Remote estimation of phycocyanin (PC) for inland waters coupled with YSI PC fluorescence probe

Environmental Science and Pollution Research

Volumn 20, Issue 8, 2013, Pages 5330-5340

  Song, Kaishan ^a,b   Li, Lin ^a   Tedesco, Lenore ^c   Clercin, Nicole ^a   Hall, Bob ^a   Li, Shuai ^a   Shi, Kun ^a   Liu, Dawei ^a   Sun, Ying ^a  

^a INDIANA UNIVERSITY   (United States)

^b NORTHEAST INSTITUTE OF GEOGRAPHY AND AGRICULTURAL ECOLOGY   (China)

^c Wetlands Institute   (United States)

Author keywords

Cyanobacteria; Hyperspectral; PC fluorescence probe; Three band model

Indexed keywords

DRINKING WATER; PHYCOCYANIN;

ALGAL BLOOM; CYANOBACTERIUM; DETECTION METHOD; DRINKING WATER; EARLY WARNING SYSTEM; ENVIRONMENTAL INDICATOR; EUTROPHICATION; FLUORESCENCE; PIGMENT; PROBE; PROTEIN; REMOTE SENSING; TOXIN; WATER QUALITY; WATER RESOURCE;

ARTICLE; AUSTRALIA; CHEMISTRY; ENVIRONMENTAL MONITORING; EQUIPMENT; FLUORESCENCE; METHODOLOGY; MICROBIOLOGY; REMOTE SENSING; RIVER; THEORETICAL MODEL; UNITED STATES; WATER POLLUTANT; WATER SUPPLY;

DRINKING WATER; ENVIRONMENTAL MONITORING; FLUORESCENCE; INDIANA; MODELS, THEORETICAL; PHYCOCYANIN; REMOTE SENSING TECHNOLOGY; RIVERS; SOUTH AUSTRALIA; WATER POLLUTANTS, CHEMICAL; WATER SUPPLY;

AUSTRALIA; INDIANA; SOUTH AUSTRALIA; UNITED STATES;

CYANOBACTERIA;

EID: 84880602204     PISSN: 09441344     EISSN: 16147499     Source Type: Journal    
DOI: 10.1007/s11356-013-1527-y     Document Type: Article

References (41)

1. Bastien C, Cardin R, Veilleux É, Deblois C, Warren A, Laurion I (2011) Performance evaluation of phycocyanin probes for the monitoring of cyanobacteria. J Environ Monit 13: 110-118.
2. Codd GA, Morrison LF, Metcalf JS (2005) Cyanobacterial toxins: risk management for health protection. Toxicol Appl Pharmacol 203: 264-272.
3. Dall'Olmo G, Gitelson AA (2005) Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: experimental results. Appl Opt 44: 412-422.
4. Dekker AG (1993) Detection of the optical water quality parameters for eutrophic waters by high resolution remote sensing. PhD thesis, Free University, Amsterdam, The Netherlands.
5. Dekker AG, Malthus TJ, Syhan E (1991) Quantitative modeling of inland water quality for high resolution MSS system. IEEE T Geosci Remote 29: 89-95.
6. Gitelson AA, Schalles JF, Hladik CM (2007) Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study. Remote Sens Environ 109: 464-472.
7. Gitelson AA, Dall'Olmo G, Moses W, Rundquist DC, Barrow T, Fisher TR, Gurlin D, Holz J (2008) A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: validation. Remote Sens Environ 112: 3582-3593.
8. Gitelson AA, Gurlin D, Moses WJ, Barrow T (2009) A bio-optical algorithm for the remote estimation of the chlorophyll-a concentration in case 2 waters. Environ Res Lett 4: 045003.
9. Guanter L, Ruiz-Verdú A, Odermatt D, Giardino C, Simis S, Estellés V, Heege T, Antonio J, Domínguez-Gómez MJ (2010) Atmospheric correction of ENVISAT/MERIS data over inland waters: validation for European lakes. Remote Sens Environ 114: 467-480.
10. Huisman J, Matthijs HCP, Visser PM (2005) Harmful cyanobacteria. Springer, Dordrecht, Netherlands.
11. Hunter PD, Tyler AN, Presing M, Kovacs AW, Preston T (2008) Spectral discrimination of phytoplankton colour groups: the effect of suspended particulate matter and sensor spectral resolution. Remote Sens Environ 112: 1527-1544.
12. Hunter PD, Tyler AN, Gilvear DJ, Willby NJ (2009) Using remote sensing to aid the assessment of human health risks from blooms of potentially-toxic cyanobacteria. Environ Sci Technol 43: 2627-2633.
13. Hunter PD, Tyler AN, Carvalho L, Codd GA, Maberly SC (2010) Hyperspectral remote sensing of cyanobacterial pigments as indicators for cell populations and toxins in eutrophic lakes. Remote Sens Environ 114: 2705-2718.
14. Kosten S, Huszar VM, Becares E, Costa LS, Donk EV, Hansson L, Jeppesen E, Kruk C, Lacerot G, Mazzeo N, Meester L, Moss B, Lurling M, Noges T, Romo S, Scheffer M (2012) Warmer climates boost cyanobacterial dominance in shallow lakes. Glob Chang Biol 18: 118-126.
15. Li L, Sengpiel RE, Pascual DL, Tedesco LP, Wilson JS, Soyeux E (2010) Using hyperspectral remote sensing to estimate chlorophyll-a and phycocyanin in a mesotrophic reservoir. Int J Remote Sens 31(15): 4147-4162.
16. Matthews MW, Bernard S, Winter K (2010) Remote sensing of cyanobacteria-dominant algal blooms and water quality parameters in Zeekoevlei, a small hypertrophic lake, using MERIS. Remote Sens Environ 114: 2070-2087.
17. McQuaid N, Zamyadi A, Prevost M, Bird DF, Dorner S (2011) Use of in vivo phycycyanin fluorescence to monitor potential microcystin-producing cynobacterial biovolume in a drinking water source. J Environ Monit 13: 455-463.
18. Mille DF, Baker MC, Tucker CD, Vinyard BT, Dionigi CP (1992) High resolution airborne remote sensing of bloom-forming phytoplankton. J Phycol 28: 281-290.
19. Moses WJ, Gitelson AA, Berdnikov S, Saprygin V, Povazhnyi V (2012) Operational MERIS-based NIR-red algorithms for estimating chlorophyll-a concentrations in coastal waters-the Azov Sea case study. Remote Sens Environ 121: 118-124.
20. Ntuli F, Kuipa PK, Muzenda E (2011) Designing of sampling programmes for industrial effluent monitoring. Environ Sci Pollut Res 18: 479-484.
21. Paerl HW, Fulton III RS (2006) Ecology of harmful cynobacteria. In: Graneli E, Turner J (eds.) Ecology of Harmful Marine Algae. Springer, Berlin, pp 95-107.
22. Paerl HW, Huisman J (2008) Climate-blooms like it hot. Science 320: 57-58.
23. Petaloti C, Voutsa D, Samara C, Sofoniou M, Stratis I, Kouimtzis T (2004) Nutrient dynamics in shallow lakes of Northern Greece. Environ Sci Pollut Res 11: 11-17.
24. Randolph K, Wilson J, Tedesco LP, Li L, Pascual DL, Soyeux E (2008) Hyperspectral remote sensing of cyanobacteria in turbid productive water using optically active pigments, chlorophyll a and phycocyanin. Remote Sens Environ 112: 4009-4019.
25. Ruiz-Verdú A, Simis SG, de Hoyos C, Gons HJ, Peña-Martinez R (2007) An evaluation of algorithms for the remote sensing of cyanobacterial biomass. Remote Sens Environ 112: 3996-4008.
26. Sarada R, Pillai MG, Ravishanker GA (1999) Phycocyanin from Spirulina sp.: influence of processing of biomass on phycocyanin yield, anaylsis of efficacy of extraction methods and stability studies on phycocyanin. Process Biochem 34: 795-801.
27. Schaeffer BA, Hagy JD, Conmy RN, Lehrter JC, Stumpf RP (2012) An approach to developing numeric water quality criteria for coastal waters using the SeaWiFS Satellite data record. Environ Sci Technol 46: 916-922.
28. Schalles JF, Yacobi YZ (2000) Remote detection and seasonal patterns of phycocyanin, carotenoid, and chlorophyll pigments in eutrophic waters. Arch Hydrobiol Spec Issues Adv Limnol 55: 153-168.
29. Schmidt S (2003) International standardization of water analysis basis for comparative assessment of water quality. Environ Sci Pollut Res 10(3): 183-187.
30. Simis GH, Peters SW, Gons HJ (2005) Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water. Limnol Oceanogr 50(11): 237-245.
31. Simis SG, Ruiz-Verdú A, Domínguez-Gómez AJ, Peña-Martinez R, Peters SW, Gons HJ (2007) Influence of phytoplankton pigment composition on remote sensing of cyanobacterial biomass. Remote Sens Environ 106: 414-427.
32. Song KS, Li L, Li S, Tedesco L, Li LH, Hall B (2012a) Hyperspectral remote sensing of total phosphorus (TP) in three central Indiana water supply reservoirs. Water Air Soil Pollut 223(4): 1481-1502.
33. Song KS, Li L, Li S, Tedesco L, Hall B, Li ZC (2012b) Hyperspectral retrieval of phycocyanin in potable water sources using genetic algorithm-partial least squares (GA-PLS) modeling. Int J Appl Earth Obs 18: 368-385.
34. Song KS, Li L, Tedesco LP, Li S, Clercin AN, Hall B, Li ZC, Shi K (2012c) Hyperspectral determination of eutrophication for a water supply source via genetic algorithm-partial least squares (GA-PLS) modeling. Sci Total Environ 426: 220-232.
35. Stumpf RP, Wynne TT, Baker DB, Fahnenstiel GL (2012) Interannual variability of cyanobacterial blooms in Lake Erie. PLoS One 7(8): e42444.
36. Sun J, Liu D (2003) Geometric models for calculating cell biovolume and surface area for phytoplankton. J Plankton Res 25: 1331-1346.
37. Tedesco L, Clercin N (2011) Algal ecology, cyanobecteria toxicity and secondary metabolites production of the three eutrophic drinking water supply and recreational use reservoirs in Central Indiana. 2010 Research Project Final Report, pp 25-29.
38. Vincent RK, Qin X, McKay RML, Miner J, Czajkowski K, Savino J, Bridgemanet T (2004) Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie. Remote Sens Environ 89: 381-392.
39. Wynne TT, Stumpf RP, Tomlinson M, Warner RA, Tester PA, Dyble JJ, Fahnenstiel GL (2008) Relating spectral shape to cyanobacterial blooms in the Laurentian Great Lakes. Int J Remote Sens 29(12): 3665-3672.
40. Wynne TT, Stumpf RP, Tomlinson MC, Dyble J (2010) Characterizing a cyanobacterial bloom in western Lake Erie using satellite imagery and meterological data. Limnol Oceanogr 55(5): 2025-2036.
41. Zamyadi A, McQuaid N, Prévost M, Dorner S (2012) Monitoring of potentially toxic cyanobacteria using an online multi-probe in drinking water sources. J. Environ Monit 14: 579-588.