Shashank Gupta
- Student Department of Mechanical, Guru Gobind Singh Indraprastha University, Dwarka New Delhi India
Abstract
Assessing the quality of water is essential for preserving ecological balance and public health. This study evaluates new developments in analytical methods that are meant to improve the accuracy, effectiveness, and reach of water quality monitoring. While fundamental, conventional procedures like spectrophotometry and chromatography have drawbacks in terms of sensitivity and real-time capability. By allowing quick and precise pollutant and contaminant identification, emerging technologies such as sensor networks, remote sensing, molecular diagnostics, nanotechnology, and artificial intelligence are transforming the study of water quality. Case studies include examples of real-world implementations, such as satellite-based evaluation of huge water bodies and continual monitoring in urban water systems. These advances promise to boost international efforts towards sustainable water resource management and preservation, despite obstacles related to cost, data management, and uniformity.
Keywords: Sensor Technologies, Next Generation Sequencing, quality assessment, Solid phase extraction.
[This article belongs to International Journal of Environmental Noise and Pollution Control(ijenpc)]
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References
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| Volume | 02 |
| Issue | 01 |
| Received | June 17, 2024 |
| Accepted | June 25, 2024 |
| Published | July 15, 2024 |