Development of a Decision Support Tool for Technological Risk Management with Remote Sensing and GIS

2005 ◽  
pp. 342-353
Author(s):  
Nektarios Chrysoulakis ◽  
Poulicos Prastacos ◽  
Constantinos Cartalis
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Urban Areas ◽  
Decision Support Tool ◽  
Human Environment ◽  
Support Tool ◽  
Technological Risk ◽  
Landsat Satellite ◽  
Very High

In this study, a GIS based decision support tool is proposed for the support of technological risk management by integrating moderate and high spatial resolution satellite imagery with in-situ vector data. The Advanced Very High Resolution Radiometer (AVHRR) on board the NOAA satellites has been used for the detection of fire as well as for the detection and monitoring of plumes caused by major technological accidents. The Thematic Mapper (TM) on board the Landsat satellite has been used for the depiction of the urban areas and the main road network as well as for the estimation of the spatial distribution of vegetation in the study area. A major technological accident scenario was developed for the broader area of Athens (Greece) in order to present the functionality of the GIS tool for the support of decision making during the crisis, as well as for the assessment of the accident’s impact on the natural and human environment.

A decision support tool for the assessment of air quality in urban areas: An application for Athens, Greece

1999 ◽  
Vol 69 (1-2) ◽  
pp. 31-42
Author(s):  
D. Deligiorgi ◽  
C. Cartalis ◽  
G. Kouroupetroglou ◽  
C. Moutselos ◽  
E. Kambitsi
Keyword(s):  
Decision Support ◽  
Air Quality ◽  
Urban Areas ◽  
Decision Support Tool ◽  
Support Tool

scholarly journals A spatial decision support system for enhancing resilience to floods. Bridging resilience modeling and geovisualization techniques

2019 ◽  
Author(s):  
Charlotte Heinzlef ◽  
Vincent Becue ◽  
Damien Serre
Keyword(s):  
Decision Support ◽  
Urban Areas ◽  
Decision Support Tool ◽  
Assessment Method ◽  
Spatial Decision Support System ◽  
Urban Resilience ◽  
Spatial Decision Support ◽  
Urban Flood ◽  
Support Tool ◽  
Resilience Indicators

Abstract. In the context of climate change and increasing urbanization, floods are considerably affecting urban areas. The concept of urban resilience may be an interesting means of responding to urban flood issues. The objective of this research is to propose a spatial decision support tool based on geovisualization techniques and a resilience assessment method. The goal is to localize the level of resilience modeled in different territories. The methodology proposed consists in integrating three resilience indicators applied to a case study in Avignon (Provence Alpes Côte d'Azur Region, France) and the use of geovisualization techniques: using GIS for data processing and analysis, visualization, mapping and model processing. The methodology integrates decision-making by identifying characteristics capable of improving urban resilience and facilitating its understanding using a visual tool. The results demonstrate the usefulness of modeling resilience using geovisualization techniques to identify the potential for local resilience, integrate local stakeholders into a process of clarifying the concept through the contribution of visualization, and consider easier access to this concept based on data analysis, processing and visualization through the design of maps.

The forest protection service: a risk management decision support tool

2021 ◽  
Author(s):  
Stefano Bruzzese ◽  
Simone Blanc ◽  
Filippo Brun
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Natural Hazards ◽  
Stated Preference ◽  
Decision Support Tool ◽  
Management Decision ◽  
Target Market ◽  
Forest Protection ◽  
Large Spatial Scale ◽  
Support Tool

<p>In recent years in mountain areas, natural hazards such as rockfalls, avalanches and mudflows, triggered by ongoing climate change have increased in both frequency and magnitude. Hazards that, accompanied by increasing demographic pressure, socio-economic and land-use changes, especially in the Alpine region, have called for a greater need for human protection. This demand can be met with artificial structures, such as rockfall nets and avalanche fences, or with natural solutions, such as forests if properly managed. However, the protection service provided by forests, against natural hazards is difficult to value because it has no target market. Therefore, providing a value for this service would allow it to be integrated into risk management plans and programs. In this work, we analyzed from a qualitative and quantitative point of view the most widely used economic methods for estimating the protection service provided by forests against natural hazards, providing a decision support tool for stakeholders involved in risk management. The main results indicate that, depending on the resources and time available, as well as the spatial and temporal scale required, some methods are preferable to others. The Replacement Cost method is well suited to most operational contexts in which stakeholders may find themselves, as it is replicable, cost-effective and results are reliable and easily communicated. Although the Avoided Damages method refers to market data and is also capable of estimating indirect costs, it has the limitation of being site-specific. While the stated preference methods are suited for long-term evaluations on a large spatial scale, they require a high level of expertise and are costly in terms of both time and resources. From our analysis, we can conclude that the provided decision support tool should not replace the human ability to analyze complex situations, but rather be an aid to this process. The combination of this tool with others, such as frameworks and guidelines, provides a flexible support system aimed at improving the design and implementation of future ecosystem service assessments and management, as well as related decision-making.</p>

scholarly journals A spatial decision support system for enhancing resilience to floods: bridging resilience modelling and geovisualization techniques

2020 ◽  
Vol 20 (4) ◽  
pp. 1049-1068 ◽  
Author(s):  
Charlotte Heinzlef ◽  
Vincent Becue ◽  
Damien Serre
Keyword(s):  
Decision Support ◽  
Urban Areas ◽  
Decision Support Tool ◽  
Assessment Method ◽  
Spatial Decision Support System ◽  
Urban Resilience ◽  
Spatial Decision Support ◽  
Urban Flood ◽  
Support Tool ◽  
Resilience Indicators

Abstract. In the context of climate change and increasing urbanization, floods are considerably affecting urban areas. The concept of urban resilience may be an interesting means of responding to urban flood issues. The objective of this research is to propose a spatial decision support tool based on geovisualization techniques and a resilience assessment method. The goal is to localize the level of resilience modelled in different territories. The methodology proposed consists of integrating three resilience indicators applied to a case study in Avignon (Provence-Alpes-Côte d'Azur region, France) and the use of geovisualization techniques: using GIS for data processing and analysis, visualization, mapping, and model processing. The methodology integrates decision-making by identifying characteristics capable of improving urban resilience and facilitating its understanding using a visual tool. The results demonstrate the usefulness of modelling resilience using geovisualization techniques to identify the potential for local resilience; integrate local stakeholders into a process of clarifying the concept through the contribution of visualization; and consider easier access to this concept based on data analysis, processing and visualization through the design of maps.

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