Dynamic Ambient Noise Model Comparison with动态环境噪声模型的比较.doc

PAGE 1 PAGE TBD DATE \@ M/d/yyyy 6/5/2005 Dynamic Ambient Noise Model Comparison with Point Sur, Charlotte V. Leigh, APL-UW Anthony I. Eller, SAIC Applied Physics Laboratory, University of Seattle, Washington Science Applications International Corporation McLean Contract N0024-02-D-6602 TBD PAGE 0 DATE \@ M/d/yyyy 6/5/2005 PAGE 1 TBD DATE \@ M/d/yyyy 6/5/2005 CONTENTS 1. INTRODUCTION 1 2. POINT SUR DATA 1 2.1 Acoustic Data 2 2.2 Environment 3 2.3 Vessel Traffic 5 2.4 Point Sur Data Processing and Data Distribution 7 3. DYNAMIC AMBIENT NOISE MODEL (DANM 10 4. AMBIENT NOISE DIRECTIONALITY ESTIMATION SYSTEM (ANDES) 12 5. MODEL-MEASUREMENT COMPARISONS 13 5.1 Median Levels: DANM PE, DANM AS 5.2 Median Levels: DANM AS, ANDES AS, Point Sur in situ Passband 15 5.3 Mean Levels: DANM PE, ANDES AS, Point Sur in situ Passband 18 5.4 Mean Levels: DANM AS, ANDES AS, Point Sur in situ Passband 19 6. CONCLUSIONS 21 7. RECOMMENDATIONS 22 8. ACKNOWLEDGEMENTS 22 REFERENCES 23  1. INTRODUCTION This analysis was conducted to provide benchmarked performance of the Dynamic Ambient Noise Model (DANM) Version 1.0 against both in situ ambient noise (AN) measurements collected in 1998 offshore Point Sur, First, the Point Sur data set is characterized. Next, the DANM Version 1.0 model and the ANDES model configurations are described. The first performance analysis evaluates the omni-directional predictive capabilities of DANM and ANDES. For omni analysis, the DANM and ANDES shipping components are calculated from shipping density databases. Planned for the second analysis, is an assessment of the directional predictive capabilities of the DANM and ANDES models. For this planned analysis, the shipping component is calculated from both the shipping density database and discrete ship tracks 2. POINT SUR IN SITU DAT