Please wait a minute...
Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front Earth Sci    2013, Vol. 7 Issue (4) : 522-530    https://doi.org/10.1007/s11707-013-0373-z
RESEARCH ARTICLE
Algae (Microcystis and Scenedesmus) absorption spectra and its application on Chlorophyll a retrieval
Di WU1(), Maosi CHEN2, Qiao WANG1, Wei GAO2,3
1. Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China; 2. USDA UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80521, USA; 3. Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80521, USA
 Download: PDF(418 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

Blue algae and green algae are the dominant phytoplankton groups that contribute to the eutrophication and the water bloom in inland water of China. The absorption coefficients (spectra) of the algae, which do not change with its intrinsic optical characteristics and the observation geometry, are strictly additive quantities. The characteristics of the absorption spectra of the two algae are presented. The pure blue algae and the pure green algae cultured in the laboratory environment are diluted and mixed at ten volume ratios. The Quantitative Filter Technique was applied to measure their absorption spectra. The “hot-ethanol extraction” method was chosen to calculate their concentration of Chlorophyll a. The retrieval algorithm developed in this study extracts the mapping information between each individual alga and their Chlorophyll a concentration via Continuous Wavelet Transform, and retrieves the Chlorophyll a concentration of each alga in their mixture using a trust region optimizer. The results show that the retrieved and the measured Chlorophyll a concentrations of the blue algae and the green algae components in the ten mixture match well with the average relative error of 5.55%.

Keywords algae      absorption coefficient spectra      Chlorophyll a      trust region      Continuous Wavelet Transform     
Corresponding Author(s): WU Di,Email:youye1984@163.com   
Issue Date: 05 December 2013
 Cite this article:   
Di WU,Maosi CHEN,Qiao WANG, et al. Algae (Microcystis and Scenedesmus) absorption spectra and its application on Chlorophyll a retrieval[J]. Front Earth Sci, 2013, 7(4): 522-530.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-013-0373-z
https://academic.hep.com.cn/fesci/EN/Y2013/V7/I4/522
Fig.1  Absorption coefficient spectra of the pure blue algae (a) and the pure green algae (b) at ten dilution levels, respectively.
Fig.2  Absorption coefficient spectra of the mixed algae at ten mixing ratios.
Fig.3  Displays the wavelet coefficient matrix of the absorption coefficient spectrum of the undiluted pure blue algae (a) and the undiluted pure green algae (b) in the dilution experiment. The points in the areas that are not covered by the translucent mask do not influenced by the edge effect and have good fitting results (>0.9995) between the Chlorophyll a concentrations of the ten dilution pairs and the corresponding wavelet coefficients.
Fig.4  An example shows that if the absorption coefficient spectra have the property of being additive (a+b=c), the corresponding wavelet coefficients also have such property with trace residuals.
Fig.5  Take 622 nm where the Phycocyanin absorption peaks as an example, illustrates the matching and adjusting processe of the absorption coefficient spectra of the mixed algae.
Fig.6  Gives the absorption coefficient ratio spectrum between the dilution experiment and the pure ones of the mixing experiment.
Fig.7  The scatter plots of the wavelet coefficients and the concentrations of Chlorophyll a for the blue algae (a) and the green algae (b) at two sample points in the wavelet matrixes (the first point: scale= 50, wavelength= 440 nm; the second point: scale= 35, wavelength= 650 nm). The red lines are the best spline curves for those scatter points.
Volume of the blue algae/mLVolume of the green algae/mLMeasured total Chlorophyll a/(mg·m-3)Retrieved Chlorophyll a of the blue algae /(mg·m-3)Retrieved Chlorophyll a of the green algae /(mg·m-3)Least square residualRetrieved total Chlorophyll a of the two algae /(mg·m-3)Relative error of retrieved total Chlorophyll a
200-310.150.0028.56310.15-
182295.93274.2022.817.75297.010.37%
164295.00263.0749.2639.48312.325.87%
146296.86225.5881.3028.63306.883.38%
128302.53199.58107.4732.85307.051.49%
1010318.06161.91151.3624.50313.281.50%
812341.05114.57185.6414.44300.2113.60%
614329.9288.79216.2230.13305.017.55%
416353.0861.14249.5824.69310.7212.00%
218346.5230.57301.444.14332.014.19%
020-0.00351.7512.92351.75-
Tab.1  Results of the Chlorophyll a retrieval in the ten mixed algae.
Fig.8  The measured absorption coefficient spectrum of the mixed algae (the volume ratio of its blue algae and its green algae is 10:10) and the retrieved absorption coefficient spectra of the blue algae, the green algae and their mixture.
1 Ahn Y, Shanmugam P, Ryu J, Jeong J (2006). Satellite detection of harmful algal bloom occurrences in Korean waters. Harmful Algae , 5(2): 213-231
doi: 10.1016/j.hal.2005.07.007
2 Bidigare R R, Ondrusek M E, Morrow J H, Kiefer D A (1990). In-vivo absorption properties of algal pigments. In: Proceedings of SPIE , Ocean Optics X, 1302: 290-302
3 Bricaud A, Bedhomme A L, Morel A (1988). Optical-properties of diverse phytoplanktonic species- experimental results and theoretical interpretation. J Plankton Res , 10(5): 851-873
doi: 10.1093/plankt/10.5.851
4 Chen Y, Chen K, Hu Y (2006). Discussion on possible error for phytoplankton Chlorophyll-a concentration analysis using hot-ethanol extraction method. Journal of Lake Sciences , 18(5): 550-552 (in Chinese)
5 Cleveland J S, Weidemann A D (1993). Quantifying absorption by aquatic particles: a multiple scattering correction for glass-fiber filter. Limnol Oceanogr , 38(6): 1321-1327
doi: 10.4319/lo.1993.38.6.1321
6 Coleman T F, Li Y (1994). On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds. Math Program , 67(1-3): 189-224
doi: 10.1007/BF01582221
7 Coleman T F, Li Y (1996). An interior, trust region approach for nonlinear minimization subject to bounds. SIAM J Optim , 6(2): 418-445
doi: 10.1137/0806023
8 Cullen J J, Ciotti A M, Davis R F, Lewis M R (1997). Optical detection and assessment of algal blooms. Limnol Oceanogr , 42(5_part_2): 1223-1239
doi: 10.4319/lo.1997.42.5_part_2.1223
9 Dennis J E Jr (1977). Nonlinear least squares and equations, In: Jacobs D, ed. The State of the Art in Numerical Analysis . New York: Academic Press
10 Jiang Y, Ding J, Zhang H (2001). Analysis of algae condition of Lake Tai. Jiangsu Environmental Science and Technology , 14(1): 30-31 (in Chinese)
11 Kirkpatrick G J, Millie D F, Moline M A, Schofield O (2000). Optical discrimination of a phytoplankton species in natural mixed populations. Limnol Oceanogr , 45(2): 467-471
doi: 10.4319/lo.2000.45.2.0467
12 Kutser T (2004). Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing. Limnol Oceanogr , 49(6): 2179-2189
doi: 10.4319/lo.2004.49.6.2179
13 Liu T, Kuang D, Yin Q (2002). The spectrum experiments of algae and studies on retrieval quantitative imformation from its spectra. J Infrared Millim Waves , 21(3): 213-217 (in Chinese)
14 Lorenzen C J (1967). Determination of chlorophyll and pheo-pigments: spectrophotometric equations. Limnol Oceanogr , 12(2): 343-346
doi: 10.4319/lo.1967.12.2.0343
15 Millie D F, Schofield O M, Kirkpatrick G J, Johnsen G, Tester P A, Vinyard B T (1997). Detection of harmful algal blooms using photopigments and absorption signatures: a case study of the Florida red tide dinoflagellate, Gymnodinium breve. Limnol Oceanogr , 42(5 part2): 1240-1251
16 Mitchell B G (1990). Algorithms for determining the absorption coefficient of aquatic particulates using the quantitative filter technique (QFT). Proc SPIE , 1302: 137-148
doi: 10.1117/12.21440
17 Moberg L, Karlberg B, S?rensen K, K?llqvist T (2002). Assessment of phytoplankton class abundance using absorption spectra and chemometrics. Talanta , 56(1): 153-160
doi: 10.1016/S0039-9140(01)00555-0 pmid:18968490
18 Roesler C S, Perry M J, Carder K L (1989). Modeling in situ phytoplankton absorption from total absorption spectra in productive inland marine waters. Limnol Oceanogr , 34(8): 1510-1523
doi: 10.4319/lo.1989.34.8.1510
19 Rowan K S (1989). Photosynthetic Pigments of Algae. Cambridge: Cambridge University Press
20 Schmid H, Bauer F, Stich H (1998). Determination of algal biomass with HPLC pigment analysis from lakes of different trophic state in comparison to microscopically measured biomass. J Plankton Res , 20(9): 1651-1661
doi: 10.1093/plankt/20.9.1651
21 Schofield O, Grzymski J, Bissett W P, Kirkpatrick G J, Millie D F, Moline M, Roesler C S (1999). Optical monitoring and forecasting systems for harmful algal blooms: possibility or pipe dream? J Phycol , 35(6): 1477-1496
doi: 10.1046/j.1529-8817.1999.3561477.x
22 Staehr P A, Cullen J J (2003). Detection of Karenia mikimotoi by spectral absorption signatures. J Plankton Res , 25(10): 1237-1249
doi: 10.1093/plankt/fbg083
23 Torrence C, Compo G P (1998). A practical guide to wavelet analysis. Bull Am Meteorol Soc , 79(1): 61-78
doi: 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
24 Wu W (2000). Eutrophication in Dianchi Lake and its Algae Resource. Yunnan Environmental Science , 19(1): 35-37 (in Chinese)
25 Yentsch C S, Menzel D W (1963). A method for the determination of phytoplankton chlorophyll and phaeophytin by fluoreseene. Deep-Sea Res , 10: 221-231
26 Zhang L (2007). Diversity analysis of algae in Chaohu Lake. J Biol , 24(6): 53-54, 72
27 Zhang Q, Wang L, Lei S, Zhu C, Wang X (2006). Characteristics of absorption spectra of phytoplankton. Spectroscopy and Spectral Analysis , 26(9): 1676-1680 (in hinese)
pmid:17112045
28 Zhang T, Du X, Xu Q, Qiu G (2009). Application of 1D wavelet analysis in detecting species of harmful algae blooms with absorption spectra of phytoplankton. Spectroscopy and Spectral Analysis , 29(10): 2743-2747 (in Chinese)
pmid:20038051
29 Zhao Q, Qin B (2008). Spectral absorption characteristics of algae and discrimination of the absorption spectrum of mixed algae. Acta Scientiae Circumstantiae , 28(2): 313-318
[1] R. K. MISHRA,R. K. NAIK,N. ANIL KUMAR. Adaptations of phytoplankton in the Indian Ocean sector of the Southern Ocean during austral summer of 1998---2014[J]. Front. Earth Sci., 2015, 9(4): 742-752.
[2] Yongbiao WANG, Zheng MENG, Wei LIAO, Zeting WENG, Hao YANG. Shallow marine ecosystem feedback to the Permian/Triassic mass extinction[J]. Front Earth Sci, 2011, 5(1): 14-22.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed