Volta et al., 2006 - Google Patents
GAMES, a comprehensive gas aerosol modelling evaluation systemVolta et al., 2006
View PDF- Document ID
- 1643740540361786343
- Author
- Volta M
- Finzi G
- Publication year
- Publication venue
- Environmental Modelling & Software
External Links
Snippet
In this work the modelling system GAMES is described. It consists of the transport and chemical models CALGRID and TCAM, the meteorological model CALMET, the emission evaluation model POEMPM, the boundary and initial condition module (BICM) and the …
- 239000000443 aerosol 0 title abstract description 27
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5036—Computer-aided design using simulation for analog modelling, e.g. for circuits, spice programme, direct methods, relaxation methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
- G06Q30/0204—Market segmentation
- G06Q30/0205—Location or geographical consideration
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Volta et al. | GAMES, a comprehensive gas aerosol modelling evaluation system | |
Suleiman et al. | Applying machine learning methods in managing urban concentrations of traffic-related particulate matter (PM10 and PM2. 5) | |
Ferrero et al. | Impact of the electric vehicles on the air pollution from a highway | |
Hogrefe et al. | Evaluating the performance of regional-scale photochemical modeling systems: Part II—Ozone predictions | |
Gilliland et al. | Dynamic evaluation of regional air quality models: Assessing changes in O3 stemming from changes in emissions and meteorology | |
Cuvelier et al. | CityDelta: A model intercomparison study to explore the impact of emission reductions in European cities in 2010 | |
Singh et al. | A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations | |
Memmesheimer et al. | Long-term simulations of particulate matter in Europe on different scales using sequential nesting of a regional model | |
Baker et al. | A nonlinear regression model estimating single source concentrations of primary and secondarily formed PM2. 5 | |
Misra et al. | An integrated modelling approach to estimate urban traffic emissions | |
Moussiopoulos et al. | Air quality status in Greater Thessaloniki Area and the emission reductions needed for attaining the EU air quality legislation | |
Baldasano et al. | Air pollution impacts of speed limitation measures in large cities: The need for improving traffic data in a metropolitan area | |
Seigneur et al. | On the treatment of point source emissions in urban air quality modeling | |
Baker et al. | Photochemical model performance for PM2. 5 sulfate, nitrate, ammonium, and precursor species SO2, HNO3, and NH3 at background monitor locations in the central and eastern United States | |
Deng et al. | The MR-CA models for analysis of pollution sources and prediction of PM 2.5 | |
Huang et al. | Source area identification with observation from limited monitor sites for air pollution episodes in industrial parks | |
Carnevale et al. | POEM-PM: an emission model for secondary pollution control scenarios | |
Gabusi et al. | Seasonal modelling assessment of ozone sensitivity to precursors in northern Italy | |
Pournazeri et al. | A computationally efficient model for estimating background concentrations of NOx, NO2, and O3 | |
Tseng et al. | Assessing relocation strategies of urban air quality monitoring stations by GA-based compromise programming | |
Beckx et al. | The contribution of activity-based transport models to air quality modelling: a validation of the ALBATROSS–AURORA model chain | |
Perez-Roa et al. | Air-pollution modelling in an urban area: Correlating turbulent diffusion coefficients by means of an artificial neural network approach | |
Borrego et al. | Reducing NO 2 pollution over urban areas: Air quality modelling as a fundamental management tool | |
Kumar et al. | Data assimilation of surface air pollutants (O3 and NO2) in the regional-scale air quality model AURORA | |
Chang et al. | Optimal design of a multi-pollutant air quality monitoring network in a metropolitan region using Kaohsiung, Taiwan as an example |