Correlation and regression analysis of unionised ammonia ions, NH3and pH in ornamental fish aquatic environment

Assessing ammonia in water is very important for fish farmers as it is one of the pollutants that may affect the water quality. In water, ammonia can be found either in the form of unionised ammonia NH3 or ionised ammonia NH+4, which contribute to a total ammonia nitrogen (TAN). In assessing the ammonia toxicity, NH3 provides a more accurate measure of toxicity and needs to be monitored consistently, rather than relying solely on TAN. However, the method of measuring NH3 in water can be complex and challenging. Therefore, the ability to determine the correlation between NH3 and other parameter which is easier to be measured (such as pH) is crucial to enable the estimation of NH3. This study was conducted to determine the correlation between NH3 and pH based on the data collected from Redgold Aquatics ornamental fishponds located in Sik, Kedah. The pH was assessed by a commercial measuring device, while the NH3 was calculated using an appropriate mathematical equation that requires the data of pH, TAN, and temperature. The correlation and regression analysis were conducted via the IBM SPSS tool and Microsoft Excel. The result shows that NH3 and pH are highly correlated with regression equation of NH3 = 0.01pH – 0.07. In addition, factors that may affect the total ammonia value have been discussed thoroughly in this work. The analysis of these water quality parameters may assist farmers in estimating the toxic ammonia, NH3 from the known water pH.

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Publication Details

Journal
ESTEEM Academic Journal
Published
2024-09-30
DOI
https://doi.org/10.24191/esteem.v20iseptember.1739.g1706
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

Correlation and regression analysis of unionised ammonia ions, NH3and pH in ornamental fish aquatic environment

Fatin Izyani Mohamad Robi, Mohd Suhaimi Sulaiman, Khairul Anuar Ishak, Mohamad Faizal Abd Rahman et al.
ESTEEM Academic Journal
Water Quality Monitoring Technologies
article

Correlation and regression analysis of unionised ammonia ions, NH3and pH in ornamental fish aquatic environment

Fatin Izyani Mohamad Robi, Mohd Suhaimi Sulaiman, Khairul Anuar Ishak, Mohamad Faizal Abd Rahman, Muhammad Ahmad, Nur Syafiqah Nadiah Mohd Zain
article en

Abstract

Assessing ammonia in water is very important for fish farmers as it is one of the pollutants that may affect the water quality. In water, ammonia can be found either in the form of unionised ammonia NH3 or ionised ammonia NH+4, which contribute to a total ammonia nitrogen (TAN). In assessing the ammonia toxicity, NH3 provides a more accurate measure of toxicity and needs to be monitored consistently, rather than relying solely on TAN. However, the method of measuring NH3 in water can be complex and challenging. Therefore, the ability to determine the correlation between NH3 and other parameter which is easier to be measured (such as pH) is crucial to enable the estimation of NH3. This study was conducted to determine the correlation between NH3 and pH based on the data collected from Redgold Aquatics ornamental fishponds located in Sik, Kedah. The pH was assessed by a commercial measuring device, while the NH3 was calculated using an appropriate mathematical equation that requires the data of pH, TAN, and temperature. The correlation and regression analysis were conducted via the IBM SPSS tool and Microsoft Excel. The result shows that NH3 and pH are highly correlated with regression equation of NH3 = 0.01pH – 0.07. In addition, factors that may affect the total ammonia value have been discussed thoroughly in this work. The analysis of these water quality parameters may assist farmers in estimating the toxic ammonia, NH3 from the known water pH.

ESTEEM Academic JournalVol. 20(September)
Openalex Percentile: Top 83%
Water Quality Monitoring Technologies
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Correlation and regression analysis of unionised ammonia ions, NH3and pH in ornamental fish aquatic environment — Fatin Izyani Mohamad Robi, Mohd Suhaimi Sulaiman, et al. · ESTEEM Academic Journal (2024) | TGRS Research Map | TGRS