Natural Risk Management Research Articles

AANN을 이용한 웹-모니터링 시스템 설계에 관한 연구

Recent natural disasters like flooding and slope collapse have shown the need for natural risk management system, as they endanger directly public health and cause severe damages on the national economy. In order to improve the efficiency of risk management systems, this management system based on AANN(Auto-Associative Neural Network)is proposed in this paper. AANN can be effectively used for identification of abnormal data and data compression. The proposed AANN-based risk management system collects and stores measurement data from sensors and transmits them to remote server for web-monitoring. Generally, it is desirable to transmit the compressed data instead of raw data in normal state. However, if dangerous situation happens, rapid tramission of measurement data should be required. These requirements are easily satisfied by using AANN. In order to verify the feasibilities of the proposed system, The AANN-based risk management system is applied to slope collapse monitoring system.

Risques naturels et aménagements en Europe : répartition des compétences, niveaux territoriaux de gestion des risques et acteurs (Natural risks and development control in Europe : institutional structures, steps for risks management and actors)

We present here some aspects of the natural risk management (floods, landslides, seisms) in Europe. The regulations, the actors and the various levels of decisions are different. The cartography is present everywhere with nevertheless different purposes according to countries. The place of the insurances is not identical in all the countries.

Forecasting of Natural Disaster and Risk Management

Forecasting of Natural Disaster and Risk Management

An Advanced Set Of Tools For The InformationManagement Of Natural Hazards

In the management of natural hazards, one of the major constraints to the effectiveness of interventions and relief actions is represented by the difficult circulation of reliable information among involved entities, on occurrence of any hazardous event. This, worsened by a poorly unified and homogeneous approach, could have a dramatic impact on planning and execution of safety procedures. In this context, DATAMAT is conceiving several initiatives that, starting from the concrete operational experience of civil protection entities, are producing an integrated set of tools in support of the decision process. The outstanding initiative presented in the paper is FORMIDABLE (Friendly Operational Risk Management through Interoperable Decision Aid Based on Local Events), a joint European enterprise aimed at standardising emergency management procedures and derive from that an interoperable system providing a standardised access to the information required for natural risks management. As repository of natural disasters related knowledge, FORMIDABLE will represent the main source for local authorities who will receive near-real time standardised operational tasks and scenario description. EO data will support high performance Internet GIS application, showing dynamic thematic view of the event scenario, through the integration of remotely sensed images with risk maps and the elaboration and analysis of dynamic damage assessment models. Furthermore, the paper presents two further examples of tools, aimed at prototyping specific aspects of the FORMIDABLE suite of decision aid systems: SIRECAM, a fully GIS-based decision support tool at regional level, supporting local civil protection authorities on hydrogeological hazards (floods, drought, landslide); DECIDE, a system integrating Earth Observation information in the decision support process for flood. Management Information Systems, C.A. Brebbia & P. Pascolo (Editors) © 2000 WIT Press, www.witpress.com, ISBN 1-85312-815-5

The Role of Natural Remediation In Ecological Risk Assessment

Click to increase image sizeClick to decrease image sizeKeywords: natural remediationnatural attenuationecological risk assessmentecological risk management