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Featured researches published by D Strigaro.


Bollettino Della Societa Geologica Italiana | 2016

Costruzione di un indice di vulnerabilità sociale in relazione a pericolosità naturali per il territorio italiano

I Frigerio; D Strigaro; M Mattavelli; S Mugnano; M De Amicis

The aim of this paper is to assess social vulnerability index (SVI) against natural hazards at national scale for Italy. The methodology applyed is based on the application of SoVI method, proposed by Cutter et al. in 2003. After a careful selection of socio-economic indicators for Italian country, 15 proxy variables were prepared as input data for multivariate statistical analysis. The application of Factor Analysis (FA) produced 4 factors interpreted as: Age, Employment, Education and Anthropization. Then, the factors were combined into an additive index and finally, the SVI was mapped to evaluate its spatial distribution. The results maps can be a useful tool for territorial and emergency management planners and for Civil Protection and Policymakers to have more information about the different aspects of social vulnerability to adopt priority actions and guidelines for disaster risk reduction.


Computers & Geosciences | 2016

A GRASS GIS module to obtain an estimation of glacier behavior under climate change

D Strigaro; M Moretti; M Mattavelli; I Frigerio; Mattia De Amicis; Valter Maggi

The aim of this work is to integrate the Minimal Glacier Model in a Geographic Information System Python module in order to obtain spatial simulations of glacier retreat and to assess the future scenarios with a spatial representation. The Minimal Glacier Models are a simple yet effective way of estimating glacier response to climate fluctuations. This module can be useful for the scientific and glaciological community in order to evaluate glacier behavior, driven by climate forcing. The module, called r.glacio.model, is developed in a GRASS GIS (GRASS Development Team, 2016) environment using Python programming language combined with different libraries as GDAL, OGR, CSV, math, etc. The module is applied and validated on the Rutor glacier, a glacier in the south-western region of the Italian Alps. This glacier is very large in size and features rather regular and lively dynamics. The simulation is calibrated by reconstructing the 3-dimensional dynamics flow line and analyzing the difference between the simulated flow line length variations and the observed glacier fronts coming from ortophotos and DEMs. These simulations are driven by the past mass balance record. Afterwards, the future assessment is estimated by using climatic drivers provided by a set of General Circulation Models participating in the Climate Model Inter-comparison Project 5 effort. The approach devised in r.glacio.model can be applied to most alpine glaciers to obtain a first-order spatial representation of glacier behavior under climate change. HighlightsA module to integrate the Minimal Glacier Model in a GIS is proposed.The aim is to obtain spatial simulations to assess the future scenarios.The module is applied and validated on the Rutor glacier, in the Italian Alps.The simplicity of the model makes it applicable for a large amount of glaciers.


Computers & Geosciences | 2016

Research paperA GRASS GIS module to obtain an estimation of glacier behavior under climate change: A pilot study on Italian glacier

D Strigaro; M Moretti; M Mattavelli; I Frigerio; Mattia De Amicis; Valter Maggi

The aim of this work is to integrate the Minimal Glacier Model in a Geographic Information System Python module in order to obtain spatial simulations of glacier retreat and to assess the future scenarios with a spatial representation. The Minimal Glacier Models are a simple yet effective way of estimating glacier response to climate fluctuations. This module can be useful for the scientific and glaciological community in order to evaluate glacier behavior, driven by climate forcing. The module, called r.glacio.model, is developed in a GRASS GIS (GRASS Development Team, 2016) environment using Python programming language combined with different libraries as GDAL, OGR, CSV, math, etc. The module is applied and validated on the Rutor glacier, a glacier in the south-western region of the Italian Alps. This glacier is very large in size and features rather regular and lively dynamics. The simulation is calibrated by reconstructing the 3-dimensional dynamics flow line and analyzing the difference between the simulated flow line length variations and the observed glacier fronts coming from ortophotos and DEMs. These simulations are driven by the past mass balance record. Afterwards, the future assessment is estimated by using climatic drivers provided by a set of General Circulation Models participating in the Climate Model Inter-comparison Project 5 effort. The approach devised in r.glacio.model can be applied to most alpine glaciers to obtain a first-order spatial representation of glacier behavior under climate change. HighlightsA module to integrate the Minimal Glacier Model in a GIS is proposed.The aim is to obtain spatial simulations to assess the future scenarios.The module is applied and validated on the Rutor glacier, in the Italian Alps.The simplicity of the model makes it applicable for a large amount of glaciers.


RENDICONTI ONLINE DELLA SOCIETÀ GEOLOGICA ITALIANA | 2014

NextData Project: development of a web system for climate and paleoclimate data sharing.

Maria Teresa Melis; F. Locci; Francesco Gabriele Dessi; I Frigerio; D Strigaro; M De Amicis; Elisa Vuillermoz

Lucchi, Renata G. ... et. al.-- 87° Congresso della Societa Geologica Italiana e 90° Congresso della Societa Italiana di Mineralogia e Petrologia, The Future of the Italian Geosciences - The Italian Geosciences of the Future, 10-12 September 2014, Milan, Italy.-- 1 pageThe Montellina Spring (370 m a.s.l.) represents an example of groundwater resource in mountain region. It is a significant source of drinking water located in the right side of the Dora Baltea Valley (Northwestern Italy), SW of Quincinetto town. This spring shows a morphological location along a ridge, 400 m from the Renanchio Torrent in the lower sector of the slope. The spring was investigated using various methodologies as geological survey, supported by photo interpretation, structural reconstruction, NaCl and fluorescent tracer tests, discharge measurements. This multidisciplinary approach, necessary due to the complex geological setting, is required for the importance of the Montellina Spring. It is interesting in the hydrogeological context of Western Alps for its high discharge, relatively constant over time (average 150 l/s), and for its location outside a fluvial incision and suspended about 40 m above the Dora Baltea valley floor (Lasagna et al. 2013). According to the geological setting, the hydrogeological reconstruction of the area suggests that the large amount of groundwater in the basin is essentially favoured by a highly fractured bedrock, covered by wide and thick bodies of glacial and gravitational sediments. The emergence of the water along the slope, in the Montellina Spring, is essentially due to a change of permeability between the deep bedrock and the shallow bedrock and/or surficial sediments. The deep bedrock, showing closed fractures and/or fractures filled by glacial deposits, is slightly permeable. The shallow bedrock, strongly loosened as result of gravitational phenomena, and the local gravitational sediments are, on the contrary, highly permeable. The concentration of water at the spring is due to several reasons. a) The spring is immediately downward a detachment niche, dipping towards the spring, that essentially drains the water connected to the change of permeability in the bedrock. b) It is along an important fracture, that carries a part of the losses of the Renanchio Torrent. c) Finally, it is favored by the visible and buried morphology. Although it is located along a ridge, the spring occurs in a small depression between a moraine and a landslide body. It also can be favored by the likely concave trend of buried base of the landslide. At last, tracer tests of the Renanchio Torrent water with fluorescent tracer are performed, with a continuous monitoring in the Montellina Spring. The surveys permit to verify and quantify the spring and torrent hydrogeological relationship, suggesting that only a small fraction of stream losses feeds the spring.


87° congresso della società geologica italiana the future of the italian geosciences the italian geosciences of the future | 2014

PaleoProxy Data Base (PPDB): A comprehensive geodatabase to archive and manage paleoproxies data

D Strigaro; M Mattavelli; I Frigerio; M De Amicis

Lucchi, Renata G. ... et. al.-- 87° Congresso della Societa Geologica Italiana e 90° Congresso della Societa Italiana di Mineralogia e Petrologia, The Future of the Italian Geosciences - The Italian Geosciences of the Future, 10-12 September 2014, Milan, Italy.-- 1 pageThe Montellina Spring (370 m a.s.l.) represents an example of groundwater resource in mountain region. It is a significant source of drinking water located in the right side of the Dora Baltea Valley (Northwestern Italy), SW of Quincinetto town. This spring shows a morphological location along a ridge, 400 m from the Renanchio Torrent in the lower sector of the slope. The spring was investigated using various methodologies as geological survey, supported by photo interpretation, structural reconstruction, NaCl and fluorescent tracer tests, discharge measurements. This multidisciplinary approach, necessary due to the complex geological setting, is required for the importance of the Montellina Spring. It is interesting in the hydrogeological context of Western Alps for its high discharge, relatively constant over time (average 150 l/s), and for its location outside a fluvial incision and suspended about 40 m above the Dora Baltea valley floor (Lasagna et al. 2013). According to the geological setting, the hydrogeological reconstruction of the area suggests that the large amount of groundwater in the basin is essentially favoured by a highly fractured bedrock, covered by wide and thick bodies of glacial and gravitational sediments. The emergence of the water along the slope, in the Montellina Spring, is essentially due to a change of permeability between the deep bedrock and the shallow bedrock and/or surficial sediments. The deep bedrock, showing closed fractures and/or fractures filled by glacial deposits, is slightly permeable. The shallow bedrock, strongly loosened as result of gravitational phenomena, and the local gravitational sediments are, on the contrary, highly permeable. The concentration of water at the spring is due to several reasons. a) The spring is immediately downward a detachment niche, dipping towards the spring, that essentially drains the water connected to the change of permeability in the bedrock. b) It is along an important fracture, that carries a part of the losses of the Renanchio Torrent. c) Finally, it is favored by the visible and buried morphology. Although it is located along a ridge, the spring occurs in a small depression between a moraine and a landslide body. It also can be favored by the likely concave trend of buried base of the landslide. At last, tracer tests of the Renanchio Torrent water with fluorescent tracer are performed, with a continuous monitoring in the Montellina Spring. The surveys permit to verify and quantify the spring and torrent hydrogeological relationship, suggesting that only a small fraction of stream losses feeds the spring.


Applied Geography | 2016

A GIS-based approach to identify the spatial variability of social vulnerability to seismic hazard in Italy

I Frigerio; Stefania Ventura; D Strigaro; M Mattavelli; Mattia De Amicis; Silvia Mugnano; Mario Boffi


ATTI CONFERENZA NAZIONALE ASITA | 2013

WDBPALEO 1.0: database per la raccolta di dati paleo-climatologici

F. Locci; Francesco Gabriele Dessi; M De Amicis; I Frigerio; D Strigaro; Elisa Vuillermoz; Maria Teresa Melis


Journal of Glaciology | 2018

Mapping the suitability for ice-core drilling of glaciers in the European Alps and the Asian High Mountains

Roberto Garzonio; Biagio Di Mauro; D Strigaro; Micol Rossini; Roberto Colombo; Mattia De Amicis; Valter Maggi


Geografia Fisica E Dinamica Quaternaria | 2016

The IDB: An ice core geodatabase for paleoclimatic and glaciological analyses

M Mattavelli; D Strigaro; I Frigerio; F. Locci; Maria Teresa Melis; M De Amicis


Geomorphometry 2015; Geomorphometry for natural hazards geomodelling | 2015

Development of GIS methods to assess glaciers response to climatic fluctuations: a Minimal Model approach

D Strigaro; M Moretti; M Mattavelli; Mattia De Amicis; Valter Maggi; A Provenzale

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I Frigerio

University of Milano-Bicocca

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M Mattavelli

University of Milano-Bicocca

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M Moretti

University of Milano-Bicocca

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Mattia De Amicis

University of Milano-Bicocca

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Valter Maggi

University of Milano-Bicocca

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Roberto Garzonio

University of Milano-Bicocca

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