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MUNICH and SinG Modeling Trainning

  • 1 Day Training
  • Street-in-Grid model (SinG)
  • The Model of Urban Network of Intersecting Canyons and Highways (MUNICH)
  • Date: June 08, 2024
  • Location: USP – University of São Paulo, Brazil
  • 09:00 às 17:00

REGISTRATION

Fee in real (R$)

R$ 500,00

Registration FeeINTERNATIONAL PAYMENT

 

BRAZILIAN PAYMENT

Street-in-Grid (SinG) Modeling Training

Training description

Street-in-Grid model (SinG) is a new multi-scale model of urban air pollution (Kim et al., 2018). SinG dynamically combines an Eulerian model (Polair3D) with a street-network model (MUNICH). This combined model aims at improving urban street-level pollutant concentrations by modeling both background and street-level concentrations at the same time. The model development has been conducted in Centre d’Enseignement et de Recherche en Environnement Atmosphérique (CEREA), joint laboratory of Ecole des Ponts ParisTech and EDF R& D by funding of EDF R& D and EDF R& D China. Its first application has been realized over the Paris region. This training covers topics including SinG concept, how to set up the configurations for a test simulation and how to generate input data.

Objectives

Introduce the SinG model and its application over the Paris region (Kim et al., 2018)
Install SinG and run a test case of SinG
Prepare applications of SinG over a particular modeling domain of each participant

Organizers

CEREA, Marne-la-Vallée, France (Director Pietro Bernardara)
NCSU Air Quality Forecasting Lab, Raleigh, NC, U.S.A. (Professor Yang Zhang)

Topics:

  • Introduction to Polyphemus system
  • Introduction to Polair3D
  • Polair3D – Preprocessing
  • Polair3D – Processing/Postprocessing
  • Setup and Run Verification of simulation results
  • Introduction to MUNICH
  • MUNICH – Preprocessing
  • MUNICH – Processing/Postprocessing
  • MUNICH – Processing/Postprocessing
  • Polair3D – Preprocessing using nesting
  • Test-case: Le Perreux-sur-Marne (horizontal resolution: 1 km)
  • Polair3D – Processing/Postprocessing using nesting
  • Introduction to Street-in-Grid
  • Street-in-Grid – Preprocessing
  • Test-case: Le Perreux-sur-Marne
  • Street-in-Grid – Processing/Postprocessing
  • Setup and Run
  • Verification of simulation results
  • Comparison between Polaird3D, MUNICH and SinG
  • Introduction to Pollemission
  • Hands-on Pollemission

Training session: Street-scale modeling with MUNICH

The Model of Urban Network of Intersecting Canyons and Highways (MUNICH) allows the representation of the dispersion and physicochemical transformations of pollutants in streets. The street-segment volumes are discretized with an Eulerian approach. Breaking away from the Gaussian methodology, this approach allows one to model the transformations of pollutants (reactivity, gas/particle partitioning formation of ultrafine particles), as they are transported from the regional scale (background concentrations) to the street. The horizontal and vertical transport within the street and between the street and the background are parameterized using Computational Fluid Dynamics. They depend on the meteorology, the stability of the atmosphere and on the street characteristics. They account for both building and street tree effects. MUNICH can be coupled to a regional-scale chemical transport model to simulate air quality over districts or cities, allowing it to represent the high concentrations of NO2, black carbon, and particles often observed in streets.

09:00 Urban and street-scale modeling

*Karine Sartelet, Youngseob Kim, Lya Lugon, #Thibaud Sarica, #Yang Zhang

10:00 Q&A

10:30 The street-scale model MUNICH – Hands on session 

* Lya Lugon, Youngseob Kim, Karine Sartelet, #Thibaud Sarica, #Yang Zhang

– Compiling

– Download the configuration files and input data for test case

12 :00 Lunch

14:00 The street-scale model MUNICH – Hands on session 

*Lya Lugon, Youngseob Kim, Karine Sartelet, #Thibaud Sarica, #Yang Zhang

– preprocessing

– processing

– postprocessing

16:00 Break

16:30 Adaptation to specific user cases

*Youngseob Kim, Karine Sartelet, Lya Lugon, #Thibaud Sarica, #Yang Zhang

(*Center for teaching and research in Atmospheric Environment (CEREA), #Northeastern University)