A web-based GIS system for landslide risk zonation: The case of Enna area (Italy)

Author(s):  
F Castelli ◽  
E Castellano ◽  
F Contino ◽  
V Lentini
Author(s):  
J. Huang ◽  
L. You ◽  
Q. Zhou ◽  
H. Wu

This paper sketches a prototype of web-based landslide prediction service for delivering web-based training. The results show that the proposed landslide GWSC model can effectively compute the landslide risk level in different location, and consequently allow for early-warning, which starts with the sensor in the field and ending with user-opitmized warning messages and action advice.


2015 ◽  
Vol 74 (5) ◽  
pp. 4493-4505 ◽  
Author(s):  
Shengwen Qi ◽  
Xingxing Li ◽  
Songfeng Guo ◽  
Zhifa Zhan ◽  
Haijun Liao

2004 ◽  
Vol 4 (2) ◽  
pp. 213-232 ◽  
Author(s):  
F. Guzzetti ◽  
G. Tonelli

Abstract. Since 1990, we have maintained a database of historical information on landslides and floods in Italy, known as the National Research Council's AVI (Damaged Urban Areas) archive. The database was originally designed to respond to a request of the Minister of Civil Protection, and was aimed at helping the regional assessment of landslide and flood risk in Italy. The database was compiled in 1991-1992 to cover the period 1917 to 1990, and then updated to cover systematically the period 1917 to 2000, and non-systematically the periods 1900 to 1916 and 2001 to 2002. The database currently contains information on more than 32000 landslide events occurred at more than 21000 sites, and on more than 29000 flood events occurred at more than 14000 sites. Independently from the AVI archive, we have obtained other databases containing information on damage caused by mass movements and inundations, daily discharge measurements and solid-transport measurements at selected gauging stations, bibliographical and reference information on landslides and inundations, and a catalogue of National legislation on hydrological and geological hazards and risk in Italy. The databases are part of an information system known as SICI (an Italian acronym for Sistema Informativo sulle Catastrofi Idrogeologiche, Information System on Hydrological and Geomorphological Catastrophes), which is currently the largest single repository of historical information on landslides and floods in Italy. After an outline of the history and evolution of the AVI Project archive, we present and discuss: (a) the structure of the SICI information system, including the hardware and software solutions adopted to maintain, manage, update, use and disseminate the information stored in the various databases, (b) the type and amount of information stored in each database, including an estimate of their completeness, and (c) examples of recent applications of the information system, including a web-based GIS system to show the location of sites historically affected by landslides and floods, and an estimate of geo-hydrological (i.e. landslide and flood) risk in Italy based on the available historical information.


2019 ◽  
Vol 26 (16) ◽  
pp. 16026-16039
Author(s):  
Zeinab Obeidavi ◽  
Kazem Rangzan ◽  
Mostafa Kabolizade ◽  
Rouhollah Mirzaei

2013 ◽  
Vol 76 (null) ◽  
pp. 15-30
Author(s):  
Boyun Eom ◽  
김호연 ◽  
김인수 ◽  
이정훈

2021 ◽  
Author(s):  
Chenfeng Xiong

The Canadian Ice Service (CIS) has made available online access to some collections of its ice service archive. Currently, most of these historical ice information services are organized by a sort of static map images and web pages. Users can only view static result images of sea ice analyses or download raw sea ice data from the site. However, it is difficult for users to generate customized analyses without sophisticated information technology (IT). This thesis focuses on a sea ice information system (SIIS) designed specifically to improve the current CIS website with a possible method in developing web-based sea ice GIS system. The main achievements of the thesis are: (1) it accomplishes an SIIS design based on the popular web application principle known as Rich Internet Application (RIA); (2) it applies many current technologies around RIA and GIS to improve system quality; and (3) a prototype system is also developed to demonstrate how GIS may help in improving GIS-based online ice information services.


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