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Spatially Distributed Identification Of Debris Flow Source Areas By Credal Networks, A. Salvetti, A. Antonucci, M. Zaffalon
Spatially Distributed Identification Of Debris Flow Source Areas By Credal Networks, A. Salvetti, A. Antonucci, M. Zaffalon
International Congress on Environmental Modelling and Software
Debris flows represent a very destructive natural hazard, affecting buildings, transport infrastructures, and, very often, causing human losses in mountain regions. That makes the identification of potential source areas of debris flows inside a watershed particularly important. In this paper we present a general identification procedure based on the credal network (that is an imprecise probabilistic graphical model generalizing Bayesian networks) originally introduced by Antonucci et al. [2004]. That model is significantly improved by a more refined description of the meteorological and hydrological processes contributing to the debris flow initiation. As a counterpart of such improvement, the model pays a …
Bridging The Gap Between Geohydrologic Data And Distributed Hydrologic Modeling, G. Bhatt, M. Kumar, C. J. Duffy
Bridging The Gap Between Geohydrologic Data And Distributed Hydrologic Modeling, G. Bhatt, M. Kumar, C. J. Duffy
International Congress on Environmental Modelling and Software
This paper outlines and demonstrates a strategy for coupling of integrated hydrologic model and Geographic Information System (GIS) to meet pre/post processing of data and visualization. Physically based fully distributed integrated hydrologic models seek to simulate hydrologic state variables and their interactions in space and time. The process requires interaction with a range of heterogeneous data layers such as topography, soils, hydrogeology, climate, and land use. Clearly, this requires a strategy for defining topology definitions, data gathering and development. Traditionally GIS has been used for data management, analysis and visualization. Integrated use and streamlineed development of sophisticated numerical models and …
Integrated Model Platform For Sustainable Energy Planning. Colombian Case., R. Quijano, J. Domínguez
Integrated Model Platform For Sustainable Energy Planning. Colombian Case., R. Quijano, J. Domínguez
International Congress on Environmental Modelling and Software
Colombia has relied for long on a generous endowment of fossil fuels (oil, coal and gas) and hydropower to meet domestic energy needs and also to contribute substantially to the balance of trade in international markets. But this situation is about to change due to the announced loss of self-sufficiency in oil (forecasted by 2010-2011) unless a dramatic last minute change in proven reserves occurs. Likewise, Colombia’s hydro potential (the largest energy source for power generation in the country) is facing difficulties to add further representation within the generation mix. These difficulties include increasing environmental and social costs associated with …
Bottom-Up Methodologies For The Modeling And Upscaling Of Farm Nitrogen Losses In European Landscapes, Tommy Dalgaard, C. Kjeldsen
Bottom-Up Methodologies For The Modeling And Upscaling Of Farm Nitrogen Losses In European Landscapes, Tommy Dalgaard, C. Kjeldsen
International Congress on Environmental Modelling and Software
This paper presents bottom-up scaling methodologies, implemented in the MEA-Scope strategic research project, and in the NitroEurope landscape level component. Both projects are based on a bottom-up approach, where farm information are collected for landscapes in Germany, Slovakia, Poland, France, Hungary, Italy, Scotland, The Netherlands and Denmark; and landscape level impacts of the Model for European Agriculture (MEA) are assessed. This paper is about the upscaling from farm to landscape level, and focuses on the modelling of Nitrogen surplus from agriculture as an indicator for water pollution. It is demonstrated in detail how farm information from the Danish landscape is …
An Environmental Decision Support System For An Efficient Monitoring And Planning Of Woody Biomass For Energy Production, With Remote Sensing Aid, F. Frombo, M. De Martino, R. Minciardi, M. Robba, S. B. Serpico
An Environmental Decision Support System For An Efficient Monitoring And Planning Of Woody Biomass For Energy Production, With Remote Sensing Aid, F. Frombo, M. De Martino, R. Minciardi, M. Robba, S. B. Serpico
International Congress on Environmental Modelling and Software
The proposed paper describes the architecture of a GIS-based Environmental Decision Support System (EDSS) that integrates software tools and sensors, such as: remote sensing for environmental monitoring and support to mathematical models, optimization models (for planning plant size, kind, and biomass harvesting), dynamic forest growth models, and models for carbon dioxide balance calculation. The proposed EDSS is innovative as regards the current literature because it will be a tool for operational monitoring, cost minimization and efficient planning intervention, in accordance with natural and anthropogenic events that occur on the sites. The features of the EDSS and of the user-friendly interface …