Community based seasonally water quality testing of tributaries of Dehradun
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.02Keywords:
Biological Oxygen Demand (BOD), Physio-chemical parameters, Turbidity, Water qualityDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The objective of the research was to assess the water quality of the Suswa river. Nine locations from the Suswa river of Dehradun were chosen for sampling. The research was carried out between 2020 and 2021. Physical and chemical parameters were analyzed by using different instruments. Turbidity (2-115 NTU), total dissolved solids (30-276 mg L-1), pH (7.58– 7.88), dissolved oxygen (6.04–10.32 mg L-1), hardness (124–198 mg L-1), alkalinity (40–84.6 mg L-1), nitrate (0.058–0.115 mg L-1), and phosphate (0.015–0.080 mg L-1) were among the significant parameters that were measured. The Suswa river water requires precautionary measures before use in order to prevent adverse health impacts on humans, as evidenced by the analysis of water samples obtained from several study locations around the study region. As a result, we need to keep an eye on the resources. Monitoring of the river’s geomorphic, environmental, and climatic changes should be done more often, and the results should be made public.Abstract
How to Cite
Downloads
Similar Articles
- Tassar Aniam, Sneha Kanade, A study on the inventory management of perishable products , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Nilay Shukla, Ketan Desai, Study on the right to education with special references to public private partnerships , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Rahul Singh, Sadguru Prakash, K. K. Ansari, EFFECT OF SODIUM FLUORIDE ON GROWTH AND DEVELOPMENT OF FINGERLINGS OF CATLA CATLA , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Nisha Patil, Archana Bhise, Rajesh K. Tiwari, Fusion deep learning with pre-post harvest quality management of grapes within the realm of supply chain management , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- V. Manibabu, M. Gomathy, Data Quality Management and Risk Assessment of Dairy Farming with Feed Behaviour Analysis Using Big Data Analytics with YOLOv5 Algorithm , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- S K Bairagi, Ram Chandra, R P Singh, Effect of Different Phosphorus and Potassium Levels on a Seed Crop of French Bean (Phaseolus vulgaris L.) , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Ahmed Mustefa, Validating the dairy marketing performance of Mizan-Aman town, Bench-Sheko zone, Ethiopia , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- P. Janavarthini, Dr. I. Antonitte Vinoline, Green inventory model for growing items with constraints under demand uncertainty , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Rimpi Manna, Anitha Arvind, Correlation between ocular surface disease index scores, tear film characteristics, and screen time usage among young adults , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Vaishali P. Kuralkar, Prabodh Khampariya, Shashikant M. Bakre, Study and analysis of the stochastic harmonic distortion caused by multiple converters in the power system (micro-grid) , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
<< < 6 7 8 9 10 11 12 13 14 15 > >>
You may also start an advanced similarity search for this article.

