1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl1 Spatial, temporal and chemical disaggregation of Lombardy 1997 gas inventory G.Maffeis,

Slides:



Advertisements
Similar presentations
Formaldehyde columns from GOME as a proxy for biogenic emissions over Europe Università degli Studi dellAquila – CETEMPS LAquila, ITALY
Advertisements

Title ALADIN METEOROLOGICAL DATA June 24-25, 2002, at IIASA, Laxenburg, Austria Available domain: Long: 11°W – 17°E Lat: 35°N – 57°N Period: 01/01/1999.
Assessing pollutant loads in inland and coastal waters for continental Europe FATE project Institute for Environment and Sustainability Joint Research.
Institute for Environment and Sustainability1 POMI Kick-off Meeting 07/03/2008.
Emissions in GEMS Data on emissions are needed for the 4 sub-systems GHG, GRG, AER and RAQ GEMS Project has dedicated tasks for emissions and surface fluxes.
Fires, Atmospheric Composition and Earth System Feedbacks Oliver Wild Centre for Atmospheric Science Cambridge JULES Science Meeting, Exeter, June.
Detailed chemical modelling based on the Master Chemical Mechanism (MCM) Mike Jenkin EMMA Group Department of Environmental Science and Technology
Expert Meeting on the Assessment of Contributions to Climate Change Takanobu KOSUGI, Toshimasa TOMODA, Keigo AKIMOTO Research Institute of Innovative Technology.
2013 Emissions Inventory Workshop EXAMPLE CALCULATIONS.
EC Regional Air Quality Deterministic Prediction System (RAQDPS) Mike Moran Air Quality Research Division Environment Canada, Toronto, Ontario Mtg on AQ.
National Institute of Environmental Research Atmospheric Physics Division National Institute of Environmental Research Fax: ,
An experience on modelling-based assessment of the air quality within the Air Quality Directive framework Ana Isabel Miranda, Isabel Ribeiro, Patrícia.
Model and Relationships 6 M 1 M M M M M M M M M M M M M M M M
RomSoft Company Presentation 8 April 2017 RomSoft srl.
Science questions How will source-receptor relations change due to expected changes in emissions? How should future emission scenarios be constructed?
MINNI Project outcomes: downscalings for regional policy support ARIANET s.r.l. via Gilino, 9 – Milano (MI) – ITALY - tel – fax
1 st Chimere workshop March 2005Stortini,Bonafe,Deserti,Minguzzi,Jongen Operational implementation of NINFA in Northern Italy ARPA Servizio IdroMeteorologico.
DEA - Università degli Studi di Brescia Multi-objective optimization to select effective PM10 control policies in Northern Italy C. Carnevale, E. Pisoni,
G. Pirovano – CESIRICERCA, Italy Comparison and validation of long term simulation of PM10 over 7 European cities in the frame of Citydelta project Bedogni.
ENAC-SSIE Laboratoire de Pollution de l'Air Bogotá air quality Colombia, 2003.
1 Modelling Activities at LAC (PSI) in Switzerland Ş. Andreani-Aksoyo ğ lu, J. Keller, I. Barmpadimos, D. Oderbolz, A.S.H. Prévôt Laboratory of Atmospheric.
Evaluation of the AIRPACT2 modeling system for the Pacific Northwest Abdullah Mahmud MS Student, CEE Washington State University.
CMAQ (Community Multiscale Air Quality) pollutant Concentration change horizontal advection vertical advection horizontal dispersion vertical diffusion.
1 Overview of the Emissions Modeling Platform October 17, 2007 NAAQS RIA Workshop Rich Mason EPA/OAQPS/AQAD/EIAG.
Simulation of European emissions impacts on particulate matter concentrations in 2010 using Models-3 Rob Lennard, Steve Griffiths and Paul Sutton (RWE.
Future prediction of tropospheric ozone over south and east Asia in 2030 Satoru Chatani* Toyota Central R&D Labs., Inc. Markus Amann and Zbigniew Klimont.
©2005,2006 Carolina Environmental Program Sparse Matrix Operator Kernel Emissions SMOKE Modeling System Zac Adelman and Andy Holland Carolina Environmental.
Xuexi Tie Xu Tang,Fuhai Geng, and Chunsheng Zhao Shanghai Meteorological Bureau Atmospheric Chemistry Division/NCAR Peking University Understand.
COMPARISON OF LINK-BASED AND SMOKE PROCESSED MOTOR VEHICLE EMISSIONS OVER THE GREATER TORONTO AREA Junhua Zhang 1, Craig Stroud 1, Michael D. Moran 1,
TSS Data Preparation Update WRAP TSS Project Team Meeting Ft. Collins, CO March 28-31, 2006.
1 René Parra, Pedro Jiménez and José M. Baldasano Environmental Modeling Laboratory, UPC Barcelona, Spain Models-3 Conference, Chapel Hill, North Carolina,
Impact of Emissions on Intercontinental Long-Range Transport Joshua Fu, Yun-Fat Lam and Yang Gao, University of Tennessee, USA Rokjin Park, Seoul National.
The Euro- and City-Delta model intercomparison exercises P. Thunis, K. Cuvelier Joint Research Centre, Ispra.
IES - Institute for Environment and Sustainability Ispra - Italy Joint Research Centre (JRC)
1 Recent Advances in the Modeling of Airborne Substances George Pouliot Shan He Tom Pierce.
Soontae Kim and Daewon W. Byun Comparison of Emission Estimates from SMOKE and EPS2 Used for Studying Houston-Galveston Air Quality Institute for Multidimensional.
Estimating Biogenic VOC Emissions for the SCOS Domain Using the BEIGIS Model Michael Benjamin & Klaus Scott California Air Resources Board SCOS97 regional.
Emission Inventories and EI Data Sets Sarah Kelly, ITEP Les Benedict, St. Regis Mohawk Tribe.
| Folie 1 Assessment of Representativeness of Air Quality Monitoring Stations Geneva, Wolfgang Spangl.
Research Progress Discussions of Coordinated Emissions Research Suggestions to Guide this Initiative Focus on research emission inventories Do not interfere.
Air Quality Forecasting in China using a regional model Bas Mijling Ronald van der A Henk Eskes Hennie Kelder.
WRAP Emission Inventory EI’s traditionally consider 4 sectors : – Stationary Point Sources – Area Sources – Mobile Sources – Biogenic Sources.
METEOROGICAL AND CHEMICAL PREDICTION WEB BASED SYSTEM USING RAMS AND CAMx NUMERICAL MODELS By Maria Victoria Toro G. PhD Nestor Waldyd Alvarez V. E.E.
TEMIS user workshop, Frascati, 8-9 October 2007 TEMIS – VITO activities Felix Deutsch Koen De Ridder Jean Vankerkom VITO – Flemish Institute for Technological.
Georgia Institute of Technology Assessing the Impacts of Hartsfield- Jackson Airport on PM and Ozone in Atlanta Area Alper Unal, Talat Odman and Ted Russell.
Three-State Air Quality Study (3SAQS) Three-State Data Warehouse (3SDW) 3SAQS/3SDW Progress Review to the 3SAQS Technical Committee University of North.
TFEIP Workshop, Istanbul, May 2013 Emissions data for of heavy metal and POP modelling Oleg Travnikov, Alexey Gusev, Ilia Ilyin, Olga Rozovskaya, Victor.
GlobEmission (ITT 6721) new ESA contract starting on Oct. 11 KNMI/BIRA/FMI/TNO/VITO.
PAGE 1 An adaptation of SMOKE for Europe Johannes Bieser Armin Aulinger, Volker Matthias, Markus Quante GKSS Research Center Geesthacht, Germany.
AQ Emissions Data Considerations and Needs Greg Frost NOAA, University of Colorado Two key kinds of AQ data on chemical species: Emissions and Ambient.
Multi-resolution Emission Inventory for China (MEIC): model framework and anthropogenic emissions Kebin He School of Environment Tsinghua University,
VISTAS Use of CEM Data and CEM Cross-Referencing Activities Presented by: Gregory Stella VISTAS Technical Advisor – Emission Inventories Alpine Geophysics,
Aerosol simulation with coupled meteorology-radiation- chemistry model WRF/Chem over Europe.
GlobEmission (ITT 6721) new ESA contract starting on Oct. 11 KNMI/BIRA/FMI/TNO/VITO.
Institute for Environment and Sustainability1 Date & Time 09: :30Status review and improvements  BaseCase (1) problem review and actions taken (20’)
The application of Models-3 in national policy Samantha Baker Air and Environment Quality Division, Defra.
Research Progress Discussions of Coordinated Emissions Research Suggestions to Guide this Initiative Focus on research emission inventories Do not interfere.
Air Quality Emission inventories
Western Regional Technical Projects 2011 through 2013
Jeff Vukovich, USEPA/OAQPS/AQAD Emissions Inventory and Analysis Group
VISTAS Use of CEM Data and CEM Cross-Referencing Activities
Lily Li, Qing Lu, Jingyu An, Cheng Huang
University of North Carolina Institute for the Environment
WRAP Technical Planning Meeting Salt Lake City, UT December 5, 2018
Steve Griffiths, Rob Lennard and Paul Sutton* (*RWE npower)
Emission inventory: characteristics and status
Model overview.
PM modelling assessment in Northern Italy
Uncertainties in emission inventories
AoH Conference Call September 7, 2004
Presentation transcript:

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl1 Spatial, temporal and chemical disaggregation of Lombardy 1997 gas inventory G.Maffeis, M.G. Longoni, E. Bossi Terraria srl. Milan - Italy Under contract with Institute for Environment and Sustainability JRC Ispra

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl2 Lombardy Emission Inventory INEMAR (INventario EMissioni ARia) project earthed by Regione Lombardia; Reference year: 1997; Last update: 2001; Time resolution: year; Spatial resolution: municipality; Pollutant: SO 2 NO X VOC CH 4 CO NH 3

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl3 Lombardy Emission Inventory macrosector % contribution

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl4 Lombardy Emission Inventory NO X (all macrosectors) ton/year

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl5 Spatial disaggregation of areal emission where: E Ci M : grid cell emission (macrosector M; cell Ci); S(u,M): landuse profile (use u; macrosector M); E c M : municipality emission (macrosector M; municipality c); A c Ci (u): landuse u surface, contained in cell Ci and belonging to municipality c.

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl6 Spatial disaggregation CORINE land cover

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl7 Spatial disaggregation (a) NOx macrosector 2 (ton/year) DOMAIN: (459; 4.945) UTM Km x and y step: 5000 m x cells: 47 y cells: 45

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl8 Spatial disaggregation (b) VOC macrosector 6 (ton/year) DOMAIN: (459; 4.945) UTM Km x and y step: 5000 m x cells: 47 y cells: 45

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl9 Spatial disaggregation (c) NOx macrosector 7 (ton/year) DOMAIN: (459; 4.945) UTM Km x and y step: 5000 m x cells: 47 y cells: 45

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl10 Spatial disaggregation (d) VOC macrosector 11 (ton/year) DOMAIN: (459; 4.945) UTM Km x and y step: 5000 m x cells: 47 y cells: 45

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl11 Temporal disaggregation of emission (a) E(t) = EF(t) * I(t) EF(t) = f 1 (h, d, m, p, a(t), M(t)) I(t) = f 2 (h, d, m, a(t)) E(t) = f 3 (h, d, m, p, a(t), M(t)) typical approximation: separation of functionality dependence f 3 (t) = f 31 (h) * f 32 (d) * f 33 (m) * f 34 (p) * f 35 (a) * f 36 (M) t: timeh: hour d: daym: month p: pollutant a(t): activity M(t): meteorology E(t): emission EF(t): emission factor I(t): indicator

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl12 Temporal disaggregation of emission (b) where: E{(h, gt, s), i, M, cc}: hourly emission (hour h, day gt, season s, pollutant i, macrosector M, climatic zone cc); P H {(h, gt, s), i, M, cc}: the 24 hours temporal profile (2376) for the day gt (3), the season s (4), the pollutant i (6), the macrosector M (11) the climatic zone s (3); E{(a, i, M, cc}: yearly emission (year a, pollutant i, macrosector M, climatic zone cc). General formulation (used in this work):

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl13 Temporal disaggregation Climatic zones 1 = green: plain; 2 = dark green: hill; 3 = brown: mountain.

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl14 Temporal disaggregation: NOx daily profile SNAP1

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl15 Temporal disaggregation: CO daily profile SNAP2

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl16 Temporal disaggregation: CO daily profile SNAP2

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl17 Temporal disaggregation: winter working profile SNAP7

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl18 Temporal disaggregation: CO winter daily profile SNAP7

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl19 VOC speciation (a) Reference: AEAT/ENV/R/0546 Issue 1 AEAT/ENV/R/0546 Issue 1 Speciation of UK emissions of non-methane organic compounds N.R. Passant - February 2002 Relative contribution of oxygenated hydrocarbons to the total biogenic VOC emissions of selected mid-European agricultural and natural plant species Relative contribution of oxygenated hydrocarbons to the total biogenic VOC emissions of selected mid-European agricultural and natural plant species G. Konig, M. Brunda, H. Puxbaum, C.N. Hewitt, S.C. Duckham and J. Rudolph Atmospheric Environment, 29,

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl20 VOC speciation (b) where: PS(i, M): percentage speciation profile of species i, macrosector M; PS(i, M): percentage speciation profile of species i, activity a belonging to macrosector M PS(i, M): percentage speciation profile of species i, activity a belonging to macrosector M; E VOC (M): VOC yearly macrosector M emission; E VOC (a): VOC yearly activity a emission; A(M): number of activities a belonging to macrosector M.

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl21 VOC speciation SNAP4

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl22 VOC speciation SNAP6

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl23 VOC speciation SNAP7

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl24 VOC speciation SNAP11

1997 Lombardy inventory disaggregationG.Maffeis - TerrAria srl25 VOC speciation UK vs LOMBARDY SNAP6