| HUANG Miaofen,XING Xufeng,SONG Qingjun,LIU Yang,DONG Wentong. 2016. A new algorithm of retrieving a petroleum substances absorption coefficient in sea water based on a remote sensing image. Acta Oceanologica Sinica, 35(11):97－104 |
| A new algorithm of retrieving a petroleum substances absorption coefficient in sea water based on a remote sensing image |
| 海水石油类物质吸收系数遥感化提取算法研究 |
| Received:November 13, 2015 Revised:January 11, 2016 |
| DOI：10.1007/s13131-016-0952-4 |
| Key words:petroleum substances in sea water remote sensing technology absorption coefficient retrieval algorithm |
| 中文关键词: 水体石油类 遥感技术 吸收系数 提取算法 |
| 基金项目: |
| Author Name | Affiliation | E-mail | | HUANG Miaofen | School of mathematics and computer, Guangdong Ocean University, Zhanjiang 524088, China | hmf808@163.com | | XING Xufeng | School of mathematics and computer, Guangdong Ocean University, Zhanjiang 524088, China | | | SONG Qingjun | National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China | | | LIU Yang | PetroChina Exploration and Development Research Institute, Beijing 100083, China | | | DONG Wentong | PetroChina Exploration and Development Research Institute, Beijing 100083, China | |
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| Abstract: |
| Establishing the remote sensing algorithm of retrieving the absorption coefficient of seawater petroleum substances is an efficient way to improve the accuracy of retrieving a seawater petroleum concentration using a remote sensing technology. A remote sensing reflectance is a basic physical parameter in water color remote sensing. Apply it to directly retrieve the absorption coefficient of seawater petroleum substances is of potential advantage. The absorption coefficient of waters containing petroleum[ACWCP, ao(λ)], consists of the absorption coefficient of pure water[ACPW, aw(λ)], plankton[ACP, aph(λ)], colored scraps[ACCS, ad,g(λ)], and petroleum substance[ACPS, aoil(λ)]. Among those, ACCS consists of the absorption coefficient of nonalgal particle[ACNP, ad (λ)] and colored dissolved organic matter[ACCDOM, ag(λ)]. For waters containing petroleum, the retrieved ACCS using the existing method is a combination absorption coefficient of ACNP, ACCDOM and ACPA[CAC, ad,g,oil (λ)]. Therefore, the principle question is how to extract ACPS from CAC. Through the analysis of the three proportion tests conducted between the year of 2013 and 2015 and the corresponding remote sensing data, an algorithm of retrieving the absorption coefficient of petroleum substances is proposed based on remote sensing reflectance. First of all, ACPS and CAC are retrieved from the reflectance using the quasi-analytical algorithm (QAA), with some parameter modified. Secondly, given the fact that the backscatter coefficient[BC, bbp(555)] of total particles at 555 nm can be obtained completely from the reflectance, the relation between BC and ACNP in petroleum contaminated water can be established. As a result, ACNP can be calculated. Then, combining the remote sensing retrieving algorithm of ag(440), the method of achieving the spectral slope of the absorption coefficient can be established, from which ACCDOM, can be calculated. Finally, ACPS can be computed as the residual. The accuracy of ACPS based on this algorithm is 86% compared with the in situ measurements. |
| 中文摘要: |
| 建立海水石油类物质吸收系数遥感化提取算法，是提高海水石油类物质含量遥感反演精度的有效手段之一。遥感反射比是水色遥感能直接获取的基本物理量，利用其直接提取海水石油类物质吸收系数具有潜在的优势。含油水体的总吸收系数a（λ）是由纯水吸收系数aw（λ）、浮游植物吸收系数aph（λ）、有色碎屑物吸收系数ad，g（λ）和石油类物质吸收系数aoil（λ）构成组成，其中有色碎屑物吸收系数ad，g（λ）由非色素颗粒物（nonalgal particle，NAP）的吸收系数ad（λ）和有色可溶性有机物质CDOM（colored dissolved organic matter）吸收系数ag（λ）构成。现有利用遥感反射比反演水体吸收系数的算法中，对于含油水体而言，反演得到的ad，g（λ）应由ad（λ）、ag（λ）和aoil（λ）三者混合构成[记为ad，g，oil（λ）]，因而要利用遥感反射比提取海水石油类物质吸收系数aoil（λ），面临的首要问题是如何从ad，g，oil（λ）中将aoil（λ）从中分离出来。通过对2013年至2015年期间进行的3次配比试验及相对应的遥感数据分析，提出了一种基于遥感反射比反演水体石油类物质吸收系数的遥感化算法。首先利用QAA（quasi-analytical algorithm）算法，在修正一些参数的基础上，基于遥感反射比提取aph（λ）和ad，g，oil（λ）；其次利用总颗粒物在555 nm处的后向散射系数bbp（555）可完全由遥感反射比计算得到的优势，建立石油污染水体中bbp（555）与非色素颗粒物的吸收系数ad（λ）之间的关系模型，计算得到ad（λ）；再者，结合ag（440）的遥感提取算法，建立利用ag（440）提取吸收系数光谱斜率S的遥感化方法，计算出ag（λ）；最后用余项法提取aoil（λ）。该算法提取的aoil（λ）值与现场测定数据的比对精度为86%。 |
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