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

Dynamic Ambient Noise Model Comparison with Point Sur, California, In-Situ Data Charlotte V. Leigh, APL-UW Anthony I. Eller, SAIC Applied Physics Laboratory, University of Washington Seattle, Washington Science Applications International Corporation McLean, Virginia Contract N0024-02-D-6602 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, Point Sur in situ Passband 14 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, California and against predicted AN spectrum levels computed with the Ambient Noise Directionality Estimation System (ANDES). 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 calcula