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VOL. 9, ISSUE 1 (2024)
Assessment of physical and chemical parameters of the Murna river: Spatial variation in water quality across different sampling sites
Authors
Akshita Shrivastava, Sonali Shrivastava, Jagrati Chaturvedi, Samrah Rehan, Manisha Shukla
Abstract
This study evaluates the physical and chemical parameters (pH, Temperature, Turbidity, Suspended Solids, Total dissolved Solids (TDS), Electrical conductivity, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Alkalinity, Chloride, Calcium Hardness, Magnesium Hardness and Total Hardness) of the Murna River at three distinct sampling sites: Kalyanpur Shahdol (S1), MPEB Shahdol (S2), and Sohagpur Shahdol (S3). The analysis revealed significant variations in water quality across these sites. The pH was highest at S1 (more alkaline) and neutral at S2, indicating minimal anthropogenic influence, while S3 showed slightly acidic conditions. Chloride levels were significantly higher at S2 and S3, likely due to pollution. Turbidity peaked at S2, reflecting high suspended solids. Suspended solids were highest at S3 (50 mg/L) due to sediment accumulation and runoff, moderate at S2, and lowest at S1. Total solids followed a similar pattern, with maximum levels at S3 and minimum at S1. BOD was lowest at S1, indicating minimal organic pollution, and highest at S3, suggesting significant organic matter pollution. COD followed a similar trend, with lowest levels at S1 and highest at S3. Coliform bacteria were abundant at S3, indicating contamination, while S1 had negligible amounts. These findings highlight the varying degrees of pollution and mineral content in different sections of the Murna River, with S1 being relatively pristine and S3 showing significant pollution and mineral content, likely from anthropogenic and geological sources.
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Pages:13-18
How to cite this article:
Akshita Shrivastava, Sonali Shrivastava, Jagrati Chaturvedi, Samrah Rehan, Manisha Shukla "Assessment of physical and chemical parameters of the Murna river: Spatial variation in water quality across different sampling sites". International Journal of Advanced Science and Research, Vol 9, Issue 1, 2024, Pages 13-18
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