基于浮标观测的东海赤潮高发区秋、冬季漫射衰减系数的反演

doi:10.11978/2019084

Abstract

Abstract:

The optical data measured by a buoy, with long time series and high temporal resolution, can be reliably used for obtaining the rapidly changing diffuse attenuation coefficient (K_d). The biomass of phytoplankton and the concentration of suspended sediment vary widely in the high-incidence red tide area of the East China Sea, resulting in complex changes in optical properties. In this article, the spectrum data collected by a marine optical buoy from September 2013 to January 2014 were used to obtain the apparent optical characteristics of the sea area, then an empirical algorithm of K_d(490) was established based on the correlation between K_d(490) and remote sensing reflectance (R_rs(λ)), and compared with seven kinds of existing algorithms. The results indicated that K_d(λ) and R_rs(λ) present significant features of class Ⅱ water body spectrum, K_d(490) varies from 0.01 m^-1 to 4.31 m^-1, and the turbidity also varies greatly. According to the good correlation of K_d(490) and R_rs band ratio, a dual-band ratio empirical algorithm was established, taking R_rs(650) / R_rs(510) and R_rs(555) / R_rs(510) as independent variables. New algorithm is superior to the other seven algorithms, the root mean square error, absolute percentage difference and coefficient of correlation coefficient are 0.27 m ^-1, 27.08 % and 0.77, respectively, between the new algorithm inversion K_d(490) and the measured values. The improvement of the accuracy of the algorithm is due to the fact that the R_rs selected by the new algorithm can fully reflect water body information and adapt to the changes of water composition in this sea area. This study provides a better choice for the inversion of the high-incidence red tide area in the East China Sea, and an example for the application of marine optical buoy in water environment monitoring.

Key words: high-frequency red tide area of the East China Sea, marine optical buoy, diffuse attenuation coefficient, remote sensing reflectance, inversion algorithm of K_d(490)

CLC Number:

P733.31

ZHANG Yu, WANG Guifen, XU Zhantang, Yang Yuezhong, ZHOU Wen, ZHENG Wendi, ZENG Kai, DENG Lin. Retrieval of diffuse attenuation coefficient in high frequency red tide area of the East China Sea based on buoy observation[J].Journal of Tropical Oceanography, 2020, 39(5): 71-83.

Figures/Tables 12

Fig.1

Fig.2

Tab.1

Inversion algorithms of Kd(490) established for different sea area water bodies"

算法ID	算法形式	算法来源
Mueller算法	${{K}_{\text{d}}}\left( 490 \right)=-0.814{{[\frac{{{R}_{\text{rs}}}(490)}{{{R}_{\text{rs}}}(555)}]}^{2.242}}+1.373$	Mueller等(1997)
王晓梅算法	${{K}_{\text{d}}}\left( 490 \right)={{10}^{\{-0.581\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 555 \right)}+1.414[{{R}_{\text{rs}}}\left( 670 \right)+{{R}_{\text{rs}}}\left( 555 \right)]+0.299\}}}$	王晓梅等(2005)
陈雨算法	${{K}_{\text{d}}}\left( 490 \right)={{10}^{[0.065\frac{{{R}_{\text{rs}}}\left( 590 \right)}{{{R}_{\text{rs}}}\left( 510 \right)}+0.968\frac{{{R}_{\text{rs}}}\left( 670 \right)}{{{R}_{\text{rs}}}\left( 510 \right)}-0.453]}}$	陈雨等(2014)
Wang算法	${{K}_{\text{d}}}\left( 490 \right)=-\frac{0.823\times {{10}^{-5}}}{{{R}_{\text{rs}}}\left( 488 \right)}+2.13\frac{{{R}_{\text{rs}}}\left( 667 \right)}{{{R}_{\text{rs}}}\left( 488 \right)}+0.982\left[ 0.99{{R}_{\text{rs}}}\left( 667 \right)-0.19 \right][1-0.276{{\text{e}}^{\frac{-16.293}{{{R}_{\text{rs}}}\left( 488 \right)}-65.461\frac{{{R}_{\text{rs}}}\left( 667 \right)}{{{R}_{\text{rs}}}\left( 488 \right)}}}]$	Wang等(2009)
Kratzer算法	${{K}_{\text{d}}}\left( 490 \right)={{\exp }^{[-0.888\times \ln (\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 620 \right)})+0.41]}}+0.022$	Kratzer等(2008)
Zhang&Fell算法	$\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 555 \right)}\ge 0.85{{K}_{\text{d}}}\left( 490 \right)={{10}^{\{76.22{{[\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 555 \right)}]}^{3}}-8.253{{[\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 555 \right)}]}^{2}}-2.935[\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 555 \right)}]-0.806\}+0.016}}$ $\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 555 \right)}0.85{{K}_{\text{d}}}\left( 490 \right)={{10}^{\{0.028{{[\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 665 \right)}]}^{3}}+0.649{{[\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 665 \right)}]}^{2}}-2.436[\frac{{{R}_{\text{rs}}}\left( 490 \right)}{{{R}_{\text{rs}}}\left( 665 \right)}]+0.853\}+0.016}}$	Zhang等(2007)
Tiwari 算法	${{K}_{\text{d}}}\left( 490 \right)=2.142\frac{{{R}_{\text{rs}}}(670)}{{{R}_{\text{rs}}}(490)}+0.189$	Tiwari等(2014)
本文算法	${{K}_{\text{d}}}\left( 490 \right)=2.351\frac{{{R}_{\text{rs}}}(650)}{{{R}_{\text{rs}}}(510)}-0.107\frac{{{R}_{\text{rs}}}(555)}{{{R}_{\text{rs}}}(510)}+0.146$	本文

Tab.1

Fig.3

Fig.4

Fig.5

Fig.6

Fig. 7

Fig.8

Fig.9

Tab. 2

Fig. 10

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算法	RMSE/ m^-1	MAPE/%	斜率	截距	R²	N	算法来源
Mueller算法	0.49	55.10	0.18	0.78	0.18	581	Mueller等(1997)
王晓梅算法	0.50	43.95	0.15	0.69	0.15	581	王晓梅等(2005)
陈雨算法	0.34	28.50	0.86	0.13	0.66	581	陈雨等(2014)
Wang算法	0.44	48.37	0.74	-0.14	0.79	581	Wang等(2009))
Kratzer算法	7.42	334.09	2.62	0.17	0.71	581	Kratzer等(2008)
Zhang&Fell算法	1.51	55.66	1.28	-0.34	0.84	581	Zhang等(2007)
Tiwari算法	0.31	28.13	0.70	0.28	0.68	581	Tiwari等(2014)
双比值算法	0.27	27.08	0.81	0.20	0.77	581	本文

Retrieval of diffuse attenuation coefficient in high frequency red tide area of the East China Sea based on buoy observation

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