The Experts below are selected from a list of 207 Experts worldwide ranked by ideXlab platform
Nicola Fohrer - One of the best experts on this subject based on the ideXlab platform.
-
process verification of a hydrological model using a Temporal Parameter sensitivity analysis
Hydrology and Earth System Sciences, 2015Co-Authors: Matthias Pfannerstill, Bjorn Guse, Dominik E. Reusser, Nicola FohrerAbstract:To ensure reliable results of hydrological models, it is essential that the models reproduce the hydrological process dynamics adequately. Information about simulated process dynamics is provided by looking at the Temporal sensitivities of the corresponding model Parameters. For this, the Temporal dynamics of Parameter sensitivity are analysed to identify the simulated hydrological processes. Based on these analyses it can be verified if the simulated hydrological processes match the observed processes of the real world. We present a framework that makes use of processes observed in a study catchment to verify simulated hydrological processes. Temporal dynamics of Parameter sensitivity of a hydrological model are interpreted to simulated hydrological processes and compared with observed hydrological processes of the study catchment. The results of the analysis show the appropriate simulation of all relevant hydrological processes in relation to processes observed in the catchment. Thus, we conclude that Temporal dynamics of Parameter sensitivity are helpful for verifying simulated processes of hydrological models.
-
detection of dominant nitrate processes in ecohydrological modeling with Temporal Parameter sensitivity analysis
Ecological Modelling, 2015Co-Authors: Marcelo B Haas, Bjorn Guse, Matthias Pfannerstill, Nicola FohrerAbstract:Abstract River systems are impacted by nutrient inputs from the landscape. The transport of nitrate from agricultural areas into the river systems is related to numerous processes, which occur simultaneously and influence each other permanently. Ecohydrological models aim to represent these complex nitrate processes. For reliable model results, it is essential to better understand the nitrate process dynamics in models. This study aims to improve the understanding of nitrate process dynamics by using a Temporal diagnostic model analysis. As diagnostic tool, a Temporal Parameter sensitivity analysis is applied on an ecohydrological model. With this method, phases of dominant model Parameters are detected. The results show that the sensitivity of different nitrate Parameters varies Temporally. These Temporal dynamics in dominant Parameters can be explained by Temporal variations in nitrate transport and plant uptake processes. A better view on the dynamics of the Temporal Parameter sensitivity is obtained by analyzing different modeled runoff components and nitrate pathways. Thus, a Temporal Parameter sensitivity analysis assists the interpretation of seasonal variations in dominant nitrate pathways.
-
Temporal Parameter sensitivity guided verification of process dynamics
Hydrology and Earth System Sciences Discussions, 2015Co-Authors: Matthias Pfannerstill, Bjorn Guse, Dominik E. Reusser, Nicola FohrerAbstract:Abstract. To ensure reliable results of a hydrological model, it is essential that the model reproduces the hydrological processes adequately. Information about process dynamics is provided by looking at the Temporal sensitivities of the corresponding model Parameters. For this, the Temporal dynamics of Parameter sensitivity are used to describe the dominance of Parameters for each time step. The Parameter dominance is then related to the corresponding hydrological process, since the Temporal Parameter sensitivity represents the modelled hydrological process. For a reliable model application it has to be verified that the modelled hydrological processes match the expectations of real-world hydrological processes. We present a framework, which distinguishes between a verification of single model components and of the overall model behaviour. We analyse the Temporal dynamics of Parameter sensitivity of a modified groundwater component of a hydrological model. The results of the single analysis for the modified component show that the behaviour of the Parameters of the modified groundwater component is consistent with the idea of the structural modifications. Additionally, the appropriate simulation of all relevant hydrological processes is verified as the Temporal dynamics of Parameter sensitivity represent these processes according to the expectations. Thus, we conclude that Temporal dynamics of Parameter sensitivity are helpful for verifying modifications of hydrological models.
Matthias Pfannerstill - One of the best experts on this subject based on the ideXlab platform.
-
process verification of a hydrological model using a Temporal Parameter sensitivity analysis
Hydrology and Earth System Sciences, 2015Co-Authors: Matthias Pfannerstill, Bjorn Guse, Dominik E. Reusser, Nicola FohrerAbstract:To ensure reliable results of hydrological models, it is essential that the models reproduce the hydrological process dynamics adequately. Information about simulated process dynamics is provided by looking at the Temporal sensitivities of the corresponding model Parameters. For this, the Temporal dynamics of Parameter sensitivity are analysed to identify the simulated hydrological processes. Based on these analyses it can be verified if the simulated hydrological processes match the observed processes of the real world. We present a framework that makes use of processes observed in a study catchment to verify simulated hydrological processes. Temporal dynamics of Parameter sensitivity of a hydrological model are interpreted to simulated hydrological processes and compared with observed hydrological processes of the study catchment. The results of the analysis show the appropriate simulation of all relevant hydrological processes in relation to processes observed in the catchment. Thus, we conclude that Temporal dynamics of Parameter sensitivity are helpful for verifying simulated processes of hydrological models.
-
detection of dominant nitrate processes in ecohydrological modeling with Temporal Parameter sensitivity analysis
Ecological Modelling, 2015Co-Authors: Marcelo B Haas, Bjorn Guse, Matthias Pfannerstill, Nicola FohrerAbstract:Abstract River systems are impacted by nutrient inputs from the landscape. The transport of nitrate from agricultural areas into the river systems is related to numerous processes, which occur simultaneously and influence each other permanently. Ecohydrological models aim to represent these complex nitrate processes. For reliable model results, it is essential to better understand the nitrate process dynamics in models. This study aims to improve the understanding of nitrate process dynamics by using a Temporal diagnostic model analysis. As diagnostic tool, a Temporal Parameter sensitivity analysis is applied on an ecohydrological model. With this method, phases of dominant model Parameters are detected. The results show that the sensitivity of different nitrate Parameters varies Temporally. These Temporal dynamics in dominant Parameters can be explained by Temporal variations in nitrate transport and plant uptake processes. A better view on the dynamics of the Temporal Parameter sensitivity is obtained by analyzing different modeled runoff components and nitrate pathways. Thus, a Temporal Parameter sensitivity analysis assists the interpretation of seasonal variations in dominant nitrate pathways.
-
Temporal Parameter sensitivity guided verification of process dynamics
Hydrology and Earth System Sciences Discussions, 2015Co-Authors: Matthias Pfannerstill, Bjorn Guse, Dominik E. Reusser, Nicola FohrerAbstract:Abstract. To ensure reliable results of a hydrological model, it is essential that the model reproduces the hydrological processes adequately. Information about process dynamics is provided by looking at the Temporal sensitivities of the corresponding model Parameters. For this, the Temporal dynamics of Parameter sensitivity are used to describe the dominance of Parameters for each time step. The Parameter dominance is then related to the corresponding hydrological process, since the Temporal Parameter sensitivity represents the modelled hydrological process. For a reliable model application it has to be verified that the modelled hydrological processes match the expectations of real-world hydrological processes. We present a framework, which distinguishes between a verification of single model components and of the overall model behaviour. We analyse the Temporal dynamics of Parameter sensitivity of a modified groundwater component of a hydrological model. The results of the single analysis for the modified component show that the behaviour of the Parameters of the modified groundwater component is consistent with the idea of the structural modifications. Additionally, the appropriate simulation of all relevant hydrological processes is verified as the Temporal dynamics of Parameter sensitivity represent these processes according to the expectations. Thus, we conclude that Temporal dynamics of Parameter sensitivity are helpful for verifying modifications of hydrological models.
Bjorn Guse - One of the best experts on this subject based on the ideXlab platform.
-
process verification of a hydrological model using a Temporal Parameter sensitivity analysis
Hydrology and Earth System Sciences, 2015Co-Authors: Matthias Pfannerstill, Bjorn Guse, Dominik E. Reusser, Nicola FohrerAbstract:To ensure reliable results of hydrological models, it is essential that the models reproduce the hydrological process dynamics adequately. Information about simulated process dynamics is provided by looking at the Temporal sensitivities of the corresponding model Parameters. For this, the Temporal dynamics of Parameter sensitivity are analysed to identify the simulated hydrological processes. Based on these analyses it can be verified if the simulated hydrological processes match the observed processes of the real world. We present a framework that makes use of processes observed in a study catchment to verify simulated hydrological processes. Temporal dynamics of Parameter sensitivity of a hydrological model are interpreted to simulated hydrological processes and compared with observed hydrological processes of the study catchment. The results of the analysis show the appropriate simulation of all relevant hydrological processes in relation to processes observed in the catchment. Thus, we conclude that Temporal dynamics of Parameter sensitivity are helpful for verifying simulated processes of hydrological models.
-
detection of dominant nitrate processes in ecohydrological modeling with Temporal Parameter sensitivity analysis
Ecological Modelling, 2015Co-Authors: Marcelo B Haas, Bjorn Guse, Matthias Pfannerstill, Nicola FohrerAbstract:Abstract River systems are impacted by nutrient inputs from the landscape. The transport of nitrate from agricultural areas into the river systems is related to numerous processes, which occur simultaneously and influence each other permanently. Ecohydrological models aim to represent these complex nitrate processes. For reliable model results, it is essential to better understand the nitrate process dynamics in models. This study aims to improve the understanding of nitrate process dynamics by using a Temporal diagnostic model analysis. As diagnostic tool, a Temporal Parameter sensitivity analysis is applied on an ecohydrological model. With this method, phases of dominant model Parameters are detected. The results show that the sensitivity of different nitrate Parameters varies Temporally. These Temporal dynamics in dominant Parameters can be explained by Temporal variations in nitrate transport and plant uptake processes. A better view on the dynamics of the Temporal Parameter sensitivity is obtained by analyzing different modeled runoff components and nitrate pathways. Thus, a Temporal Parameter sensitivity analysis assists the interpretation of seasonal variations in dominant nitrate pathways.
-
Temporal Parameter sensitivity guided verification of process dynamics
Hydrology and Earth System Sciences Discussions, 2015Co-Authors: Matthias Pfannerstill, Bjorn Guse, Dominik E. Reusser, Nicola FohrerAbstract:Abstract. To ensure reliable results of a hydrological model, it is essential that the model reproduces the hydrological processes adequately. Information about process dynamics is provided by looking at the Temporal sensitivities of the corresponding model Parameters. For this, the Temporal dynamics of Parameter sensitivity are used to describe the dominance of Parameters for each time step. The Parameter dominance is then related to the corresponding hydrological process, since the Temporal Parameter sensitivity represents the modelled hydrological process. For a reliable model application it has to be verified that the modelled hydrological processes match the expectations of real-world hydrological processes. We present a framework, which distinguishes between a verification of single model components and of the overall model behaviour. We analyse the Temporal dynamics of Parameter sensitivity of a modified groundwater component of a hydrological model. The results of the single analysis for the modified component show that the behaviour of the Parameters of the modified groundwater component is consistent with the idea of the structural modifications. Additionally, the appropriate simulation of all relevant hydrological processes is verified as the Temporal dynamics of Parameter sensitivity represent these processes according to the expectations. Thus, we conclude that Temporal dynamics of Parameter sensitivity are helpful for verifying modifications of hydrological models.
Marcelo B Haas - One of the best experts on this subject based on the ideXlab platform.
-
detection of dominant nitrate processes in ecohydrological modeling with Temporal Parameter sensitivity analysis
Ecological Modelling, 2015Co-Authors: Marcelo B Haas, Bjorn Guse, Matthias Pfannerstill, Nicola FohrerAbstract:Abstract River systems are impacted by nutrient inputs from the landscape. The transport of nitrate from agricultural areas into the river systems is related to numerous processes, which occur simultaneously and influence each other permanently. Ecohydrological models aim to represent these complex nitrate processes. For reliable model results, it is essential to better understand the nitrate process dynamics in models. This study aims to improve the understanding of nitrate process dynamics by using a Temporal diagnostic model analysis. As diagnostic tool, a Temporal Parameter sensitivity analysis is applied on an ecohydrological model. With this method, phases of dominant model Parameters are detected. The results show that the sensitivity of different nitrate Parameters varies Temporally. These Temporal dynamics in dominant Parameters can be explained by Temporal variations in nitrate transport and plant uptake processes. A better view on the dynamics of the Temporal Parameter sensitivity is obtained by analyzing different modeled runoff components and nitrate pathways. Thus, a Temporal Parameter sensitivity analysis assists the interpretation of seasonal variations in dominant nitrate pathways.
Piotr Komur - One of the best experts on this subject based on the ideXlab platform.
-
Diagnosis of Muscle Condition on the Basis of MUP Spectral Analysis
2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, 2007Co-Authors: Andrzej Dobrowolski, Piotr Komur, Kazimierz TomczykiewiczAbstract:Electromyography (EMG) is a functional examination that plays a fundamental role in the diagnosis of neuromuscular disorders. The method allows for distinction between records of a healthy muscle and a changed muscle as well as for determination of whether pathological changes are of primary myopathic or neuropathic character. The statistical processing of electromyographic signal examination performed in the time domain ensures mostly correct classification of pathology; however, because of an ambiguity of most Temporal Parameter definitions, a diagnosis can include a significant error that strongly depends on the neurologist's experience. Then, selected Temporal Parameters are determined for each run, and their mean values are calculated. In the final stage, these mean values are compared with a standard and, including additional clinical information, a diagnosis is given. An inconvenience of this procedure is high time consumption that arises from, among other things, the necessity of determination of many Parameters. Additionally, an ambiguity in determination of basic Temporal Parameters can cause doubts when Parameters found by the physician are compared with standard Parameters determined in other research centers. In this paper, we present a definition for single-point spectral discriminant that directly enables a unique diagnosis to be made. An essential advantage of the suggested discriminant is a precise and algorithmically realized definition that enables an objective comparison of examination results obtained by physicians with different experiences or working in different research centers. Therefore, the definition fulfills a fundamental criterion for the Parameter used for preparation of a standard. A suggestion of the standard for selected muscle based on a population of 70 healthy cases is presented in the Results section.
-
Spectral Analysis of Motor Unit Action Potentials
IEEE Transactions on Biomedical Engineering, 2007Co-Authors: Andrzej Dobrowolski, Kazimierz Tomczykiewicz, Piotr KomurAbstract:The statistical processing of electromyographic signal examination performed in the time domain ensures mostly correct classification of pathology; however, because of an ambiguity of most Temporal Parameter definitions, a diagnosis can include a significant error that strongly depends on the neurologist's experience. Then, selected Temporal Parameters are determined for each run, and their mean values are calculated. In the final stage, these mean values are compared with a standard and, including additional clinical information, a diagnosis is given. An inconvenience of this procedure is high time consumption that arises from the necessity of determination of many Parameters. Additionally, an ambiguity in determination of basic Temporal Parameters can cause doubts when Parameters found by the physician are compared with standard Parameters determined in other research centers. In this paper, we present a definition for spectral discriminant that directly enables a unique diagnosis to be made. An essential advantage of the suggested discriminant is a precise and algorithmically realized definition that enables an objective comparison of examination results obtained by physicians with different experiences or working in different research centers. A suggestion of the standard for selected muscle based on a population of 70 healthy cases is presented in the Results section.
