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Spatial Estimations Of Air Pollution In Urban Areas By Lidar Measurements, L. Matejicek
Spatial Estimations Of Air Pollution In Urban Areas By Lidar Measurements, L. Matejicek
International Congress on Environmental Modelling and Software
Spatial analysis and visualization of data focused on air pollution in urban areas can be more efficiently explored by geographic information systems (GISs). Data originating from direct monitoring, mathematical modelling and physical simulation in wind tunnels are represented by a wide range of data formats that, together with spatial objects on the surface of studied areas, form heterogenic structures. Thus, to solve spatio-temporal analysis and numeric models, a complex computer system is needed to manage the data and a number of user oriented procedures. In the case of this contribution, a GIS project is developed to examine the GIS abilities …
Spatial Estimations Of Air Pollution In Street Canyons By Lidar Measurements, L. Matejicek, Jana Konradova
Spatial Estimations Of Air Pollution In Street Canyons By Lidar Measurements, L. Matejicek, Jana Konradova
International Congress on Environmental Modelling and Software
Air pollution of urban areas can be explored by direct monitoring, mathematical modeling and physical simulation in the wind tunnels. Complex analysis requires using of all mentioned approaches together. To integrate the data inputs and outputs, which include spatio-temporal interactions, the Geographic Information System (GIS) is used for database management and spatial analysis. The geodatabase is primarily developed to support spatial interpolations of LIDAR measurements in the street canyons. The LIDAR measurements provide the information about the distribution of pollutants in the points along the beam trajectories. As the examples, the sets of NO2 spatial measurements are performed in the …
Supporting Environmental And Energy Decisions Through An Open Software Structure, Giorgio Guariso, Matteo Baracani
Supporting Environmental And Energy Decisions Through An Open Software Structure, Giorgio Guariso, Matteo Baracani
International Congress on Environmental Modelling and Software
Public participation to environmental planning and management decisions, as suggested by localAgenda 21 processes, can be supported by software tools developed with a cyclic interaction with all thestakeholders and simple enough to be quickly operated by a large set of heterogeneous users. This also helpspreventing their rapid aging and their excessive dependence on changing technologies. We experimented thedevelopment of such software tools using an Office type environment to store data, analyse, andgeographically represent the effects of alternative decisions and html files to help utilizing the software anddistributing the information over the Internet. Two different applications are reported in the paper. …
Current Trends In Environmental Modelling With Uncertainty., Jiří Hřebíček, Jan Pesl
Current Trends In Environmental Modelling With Uncertainty., Jiří Hřebíček, Jan Pesl
International Congress on Environmental Modelling and Software
The important characteristic feature of environmental modelling is the complexity and uncertainty of its mathematical representation (uncertainty of formula). Imprecision of its input data is another characteristic feature, where it is not possible to omit influences of primary monitoring (e.g. gaps of data, errors of measuring facilities, human factor, etc). Many parameters in algorithms and their mathematical formulations are substituted by empirical constants in praxis, although it is well known that their values are very volatile and input data are not validated. Nowadays, information and communication technology (ICT) capabilities are growing rapidly and applied mathematical software (e.g. computer algebra systems, …
Spatial Estimations Of Air Pollution In Urban Areas By Lidar Measurements, L. Matejicek
Spatial Estimations Of Air Pollution In Urban Areas By Lidar Measurements, L. Matejicek
International Congress on Environmental Modelling and Software
Spatial analysis and visualization of data focused on air pollution in urban areas can be more efficiently explored by geographic information systems (GISs). Data originating from direct monitoring, mathematical modelling and physical simulation in wind tunnels are represented by a wide range of data formats that, together with spatial objects on the surface of studied areas, form heterogenic structures. Thus, to solve spatio-temporal analysis and numeric models, a complex computer system is needed to manage the data and a number of user oriented procedures. In the case of this contribution, a GIS project is developed to examine the GIS abilities …
Spatial Estimations Of Air Pollution In Street Canyons By Lidar Measurements, L. Matejicek, Jana Konradova
Spatial Estimations Of Air Pollution In Street Canyons By Lidar Measurements, L. Matejicek, Jana Konradova
International Congress on Environmental Modelling and Software
Air pollution of urban areas can be explored by direct monitoring, mathematical modeling and physical simulation in the wind tunnels. Complex analysis requires using of all mentioned approaches together. To integrate the data inputs and outputs, which include spatio-temporal interactions, the Geographic Information System (GIS) is used for database management and spatial analysis. The geodatabase is primarily developed to support spatial interpolations of LIDAR measurements in the street canyons. The LIDAR measurements provide the information about the distribution of pollutants in the points along the beam trajectories. As the examples, the sets of NO2 spatial measurements are performed in the …
Supporting Environmental And Energy Decisions Through An Open Software Structure, Giorgio Guariso, Matteo Baracani
Supporting Environmental And Energy Decisions Through An Open Software Structure, Giorgio Guariso, Matteo Baracani
International Congress on Environmental Modelling and Software
Public participation to environmental planning and management decisions, as suggested by localAgenda 21 processes, can be supported by software tools developed with a cyclic interaction with all thestakeholders and simple enough to be quickly operated by a large set of heterogeneous users. This also helpspreventing their rapid aging and their excessive dependence on changing technologies. We experimented thedevelopment of such software tools using an Office type environment to store data, analyse, andgeographically represent the effects of alternative decisions and html files to help utilizing the software anddistributing the information over the Internet. Two different applications are reported in the paper. …
Current Trends In Environmental Modelling With Uncertainty., Jiří Hřebíček, Jan Pesl
Current Trends In Environmental Modelling With Uncertainty., Jiří Hřebíček, Jan Pesl
International Congress on Environmental Modelling and Software
The important characteristic feature of environmental modelling is the complexity and uncertainty of its mathematical representation (uncertainty of formula). Imprecision of its input data is another characteristic feature, where it is not possible to omit influences of primary monitoring (e.g. gaps of data, errors of measuring facilities, human factor, etc). Many parameters in algorithms and their mathematical formulations are substituted by empirical constants in praxis, although it is well known that their values are very volatile and input data are not validated. Nowadays, information and communication technology (ICT) capabilities are growing rapidly and applied mathematical software (e.g. computer algebra systems, …
Bayesian And Positive Matrix Factorization Approaches To Pollution Source Apportionment, Jeff William Lingwall
Bayesian And Positive Matrix Factorization Approaches To Pollution Source Apportionment, Jeff William Lingwall
Theses and Dissertations
The use of Positive Matrix Factorization (PMF) in pollution source apportionment (PSA) is examined and illustrated. A study of its settings is conducted in order to optimize them in the context of PSA. The use of a priori information in PMF is examined, in the form of target factor profiles and pulling profile elements to zero. A Bayesian model using lognormal prior distributions for source profiles and source contributions is fit and examined.