Monitoring Dissolved Oxygen Concentration (DOC) in Prawn Aquiculture Water Environment Based on Biological Behavior Characteristics

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Abstract:

Biological early warning system using physiological and behavioral responses of living organisms to water quality has been given much attention during past years. This study applied a digital video recording system to monitor prawn behavior under different water quality parameters. Three groups of prawn were used for calibration set while one group was for the validation of calibration results. A special water container was built for this experiment. The targeted water quality parameters, e.g. water salinity, pH and dissolved oxygen concentration (DOC), were adjusted by adding different chemicals in the water container. The calibration result shows that water salinity and pH have no significant impact on prawn behavior while changing DOC in water makes great influence on moving speed of prawns. When DOC is above 3.0 mg/l, prawns move about 80 pixels/s; when DOC is between 2.6 and 1.74 mg/l, prawns move at 120 pixels/s; and when DOC is below 1.2 mg/l, prawns move up to 1000-1200 pixels/s. The validation set of prawns under changing DOC from 1.82 to 0.54 mg/l confirms the calibration results. This proposed method is worthy of being further investigated for practically monitoring aquiculture environment.

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[1] H.B. Glasgow, J.M. Burkholder, R.E. Reed, A.J. Lewitus, J.E. Kleinman, Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies, Journal of Experimental Marine Biology and Ecology. 300(2004).

DOI: 10.1016/j.jembe.2004.02.022

Google Scholar

[2] N. Li, R. Wang, J. Zhang, Z. Fu and X. Zhang, Developing a knowledge-based early warning system for fish disease/health via water quality management, Expert Systems with Applications. 36(2009)6500-6511.

DOI: 10.1016/j.eswa.2008.07.065

Google Scholar

[3] M.V. Storey, B. van der Gaag, B.P. Burns, Advances in on-line drinking water quality monitoring and early warning systems, Water Research. 45(2011)741-747.

DOI: 10.1016/j.watres.2010.08.049

Google Scholar

[4] M. Thomas, A. Florion, D. Chretien, D. Terver, Real-time biomonitoring of water contamination by cyanide based on analysis of the continuous electric signal emitted by a tropical fishL Apteronotus albifrons, Water Research. 30(1996)3083-3091.

DOI: 10.1016/s0043-1354(96)00190-x

Google Scholar

[5] W.H. van der Schalie, T.R. Shedd, P.L. Knechtges, M.W. Widder, Using higher organisms in biological early warning systems for real-time toxicity detection. Biosensors and Bioelectronics. 16(2001)457-465.

DOI: 10.1016/s0956-5663(01)00160-9

Google Scholar

[6] K. Lzydorczyk, C. Carpentier, J. Mrowczynski, A. Wagennvoort, T. Jurczak, M. Tarczynska, Establishment of an alert level framework for cyanbacteria in drinking water resources by using the algae online analyzer for monitoring cyanobacterial chlorophyll a, Water Research. 43(2009).

DOI: 10.1016/j.watres.2008.11.048

Google Scholar

[7] J.H.W. Lee, I.J. Hodgkiss, K.T.M. Wong, I.H.Y. Lam, Real time observation of coastal algal blooms by an early warning system, Estuarine, Coastal and Shelf Science. 65(2005)172-190.

DOI: 10.1016/j.ecss.2005.06.005

Google Scholar

[8] H. Tahedl and D. Hader. Fast examination of water quality using the automatic biotest ECOTOX based on the movement behavior of a freshwater flagellate, Water Research. 33(1999)426-432.

DOI: 10.1016/s0043-1354(98)00224-3

Google Scholar

[9] J. Jeon, J.H. Kim, B.C. Lee, S.D. Kim, Development of a new biomonitoring method to detect the abnormal activity of Daphnia magna using automated Grid Counter device, Science of The Total Environment. 389(2008)545-556.

DOI: 10.1016/j.scitotenv.2007.09.015

Google Scholar

[10] J. Kim S. Kato, K. Takeuchi, T. Tatsuma, I.J. Kang, Evaluation on potential for assessing indoor formaldehyde using biosensor system based on swimming behavior of Japanese medaka (oryzias latipes), Building and Environment. 46 (2011)849-854.

DOI: 10.1016/j.buildenv.2010.10.014

Google Scholar