A new algorithm of retrieving a petroleum substances absorption coefficient in sea water based on a remote sensing image

HUANG Miaofen; XING Xufeng; SONG Qingjun; LIU Yang; DONG Wentong

doi:10.1007/s13131-016-0952-4

海水石油类物质吸收系数遥感化提取算法研究

doi: 10.1007/s13131-016-0952-4

1.
广东海洋大学数学与计算机学院, 湛江, 524088
2.
国家海洋局国家卫星海洋应用中心, 北京, 100081
3.
中国石油勘探开发研究院测井与遥感技术研究所, 北京, 100083

计量
- 文章访问数: 1229
- HTML全文浏览量: 70
- PDF下载量: 792
- 被引次数: 0
出版历程
- 收稿日期: 2015-11-13
- 修回日期: 2016-01-11

A new algorithm of retrieving a petroleum substances absorption coefficient in sea water based on a remote sensing image

1.
School of mathematics and computer, Guangdong Ocean University, Zhanjiang 524088, China
2.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China
3.
PetroChina Exploration and Development Research Institute, Beijing 100083, China

摘要

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a_w（λ）、浮游植物吸收系数a_ph（λ）、有色碎屑物吸收系数a_d，g（λ）和石油类物质吸收系数a_oil（λ）构成组成，其中有色碎屑物吸收系数a_d，g（λ）由非色素颗粒物（nonalgal particle，NAP）的吸收系数a_d（λ）和有色可溶性有机物质CDOM（colored dissolved organic matter）吸收系数a_g（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a_d，g（λ）应由a_d（λ）、a_g（λ）和a_oil（λ）三者混合构成[记为a_d，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a_oil（λ），面临的首要问题是如何从a_d，g，oil（λ）中将a_oil（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a_ph（λ）和a_d，g，oil（λ）；其次利用总颗粒物在555 nm处的后向散射系数b_bp（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b_bp（555）与非色素颗粒物的吸收系数a_d（λ）之间的关系模型，计算得到a_d（λ）；再者，结合a_g（440）的遥感提取算法，建立利用a_g（440）提取吸收系数光谱斜率S的遥感化方法，计算出a_g（λ）；最后用余项法提取a_oil（λ）。该算法提取的a_oil（λ）值与现场测定数据的比对精度为86%。
- 水体石油类 /
- 遥感技术 /
- 吸收系数 /
- 提取算法
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, a_o(λ)], consists of the absorption coefficient of pure water[ACPW, a_w(λ)], plankton[ACP, a_ph(λ)], colored scraps[ACCS, a_d,g(λ)], and petroleum substance[ACPS, a_oil(λ)]. Among those, ACCS consists of the absorption coefficient of nonalgal particle[ACNP, a_d (λ)] and colored dissolved organic matter[ACCDOM, a_g(λ)]. For waters containing petroleum, the retrieved ACCS using the existing method is a combination absorption coefficient of ACNP, ACCDOM and ACPA[CAC, a_d,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, b_bp(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 a_g(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.
- petroleum substances in sea water /
- remote sensing technology /
- absorption coefficient /
- retrieval algorithm

HTML全文

参考文献(29)

Bowers D G, Evans D, Thomas D N, et al. 2004. Interpreting the colour of an estuary. Estuarine, Coastal and Shelf Science, 59(1):13-20

Bricaud, A. 1981. Absorption by dissolved organic matter of the sea(yellow substance) in the UV and visible domains. Limnology and Oceanography, 26(1):43-53.

Chen Chuqun, Pan Zhilin, Shi Ping. 2003. Simulation of sea water reflectance and its application in retrieval of yellow substance by remote sensing data. Journal of Tropical Oveanography (in Chinese), 22(5):33-39

Duan Hongtao, Ma Ronghua, Kong Weijuan, et al. 2009. Optical properties of chromophoric dissolved organic matter in Lake Taihu. Journal of Lake Sciences (in Chinese), 21(2):242-247

Gordon H R, Brown O B, Evans R H, et al. 1988. A semianalytic radiance model of ocean color. Journal of Geophysical Research, 93(D9):10909-10924

Hirtle H, Rencz A. 2003. The relation between spectral reflectance and dissolved organic carbon in lake water:Kejimkujik National Park, Nova Scotia, Canada. International Journal of Remote Sensing, 24(5):953-967

Huang Miaofen, Song Qingjun, Chen Libo, et al. 2015a. Research on an inverse model of petroleum content in water bodies based on the normalized remote sensing reflectance. Journal of Ocean Technology, 34(1):1-9

Huang Miaofen, Song Qingjun, Mao Zhihua, et al. 2011. The retrieval model for COD in waters using optical absorption properties of CDOM. Haiyang Xuebao (in Chinese), 33(3):47-54

Huang Miaofen, Song Qingjun, Tang Junwu, et al. 2009. Analysis of backscattering properties of petroleum polluted water:a case study at the Liaohe River and the Raoyang River in Laoning Province, China. Haiyang Xuebao (in Chinese), 31(3):12-20

Huang Miaofen, Song Qingjun, Xing Xufeng et al. 2010a. An experimental study on the feasibility of monitoring petroleum-polluted waters with remote sensing technology. In:Proceedings of the Sixth International Symposium on Digital Earth:Data Processing and Applications. Beijing, China:SPIE, 7841:78411O

Huang Miaofen, Song Qingjun, Xing Xufeng, et al. 2014a. A biooptical model of retrieving petroleum concentration in seawater. Acta Oceanologica Sinica, 33(5):81-85

Huang Miaofen, Song Qingjun, Xing Xufeng, et al. 2014b. Analysis of fluorescence spectrum of petroleum-polluted water. Spectroscopy and Spectral Analysis (in Chinese), 34(9):2466-2471

Huang Miaofen, Tang Junwu, Song Qingjun. 2010b. Analysis of petroleum-polluted water absorption spectral properties. Journal of Remote Sensing (in Chinese), 14(1):131-147

Huang Miaofen, Wang Difeng, Xing Xufeng, et al. 2015b. The research on remote sensing mode of retrieving ag (440) in Zhujiang River Estuary and its application. Haiyang Xuebao (in Chinese), 37(7):66-77

Kowalczuk P, Olszewski J, Darecki M, et al. 2005. Empirical relationships between coloured dissolved organic matter (CDOM) absorption and apparent optical properties in Baltic Sea waters. International Journal of Remote Sensing, 26(2):345-370

Lee Z P, Carder K L, Arnone R A. 2002. Deriving inherent optical properties from water color:a multiband quasi-analytical algorithm for optically deep waters. Applied Optics, 41(27):5755-5772

Lee Z P, Carder K L, Hawes S K, et al. 1994. Model for the interpretation of hyperspectral remote-sensing reflectance. Applied Optics, 33(24):5721-5732

Lee Z P, Carder K L, Peacock T G, et al. 1996. Method to derive ocean absorption coefficients from remote-sensing reflectance. Applied Optics, 35(3):453-462

Mobley C D. 1994. Light and Water:Radiative Transfer in Nature Waters. San Diego:Academic Press, 592

Rochellc-Newall E J, Fisher T R. 2002. Chromophoric dissolved organic matter and dissolved organic carbon in Chesapeake Bay. Marine Chemistry, 77(1):23-41

Tang Junwu, Tian Guoliang, Wang Xiaoyong, et al. 2004. The methods of water spectra measurement and analysis:I. Above-water method. Journal of Remote Sensing (in Chinese), 8(1):37-44

Tiwari S P, Shanmugam P. 2011. An optical model for the remote sensing of coloured dissolved organic matter in coastal/ocean waters. Estuarine, Coastal and Shelf Science, 93(4):396-402

Twardowski M S, Boss E, Sullivanc J M. 2004. Modeling the spectral shape of absorption by chromophoric dissolved organic matter. Marine Chemistry, 89(1-4):69-88

Wang Fuli, Guo Weidong. 2010. Photodegradation of DOM in the Pearl River Estuary and the Beibu Gulf of the South China Sea in autumn. Acta Scientiae Circumstantiae (in Chinese), 30(3):606-613

Wang Xiaoyong, Li Tongji, Yang Anan, et al. 2004. Spring empirical models between apparent and inherent optical properties in the East China Sea and Yellow Sea. Ocean Technology (in Chinese), 23(4):123-126

Xie Fei, Guo Ziqi, Tian Ye, et al. 2015. Retrieving inherent optical properties of Lake Kuncheng based on quasi-analytical algorithm. Remote Sensing Technology and Application (in Chinese), 30(2):242-250

Zhou Botian, Liu Xiangnan, Wu Ling, et al. 2013. Retrieval model of colored dissolved organic matter concentration based on water color remote sensing in Hongkong waters. Marine Environmental Science (in Chinese), 32(1):115-119, 124

Zhou Hongli, Zhu Jianhua, Li Tongji, et al. 2005. The analysis of water color element absorb spectral characteristic in Qinghai Lake——Yellow substance, De-pigment particles and phytoplankton pigments. Ocean Technology (in Chinese), 24(2):55-58, 83

Zhu Weining, Yu Qian, Tian Y Q, et al. 2011. Estimation of chromophoric dissolved organic matter in the Mississippi and Atchafalaya river plume regions using above-surface hyperspectral remote sensing. Journal of Geophysical Research, 116(C2):C02011

施引文献

资源附件(0)

访问统计

点击查看大图

计量

文章访问数: 1229
HTML全文浏览量: 70
PDF下载量: 792
被引次数: 0

海水石油类物质吸收系数遥感化提取算法研究

doi: 10.1007/s13131-016-0952-4

计量

出版历程

A new algorithm of retrieving a petroleum substances absorption coefficient in sea water based on a remote sensing image

计量

出版历程

目录