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

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Article Navigation > Acta Oceanologica Sinica > 2016 > 35(11): 97-104

HUANG Miaofen, XING Xufeng, SONG Qingjun, LIU Yang, DONG Wentong. A new algorithm of retrieving a petroleum substances absorption coefficient in sea water based on a remote sensing image[J]. Acta Oceanologica Sinica, 2016, 35(11): 97-104. doi: 10.1007/s13131-016-0952-4

Citation:

HUANG Miaofen, XING Xufeng, SONG Qingjun, LIU Yang, DONG Wentong. A new algorithm of retrieving a petroleum substances absorption coefficient in sea water based on a remote sensing image[J]. Acta Oceanologica Sinica, 2016, 35(11): 97-104. doi: 10.1007/s13131-016-0952-4

Citation:

HUANG Miaofen, XING Xufeng, SONG Qingjun, LIU Yang, DONG Wentong. A new algorithm of retrieving a petroleum substances absorption coefficient in sea water based on a remote sensing image[J]. Acta Oceanologica Sinica, 2016, 35(11): 97-104. doi: 10.1007/s13131-016-0952-4

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

doi: 10.1007/s13131-016-0952-4

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

Received Date: 2015-11-13
Rev Recd Date: 2016-01-11

Abstract

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

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References

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

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