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基于多层海雾环境的偏振光传输特性分析
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作者 谢国芳 段锦 +4 位作者 王佳林 付强 张肃 战俊彤 秦语泽 《红外与激光工程》 EI CSCD 北大核心 2024年第10期127-138,共12页
海雾中的粒子在垂直向上对流层中显示出不同的分布状态,根据海洋大气环境的特征,对海雾环境粒子分布进行分层划分,进而分析偏振光通过多层海雾环境后偏振度的变化规律。首先建立多层蒙特卡洛仿真模型,分析光子透过多层介质与粒子发生碰... 海雾中的粒子在垂直向上对流层中显示出不同的分布状态,根据海洋大气环境的特征,对海雾环境粒子分布进行分层划分,进而分析偏振光通过多层海雾环境后偏振度的变化规律。首先建立多层蒙特卡洛仿真模型,分析光子透过多层介质与粒子发生碰撞后的散射规律,并且基于环境湿度这一因素对介质粒子半径比和折射率的影响,对原模型进行修正,分析不同湿度对粒子物理特性的影响规律,同时对湿度增加与偏振度的关系进行了分析。然后设计并搭建了适用于光传输检测的多层海雾模拟系统,实现对海雾环境的分层复制模拟,并进行了450 nm、532 nm和671 nm可见光波段激光传输测试。仿真与测试结果表明,针对相同偏振态的不同入射光波长来说,671 nm波长的偏振度普遍高于450 nm和532 nm波长的偏振度,并且随着湿度的增加,波长越长的光的偏振度优势越明显;针对同一波长的不同偏振态来说,圆偏振光的偏振度普遍高于线偏振光的偏振度,并且随着湿度的增加,圆偏振光与线偏振光的偏振度差异将更为明显。最后对仿真结果与测试结果的一致性进行分析,两者的符合度普遍高于84%,说明在湿度较大的海雾环境中,较长波长的圆偏振光拥有更优异的保偏特性,更加适用于复杂海雾环境下的光信息传递。 展开更多
关键词 偏振传输 海雾模拟系统 多层蒙特卡洛 散射传输 环境湿度 偏振度
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Comparison Study Between Observation and Simulation for Sea Fog over the Yellow Sea in May 2009
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作者 FU Dan WANG Shuai +2 位作者 CHEN Delin PANG Huaji LI Pengyuan 《Journal of Ocean University of China》 SCIE CAS 2012年第3期290-300,共11页
In this paper, almost all available observational data and the latest 6.0 version of Regional Atmospheric Modeling System (RAMS) model were employed to investigate a heavy sea fog event occurring over the Yellow Sea f... In this paper, almost all available observational data and the latest 6.0 version of Regional Atmospheric Modeling System (RAMS) model were employed to investigate a heavy sea fog event occurring over the Yellow Sea from 2 to 5 May 2009. The evolutionary process of this event was documented by using Multifunctional Transport Satellites-1 (MTSAT-1) visible satellite imagery. The synoptic situation, sounding profiles at two selected stations were analyzed. The difference between the air temperature and sea surface temperature during the sea fog event over the entire sea region was also analyzed. In order to better understand this event, an RAMS modeling with a 15 km×15 km resolution was performed. The model successfully reproduced the main characteristics of this sea fog event. The simulated height of fog top and the area of lower atmospheric visibility derived from the RAMS modeling results showed good agreement with the sea fog area identified from the satellite imagery. Examinations of both observational data and RAMS modeling results suggested that advection cooling seemed to play an important role in the formation of this sea fog event. 展开更多
关键词 sea fog the Yellow Sea observational analysis numerical modeling
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