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Optimal Modularization Of Learning Models In Forecasting Environmental Variables, Dimitri P. Solomatine
Optimal Modularization Of Learning Models In Forecasting Environmental Variables, Dimitri P. Solomatine
International Congress on Environmental Modelling and Software
Data-driven models based on the methods of machine learning have proven to be accurate tools in predicting various natural phenomena. Their accuracy can be however increased if several learning models are combined in an ensemble or a committee. Modular model is a particular type of a committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input space, and may be trained on a subset of the training set. This paper presents a number of approaches to building modular models. An issue of including a domain expert …
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 …
Logisnet: A Tool For Multimethod, Multilayer Slope Stability Analysis, G. Legorreta Paulin, M. I. Bursik
Logisnet: A Tool For Multimethod, Multilayer Slope Stability Analysis, G. Legorreta Paulin, M. I. Bursik
International Congress on Environmental Modelling and Software
Shallow landslides or slope failures have been studied from several points of view. In particular, numerous methods have been developed to assess slope stability. However, little work has been done on the systematic comparison of different techniques, and the incorporation of vertical contrasts of geotechnical properties in multiple soil layers. In this research, stability is modeled by using LOGISNET, an acronym for logistic regression, Geographic Information System and Neural Network. LOGISNET is a project of which the main purpose is to provide government planners and decision makers a tool to assess landslide susceptibility. The system is fully operational for models …
Logisnet: A Tool For Multimethod, Multilayer Slope Stability Analysis, G. Legorreta Paulin, M. I. Bursik
Logisnet: A Tool For Multimethod, Multilayer Slope Stability Analysis, G. Legorreta Paulin, M. I. Bursik
International Congress on Environmental Modelling and Software
Shallow landslides or slope failures have been studied from several points of view. In particular, numerous methods have been developed to assess slope stability. However, little work has been done on the systematic comparison of different techniques, and the incorporation of vertical contrasts of geotechnical properties in multiple soil layers. In this research, stability is modeled by using LOGISNET, an acronym for logistic regression, Geographic Information System and Neural Network. LOGISNET is a project of which the main purpose is to provide government planners and decision makers a tool to assess landslide susceptibility. The system is fully operational for models …
Numerically Optimized Empirical Modeling Of Highly Dynamic, Spatially Expansive, And Behaviorally Heterogeneous Hydrologic Systems – Part 1, Edwin Roehl, John Risley, Jana Stewart, Matthew Mitro
Numerically Optimized Empirical Modeling Of Highly Dynamic, Spatially Expansive, And Behaviorally Heterogeneous Hydrologic Systems – Part 1, Edwin Roehl, John Risley, Jana Stewart, Matthew Mitro
International Congress on Environmental Modelling and Software
Natural systems exhibit random, chaotic, and multiply periodic behaviors that are driven by gravity, weather, and man-made disturbances. Modeling them on a large scale is challenging because behaviors vary discontinuously both spatially and in time. Modeling requires calibration and validation data that represent a diversity of causes and effects. Measured variables are either categorical (static) or dynamic (time series). Integrating multiple data types and reducing large numbers of variables to a select set often leads to subjective decision-making that has significant ramifications when applying state-of-the-art multi-step modeling approaches, e.g., land-use models driving finite element flow models. This paper is Part …
Optimal Modularization Of Learning Models In Forecasting Environmental Variables, Dimitri P. Solomatine
Optimal Modularization Of Learning Models In Forecasting Environmental Variables, Dimitri P. Solomatine
International Congress on Environmental Modelling and Software
Data-driven models based on the methods of machine learning have proven to be accurate tools in predicting various natural phenomena. Their accuracy can be however increased if several learning models are combined in an ensemble or a committee. Modular model is a particular type of a committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input space, and may be trained on a subset of the training set. This paper presents a number of approaches to building modular models. An issue of including a domain expert …
New Directions And Challenges In Spatial Dynamic Modelling Of Ecosystem Functions In Heterogeneous Landscapes As Basis For A Better Sustainable Landscape Management, Karl-Otto Wenkel, Ralf Wieland, Wilfried Mirschel
New Directions And Challenges In Spatial Dynamic Modelling Of Ecosystem Functions In Heterogeneous Landscapes As Basis For A Better Sustainable Landscape Management, Karl-Otto Wenkel, Ralf Wieland, Wilfried Mirschel
International Congress on Environmental Modelling and Software
The aim of this paper is to discuss scientific challenges and new possibilities for a better modelling of consequences of land use changes in heterogeneous landscapes on ecosystem functions in space and time. The landscape or regional scale means an area of about 100 km2 up to some 1000 km2. Main problems on this scale are high complexity, structural diversity, ecological heterogeneity and uncertainty in data, in understanding of the process dynamic and by uncertainty in models.
Integrating 3d Hydrodynamic Transport And Ecological Plant Models Of The Savannah River Estuary Using Artificial Neural Network Models, Edwin Roehl, Ruby Daamen, Paul A. Conrads, Wiley Kitchens
Integrating 3d Hydrodynamic Transport And Ecological Plant Models Of The Savannah River Estuary Using Artificial Neural Network Models, Edwin Roehl, Ruby Daamen, Paul A. Conrads, Wiley Kitchens
International Congress on Environmental Modelling and Software
The Savannah Harbor is one of the busiest ports on the East Coast of the USA and is located just downstream of the Savannah National Wildlife Refuge (SNWR), which is one of the nation’s largest freshwater tidal marshes. The Lower Savannah River estuary has been studied for years by governmental agencies, water users, universities, and consultants having an interest in controlling water quality and predicting the potential impacts of a proposed harbor deepening. Consequently, many different databases have been created that describe the natural system’s complexity and behaviors. Variables having particular relevance include those describing bathymetry, meteorology, water level, and …
Non-Linear, Multivariate Forecasting Of Hydrologic And Anthropogenic Responses To Meteorological Forcing, Edwin Roehl, Terry Murray
Non-Linear, Multivariate Forecasting Of Hydrologic And Anthropogenic Responses To Meteorological Forcing, Edwin Roehl, Terry Murray
International Congress on Environmental Modelling and Software
Managers and users of natural resources often face two challenging problems. One is forecasting future natural system conditions for optimal resource allocation. Here, the natural system is comprised of the weather and a dependant hydrologic system that contains a water resource. The second problem is forecasting the behavior of a combined natural and man-made system, which also includes anthropogenic resource consumers. Even though detailed meteorological forecasting over weeks and months is impractical, hydrologic behaviors such as groundwater cycling can transpire over months and years. Alternatively, man-made systems exhibit behaviors that both lag and lead causal forcing, e.g., seasonal weather changes. …
Neural Identification Of Fuzzy Anomalies In Pressurized Water Systems, Joaquín Izquierdo, R. Pérez, P. A. López, P. L. Iglesias
Neural Identification Of Fuzzy Anomalies In Pressurized Water Systems, Joaquín Izquierdo, R. Pérez, P. A. López, P. L. Iglesias
International Congress on Environmental Modelling and Software
The objective of a Water Supply System (WSS) is to convey treated water to consumers through a pressurized network of pipes. A number of meters and gauges are used to take continuous or periodic measurements that are sent via a telemetry system to the control and operation centre and used to monitor the network. Using this typically limited number of measures together with demand predictions the state of the system must be assessed. Suitable state estimation is of paramount importance in diagnosing leaks and other anomalies in WSS. But this task can be really cumbersome, if not unattainable, for human …
Non-Linear, Multivariate Forecasting Of Hydrologic And Anthropogenic Responses To Meteorological Forcing, Edwin Roehl, Terry Murray
Non-Linear, Multivariate Forecasting Of Hydrologic And Anthropogenic Responses To Meteorological Forcing, Edwin Roehl, Terry Murray
International Congress on Environmental Modelling and Software
Managers and users of natural resources often face two challenging problems. One is forecasting future natural system conditions for optimal resource allocation. Here, the natural system is comprised of the weather and a dependant hydrologic system that contains a water resource. The second problem is forecasting the behavior of a combined natural and man-made system, which also includes anthropogenic resource consumers. Even though detailed meteorological forecasting over weeks and months is impractical, hydrologic behaviors such as groundwater cycling can transpire over months and years. Alternatively, man-made systems exhibit behaviors that both lag and lead causal forcing, e.g., seasonal weather changes. …
Neural Identification Of Fuzzy Anomalies In Pressurized Water Systems, Joaquín Izquierdo, R. Pérez, P. A. López, P. L. Iglesias
Neural Identification Of Fuzzy Anomalies In Pressurized Water Systems, Joaquín Izquierdo, R. Pérez, P. A. López, P. L. Iglesias
International Congress on Environmental Modelling and Software
The objective of a Water Supply System (WSS) is to convey treated water to consumers through a pressurized network of pipes. A number of meters and gauges are used to take continuous or periodic measurements that are sent via a telemetry system to the control and operation centre and used to monitor the network. Using this typically limited number of measures together with demand predictions the state of the system must be assessed. Suitable state estimation is of paramount importance in diagnosing leaks and other anomalies in WSS. But this task can be really cumbersome, if not unattainable, for human …
Integrating 3d Hydrodynamic Transport And Ecological Plant Models Of The Savannah River Estuary Using Artificial Neural Network Models, Edwin Roehl, Ruby Daamen, Paul A. Conrads, Wiley Kitchens
Integrating 3d Hydrodynamic Transport And Ecological Plant Models Of The Savannah River Estuary Using Artificial Neural Network Models, Edwin Roehl, Ruby Daamen, Paul A. Conrads, Wiley Kitchens
International Congress on Environmental Modelling and Software
The Savannah Harbor is one of the busiest ports on the East Coast of the USA and is located just downstream of the Savannah National Wildlife Refuge (SNWR), which is one of the nation’s largest freshwater tidal marshes. The Lower Savannah River estuary has been studied for years by governmental agencies, water users, universities, and consultants having an interest in controlling water quality and predicting the potential impacts of a proposed harbor deepening. Consequently, many different databases have been created that describe the natural system’s complexity and behaviors. Variables having particular relevance include those describing bathymetry, meteorology, water level, and …
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 …
Numerically Optimized Empirical Modeling Of Highly Dynamic, Spatially Expansive, And Behaviorally Heterogeneous Hydrologic Systems – Part 1, Edwin Roehl, John Risley, Jana Stewart, Matthew Mitro
Numerically Optimized Empirical Modeling Of Highly Dynamic, Spatially Expansive, And Behaviorally Heterogeneous Hydrologic Systems – Part 1, Edwin Roehl, John Risley, Jana Stewart, Matthew Mitro
International Congress on Environmental Modelling and Software
Natural systems exhibit random, chaotic, and multiply periodic behaviors that are driven by gravity, weather, and man-made disturbances. Modeling them on a large scale is challenging because behaviors vary discontinuously both spatially and in time. Modeling requires calibration and validation data that represent a diversity of causes and effects. Measured variables are either categorical (static) or dynamic (time series). Integrating multiple data types and reducing large numbers of variables to a select set often leads to subjective decision-making that has significant ramifications when applying state-of-the-art multi-step modeling approaches, e.g., land-use models driving finite element flow models. This paper is Part …
New Directions And Challenges In Spatial Dynamic Modelling Of Ecosystem Functions In Heterogeneous Landscapes As Basis For A Better Sustainable Landscape Management, Karl-Otto Wenkel, Ralf Wieland, Wilfried Mirschel
New Directions And Challenges In Spatial Dynamic Modelling Of Ecosystem Functions In Heterogeneous Landscapes As Basis For A Better Sustainable Landscape Management, Karl-Otto Wenkel, Ralf Wieland, Wilfried Mirschel
International Congress on Environmental Modelling and Software
The aim of this paper is to discuss scientific challenges and new possibilities for a better modelling of consequences of land use changes in heterogeneous landscapes on ecosystem functions in space and time. The landscape or regional scale means an area of about 100 km2 up to some 1000 km2. Main problems on this scale are high complexity, structural diversity, ecological heterogeneity and uncertainty in data, in understanding of the process dynamic and by uncertainty in models.