Software and systems

SOFTWARE& SYSTEMSCATALOGUE2014AR

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Founded by a group of researchersfrom the French electricity board EDF,ARIA Technologies has played a

pioneering role in the global development ofatmospheric modelling. The original group has grown into a team of25 engineers drawn from various fields ofatmospheric sciences, who have placed thisknowledge-based SME at the cutting edge.ARIA Technologies head office is located inBoulogne-Billancourt, near Paris; off-site staffare posted in Brest, Grenoble, and Toulouse.Its Italian subsidiaries ARIANET (founded inMilan in 2000) and SIMULARIA (Turin, 2010)together employ 20 engineers specialized inatmospheric sciences. In 2010, ARIAestablished its subsidiary in Rio de Janeiro,Brazil, with a team of 3 specialist engineers.ARIA Technologies collaborates with keyFrench organizations involved in monitoringair quality regional air quality managementbodies, CEA (atomic energy), INERIS(environmental safety), METEO-FRANCE(weather) and with a large number of well-known international partners.

A single concern: the atmospheric environment

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ARIA Technologies software and systemsare designed to address issues related toair pollutionindustrial, urban, hazardous,and chronic. They are also suited forspecific uses in applied meteorology. ARIA Impact and ARIA Impact

3D: software for studies on the impactof industries and vehicular traffic on airquality

ARIA City: GIS-embedded softwarefor modelling air quality in cities

ARIA Risk: 3D software for assessingair dispersion of accidental releases

ARIA Local: software for calculatingair flow and dispersion at micro-scale

ARIA Wind: software for mapping,calculation, and optimization for windfarm sites

ARIA View: system for continuoussurveillance of air quality at industrialsites

ARIA Regional: system for air qualityanalysis and forecasting at urban andregional levels

A comprehensive range of software and systems

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ARIA Impact is a user-friendly software customized tomeet the requirements of consultancy firms, enterprises,local authorities, and air quality monitoring associations. Itensures compliance with air quality regulations and is usedfor complete assessments of, for example, health risks,olfactory pollution from an industrial site, the impact on airquality and health of a road project. With ARIA Impact,users can simulate the long-term dispersion of airpollutants (gaseous or particulate) released from any typeof emission source. They can calculate concentrations anddeposition (dry and wet) expressed as an annual averageor as percentiles. ARIA Impact now incorporates both theAIM Gaussian model (already available in the previousversions) and the AERMOD model from US-EPA (integratedthrough a partnership with CAIRN Dveloppement).

ImpactImpactSoftware for studies on the impact of industries and vehicular traffic on air quality

Key features Easy import of meteorological,

terrain, and emission data(constant, cyclic, occasional) fromExcel files

Statistical processing ofmeteorological data (time series,wind roses)

Simultaneous processing ofdifferent types of pollutants:gases, particles, odours,radioactive matter, as well as

odour mixes (in odorimetric units) Unlimited number of point, area,

volume, and line sources Conversion of NOx to NO/NO2 for

vehicular traffic Consideration of constant or

fluctuating background pollution Extensive range of outputs:

concentration and deposition maps(annual average, percentiles, dailyand hourly maximum, exceedancefrequency)

Selected references:ABH Environnement;AENA; AFIRM; AirBreizh; ANDRA;Arkema; ASEZA; AXE;BDS Forage; BetureEnvironnement; BureauVeritas Aix-en-Provence/Lille/Lyon/Nantes/Paris/Reims;BURGAP; CabinetGreuzat; CabinetMerlin; CEA DAM;CETIM ; CTP; EDS;Entime; EOG; Evolutys;GDF; GEOSAN; GES;GINGER EnvironnementAgen/Montpellier;INGROPBesanon/Courbevoie/Marseille/Rennes/Toulouse/; IngevalorisConseil; IRSN; ISPE;ISSEP; JMB; KALIS;Ministries ofEnvironment of Maltaand Morocco;Nodyme; Novallia(Belgium); Olentica;Ouest Performance;ORAMIP; OTEIngnierie Illkirch/Metz;PITESTI; RATP; SAIPEM(Italy); Sanofi Aventis;SETIS Environnement ;Socotec St Quentin-en-Yvelines/IndustriesSPPPI (DRIRE NordPas-de-Calais);THERIUS Conseil; Total Petrochemicals;University of Paris VII& XIIDESS QCBA


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Results for specific points(schools, hospitals, sensors,etc.) at ground level or at agiven altitude

The AIM model developed byARIA Technologies is based onstability classes and can accountfor calm winds; pollutantdispersion can be modelled froma simple wind rose or a 1- or 3-hourly meteorological database

The US-EPA AERMOD model,often described as a second

generation model, is based on the computation ofturbulence; pollutant dispersion can be modelledfrom a 1-hourly meteorological database. Itaccounts for the effect of buildings located near theemission sources

Visualization of concentrations at any point by usingthe cursor

Export of results to Google Earth and to GIS-enabledMapinfo and ArcGIS

Validated against measured or computed data;validation report available

Software, detailed technical documentation, andtutorial in English and French

Project managementAll project components are automatically stored incorresponding folders: geographical context, terrain,mapping objects, land cover data, station coordinates,meteorological data, and emissions. Variants arecreated by loading a previous project.

Maps: import from/export to GISGeographical data can be imported directly from majorGIS (Mapinfo, ArcInfo/ArcView), in DXF or shapefileformats. The dispersion calculations actually useterrain and land cover data.

Emissions managementFor each source, time variation profiles (monthly,weekly, hourly) help define a realistic emissionscenario that provides an accurate assessment of thelong-term impact. The model can also account fortechnical breaks in industrial emissions. Existingemission data can be easily imported from Excelsheets into ARIA Impact.


6ARIA Impact3D3DARIA Impact3Dsoftware is designedto assess the chronicimpact of industrialplants on air qualitythrough thesimulation of actualor virtual emissionscenarios.It simulates in 3D the

air dispersion of pollutants (gaseous or particulate) fromstacks and outlets, and fugitive sources based on a detailedaccount of terrain, building effects, and meteorological datameasured or forecast simultaneously at multiple heights.ARIA Impact3D is intended for enterprises, consulting firms,and local authorities of industrial zones that need a detailedassessment of chronic risks. It integrates a 3D Lagrangiandispersion module.

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Objectives Model air pollution around

industrial sites Conduct studies (diagnostics,

preparation, surveillance) for airquality improvement campaigns

Plan and develop pollutionmonitoring strategies

Model and map air pollutantemissions in a city district, city,or region

Simulate air dispersion of allpollutants measured by airquality monitoring networks inthe study area

Determine the contribution ofeach emission source

Analyse existing regulationstrategies

Simulate the meteorologicalconditions in 3D environment tostudy past episodes or forecastfuture episodes

Key features Fully compatible with ARIA

Impact (provided): allows tostudy significant episodes with2D and 3D emission scenarios.

Provided with MSS (Micro SWIFTSPRAY), the state-of-the-artlagrangian particle dispersionmodel developped by ARIATechnologies and its partnersARIANET and Mokili.

Includes CALPUFF, a lagrangianpuff dispersion model which usesCALMET meteorological fields orstation data; CALMET andCALPUFF are US-EPA approved*.

Simulation time period rangingfrom one hour to several years

Can be inserted as an engine inthe ARIA View system forproducing a detailed real-timemap of the impact of anindustrial site.

3D software for studies on the impact of industries and vehicular traffic on air quality

* CALMET-CALPUFFhas been integratedinto ARIA Impact3Dthrough a partnershipwith CAIRNDveloppement

Selected references:BV Lyon,Air Rhne-Alpes,Olentica


CityCityGIS-embedded software for modelling air quality in cities

Environmentauthorities of citiesencounterparticularly complexair dispersionproblems arisingfrom the diversity ofthe urban landscapeand vehicularemissions. Theyneed a 3D digitalrepresentation of theurban ecosystem(roads, terrain, 3Dimages of buildings)to visualize the

confinement effects of different obstacles. Urban data aregenerally stored by city authorities in geographicinformation systems (GIS), the most common beingESRIs ArcGis Desktop. A direct and simplified link makes ARIA City fullycompatible with the data storage standards and graphictools of ArcGIS 9 and ArcGIS 10.Objectives Studies for city development,

planning of high-traffic roads(new or modified), location oftunnel exits and ventilationsystem openings (car parks,metro), traffic reductionstrategies

Key features Single input and selection of: site-related geographical site

data: terrain, land cover,buildings, location of themeteorological stations

project basics: study domain,development or interventionoption, traffic flow (light vehicles,

light utility vehicles, twowheelers, heavy vehicles), otheremission sources (industrial,household)

calculation of emissions based onvehicle flow and fleet data, usingthe TREFIC model

computation: Gaussian model(ARIA Impact Model AIM),Lagrangian particle model (MicroSWIFT SPRAY MSS), completeCFD model (Code_SATURNE).

expected results and maps:annual mean, regulatorypercentile, simulation of adaytime period, scenariocomparisons, worst case studies(2F meteorological situation). 7

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Selected references:Ville de Paris, Lille Mtropole, Ineris


8ARIA Risk is a 3Dsoftware for assessing risksarising from the dispersionof toxic industrial gases(storage accident, pipefailure, fire). It can beincorporated in an alertsystem, outputs maps ofinstantaneous or integratedconcentration anddeposition and enables thedetermination of safetylimits, zones of thresholdexposure and IDLH.ARIA Risk is built withmodules using 3Dcalculation of meteorologyand dispersion (puff orparticle model) and takesinto account arbitrarilycomplex topography, theeffect of buildings on theflow, and very low winds.

3D software for assessing dispersion of accidental releases

Selectedreferences:APSYS; AXE; CAEPE;CEADAM; CNES;DGACEB; EOG;GSN; INERIS; KNMI(The Netherlands);Mto-France; MGPI;Thales; Total;Tunisian chemicalgroup

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Objectives Evaluate source term (accident) Locate risk zones based on 3D

fields (terrain, meteorologicalstations).

Key features Use of real-time meteorological

data for multiple sources Modules with relatively short

calculation time depending on theproblem

Simple, academic, or verycomplex meteorological situations

considered, depending on themodules used

Accounts for calm winds Accounts for wind shear effects Accounts for terrain and surface

roughness Accounts for obstacles (based on

the model used) Considers variable emissions 4D calculation with a 4D grid and

time scale Multi species emissions Leakage model Calculation of depositions.


9Optionsandvariants ARIA Risk

CBRN forchemical,biological,radiological,and nuclearaccidents or threats.

Rescube3D,a productoffered jointlyby Leosphereand ARIATechnologiesfor real-timemonitoring ofdispersion ofhazardousplumes

Input dataSpatial scale: Domains ranging from 500 m x 500 mto 50 km x 50 km, with a representation of the terrainMeteorological data: Meteorological data at one orseveral sites, from a specific height or wind profiles(measurement towers)Emission data: Description of emission species and their

thermodynamic characteristics (product database) Creation and use of complete scenarios of flow rates

at a vessel leak (ATRCOD) Rapidly changing point emissions of hazardous

products.

ModellingMeteorological model: SWIFT meteorologicalassimilation model accounts in detail for topography(terrain, surface roughness)Dispersion model: TRAMES Lagrangian puff modelthat considers dense gases or SPRAY Lagrangianparticle model.

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Software for calculating air flow and dispersionat micro scale

LocalLocal

Key features Complete CFD applied to

atmospheric physics (tested,validated, conforming to QualityAssurance norms). It isparticularly suitable forprocessing small-scaleatmospheric releases; it also hasseveral types of turbulenceclosures.

Several pre and post processors Cartesian or terrain-following

coordinates on structured orunstructured grids

Stationary and transientcalculations at small scale (froma few metres to a fewkilometres) that integrate terrainand buildings on the site

Microphysical parametrization ofwater based on the Kesslerscheme (condensation, re-evaporation, autoconversion,collection)

Designed for a wide range ofstudies such as an analysis of theimpact on air quality of newstructures or new urban projects(e.g., ring roads, stadiums,streets), studies for the defencesector (missile launches,delimitation of protected areas),indoor air studies (ventilation inbuildings).

ARIA Local is designed to model airpollution problems down to a very smallscale in urban and industrial environments(continuous or accidental releases);it accounts in detail for obstacles (buildings,slopes). ARIA Local can also be used formicro-meteorological applications such as

wind power plants,construction works orindoor air qualityassessments.

SelectedreferencesAirparif; Areva; SGN Areva; CEACadarache; CEREA(ENPC); City of Paris;CNES CSG; CNRS(AeronomyLaboratory, Jussieu);DGACEB; EcoleCentrale de Lyon(Fluid MechanicsLaboratory), ENEA(Italy); GDF;GIVAUDAN(Switzerland); IRSN(Fontenay); Italeco(Italy); JANUS; LMD; QueenslandUniversity ofTechnologyILAQH(Australia); RATP;SAIC; SGN(COGEMA); Total

Objectives Flow mode precisely for different

applications such as the study ofwind effects on structures,micrositing for evaluating windpower potential (outdoor),profiling of airflows in closedspaces (indoor)

Simulate most physicalatmospheric phenomena thatoccur at the local scale, takinginto account, for example, theatmospheric boundary layer,specific turbulence model, watermicrophysics

Calculate the dispersion of heavyor light gas pollutants fordifferent types of sources(instantaneous or continuous;point, area, or volume) ofdifferent origins (vehicular traffic,industrial, accident).


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ARIA Wind is atool for planningwind farms based onan evaluation of theavailable energyresource. It is usedfor assessing windpotential, optimizingthe wind farmdesign, and

determining the variability of energy generation. ARIAWind, which is linked to meteorological forecasts in realtime, provides reliable estimates of turbine output. ARIA Wind is a 3D model that reconstitutes wind fieldsaccording to the situation at the wind farm; it cansimultaneously integrate different types of meteorologicaldata and account for complex terrain.

Software for calculating and optimising wind potential

Selected referencesADEME; DesarollosEolicos (Spain); EDF;IMGW; JANUS;University of Moncton(Canada)

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Objectives Regional scale:

Map wind potential and specifythe best sites for wind energyproduction

Local scale: Determine the optimumconfiguration of the turbinesand their location. Accurately calculate the outputper turbine (kWh/year).

Key features Accurate 3D wind fields over

complex terrain. Arbitrary number and type of

input meteorological data(several surface stations or none,wind profiles).

Reliable results (severalvalidations)

Linked to ARIA Local formicrositing applications.

Input dataSpatial scale: Wind turbine scale: < 1 km (ARIA Local) Wind farm scale: 10 km x 10 km Regional scale: 100 km x 100 kmMeteorological data: All data measured at ground orelevated level, output of large-scale models (ECMWF,ARPEGE, NMC)Site data: Digital terrain model, land cover, obstacles.

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ARIA View is anoperational system for airquality management.It provides users with acomplete and precisepicture of the impact ofindustrial activity on airquality around the site,which they can monitorcontinuously. ARIA Viewcan generate the reportsrequired by the authoritiesand present an accurateimage of industrial activity to stakeholders(civil society and localcommittees). It is the besttool for a responsiblecorporate citizen.ARIA View tracksconventional pollutants(SO2, NOx, PM, CO2,dioxin) as well as odours,Legionella, hot air plumes.

Air quality surveillance system for industrial sitesSelected referencesEGZIA ; ISDNVilleneuve Loubet ;OMIFCO ; Rompetrol ;SITA Dectra ; SITAEnvironnement ;Taizhou EPA ;Volia; Degrmont ;Syded 87 ; BSC

ViewView

Key features Automatic: functions

autonomously Continuous operation in real

time: speedy calculations,typically 30 minutes of real timecan be simulated in less than5 minutes

Flexible and powerful: MicroSWIFT SPRAY (MSS), the internalcalculation engine of the system,is a 3D Lagrangian model thataccounts for obstacles.

Multi-function: automaticmonitoring, simulation of pastevents, forecasting, consolidation(average concentration,deposition, or centiles over aperiod)

Reliable: designed to function24 x 7, remote maintenanceand telephone assistance

Connected: real-timevisualization of the plume, imageexport for reports or internet,export of virtual sensor data,automatic generation of easilyconfigurable environmentreports.

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Routine monitoringModelling the atmospheric impact of an industrial plant

using: measured emission data (link with emission data

acquisition system) or most recent available data(nominal values or values deduced from the mostrecent regulatory measurements)

real-time meteorological data, either measured onsite or forecast by a predictive model

a continuous dispersion model configured for the siteand using an accurate description of the terrain, withan option to include buildings

background pollution.

Optionsandvariants Forecast

option topredict futureair quality atthe siteaccording tometeorological conditionsand emissions

Indoor airoption tomonitor insidethe premisesfor health andsafety, and forapplications inwhich air is acriticalresource(e.g.,cosmetics,biotechnology,electronics)

ARIA ViewServer forremotemonitoring ofan industrialor active site.

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Output Tables of maximum

concentrations in the area and atany receptor point (montitoringstations and critical points)

Concentration and depositionmaps

Automatic calculation of selectedstatistical values (e.g., monthlyor annual averages, or centiles)

A posteriori simulation of specificevents

Data storage Automatic integration of the

results on intranet or extranetsites.


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ARIA Regional is a complete system foranalysing and forecasting air pollution atregional and urban scales from gaseousand particulate pollutants (primary andsecondary). ARIA Regional integrates asuite of modules for evaluating andmanaging pollutant emissions from diversesources: industry, traffic, natural sources,domestic sources. In diagnostic mode, thesystem enables the evaluation of incidentsof pollution. In prospective mode, it teststhe impact of measures taken to improveair quality (e.g., city transport plan,emission reduction, changes in vehicularfleet, fuel composition). In forecastingmode, through the use of a 3D medium-scale meteorological forecast model, ARIARegional provides information on airquality (ozone, NO2, PM) up to 48 hours inadvance and displays it on a wide range ofpublic awareness tools: websites,smartphones, etc.

System to analyse and forecast air quality at urbanand regional levels

RegionalRegional

Selected references

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Key features Air quality forecast module Centralized information on air

quality and site characteristics Link to databases of air quality

monitoring networks 3D module for visualization of

data and results Management and update of

emission maps with detaileddescription of the sources

Module for 3D reconstitution ofwind fields, turbulence andtemperature, apart from airquality

Choice between different 3Ddispersion modules, with orwithout chemical reaction

Data export in various formats:NetCDF,KML, etc.

Input data Spatial scale: domains ranging

from 30 km x 30 km to 2000 kmx 2000 km

Meteorological data: all availabledata measured at ground orelevated level, output from large-scale models (ECMWF, ARPEGE,GFS [NCEP])

Emissions data: emissions of allnorm species (CO, NOx, SO2,VOCs, PM, NH3) from large pointsources, linear sources (e.g, roadsegments), area sources (e.g.,domestic heating, biogenic)

Management of SNAP categoriesand VOC speciation

Temporal modulation (monthly,weekly, and hourly) for eachcategory.

Modelling Meteorological models: SWIFT

meteorological assimilationmodel for the diagnostic mode;WRF model, with or withoutassimilation, for the forecastingmode

Dispersion models: Eulerianmodel (CHIMERE and FARM inreactive or non-reactive,gaseous or particulate mode)and Lagrangian model (SPRAY)

Forecast model: reactive modelCHIMERE, Eulerian model FARM,and Lagrangian model SPRAY.

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A single concern, the atmospheric environment8/10, rue de la Ferme

92100 Boulogne-BillancourtFrance

Phone: +33 (0)1 46 08 68 60Fax: +33 (0)1 41 41 93 17

Email: [email protected]


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