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.
Highlights
Recent advances in communication and sensor technology have catalyzed progress in monitoring capabilities for water quality[1]
It was observed that water salinity changing from fresh water to normal sea water has no significant effect on prawn activity
The impact of changing PH from 5.0 to 9.5 on prawn behavior was unnoticeable. This may explain that the prawn species under investigation is widely cultivated due to its strong tolerance to aquiculture environment
Summary
Recent advances in communication and sensor technology have catalyzed progress in monitoring capabilities for water quality[1]. Many biological early warning systems (BEWS) have been developed in recent years that evaluate the physiological and behavioral responses of whole organisms to water quality. Thomas et al.[4] proposed an early warning system for monitoring the quality of water using the information conveyed by the continuous electric organ discharges of the tropical fish Apteronotus albifron. Tahedl and Hader[8] developed an early warning system called ECOTOX for monitoring the quality of water using different movement parameters of the motile unicellular flagellate Euglena gracilis as end points. Jeon et al.[9] developed a BEWS equipped with six monitoring channels to individually observe the activity of Daphnia magna, using a digital Grid Counter, which would trigger an alarm within an appropriate time, and examine the functional performance of the BEWS for detecting unusual water quality. Kim et al.[10] developed an
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
