Keywords
decision support systems, fuzzy logic, artificial intelligence, environment, gis
Start Date
1-7-2010 12:00 AM
Abstract
Environmental problems and the related adaptation strategies have grown in importance and complexity during the last years. The large amount of data and information that needs to be handled and integrated requires specific methodologies and tools. Several research and application activities are undergoing worldwide for the development of Decision Support Systems (DSSs) that allow management of multiple and different data in order to aid decision-making. In this paper the following DSSs using fuzzy models based Artificial Intelligence to address environmental problems will be presented. SYRIADE is a Spatial DSS for Regional Risk Assessment of degraded land supporting the inventory and assessment of contaminated sites and mining waste sites at regional scale. DESYRE addresses the main phases of contaminated sites’ remediation process, e.g. analysis of social and economic benefits and constraints, site characterization, risk assessment, selection of best available technologies, analysis of residual risk and comparison of different remediation scenarios. MODELKEY is a GIS-based DSS that supports the EU Water Framework Directive (WFD) implementation by allowing the environmental quality evaluation of fluvial ecosystems and the prioritization of hot spots along the river basin. Finally, the CMCC DSS supports the identification and prioritization of climate change impacts and risks on coastal zones, in order to guide the definition of appropriate adaptations strategies.
Fuzzy logic based IEDSSs for environmental risk assessment and management
Environmental problems and the related adaptation strategies have grown in importance and complexity during the last years. The large amount of data and information that needs to be handled and integrated requires specific methodologies and tools. Several research and application activities are undergoing worldwide for the development of Decision Support Systems (DSSs) that allow management of multiple and different data in order to aid decision-making. In this paper the following DSSs using fuzzy models based Artificial Intelligence to address environmental problems will be presented. SYRIADE is a Spatial DSS for Regional Risk Assessment of degraded land supporting the inventory and assessment of contaminated sites and mining waste sites at regional scale. DESYRE addresses the main phases of contaminated sites’ remediation process, e.g. analysis of social and economic benefits and constraints, site characterization, risk assessment, selection of best available technologies, analysis of residual risk and comparison of different remediation scenarios. MODELKEY is a GIS-based DSS that supports the EU Water Framework Directive (WFD) implementation by allowing the environmental quality evaluation of fluvial ecosystems and the prioritization of hot spots along the river basin. Finally, the CMCC DSS supports the identification and prioritization of climate change impacts and risks on coastal zones, in order to guide the definition of appropriate adaptations strategies.
