of maps: groundwater quality class with the largest probability of occurrence and prediction uncertainty. The results showed a general poor quality of the groundwater, mostly in the southern part of the study area, characterized by intensive farming practices. The two maps, jointly used, could effectively support water managers' activities. |
| Source | Spatial - "Data Methods for Environmental and Ecological Processes", FOGGIA, 14-15 Settembre 2006 |
| Keywords | Sequential indicator simulationStandardized entropyUncertainty |
| Year | 2006 |
| Type | Contributo in atti di convegno |
| Authors | BARCA E., CASTRIGNANÒ A., MASCIALE R., PASSARELLA G., SEDDA L. |
| Text | 89448 2006 Sequential indicator simulation Standardized entropy Uncertainty UNCERTAINTY ASSESSMENT OF GROUNDWATER QUALITY INDEX USING SEQUENTIAL INDICATOR SIMULATION BARCA E., CASTRIGNANÒ A., MASCIALE R., PASSARELLA G., SEDDA L. BARCA E., MASCIALE R., PASSARELLA G. National Research Council Water Research Institute CNR IRSA Bari, Italy CASTRIGNANÒ A., SEDDA L. Agronomic Experimental Institute ISA , Bari Italy. A probabilistic approach, utilizing geostatistics, is proposed to assess groundwater contamination. The study case was a monitoring network of 40 wells located in an about 1300 km2 area of a pilot basin in southern Italy. Sequential Indicator Simulation SIS was applied to spatialise the groundwater quality data, using categorical lithological data as auxiliary variable. Standardized entropy was calculated to assess prediction uncertainty. Post processing of one thousand simulations produced two kinds of maps groundwater quality class with the largest probability of occurrence and prediction uncertainty. The results showed a general poor quality of the groundwater, mostly in the southern part of the study area, characterized by intensive farming practices. The two maps, jointly used, could effectively support water managers activities. Proceedings of Spatial Data Methods for Environmental and Ecological Processes Cafarelli B., Jona Lasinio G., Pollice A. 88 8459 078 7 Pubblicazione in atti di convegno con ISBN. Spatial Data Methods for Environmental and Ecological Processes FOGGIA 14 15 Settembre 2006 Internazionale Contributo UNCERTAINTY ASSESSMENT OF GROUNDWATER QUALITY INDEX USING SEQUENTIAL INDICATOR SIMULATION Pubblicazione in atti di convegno con ISBN. INT_Contributo_in_atti_Convegno_17.pdf Contributo in atti di convegno emanuele.barca BARCA EMANUELE rita.masciale MASCIALE RITA giuseppe.passarella PASSARELLA GIUSEPPE TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche |