The relationship between dissolved oxygen, nitrate and temperature in aquaculture pond

Aquaculture is an important sector to food security, education and also to promote economy growth. In order to enhance the productivity, there is a need to understand the water physicochemical parameter. So, a study of water quality data analysis in aquaculture pond UMK Jeli had been carried out. This was to investigate Dissolved Oxygen (DO), Nitrate (NO32-) and temperature of aquaculture pond collected from the data collecting sensor, Aquasense. Another objective was to correlate of DO, NO32- and temperature. For a duration of forty-five days, every minute of data were sent for statistical analysis that include Independent T-test and Pearson Correlation, using SPSS version 20. Additionally, it was tabulated and analyzed daily and weekly. Moreover, the mean, standard deviation, minimum and maximum of each of the investigated parameters would be studied. Temperature reading obtain showed a relative divert result from the reality. Overall, the value of these three parameters were in an acceptable range and the water quality in this pond was considered good. Thus, it is suitable for the culture of living organisms in this pond. DO and NO32- (p<0.01) showed a maximum and negative correlation with r = -1 along the forty-five crop rearing days. The major contributing factor to this trend was the introducing of new freshwater that lead to constant water exchange, water circulation and water mixing. This study had some inadequacies where there are some grey areas that the author did not include or justify since there is still have many uncertainties and unknown factors that would affect the variation of water quality parameter at different condition. Apart of that, the sensor’s performance was good and yet there was still need some improvements. This study would be useful to any parties that used to monitor water quality by using new technology.