Title Integration of natural and technological risks in Lombardy, Italy
Author Lari, S.; Frattini, P.; Crosta, G.B.
Author Affil Lari, S., Universitá degli Studi di Milano-Bicocca, Dipartimento di Scienze Geologiche e Geotecnologie, Milan, Italy
Source Natural Hazards and Earth System Sciences (NHESS), 9(6), p.2085-2106, . Publisher: Copernicus GmbH on behalf of the European Geophysical Society, Katlenburg- Lindau, Germany. ISSN: 1561- 8633
Publication Date 2009
Notes In English. Accessed in Oct., 2010. 63 refs. GeoRef Acc. No: 309765
Index Terms avalanches; computer applications; earthquakes; engineering geology; fires; flooding; hydrogeology; landslides; mapping; mass movements (geology); countermeasures; environmental protection; safety; snow; storms; Apennines; Italy--Bergamo; Italy-- Brescia; Italy--Milan; Italy--Po Valley; Alps- -Rhaetian; Italy--Varese; alluvial fans; Alps; Bergamo Italy; Brescia Italy; Central Alps; data bases; data processing; debris flows; decision-making; Europe; floods; fuzzy logic; geologic hazards; Italy; land use; Lombardy Italy; mass movements; Milan Italy; mitigation; natural hazards; planning; Po Valley; preventive measures; public policy; Rhaetian Alps; risk assessment; risk management; rockfalls; seismic risk; sensitivity analysis; Southern Europe; urban environment; Varese Italy
Abstract Multi-risk assessment is becoming a valuable tool for land planning, emergency management and the deployment of mitigation strategies. Multi-risk maps combine all available information about hazard, vulnerability, and exposed values related to different dangerous phenomena, and provide a quantitative support to complex decision making. We analyse and integrate through an indicator-based approach nine major threats affecting the Lombardy Region (Northern Italy, 25 000 km2), namely landslide, avalanche, flood, wildfire, seismic, meteorological, industrial (technological) risks; road accidents, and work injuries. For each threat, we develop a set of indicators that express the physical risk and the coping capacity or system resilience. By combining these indicators through different weighting strategies (i.e. budgetary allocation, and fuzzy logic), we calculate a total risk for each threat. Then, we integrate these risks by applying AHP (Analytic Hierarchy Process) weighting, and we derive a set of multi-risk maps. Eventually, we identify the dominant risks for each zone, and a number of risk hot- spot areas. The proposed approach can be applied with different degree of detail depending on the quality of the available data. This allows the application of the method even in case of non homogeneous data, which is often the case for regional scale analyses. Moreover, it allows the integration of different risk types or metrics. Relative risk scores are provided from this methodology, not directly accounting for the temporal occurrence probability of the phenomena.
URL http://hdl.handle.net/10.5194/nhess-9-2085-2009
Publication Type journal article
Record ID 65006347