基于生物光学算法的海洋悬浮粒子检测技术研究

Oceanic suspended particles monitoring based on bio-optical algorithm

通过研究分析海水中几种主要物质的固有光学特性,提出了基于生物光学算法的机载蓝绿激光雷达检测海洋悬浮粒子的方法。针对海洋悬浮粒子的两类代表物质浮游植物和非色素悬浮粒子,采用生物光学算法,分别构建了基于机载蓝绿激光雷达的浮游植物叶绿素浓度检测模型和非色素悬浮粒子浓度的检测模型。仿真计算可以证明这两个检测模型能有效探测出浮游植物叶绿素浓度的大小和非色素悬浮粒子浓度,为实际海洋悬浮粒子的检测提供理论基础和技术支持。

By analyzing the optical properties of several important ocean medium,a new method for monitoring oceanic suspended particles is proposed.The method makes use of an airborne lidar and is based on a bio-optical algorithm.The detection model on the concentration of alga Chlorophyll-a and the concentration of suspended sands based on the bio-optical algorithm were proposed.By simulation and computation,it is proved that these two detection models can monitor the concentration of alga Chlorophyll-a and the concentration of suspended sands effectively and could predict the occurrence of red tide.Baed on these two models,oceanic suspended particles monitoring can be realized.