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  Environmental Water Pollution Based Abrupt Event Monitoring - A Survey  
  Authors : Poonam Tidke; Shweta Mozarkar
  Cite as:


The importance of maintaining good water environment highlights the increasing need for advanced and good technologies. This paper presents a system that proposes a novel design of water environment monitoring system; the functions of remote detection and real-time monitoring of natural water are implemented through the Zigbee wireless data transmission technology. Water pollution monitoring based - the abrupt event monitoring is a challenging and critical issue in water environment systems. In this system, a novel abrupt event monitoring approach based on kernel principal component analysis (KPCA) and deep learning machine (DLM) mechanism is proposed. The system consists of wireless water quality monitoring network and remote data centre. The parameters involved in the water quality determination such as the pH level, temperature and turbidity is measured in the real time by the sensors that send the data to the base station or control/monitoring room. This system proposes how such monitoring system can be setup emphasizing on the aspects of low cost, easy installation and easy to handling and maintain. form is a necessary condition for its publication, as well as its content.


Published In : IJCSN Journal Volume 3, Issue 1

Date of Publication : 01 February 2014

Pages : 48 - 54

Figures : 02

Tables : --

Publication Link : IJCSN-2014/3-1/Environmental-Water-Pollution-Based-Abrupt-Event-Monitoring-A-Survey




Poonam S. Tidke : has received her B.E. degree in Computer Engineering from Smt. Radhikatai Pandav College of Engineering Nagpur, RTMNU University in 2011. She is pursuing M.Tech in Computer Science and Engineering from G.H.Raisoni Institute of Engineering and Technology for Women Nagpur. Her research interests include Wireless Sensor Networks.

Shweta Mozarkar : Assistant Professor in Department of Computer Science and Engineering @ G.H.Raisoni Institute of Engineering and Technology for Women Nagpur. She has pursued her M.Tech in Computer Science and Engineering from Shri Ramdeobaba College of Engineering and Management, Nagpur.








Wireless sensor network

Abrupt event

water environment system

kernel principal component analysis (KPCA) and deep learning machine (DLM)


In this paper wireless sensor network that has various advantages over traditional inspection method is being explained. Abrupt event based water pollution monitoring system based on wireless sensor network is the basic idea of this paper. Different water quality sensors can be installed on the node in order to meet the real-time monitoring for a wide range of water environment parameters. Sensor nodes based on Zigbee wireless technology are designed to suit with arbitrary parameter such as PH, temperature and turbidity. The low-consuming ZigBee-based wireless sensor network is becoming more and more popular, and has various advantages over other technologies. KPCA is used to detect the abrupt event and DLM is used to recognize the type of abrupt event in water monitoring system. This information can be further broadcasted to the environmental protection department and this can provide real-time guidance to those industries which depends on regional water quality conditions.










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