Improved Methods for the Assessment of the Generic Impact of Noise to the Environment 6th Framework Programme, Area 1.2.1, Policy-oriented research, contract.

Slides:



Advertisements
Similar presentations
Outdoor propagation – cylindrical field. Line Sources Many noise sources found outdoors can be considered line sources: roads, railways, airtracks, etc.
Advertisements

Outdoor propagation – cylindrical field. Line Sources Many noise sources found outdoors can be considered line sources: roads, railways, airtracks, etc.
Phoenics User Conference on CFD May 2004 Vipac Engineers & Scientists Ltd COMPUTATIONAL FLUID DYNAMICS Simulation of Turbulent Flows and Pollutant Dispersion.
Wind Farm Noise Impact Assessment NOISE PREDICTIONS – SOURCE DATA AND PROPAGATION.
Data Communication lecture10
Noise from Road and Railway Tunnels. Noise from the Tunnel Mouth New Object type tunnel opening available from SoundPLAN 7 Object is digitized using two.
Dr. Hervé Lissek - Journées d'automne SSA 2006 Active acoustic absorption General presentation - applications Dr. Hervé Lissek Laboratoire d’Electromagnétisme.
Improved Methods for the Assessment of the Generic Impact of Noise to the Environment 6th Framework Programme, Area 1.2.1, Policy-oriented research, contract.
SYSC4607 – Lecture 2 (Cont.) Announcements 1 st Assignment posted, due Thursday, Jan. 18, 4:00 p.m. TA office hours Importance of reading the required.
OpenFOAM for Air Quality Ernst Meijer and Ivo Kalkman First Dutch OpenFOAM Seminar Delft, 4 november 2010.
Meteorological Data Issues for Class II Increment Analysis.
Propagation Characteristics
1. Outdoor Propagation Models
Ray Tracing A radio signal will typically encounter multiple objects and will be reflected, diffracted, or scattered These are called multipath signal.
EELE 5490, Fall, 2009 Wireless Communications Ali S. Afana Department of Electrical Engineering Class 6 Dec. 4 th, 2009.
2003 MSS BA C-8 1 Acoustic Source Estimation with Doppler Processing Richard J. Kozick Bucknell University Brian M. Sadler Army Research Laboratory.
1 AirWare : R elease R5.3 beta AERMOD/AERMET DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA
Damping of Whistler Waves through Mode Conversion to Lower Hybrid Waves in the Ionosphere X. Shao, Bengt Eliasson, A. S. Sharma, K. Papadopoulos, G. Milikh.
Satellite observation systems and reference systems (ae4-e01) Signal Propagation E. Schrama.
EELE 5490, Fall, 2009 Wireless Communications
Naval Weapons Systems Energy Fundamentals Learning Objectives  Comprehend basic communication theory, electromagnetic (EM) wave theory  Comprehend.
Scattering and Attenuation Seismology and the Earth’s Deep Interior Scattering and Attenuation Propagating seismic waves loose energy due to geometrical.
Rensselaer Environmental Noise Architectural Acoustics II March 17, 2008.
GPS / RO for atmospheric studies Dept. of Physics and Astronomy GPS / RO for atmospheric studies Panagiotis Vergados Dept. of Physics and Astronomy.
ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.
KIT – University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH,
The Wave Nature of Light. Waves So far we have learned about mechanical waves in slinkies, strings, and air. Sound waves are mechanical waves. Mechanical.
AMBIENT AIR CONCENTRATION MODELING Types of Pollutant Sources Point Sources e.g., stacks or vents Area Sources e.g., landfills, ponds, storage piles Volume.
Cell Coverage for Signal and Traffic
EM propagation paths 1/17/12. Introduction Motivation: For all remote sensing instruments, an understanding of propagation is necessary to properly interpret.
Random Media in Radio Astronomy Atmospherepath length ~ 6 Km Ionospherepath length ~100 Km Interstellar Plasma path length ~ pc (3 x Km)
The diagram shows weather instruments A and B.
UMRIDA Kick-Off Meeting Brussels, october Partner 11 : INRIA.
Understanding the USEPA’s AERMOD Modeling System for Environmental Managers Ashok Kumar Abhilash Vijayan Kanwar Siddharth Bhardwaj University of Toledo.
Problems related to the use of the existing noise measurement standards when predicting noise from wind turbines and wind farms. Erik Sloth Vestas Niels.
EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 7 Feb. 10 th, 2009.
Richard Rotunno National Center for Atmospheric Research, USA Dynamic Mesoscale Mountain Meteorology Lecture 2: Thermally Driven Circulations.
Improved Methods for the Assessment of the Generic Impact of Noise to the Environment 6th Framework Programme, Area 1.2.1, Policy-oriented research, contract.
COMPARISON OF ANALYTICAL AND NUMERICAL APPROACHES FOR LONG WAVE RUNUP by ERTAN DEMİRBAŞ MAY, 2002.
1 Sound Field Modeling in Architectural Acoustics using a Diffusion Equation Based Model N. Fortin 1,2, J. Picaut 2, A. Billon 3, V. Valeau 4, A. Sakout.
Sound field descriptors Eng.Ivaylo Hristev. Contents 1. Wave acoustics. Room resonances. 2. Ray acoustics. Raytracing. 3.Statistical acoustics. Reverberation.
Toward a mesoscale flux inversion in the 2005 CarboEurope Regional Experiment T.Lauvaux, C. Sarrat, F. Chevallier, P. Ciais, M. Uliasz, A. S. Denning,
Path loss & shadowing By eng : mahmoud abdel aziz.
Propagation Models Large scale models predict behavior averaged over distances >>  Function of distance & significant environmental features, roughly.
Far Shore Wind Climate Modelling Background Far shore wind conditions are expected to be favorable for wind energy power production due to increased mean.
EE383 – Lecture 2 Outline Review of Last Lecture Signal Propagation Overview TX and RX Signal Models Complex baseband models Path Loss Models Free-space.
1 Diffraction Phenomena: Radio signal can propagate around the curved surface of the earth, beyond the horizon and behind obstructions. Huygen’s principle:
General Frequency Ranges Microwave frequency range –1 GHz to 40 GHz –Directional beams possible –Suitable for point-to-point transmission –Used for satellite.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
COSMO General Meeting Zurich, 2005 Institute of Meteorology and Water Management Warsaw, Poland- 1 - Simple Kalman filter – a “smoking gun” of shortages.
ITSC-1227 February-5 March 2002 Use of advanced infrared sounders in cloudy conditions Nadia Fourrié and Florence Rabier Météo France Acknowledgement G.
Dirk Van MaerckeIMAGINE Final Conference, Budapest, Development of the HARMONOISE Point-To-Point MODEL Prediction of Excess Attenuation in.
Wireless communication lectureset: 8
1 EMLAB EM wave propagation. 2 EMLAB Impulse response Time Radio Propagation : physical model 안테나에서 나온 신호는 지형지물과 반사, 투과, 산란을 거치면서 다양한 진폭과, 시간 지연을 갖는 신호들로.
ECE637 : Fundamentals of Wireless Communications
Dirk Van MaerckeIMAGINE Final Conference, Budapest, Meteorological effects from theory till operational use… Dirk van Maercke CSTB 24, rue.
As you can see, low frequencies are not absorbed as well. This means low frequencies will travel farther. That graph comes from this extremely detailed.
The application of Models-3 in national policy Samantha Baker Air and Environment Quality Division, Defra.
Shadowing.
Abstract A highway traffic noise prediction model has been developed for environmental assessment in South Korea. The model is based on an outdoor sound.
Propagation of Sound and Vibration
Deciphering Gunshot Recordings
Radio Coverage Prediction in Picocell Indoor Networks
Workpackage “Noise Modelling”
a brief revision of principles and calculations from Building Physics
Excess attenuation – barriers
Network Screening & Diagnosis
ECV definitions Mapping of ECV product with OSCAR variables
PURPOSE OF AIR QUALITY MODELING Policy Analysis
Summary of 2003 Infrasound Technology Workshop
Presentation transcript:

Improved Methods for the Assessment of the Generic Impact of Noise to the Environment 6th Framework Programme, Area 1.2.1, Policy-oriented research, contract number Propagation & meteorological effects Dirk Van Maercke IMAGINE Final Conference

IMAGINE Final Conference, Budapest, 25 October 2006 N° 2 Results of the HARMONOISE project  P2P propagation models  2D + simple geometry  Reference methods (PE, BEM, RAY)  Engineering method (HarmonoiseP2P.DLL)  Specific meteorological conditions  Similarity theory + Monin-Obukhov lenght  Input : wind speed, wind direction, cloudiness  Experimental validation  Road and railway  Propagation up to 1 km Building on Harmonoise

IMAGINE Final Conference, Budapest, 25 October 2006 N° 3 WP1 : From 2D to 3D  B uilding the 3D model (specifications & requirements)  Construction of propagation paths in 2.5D WP4 : Aircraft sources  H igher sources & greater propagation distances WP7 : Industrial sources  Point sources & lateral diffraction  Extended sources & location of equivalent point sources WP3 : Determination of L den and L night (long time averaging)  Measurement or calculation (harmonised methodology)  Based on statistics (conditions + frequency of occurrence) IMAGINE Building on Harmonoise…

IMAGINE Final Conference, Budapest, 25 October 2006 N° 4 Propagation paths in 2D Principles of the methods… 2.5D geometrical model Point-to-point

IMAGINE Final Conference, Budapest, 25 October 2006 N° 5 IMAGINE Outline of the harmonised models Source models Source segmentation Free field propagation Reflexions and lateral diffractions Air absorption Excess attenuation  ground  diffraction  meteo

IMAGINE Final Conference, Budapest, 25 October 2006 N° 6  Measurements  Reference model based on 3D ray-tracing Adaptation of the propagation model Lateral diffraction

IMAGINE Final Conference, Budapest, 25 October 2006 N° 7 Lateral diffraction Validation of ray-tracing by means of BEM-3D calculations

IMAGINE Final Conference, Budapest, 25 October 2006 N° 8 Lateral diffraction

IMAGINE Final Conference, Budapest, 25 October 2006 N° 9  Loss of coherency  On input, source position: h S ±  h S  Turbulence and scattering (simplified, one parameter) Adaptation of the propagation model Size of the source & interference point sourceextended source

IMAGINE Final Conference, Budapest, 25 October 2006 N° 10 Engineering model : simplified solutions based on: Lateral diffraction Fresnel weighting Transition Diffracted ray paths S S

IMAGINE Final Conference, Budapest, 25 October 2006 N° 11 Adaptation of the propagation model High sources and long distance HARMONOISE AIRCRAFT LONG RANGE = unfavourable !

IMAGINE Final Conference, Budapest, 25 October 2006 N° 12 Extended domains of application GFPERay-Tracing Reference model = transition between GFPE and RAYS Engineering model = HARMONOISE + heuristic extensions

IMAGINE Final Conference, Budapest, 25 October 2006 N° 13 MODELLING PRINCIPLES:  Linear sound speed gradient  HARMONOISE : curved rays or curved ground analogy ?  IMAGINE : conformal mapping !  Calculate the transformed profiles using c = constant. Adaptation of the propagation model Meteorological effects

IMAGINE Final Conference, Budapest, 25 October 2006 N° 14 Meteorological effects d = 500 md = 100 m d = 250 m NUMERICAL VALIDATION : GFPE h S = 0.30 m h R = 2.50m  = 200 kNsm -4 A lin = 0.12 s -1

IMAGINE Final Conference, Budapest, 25 October 2006 N° 15 Validation & fine-tuning Excess attenuation versus equivalent linear gradient for a “point source”

IMAGINE Final Conference, Budapest, 25 October 2006 N° 16 Meteorological observations and equivalent linear gradient HARMONOISE validation = 120 calculations, all combinations of 8 wind directions, 3 wind speeds, 5 stability classes Surface observations :W,  W, S Meteorological profiles : 1/L, U*, T* Lin/Log sound speed profile A = A T + A W cos (  SR -  W ) B = B T + B W cos (  SR -  W ) Linear sound speed profile 1/R = 1/R A + 1/R B Linear sound speed profile 1/R = 1/R A + 1/R B Measurement Propagation - direction - distance

IMAGINE Final Conference, Budapest, 25 October 2006 N° 17 Meteorological effects wind + thermal stability ISO , SRM2, NMPB

IMAGINE Final Conference, Budapest, 25 October 2006 N° 18 Meteorological effects and propagation classes One parameter: D/R 5 classes + frequency of occurrence

IMAGINE Final Conference, Budapest, 25 October 2006 N° 19 Determination of L den and L night Propagation classes

IMAGINE Final Conference, Budapest, 25 October 2006 N° 20 Determination of L den and L night Propagation classes  Calculation and measurements:  Calculation:  Calculation of L den and L night requires (only) 4 calls to the P2P module, even less if p ij = 0 (short distances, high sources)

IMAGINE Final Conference, Budapest, 25 October 2006 N° 21 Determination of L den and L night Frequency of occurrence Meteorological Pre-processor Frequency of occurrence p ij Wind speed, Wind direction Cloud cover Day hours Evening hours Night hours Propagation distance Propagation direction Source / receiver height Meteorological data records

IMAGINE Final Conference, Budapest, 25 October 2006 N° 22 Propagation & meteorological effects More details & questions… this afternoon