Dynamic Change Characteristics and Its Dominant Influencing Factors of Secchi Disk Depth in Coastal and Inland Waters

Jia Houlei; Su Wen; Huang Huamei; Sun Qingyang; Jiang Guangjia; Ma Ronghua

doi:10.3788/AOS201838.0301001

Acta Optica Sinica, Volume. 38, Issue 3, 301001(2018)

Dynamic Change Characteristics and Its Dominant Influencing Factors of Secchi Disk Depth in Coastal and Inland Waters

Jia Houlei¹, Su Wen¹, Huang Huamei¹, Sun Qingyang¹, Jiang Guangjia^2、*, and Ma Ronghua³

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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Figures & Tables(15)

Fig. 1. Investigated waters and sample point distributions. (a) Taihu Lake; (b) Poyang Lake; (c) Pearl River Estuary; (d) Daya Bay

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Fig. 2. Quasi-synchronization sample point distribution of remote sensing data from VIIRS satellite

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Fig. 3. (a) Influence of Secchi disk depth on remote sensing reflection spectra of waters; (b) SD_H

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Fig. 4. Relationship between Secchi disk depth and SD_H

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Fig. 5. Relationship between measured and calculated Secchi disk depth

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Fig. 6. Comparison of Secchi disk depth remote sensing evaluation models. (a) Single-band model; (b) band ratio model; (c) three-band model; (d) QAA and SD_H model

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Fig. 7. (a) Comparison of measured and satellite-derived remote sensing reflectance ratio Rrs ; (b) comparison of remote sensing reflectance spectrum and satellite remote sensing image reflectance spectrum measured at quasi-synchronous sampling points; (c) comparison of satellite remote sensing image and measured SD_H

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Fig. 8. Spatial distributions of Secchi disk depth in Pearl River Estuary, Daya Bay, Taihu Lake, and Poyang Lake. (a) Satellite data evaluation results in Pearl River Estuary and Daya Bay (white represents cloud-shaded water, where the transparency is set to zero); (b) field monitoring data in Pearl River Estuary and Daya Bay; (c) satellite data evaluation result in Taihu Lake; (d) satellite data evaluation result in Poyang Lake

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Fig. 9. Correlation among Secchi disk depth of investigated waters, cTSS , cChla and aCDOM (440). (a) Pearl River Estuary; (b) Daya Bay; (c) Taihu Lake; (d) Poyang Lake

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Fig. 10. Correlation among Secchi disk depth of all sampling points, (a) cTSS , (b) cChla and (c) aCDOM (440)

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Fig. 11. Comparison of Secchi disk depth products between VIIRS and MODIS Aqua observations on 2014-01-03 in Pearl River Estuary. (a) VIIRS; (b) MODIS

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Table 1. Transparency remote sensing evaluation models

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Table 1. Transparency remote sensing evaluation models

Type	Model	Algorithm
Empirical model	Single-band model	D_SD = a+bR_rs (678)
	Band-ratio model	D_SD = a+b [ R_rs (488)/ R_rs (555)]
	Three-band model	D_SD = a+bR_rs (678)+ c [ R_rs (488)/ R_rs (555)]
Quasi-analytical model	QAA-based model	D_SD= $\begin{matrix} \frac{1}{2.5 \min [K_{d} (443,488,531,547,665)]} \end{matrix}$ ln $\begin{matrix} \frac{\|0.14 - R_{rs}^{tr}\|}{0.013} \end{matrix}$

Table 2. Calculation procedure of transparency remote sensing evaluation model based on QAA

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Table 2. Calculation procedure of transparency remote sensing evaluation model based on QAA

Step	Property	Expression
1	r_rs	r_rs = R_rs /(0.52+1.7 R_rs )
2	u ( λ ) = $\begin{matrix} \frac{b_{b} (λ)}{a (λ) + b_{b} (λ)} \end{matrix}$	u ( λ ) = $\begin{matrix} \frac{- g_{0} + (g_{0}^{2} + 4 g_{1} r_{rs})^{\frac{1}{2}}}{2 g_{1}} \end{matrix}$ , g₀ =0.089, g₁ =0.125
3	a (555)	a (555)= a_w (555) + $\begin{matrix} 10^{- 1.146 - 1.366 χ - 0.469 χ^{2}} \end{matrix}$ , χ= lg $\begin{matrix} \frac{r_{rs} (443) + r_{rs} (488)}{r_{rs} (555) + 5 \frac{r_{rs} (672)}{r_{rs} (488)} r_{rs} (672)} \end{matrix}$
4	b_bp (555)	b_bp (555)= $\begin{matrix} \frac{u (555) a (555)}{1 - u (555)} \end{matrix}$ -b_bw (555)
5	η	η =2 . 0 $\begin{matrix} \{1 - 1.2 \exp [- 0.9 \frac{r_{rs} (443)}{r_{rs} (555)}]\} \end{matrix}$
6	b_bp ( λ )	b_bp ( λ )= b_bp (555) $\begin{matrix} {(\frac{555}{λ})}^{η} \end{matrix}$
7	a ( λ )	a ( λ )= $\begin{matrix} \frac{[1 - u (λ)] [b_{bw} (λ) + b_{bp} (λ)]}{u (λ)} \end{matrix}$
8	k_d ( λ )	k_d ( λ )=(1 +m₀θ_s ) a ( λ ) + $\begin{matrix} [1 - γ \frac{b_{bw} (λ)}{b_{b} (λ)}] \end{matrix}$ m₁ {1 -m₂ exp[ -m₃a ( λ )]} b_b ( λ ), m₀ =0.005, m₁ =4.26, m₂ =0.52, m₃ =10.8, γ =0.265
9	S_D	S_D = $\begin{matrix} \frac{1}{2.5 \min [K_{d} (443,488,531,547,665)]} \end{matrix}$ ln $\begin{matrix} \frac{\|0.14 - R_{rs}^{tr}\|}{0.013} \end{matrix}$

Table 3. Sampling information and ecological parameter statistics of waters in Taihu Lake, Poyang Lake, Pearl River Estuary, and Daya Bay

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Table 3. Sampling information and ecological parameter statistics of waters in Taihu Lake, Poyang Lake, Pearl River Estuary, and Daya Bay

Investigated area	Sampling date	Waters	Site No.	$\begin{matrix} {S_{D}}_{} \end{matrix}$ /m	$\begin{matrix} {c_{TSS}}_{} \end{matrix}$ /(mg·L ^-1 )	$\begin{matrix} {c_{C h la}}_{} \end{matrix}$ /(μg·L ^-1 )	a_CDOM (440) /m ^-1
Taihu Lake	2011-05-01—2011-05-08	Taihu Lake (2011-05)	51	0.25±0.11	48.31±37.16	23.17±64.93	1.41±1.04
Poyang Lake	2011-08-08—2011-08-10	Poyang Lake (2011-08)	38	0.22±0.12	108.97±100.63	6.53±7.54	1.67±0.94
Pearl River Estuary	2014-05-11—2014-05-13	Pearl River Estuary(2014-05)	23	0.84±0.44	25.45±18.53	2.01±1.20	0.55±0.27
Daya Bay	2014-05-15—2014-05-18	Daya Bay (2014-05)	27	2.41±1.28	21.97±5.58	4.92±1.55	0.26±0.18

Table 4. Comparison of water color band settings of VIIRS and MODIS

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Table 4. Comparison of water color band settings of VIIRS and MODIS

VIIRS				MODIS
Band	Central wavelength /nm	Wavelength range /nm	Spatial resolution /m	Band No.	Central wavelength /nm	Wavelength range /nm	Spatial resolution/m
M1	412	20	750	8	412	15	1000
M2	445	18	750	9	443	10	1000
M3	488	20	750	10	488	10	1000
M3	488	20	750	3	469	20	500
M4	555	20	750	12	551	10	1000
M4	555	20	750	4	555	20	500
I1	645	50	375	1	645	50	250
M5	672	20	750	13	667	10	1000
M6	751	15	750	15	748	10	1000
M7	865	39	750	16	870	15	1000
I2	865	39	375	2	859	36	250

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Jia Houlei, Su Wen, Huang Huamei, Sun Qingyang, Jiang Guangjia, Ma Ronghua. Dynamic Change Characteristics and Its Dominant Influencing Factors of Secchi Disk Depth in Coastal and Inland Waters[J]. Acta Optica Sinica, 2018, 38(3): 301001

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Paper Information

Category: Atmospheric Optics and Oceanic Optics

Received: Sep. 13, 2017

Accepted: --

Published Online: Mar. 20, 2018

The Author Email: Guangjia Jiang (gjjiang2011@gmail.com)

DOI:10.3788/AOS201838.0301001

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