The environmental risk analysis involves the observation of complex phenomena. Different kinds of information, such as environmental, socio-economic, political and institutional data, are usually collected. In this paper, spatial-temporal geostatistical analysis is combined with the use of a Geographic Information System (GIS): the integration between geostatistical tools and GIS enables the identification of alternative scenarios and possible strategies for the environmental risk manage- ment. A case study on environmental data measured in the southern part of Apulia region (South of Italy), called Grande Salento, is discussed. Sample data (concentra- tions of PM10, wind speed, temperature) taken at different air monitoring stations are used for stochastic prediction, through space-time indicator kriging.
Geostatistics and GIS: tools for environmental risk assessment
MAGGIO, Sabrina;CAPPELLO, CLAUDIA;PELLEGRINO, DANIELA
2011-01-01
Abstract
The environmental risk analysis involves the observation of complex phenomena. Different kinds of information, such as environmental, socio-economic, political and institutional data, are usually collected. In this paper, spatial-temporal geostatistical analysis is combined with the use of a Geographic Information System (GIS): the integration between geostatistical tools and GIS enables the identification of alternative scenarios and possible strategies for the environmental risk manage- ment. A case study on environmental data measured in the southern part of Apulia region (South of Italy), called Grande Salento, is discussed. Sample data (concentra- tions of PM10, wind speed, temperature) taken at different air monitoring stations are used for stochastic prediction, through space-time indicator kriging.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
