Water quality parameter correlation in a controlled aquaculture environment

Abstract

Measurement accuracy is important in any field of study. This work presents the effect of water quality parameters with each other in a controlled aquaculture environment, which can be used to ensure data reliability. The water quality parameters that are considered are temperature, pH and flow rate. Experimentations were done using tap water to correlate the effect of change in temperature with pH, and the effect of varying flow rate with pH and temperature. The parameter correlation was computed using linear regression. Raspberry Pi was used as the system microcomputer that integrates all the parameters being investigated. Throughout the study, water level was maintained in a desired level, and was ensured by integrating a water level sensor into the system. The alternative hypothesis stated that pH and temperature have strong negative relationship with each other. Experiment results shown that pH has inversely proportional relationship with temperature. The null hypothesis stated that flow rate has no effect on water pH and temperature. External factors like water source also has an effect on parameter values changes.