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第 37 卷 第 6 期                                                                        Vol. 37, No.6
             2018 年 11 月                         Journal of Applied Acoustics                 November, 2018


             ⋄ 研究报告 ⋄
                          基于集合卡尔曼变换的东中国海声学


                                            敏感区判定方法                        ∗



                                         崔宝龙      1,2†  笪良龙      1,2  过武宏     1,2

                                                 (1 海军潜艇学院     青岛   266199)
                                  (2 青岛海洋科学与技术国家实验室海洋军民融合联合实验室                青岛   266237)

                摘要    为改善海洋与水声环境预报质量，针对常规观测成本高、资料利用率低等问题，将适应性观测方法应用
                于海洋声学领域。结合海洋 -声学耦合模式与集合卡尔曼转换敏感区诊断方法，以东中国海宫古海峡北部区域
                为验证区，计算并分析不同条件下海洋环境敏感区与声学敏感区分布，通过观测系统模拟试验验证适应性观
                测对验证区预报的提升效果。结果表明，两种敏感区位置随时间间隔增加均向验证区上游移动，海洋环境敏感
                区相比于声学敏感区分布更为集中，且平移特征更明显；对海洋环境敏感区和声学敏感区添加适应性观测均
                能提升海洋与水声环境的预报质量，提升效果随时间间隔增加而减小，在某种类型敏感区的适应性观测对相
                对应参数的预报质量提升效果优于对其他类型敏感区进行观测的效果。
                关键词     适应性观测，海洋声场环境，敏感区诊断，集合卡尔曼变换
                中图法分类号: TN566           文献标识码: A          文章编号: 1000-310X(2018)06-0895-09
                DOI: 10.11684/j.issn.1000-310X.2018.06.010
                Identifying acoustic sensitive area of the East China Sea based on ensemble

                                               transform Kalman filter

                                    CUI Baolong 1,2  DA Lianglong 1,2  GUO Wuhong  1,2

                                        (1 Navy Submarine Academy, Qingdao 266199, China)
                  (2 Joint Laboratory for Marine Civil-Military Integration of Qingdao National Laboratory for Marine Science and
                                               Technology, Qingdao 266237, China)
                 Abstract  In order to improve the forecast quality of ocean and acoustic environment, the method of adaptive
                 observation is applied in the ocean acoustic field to overcome the problems of conventional observation, such as
                 high cost and low data utilization rate. An area in the north of Miyako Strait at the East China Sea is selected
                 as the target area. Ocean and acoustic environment sensitive areas in different conditions are calculated and
                 analyzed combining ocean-acoustic coupled mode with ensemble transform Kalman filter method. The effect
                 of adaptive observation on the target area is verified through observation system simulation experiment. The
                 results show that the sensitive areas of both kinds move towards the upriver area and the ocean environment
                 sensitive area is more concentrated with greater panning features. The adaptive observation improves the
                 ocean and acoustic environment forecast quality of target area and the improving effect declines with the time
                 interval between the observation and verification time. The effect of adaptive observation in particular kind
                 of sensitive area on corresponding forecast quality is greater than the adaptive observation on other kinds of
                 sensitive areas.
                 Key words   Adaptive observation, Ocean acoustic environment, Sensitive area identification, Ensemble trans-
                 form Kalman filter

             2018-01-30 收稿; 2018-05-01 定稿
             国家 530 专项 2015 年第一批任务研究与服务保障项目, 国防科技创新特区项目 (17-H863-05-ZT-001-024-01)
             ∗
             作者简介: 崔宝龙 (1988-), 男, 黑龙江齐齐哈尔人, 博士研究生, 研究方向: 水声环境效应技术。
             † 通讯作者 E-mail: cuibaolong0715@gmail.com
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