Comparative Water Quality Analysis in Beso River in District Jaunpur, Azamgarh and Ghazipur Uttar Pradesh
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2021.12.1.11Keywords:
ppm, significant data, site of sampling (S1, S2, S3), μ S/cm,Dimensions Badge
Issue
Section
The Beso River originates from village Shahapur in District Jaunpur and enters in District Azamgarh after Jaigaha and finally merges into river Ganga in District Ghazipur Uttar Pradesh. It flows south-eastward for almost 95 km only through three districts of eastern Uttar Pradesh. The sample has been collected from three sites indicated by S. S1 from Lakhmapur Jaunpur, S2 from Lalganj Azamgarh, and S3 from Jakhania Ghazipur. The sample has been collected five times i.e. in May, August, November, January, and March on the second Sunday of the month in the year 2020-2021. During tabulation of data five reading from each sample have taken and bio statistically analyzed by students T-test for all parameters for all times and only significant data have been considered. The mean value for the pH as 7.4 Ammoniac Nitrogen as 66.0 ppm, Temperature as 28.660C, B.O.D 235.33 C.O.D 271, Free CO2 260 ppm TDS as 543.33ppm, Cu 2.47 ppm, Iron Total as 2.09 ppm Zinc 6.46 ppm, Cr 3.58ppm, Phenolic Compounds as 5.36 ppm and Conductivity as 373.73 μ S/cm. have been measured by implication of different techniques. During the investigation, only Cu and total Iron values are measured lower to normal while other parameters reported high to normal values. Overall all physiochemical data indicate the water quality tends to be increased polluted as river move to Sangam from Ganga. Yet the water quality of Beso is many times better than River Sai and GomatiAbstract
How to Cite
Downloads
Similar Articles
- S. Udhaya Priya, M. Parveen, ETPPDMRL: A novel approach for prescriptive analytics of customer reviews via enhanced text parsing and reinforcement learning , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Kritika Gautam, Anitha Arvind, Neha Kapur, Mukesh Kumar, The keratometry changes pre and post-applanation tonometry , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Priscilla I, Jayasimman Lawrence, Enhanced Symmetric Cryptography Technique (ESCTGPU) for Secure Communication between the IoT Gateway and the public Cloud Environment , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Harsh Mineshbhai Shah, A literature-based analysis of studies in urban landscape concept , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- S. Ramkumar, K. Aanandha Saravanan, Martin Joel Rathnam, M. Revathy, Integration of AI and agent-based modeling for simulating human-ecological systems , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- V. Mahalakshmi, M. Manimekalai, Location Specific Paddy Yield Prediction using Monte Carlo Simulation incorporated Long Short-Term Memory , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- S. Deepa, I.S. Arafat, M. Sathya Priya, S. Saravanan, An improved spectrum sharing strategy evaluation over wireless network framework to perform error free communications , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Ayalew Ali, Determinants of banks profitability: Do capital structure and dividend policy matters? , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, Optimization of a Lean Vendor–Buyer Supply Chain Model under Neutrosophic Fuzzy Environment with Transportation, Loading, and Unloading Considerations , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A Fuzzy Supply Chain Model Evaluating Energy Management Systems under Imperfect Production and Uncertain Costs , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
<< < 24 25 26 27 28 29 30 31 32 33 > >>
You may also start an advanced similarity search for this article.

