[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Volta et al., 2006 - Google Patents

GAMES, a comprehensive gas aerosol modelling evaluation system

Volta 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 …
Continue reading at www.academia.edu (PDF) (other versions)

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)
Hogrefe et al. Evaluating the performance of regional-scale photochemical modeling systems: Part II—Ozone predictions
Ferrero et al. Impact of the electric vehicles on the air pollution from a highway
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
Silibello et al. Modelling of PM10 concentrations over Milano urban area using two aerosol modules
Baker et al. A nonlinear regression model estimating single source concentrations of primary and secondarily formed PM2. 5
Memmesheimer et al. Long-term simulations of particulate matter in Europe on different scales using sequential nesting of a regional model
Singh et al. A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations
Baldasano et al. Air pollution impacts of speed limitation measures in large cities: The need for improving traffic data in a metropolitan area
Wahid et al. Neural network-based meta-modelling approach for estimating spatial distribution of air pollutant levels
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
Monteiro et al. Long-term assessment of particulate matter using CHIMERE model
Li et al. Source contribution analysis of PM2. 5 using response surface model and particulate source apportionment technology over the PRD region, China
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
Tseng et al. Assessing relocation strategies of urban air quality monitoring stations by GA-based compromise programming
Pournazeri et al. A computationally efficient model for estimating background concentrations of NOx, NO2, and O3
Kumar et al. Data assimilation of surface air pollutants (O3 and NO2) in the regional-scale air quality model AURORA
Perez-Roa et al. Air-pollution modelling in an urban area: Correlating turbulent diffusion coefficients by means of an artificial neural network approach
Valari et al. Transferring the heterogeneity of surface emissions to variability in pollutant concentrations over urban areas through a chemistry-transport model