Predicting Probable Number of Escherichia Coli from pH, Temperature and Turbidity to Indicate Water Quality in Gezira State, Sudan


  • Etigani Abdelgalil Water management and Irrigation Institute (WMII), University of Gezira, P.O Box 20,Wadmedani, Sudan
  • Ahmed Mohamedani National Blue Nile Institute of Communicable Diseases (NBNICD), University of Gezira P.O Box 20, Wadmedani, Sudan
  • Gafar Adam Water management and Irrigation Institute (WMII), University of Gezira, P.O Box 20,Wadmedani, Sudan


Prediction, Water quality, E. coli, Gezira state, Sudan


Predicting water quality is crucial for distinguishing safe and unsafe water in under-equipped laboratory settings, especially in developing countries. In this study, we utilized a linear regression model to predict the probable number of Escherichia coli (E. coli) based on water temperature, pH and turbidity. The analysis was conducted on 185 water samples collected from diverse sources such as surface water and groundwater in Gezira state, Sudan. The biological quality of the water was assessed using a compartmental bag test (CBT), with the possible number of E. coli serving as an indicator of water quality. The findings indicate that 58.3% of water sources are deemed safe, 16.8% categorized as intermediate risk/probably safe, 16.2 were probably unsafe and 22.2% are considered unsafe. The regression model effectively processed the measured values and demonstrated a high level of prediction accuracy. Furthermore, the turbidity significantly contributed to the prediction (p < .005).


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How to Cite

Etigani Abdelgalil, Ahmed Mohamedani, & Gafar Adam. (2024). Predicting Probable Number of Escherichia Coli from pH, Temperature and Turbidity to Indicate Water Quality in Gezira State, Sudan. International Journal of Applied Sciences: Current and Future Research Trends, 21(1), 1–12. Retrieved from