Embedding a geographic information system in a decision support system for landslide hazard monitoring

被引:13
|
作者
Lazzari, M [1 ]
Salvaneschi, P [1 ]
机构
[1] ISMES, I-24068 Seriate, BG, Italy
关键词
landslides; safety management; major hazard early alarm; prediction systems; automatic monitoring; Geographic Information Systems (GIS); Decision Support Systems (DSS); Artificial Intelligence (AI);
D O I
10.1023/A:1008187024768
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this paper we present an application that exploits a geographic information system as a front-end of a complex information system supporting the management of landslide hazard in Valtellina, an alpine valley in Northern Italy. A decision support system (EYDENET, operational since October 1996), incorporating a geographic information system and a data interpreter based on artificial intelligence techniques, processes the readings of the 250 most significant instruments of a monitoring net of about 1000 sensors installed on different landslides in several alpine valleys. Data gathered by extensometers, clinometers and pluviometers, to check both movements of rocks and climatic conditions which could affect them, are processed by EYDENET, that provides on-line interpretation of data, helps the users analyse them, and generates natural language explanations and alarm messages for the people responsible for the environmental management and the civil protection.
引用
收藏
页码:185 / 195
页数:11
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