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Using Optimization For Environmental Simulation Model Calibration Uncertainty Analysis, B. A. Tolson, C. A. Shoemaker
Using Optimization For Environmental Simulation Model Calibration Uncertainty Analysis, B. A. Tolson, C. A. Shoemaker
International Congress on Environmental Modelling and Software
Environmental simulation models areapproximations of reality, and are therefore allsubject to varying degrees of uncertainty. Ingeneral, uncertainty sources in environmentalmodeling include parameter, data and modelstructure. When the uncertainty of these modelinputs are quantified in terms of probabilitydistributions, a traditional Monte Carlopropagation of input uncertainty can be performed.However, this traditional approach becomes muchmore complicated when model calibration data isconsidered because the random input sets sampledfrom the joint parameter and input distributionsmust also be deemed to produce reasonablepredictions of the available measured calibrationdata. Two types of methods that were developedto cope with this complication are the GeneralizedLikelihood Uncertainty Estimation or GLUEmethodology (Beven …
Impacts Of Agriculture And Dairy Farming On Groundwater Quality: An Optimization Problem, Tomaz Dentinho, R. Minciardi, M. Robba, Roberto Sacile, V. Silva
Impacts Of Agriculture And Dairy Farming On Groundwater Quality: An Optimization Problem, Tomaz Dentinho, R. Minciardi, M. Robba, Roberto Sacile, V. Silva
International Congress on Environmental Modelling and Software
A decision model for groundwater quality preservation in areas affected by intensive agriculture and dairy farming, with specific reference to the Azores islands, is presented. In these islands, the exigency to find appropriate instruments to support decisions in Integrated Water Management (IWM) is particularly felt because the increase of tourism and the dairy farming have increased water demands and depletion of water quality. An optimization problem, in terms of decision variables, objectives, and constraints is formalized. The physical/chemical/ecological models are embedded as constraints in the decision model. Specifically, four types of models (hydraulic model, chemical model, agricultural model, and dairy …
A Multi-Objective Approach For Sustainable Municipal Solid Waste (Msw) Management, R. Minciardi, Massimo Paolucci, M. Robba, Roberto Sacile
A Multi-Objective Approach For Sustainable Municipal Solid Waste (Msw) Management, R. Minciardi, Massimo Paolucci, M. Robba, Roberto Sacile
International Congress on Environmental Modelling and Software
A multi-objective approach to sustainable Municipal Solid Waste (MSW) management is presented, with the aim of supporting the decisions about the optimal flows of solid waste to be sent to landfill, recycling and to the different treatment plants. To achieve this goal, an approach is proposed in which the decision makers (DMs) are interactively involved in the decision process, following the reference point methodology [Wierzbicki et al, 2002]. The method can be viewed as an integration/modification of techniques already introduced in the literature. The purpose of the DMs is to determine the various flows of the different materials in the …
Landscape Design And Agricultural Land-Use Allocation Using Pareto-Based Multi-Objective Differential Evolution, Jeroen C. J. Groot, Walter A. H. Rossing, André Jellema, Martin Van Ittersum
Landscape Design And Agricultural Land-Use Allocation Using Pareto-Based Multi-Objective Differential Evolution, Jeroen C. J. Groot, Walter A. H. Rossing, André Jellema, Martin Van Ittersum
International Congress on Environmental Modelling and Software
Intensively managed agricultural areas in North-Western Europe are undergoing a shift from solely production oriented use to provision of multiple services and functions. Design of multifunctional agricultural landscapes can be supported by exploration of the potential to effectively combine economic performance, landscape identity, nature conservation and environmental quality. The Landscape IMAGES methodology enables spatially explicit exploration of options by multi-objective optimization, for multifunctional agriculture in landscapes at a scale of a few km². The framework has been developed to support stakeholder discussions and informed decision making. For simultaneous optimization of multiple objectives the evolutionary algorithm of Differential Evolution is employed. …
An Efficient Algorithmic Framework For Environmental Modeling, U. Diwekar
An Efficient Algorithmic Framework For Environmental Modeling, U. Diwekar
International Congress on Environmental Modelling and Software
Environmental systems often involve nonlinear models, continuous as well discrete decisions, and multiple objectives. Uncertainties are inherent in these models increasing the complexity of decision making further. This paper presents an efficient algorithmic framework for environmental decision making for large scale systems involving multiple objectives in the face of uncertainties.
A Decision Support System For Energy Production From Renewable Resources: Logistics Aspects Of Sustainable Forest Biomass Collection, R. Minciardi, M. Robba, Roberto Sacile, F. Frombo, Fulvia Rosso
A Decision Support System For Energy Production From Renewable Resources: Logistics Aspects Of Sustainable Forest Biomass Collection, R. Minciardi, M. Robba, Roberto Sacile, F. Frombo, Fulvia Rosso
International Congress on Environmental Modelling and Software
The consequences of the use of traditional fossil fuels has led, in the last years, the European Union to promote and encourage the development and the use of renewable energies rather than the traditional ones. Energy production from forest biomass does not involve the CO2 increase in the atmosphere, contributing in this way to the duties assumed by the European Community during the International Conference of Kyoto (1997). The developed DSS, that is a generalization and the further research activity presented in a previous work by the same authors (Freppaz et al. [2004]), is based on the integration of Geographic …
A Web-Based Tool For Economic Analysis Of Sediment Control On Rangeland Watersheds, Y. Duan, P. Heilman, D. Phillip Guertin
A Web-Based Tool For Economic Analysis Of Sediment Control On Rangeland Watersheds, Y. Duan, P. Heilman, D. Phillip Guertin
International Congress on Environmental Modelling and Software
This study presents a web-based spatial decision support system (SDSS) that supports watershed analysis from an economic perspective. The SDSS is intended to aid the development of sediment TMDLs sediment on rangeland watersheds. The SDSS architecture consists of three parts: the interface tier, the application tier, and the data tier. Middleware is used to integrate these three parts into one system. Dynamic web pages are used to support customized access to the system, including defining inputs, running analysis and viewing results. The middleware is used to glue the interface, model, and database together seamlessly. The embedded models include geospatial models …
Features Of Advanced Decision Support Systems For Environmental Studies, Management, And Regulation, Edwin Roehl, Ruby Daamen, Paul A. Conrads
Features Of Advanced Decision Support Systems For Environmental Studies, Management, And Regulation, Edwin Roehl, Ruby Daamen, Paul A. Conrads
International Congress on Environmental Modelling and Software
Natural resource managers and users face difficult challenges when managing the interactions between natural and man-made systems. Even though the collective interests and computer skills of the community of managers, scientists, and other stakeholders are quite varied, there is an overarching need for equal access by all to the scientific knowledge needed to make the best possible decisions. A decision support system (DSS) can meet this need. DSS have been described as, “computer-based systems (for) helping decision-makers to solve various semi structured and unstructured problems involving multiple attributes, objectives, and goals… Historically, the majority of DSSs have been either computer …
Using Optimization For Environmental Simulation Model Calibration Uncertainty Analysis, B. A. Tolson, C. A. Shoemaker
Using Optimization For Environmental Simulation Model Calibration Uncertainty Analysis, B. A. Tolson, C. A. Shoemaker
International Congress on Environmental Modelling and Software
Environmental simulation models areapproximations of reality, and are therefore allsubject to varying degrees of uncertainty. Ingeneral, uncertainty sources in environmentalmodeling include parameter, data and modelstructure. When the uncertainty of these modelinputs are quantified in terms of probabilitydistributions, a traditional Monte Carlopropagation of input uncertainty can be performed.However, this traditional approach becomes muchmore complicated when model calibration data isconsidered because the random input sets sampledfrom the joint parameter and input distributionsmust also be deemed to produce reasonablepredictions of the available measured calibrationdata. Two types of methods that were developedto cope with this complication are the GeneralizedLikelihood Uncertainty Estimation or GLUEmethodology (Beven …
Impacts Of Agriculture And Dairy Farming On Groundwater Quality: An Optimization Problem, Tomaz Dentinho, R. Minciardi, M. Robba, Roberto Sacile, V. Silva
Impacts Of Agriculture And Dairy Farming On Groundwater Quality: An Optimization Problem, Tomaz Dentinho, R. Minciardi, M. Robba, Roberto Sacile, V. Silva
International Congress on Environmental Modelling and Software
A decision model for groundwater quality preservation in areas affected by intensive agriculture and dairy farming, with specific reference to the Azores islands, is presented. In these islands, the exigency to find appropriate instruments to support decisions in Integrated Water Management (IWM) is particularly felt because the increase of tourism and the dairy farming have increased water demands and depletion of water quality. An optimization problem, in terms of decision variables, objectives, and constraints is formalized. The physical/chemical/ecological models are embedded as constraints in the decision model. Specifically, four types of models (hydraulic model, chemical model, agricultural model, and dairy …
A Multi-Objective Approach For Sustainable Municipal Solid Waste (Msw) Management, R. Minciardi, Massimo Paolucci, M. Robba, Roberto Sacile
A Multi-Objective Approach For Sustainable Municipal Solid Waste (Msw) Management, R. Minciardi, Massimo Paolucci, M. Robba, Roberto Sacile
International Congress on Environmental Modelling and Software
A multi-objective approach to sustainable Municipal Solid Waste (MSW) management is presented, with the aim of supporting the decisions about the optimal flows of solid waste to be sent to landfill, recycling and to the different treatment plants. To achieve this goal, an approach is proposed in which the decision makers (DMs) are interactively involved in the decision process, following the reference point methodology [Wierzbicki et al, 2002]. The method can be viewed as an integration/modification of techniques already introduced in the literature. The purpose of the DMs is to determine the various flows of the different materials in the …
Landscape Design And Agricultural Land-Use Allocation Using Pareto-Based Multi-Objective Differential Evolution, Jeroen C. J. Groot, Walter A. H. Rossing, André Jellema, Martin Van Ittersum
Landscape Design And Agricultural Land-Use Allocation Using Pareto-Based Multi-Objective Differential Evolution, Jeroen C. J. Groot, Walter A. H. Rossing, André Jellema, Martin Van Ittersum
International Congress on Environmental Modelling and Software
Intensively managed agricultural areas in North-Western Europe are undergoing a shift from solely production oriented use to provision of multiple services and functions. Design of multifunctional agricultural landscapes can be supported by exploration of the potential to effectively combine economic performance, landscape identity, nature conservation and environmental quality. The Landscape IMAGES methodology enables spatially explicit exploration of options by multi-objective optimization, for multifunctional agriculture in landscapes at a scale of a few km². The framework has been developed to support stakeholder discussions and informed decision making. For simultaneous optimization of multiple objectives the evolutionary algorithm of Differential Evolution is employed. …
An Efficient Algorithmic Framework For Environmental Modeling, U. Diwekar
An Efficient Algorithmic Framework For Environmental Modeling, U. Diwekar
International Congress on Environmental Modelling and Software
Environmental systems often involve nonlinear models, continuous as well discrete decisions, and multiple objectives. Uncertainties are inherent in these models increasing the complexity of decision making further. This paper presents an efficient algorithmic framework for environmental decision making for large scale systems involving multiple objectives in the face of uncertainties.
A Decision Support System For Energy Production From Renewable Resources: Logistics Aspects Of Sustainable Forest Biomass Collection, R. Minciardi, M. Robba, Roberto Sacile, F. Frombo, Fulvia Rosso
A Decision Support System For Energy Production From Renewable Resources: Logistics Aspects Of Sustainable Forest Biomass Collection, R. Minciardi, M. Robba, Roberto Sacile, F. Frombo, Fulvia Rosso
International Congress on Environmental Modelling and Software
The consequences of the use of traditional fossil fuels has led, in the last years, the European Union to promote and encourage the development and the use of renewable energies rather than the traditional ones. Energy production from forest biomass does not involve the CO2 increase in the atmosphere, contributing in this way to the duties assumed by the European Community during the International Conference of Kyoto (1997). The developed DSS, that is a generalization and the further research activity presented in a previous work by the same authors (Freppaz et al. [2004]), is based on the integration of Geographic …
A Web-Based Tool For Economic Analysis Of Sediment Control On Rangeland Watersheds, Y. Duan, P. Heilman, D. Phillip Guertin
A Web-Based Tool For Economic Analysis Of Sediment Control On Rangeland Watersheds, Y. Duan, P. Heilman, D. Phillip Guertin
International Congress on Environmental Modelling and Software
This study presents a web-based spatial decision support system (SDSS) that supports watershed analysis from an economic perspective. The SDSS is intended to aid the development of sediment TMDLs sediment on rangeland watersheds. The SDSS architecture consists of three parts: the interface tier, the application tier, and the data tier. Middleware is used to integrate these three parts into one system. Dynamic web pages are used to support customized access to the system, including defining inputs, running analysis and viewing results. The middleware is used to glue the interface, model, and database together seamlessly. The embedded models include geospatial models …
Features Of Advanced Decision Support Systems For Environmental Studies, Management, And Regulation, Edwin Roehl, Ruby Daamen, Paul A. Conrads
Features Of Advanced Decision Support Systems For Environmental Studies, Management, And Regulation, Edwin Roehl, Ruby Daamen, Paul A. Conrads
International Congress on Environmental Modelling and Software
Natural resource managers and users face difficult challenges when managing the interactions between natural and man-made systems. Even though the collective interests and computer skills of the community of managers, scientists, and other stakeholders are quite varied, there is an overarching need for equal access by all to the scientific knowledge needed to make the best possible decisions. A decision support system (DSS) can meet this need. DSS have been described as, “computer-based systems (for) helping decision-makers to solve various semi structured and unstructured problems involving multiple attributes, objectives, and goals… Historically, the majority of DSSs have been either computer …