Correlation and regression analysis of unionised ammonia ions, NH3 and pH in ornamental fish aquatic environment / Fatin Izyani Mohamad Robi ... [et al.]

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 (NH4+), 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.

Publication Details

Journal
UiTM Institutional Repositories (Universiti Teknologi MARA)
Published
2024-09-01
Primary Topic
Innovations in Aquaponics and Hydroponics Systems
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article
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Correlation and regression analysis of unionised ammonia ions, NH3 and pH in ornamental fish aquatic environment / Fatin Izyani Mohamad Robi ... [et al.]

UiTM Institutional Repositories (Universiti Teknologi MARA)
Innovations in Aquaponics and Hydroponics Systems
article

Correlation and regression analysis of unionised ammonia ions, NH3 and pH in ornamental fish aquatic environment / Fatin Izyani Mohamad Robi ... [et al.]

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 (NH4+), 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.

UiTM Institutional Repositories (Universiti Teknologi MARA)
Clean water and sanitation
Openalex Percentile: Top 36%
Innovations in Aquaponics and Hydroponics Systems
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Correlation and regression analysis of unionised ammonia ions, NH3 and pH in ornamental fish aquatic environment / Fatin Izyani Mohamad Robi ... [et al.] · UiTM Institutional Repositories (Universiti Teknologi MARA) (2024) | TGRS Research Map | TGRS