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Water Pollution Monitoring through Remote Sensing

Author(s):

Krishnamurthy Vallidevi*, Kannappan P. Gopinath , Krishnan K. Nagarajan, D. Gnana Prakash, G. Sudhamsu, S. Sudhish and Salma Ahmed Al-Zahrani   Pages 1 - 13 ( 13 )

Abstract:


Background: Water is undoubtedly a very precious resource that helps life thrive on this planet, and its pollution is a problem which is potent of erasing almost all forms of life on earth. Hence, considering the magnitude of this problem, studies and experiments have been focused (from the day water pollution was recognised as an eminent issue) on monitoring and finding possible solutions for water pollution. While the latter deals with treating and purifying water using a variety of concepts, monitoring deals with the continuous assessment of water quality of a waterbody.

Methodology: There are several methods for monitoring purposes, and remote sensing is a popular choice, thanks to its wide applicability and flexibility in implementation. Remote sensing basically deals with collecting data about a place (which is to be monitored) and sending the data to another ‘remote’ location for analysis. This article aims to provide a description of some methods employed in recent times for the purpose of remote sensing and a short section which deals with the analysis of the remotely sensed data using machine learning / deep learning models, hence making the reader aware of the concept of remote sensing and its scope for monitoring water pollution (or any form of pollution) in the future.

Conclusions: The detailed comparative analysis of these methods showed that sensor based water quality monitoring with Geographical Information System (GIS) will be more efficient in detection of water pollutants. The further research in this field may introduce many advancements to enable efficient water pollution detection techniques.

Keywords:

Remote Monitoring, Pollution, Water Quality, Machine Learning, Deep Learning, Sensors

Affiliation:

Department of Computer Science and Engineering, SSN College of Engineering, Anna University, Chennai, Department of Chemical Engineering, SSN College of Engineering, Anna University, Chennai, Department of Electronics and Communication Engineering, SSN College of Engineering, Anna University, Chennai, Department of Chemical Engineering, SSN College of Engineering, Anna University, Chennai, Department of Computer Science and Engineering, SSN College of Engineering, Anna University, Chennai, Department of Computer Science and Engineering, SSN College of Engineering, Anna University, Chennai, Department of Chemistry, College of Sciences, University of Hail, P.O. Box 2440, Hail 81451



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