# NOISE SIMULATION NOISE SIMULATION , VISUALIZATION AND 3D GIS FOR - PowerPoint PPT Presentation

## HOCHSCHULE FR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES THE INTEGRATION OF THE INTEGRATION OF NOISE SIMULATION NOISE SIMULATION , VISUALIZATION AND 3D GIS FOR ROSENSTEINVIERTEL VISUALIZATION AND 3D GIS FOR ROSENSTEINVIERTEL IN

1. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES THE INTEGRATION OF THE INTEGRATION OF NOISE SIMULATION NOISE SIMULATION , VISUALIZATION AND 3D GIS FOR ROSENSTEINVIERTEL VISUALIZATION AND 3D GIS FOR ROSENSTEINVIERTEL IN STUTTGART IN STUTTGART By Ahmad Yousef Supervised By Prof. Dr. Volker Coors MSc. Katja Huning

2. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Contents � Introduction � Sound Concept � Sound Propagation � Objective � Workflow � ArcGIS � MS Excel � Results � Summary Ahmad Yousef

3. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Introduction Introduction Sound can be defined as any pressure variation that the � human ear can detect. Sound Noise Noise is defined as any unwanted human created sound. � Decibel + / - Noise Scale for Noise: � Propagation Force per Unit Area � • Dynes / cm 2 [ Bar ] • Newtons / m 2 [ Pascals ] Decibel [dB] � SPL = 20 log 10 P/P o P o = 20 µPa Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

4. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Introduction Introduction Adding and Subtracting Noise Sound NL 1 NL 2 NL 3 NLn Noise = + + + + NL 10 . log[ 10 10 10 ... 10 ] 10 10 10 10 Decibel + / - Noise + & - are Logarithmic Propagation Process + = 63 dB 60 dB 60 dB Adding NL’s using a simple table - When combining sound levels:- When Two Decibel Add This Amount Example: Values Differ By: To the Higher Value: 0 or 1 dB 3 dB 70 + 69 = 73 2 or 3 dB 2 dB 74 + 71 = 76 4 to 9 dB 1 dB 66 + 60 = 67 10 dB or more 0 dB 65 + 55 = 65 Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

5. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Introduction Introduction Sound Noise Decibel + / - Noise Propagation Sound Propagation / Attenuation • Spreading • Volume Type Absorption • Air Absorption • Vegetation • Ground Effect • Built-up • Screening • Reflection Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

6. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Objective Objective Data from a variety of sources Participating (DXF, shp, Bitmap, text, numeric, vector, ..) Authorities Land-use, Streets, DTM, … Input Data GIS Noise Modeling Noise Maps Access to data and results Citizens with control of access rights 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Ahmad Yousef

7. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Objective Objective Propagation S t a 2D n d a r d s NOISE Simple Tools to give a Rough Idea of the Impact of Roads 3D Mapping Changes / Planning Scenario F u Flexible Railways t u r e Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

9. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Noise Mapping Methods of Noise Mapping Methods Buffering Buffering Shortest Path Search Method Shortest Path Search 2D 2D 2D / 3D Low Running Time Average High No Propagation No Yes Low Accuracy Average High Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

10. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Workflow ArcGIS Data Preparation MS Excel Run Display Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

11. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Land Use Land Use Image Polygons Raster Points Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

12. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Digital Elevation Model DEM Buildings DTM Buildings Area around Buildings DTM – Building Digital Elevation Model DTM Location Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

13. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method 3D Receivers Land Use Image Polygons Raster Points Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

14. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Input Sheet Sources Receivers Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

15. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Working with Excel Raster Sheet Land use • Reconstruct the Raster Noise Rays • Define the Noise Ray Path between the Receiver and Sources Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

16. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES DEMO Raster Sheet Land use Noise Rays Ahmad Yousef

17. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Propagation Path Noise Rays Path Curve Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

18. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Noise Attenuation Attenuation Spreading ∑ ∑ log n = − NL [ NL ( Ai )] Air absorption Re civer − all sources 1 Ground Effect Volume Type Spreading Section Corr. = π 2 = + Screening Spreading 10 log( 4 R ) dB [ 20 log( R ) 11 ] dB Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

19. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Air Absorption & Ground Effect Street / Railway Section Correction Attenuation Spreading Air absorption Ground Effect Volume Type Section Corr. Screening Volume Type Absorption Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

20. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Screening Attenuation Spreading Air absorption Ground Effect Volume Type Section Corr. Screening Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

21. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Search Method Noise Level Results Results Case 1 Case 1 Case 2 Noise Value with Case 3 Spreading & Air Absorption. Case 2 Noise Value with both Spreading, Air Absorption, Ground Effect and Volume type Absorption. Case 3 Like Case 2 + Vertical Screening. Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

22. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Results Noise Map Results North Stuttgart Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

23. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Results Results of Noise Cases Results Case 1 Case 2 Case 3 Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

24. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Results Noise at different Heights Results H = 0 m H = 5 m H = 15 m Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

25. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Existing Results Existing Noise Maps Results Stuttgart 21 CSTB CSTB Stuttgart 21 Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

26. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Summary Summary This method does not cover Horizontal Scanning and Reflection. � What Cover Simple and easy way to map the Noise. � Accuracy The Accuracy depend on the Receivers Distances. � Problem Running Time Problem � Running Time per one Case No. of Receivers No. of Sources Time (Hours) Process (sec) R50 S50 1600 186 6.5 0.079 R 20 S50 10,000 186 44 0.085 R10 S20 8,450 297 60 0.086 Using Java � All Calculation process done behind one Button. � Conditional Statements to reduce the calculation process, i.e. � checking the distance between the Receiver and the Source. Web publishing ( 2D and 3D Scene [ VRML ]). � Air Pollution Modeling � Ahmad Yousef 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

27. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES DEMO Ahmad Yousef

28. HOCHSCHULE FÜR UNIVERSITY OF TECHNIK STUTTGART APPLIED SCIENCES Thank You “Good Neighbors Keep their Noise to themselves" Ahmad Yousef

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