One of the main problems of NATECH accidents is the simultaneous occurrence of a natural disaster and a technological accident, both of which require simultaneous response efforts in a situation in which lifelines needed for disaster mitigation are likely to be unavailable. In addition, hazardous-materials releases may be triggered from single or multiple sources in one installation or at the same time from several hazardous installations In this paper it is proposed and evaluated the application of multi-rotor drones for NATECH accident emergency management. The system should be composed by a fleet of drones characterized by different levels of performance. The peak performing drone should be equipped with visible and near-infrared sensors, a thermal camera and dedicated sensors for the sensing and monitoring of dangerous substances. The multi-rotor system allow stationary flight inside the industrial plants avoiding the presence of a human operator near hazardous-materials release source. The WiFi connection allows real time data processing and management of the situation. This methodology represent an effective approach to NaTech disasters management and consequences evaluation.
Recent events outlined the relevance of the interactions between industrial and natural hazards (NATECH) particularly for that concern seismic risk. EU regulation, namely Directive 2012/18/EU, among its new elements explicitly requires the analysis of NATECH hazards. The development of a risk analysis methodology for major hazard industrial plants allows the individuation of critical elements of the plants with regard to seismic actions. The following implementation of smart technologies (sensors, actuators, innovative systems for seismic protection) to the critical elements allows a relevant reduction of major hazards and related consequences.
Recent major natural disasters highlighted the emergence of a new type of risk that manifests itself when the natural and technological worlds collide. The impact of a natural disaster on a facility storing or processing dangerous substances can result in the release of hazardous materials with possibly severe off-site consequences through toxic-release, fire or explosion scenarios. EU regulation, namely Directive 2012/18/EU, among its new elements explicitly requires the analysis of NaTech (natural hazard triggering technological disasters) hazards. Main issue related to NaTech accidents is the simultaneous occurrence of a natural disaster and a technological accident, both of which require simultaneous response efforts in a situation in which lifelines needed for disaster mitigation are likely to be unavailable. In addition, hazardous-materials releases may be triggered from single or multiple sources in one installation or at the same time from several hazardous installations in the natural disaster's impact area, requiring emergency-management resources occupied with responding to the natural disaster to be diverted. In this paper it is proposed and evaluated the application of multi-rotor systems for NaTech accident emergency management. The drone should be equipped with visible and near-infrared sensors, a thermal camera and dedicated sensors for the sensing and monitoring of dangerous substances. The multi-rotor systems allow stationary flight inside the industrial plants avoiding the presence of a human operator near hazardous-materials release source. The WiFi connection allows real time data processing and management of the situation. This methodology represent an effective approach to NaTech disasters management and consequences evaluation.
A correct urban and land-use planning can be supported by several innovative tools and methodologies. In this paper
the potential of remote sensing and GIS technologies have been emphasized. The proposed methodology has been
applied to the River Pescara Valley, considered as the appropriate coverage to define environmental features that
influence the industrial areas. For this research MIVIS hyperspectral (at a 1500 and 3000 m elevation) images have been
used. The obtained images have been georeferenced. From the processing and classification of these images some
information layer have been obtained: thematic maps of land-use (industrial areas identification), vegetation conditions,
thermal pollution, quality parameters (temperature, organic matter, chlorophyll, sediments) for river and sea waters.
Thematic maps obtained from remote sensing have been inserted in a GIS, that means a system to insert, store, integrate,
extract, retrieve, manipulate and analyze georeferenced data layers in order to produce interpretable information. Then
the data base has been integrated with further information inserted as continuous layers; thematic layers; vector layers;
punctual data; attributes. Some specific operators have been applied that allowed to integrate the information contents
and therefore to obtain final thematic maps (environmental quality maps, vulnerability and risk maps, visualization of
models related to accidental events). The innovative technologies proposed facilitate and optimize the duties required
from actual regulations, as for a recent Italian regulation aimed to the verification and research of compatibility of major
hazard industrial plants with land-use and environment. Therefore it is useful to develop methodologies supporting
industry and Competent Authorities.
A correct urban and land-use planning can be supported by several innovative tools and methodologies. In this paper the potential of remote sensing and GIS technologies have been emphasized. The proposed methodology has been applied to the River Pescara Valley, considered as the appropriate coverage in order to define environmental features that influence the industrial areas. For this research MIVIS hyperspectral (at 1500 and 3000 m of elevation) sensor images have been used. The obtained images have been georeferenced. From the processing and classification of these images some information layer have been obtained: thematic maps of land-use (industrial areas identification), vegetation conditions, thermal pollution, quality parameters (temperature, organic matter, chlorophyll, sediments) for river and sea waters. Thematic maps obtained from remote sensing have been inserted in a GIS, that means a system to insert, store, integrate, extract, retrieve, manipulate and analyze georeferenced data layers in order to produce interpretable information. Then the data base has been integrated with further information inserted as continuous layers; thematic layers; vector layers; punctual data; attributes. Some specific operators have been applied that allowed to integrate the information contents and therefore to obtain final thematic maps (environmental quality maps, vulnerability and risk maps, visualization of models related to accidental events). The innovative technologies proposed facilitate and optimize the duties required from actual regulations, as for a recent Italian regulation aimed to the verification and research of compatibility of major hazard industrial plants with land-use and environment. Therefore it is useful to develop methodologies supporting industry and Competent Authorities.
The aim of this paper is to outline the potential of imaging spectrometry and GIS techniques as tools for the monitoring of coastal sea waters and for the management of industrial/agricultural pollution phenomena. A specific flight was realized on September 30, 1999 using a hyperspectral MIVIS sensor that collected data in 102 spectral channels between 0.43 and 12.7 micrometers . Hyperspectral aerial images have been processed in order to obtain updated and accurate water quality maps. Furthermore important information on bathymetry, sea bottom features and hydrodynamic circulation have been derived from image processing and on-site surveys. The obtained information layers have been inserted in a specific GIS database and integrated with further information. The processing of data layers was performed, using a dedicated software, through typical GIS operators like indexing, recording, matrix analysis, proximity analysis. The interactions between sea water, industrial installations, agricultural areas, water resources, urban settlements and natural risks have been analyzed. This allowed the creation and processing of different thematic layers like quality, vulnerability, risk and impact maps.
The aim of this paper is to outline the potential of imaging spectroscopy and GIS techniques as tool for the management of data rich environments, as complex fluvial areas, exposed to geological, geomorphological, and hydrogeological risks. The area of study, the Pescara River Basin is characterized by the presence of important industrial sites and by the occurrence of floods, landslides and seismic events. Data were collected, during a specific flight, using an hyperspectral MIVIS sensor. Images have been processed in order to obtain updated and accurate land-cover and land-use maps that have been inserted in a specific GIS database and integrated with further information like lithology, geological structure, geomorphology, hydrogeological features, productive plants location and characters. The processing of data layers was performed, using a dedicated software, through typical GIS operators like indexing, recording, matrix analysis, proximity analysis. The interactions between natural risks, industrial installations, agricultural areas, water resources and urban settlements have been analyzed. This allowed the creation and processing of thematic layers like vulnerability, risk and impact maps.
The aim of this paper is to outline the potential of imaging spectrometry and GIS techniques as tools for the management of data rich environments, as complex fluvial areas, exposed to geology cal, geomorphological and hydrogeological risks. The area of study, the Pescara River Basin (Central Italy) is characterised by the presence of important industrial sites (Sulmona and Pescara) and by the occurrence of floods, lanslides and seismic events. Data were collected, during a specific flight, using an hyperpectral MIVIS sensor (102 channels between 0.43 and 12.7 µm). Images have been processed in order to obtain updated and accurate land-cover and land-use maps that have been inserted in a specific GIS database and integrated with further information like lithology, geological structure, geomorphology, hydrogeological features, productive plants location and characters. The processing of data layers was performed, using a dedicated software, through typical GIS operators like indexing, recoding, matrix analysis, proximity analysis. The interactions between natural risks, industrial installations, agricultural areas, water resources and urban settlements have been analysed. This allowed the creation and processing of thematic layers like vulnerability, risk and impact maps.
The aim of this paper is to outline the potential of remote sensing and GIS techniques as tools for the management of data rich environments, as complex coastal areas, exposed to industrial pollution phenomena. The area of study, Pianura Pontina is located in central Italy, 70 km south of Rome. In particular the possible patterns of surface and ground waters pollution have been considered. Furthermore the interactions between industrial installations, water resources, protected areas and urban settlements have been analyzed. Landsat TM satellite images have been processed in order to obtain a land-use map that has been inserted in a GIS database and integrated with further information like lithology, geological structure and stratigraphy, hydrogeological features, DEM, industrial plants location and characters. This allowed the creation and processing of different thematic maps: vulnerability, risk, impact. The methodology can be a reliable, sensible and easy to update support to competent Authorities in environmental management.
This paper is proposed by the laboratory of ISPESL involved, in particular, in the study of interactions between industrial plants and natural hazards. For the determining of eventual short term effects of a catastrophic and/or extreme natural event, a study site in the industrial area of Ascoli Piceno (Marche Region, Central Italy) has been individuated. This area is particularly interesting and sensitive due to the coexistence of industrial plants and urban settlements in a fluvial environment. The study of updated stereoscopic aerial photos, integrated by field survey and information for different sources, has allowed the definition of land vulnerability and the individuation of different natural hazards. As outlined by this analysis, the major geomorphologic risk, in the study area, is represented by the eventual flooding of River Tronto. Indeed many of the industrial plants are located in the flood area of the river, just a few meters above the mean river water level. For that concerns this kind of event a zoning of hazard has been derived from stereoscopic aerial photos analysis, integrated by hydrological, geological and geomorphological data.
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