Real-Time Water Quality Assessment with Bayesian Belief Networks

2011 ◽  
Author(s):  
Steven Murray ◽  
Edward McBean ◽  
Mirnader Ghazali
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Real Time ◽  
Water Quality Assessment ◽  
Bayesian Belief Networks ◽  
Belief Networks

scholarly journals Development and Implementation of Water Quality Assessment Monitoring (WQAM) System using the Internet of Things (IoT) in Water Environment

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Muhammad Farhan Johan ◽  
◽  
Samihah Abdullah ◽  
Nor Shahanim Mohamad Hadis ◽  
Saodah Omar ◽  
...  
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Quality Assessment ◽  
Real Time ◽  
Technology Implementation ◽  
Water Quality Assessment ◽  
Water Quality Monitoring ◽  
Time Data ◽  
Cloud Server ◽  
Real Time Data

Water quality monitoring (WQM) system is widely being explored as it is needed to prevent the problem of water contamination worldwide. Nowadays, there are various studies on WQM system that are being integrated with Internet of Things (IoT) concept for Wireless Sensor Network (WSN) technology implementation to get real time data measurement. Traditional ways of collecting the data are more time consuming and they lack real time changes in the quality of water. This paper presents the development and implementation of Water Quality Assessment and Monitoring (WQAM) system. The system development used WiFi enabled microcontroller to connect with the IoT environment and store the data in the IoT cloud server. The microcontroller used is Arduino UNO that interacts with three types of sensor probes which are pH, turbidity and temperature probe. All the data measurements is transferred using a WiFi module which is ESP8266. The IoT cloud used to utilize the data frame is ThingSpeak. This system was implemented on Bandar Perda Lake and Derhaka River in Pulau Pinang with two systems implemented at each location. The sensors were placed on the water surface for more accurate measurements. This system continuously measures the readings of pH, turbidity dan temperature on the lake/river for every 1 hour. Twenty readings were taken for every 1 hour within the first 20 minutes with 1 minute interval and the readings were stored in the IoT cloud server. The readings are accessible via ThingSpeak GUI. In conclusion, this system would benefit the authorities to take advantage of using the WQAM system with the aid of the IoT that is less time consuming, less cost and more reliable in real time data reading.

scholarly journals Water Quality Assessment and Monitoring for River Malaprabha using the Internet of Things(IoT) system

2019 ◽  
Vol 8 (2) ◽  
pp. 3839-3844
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Real Time ◽  
Agricultural Waste ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Time Interval ◽  
Water Quality Data

Water Technology is a new approach for assessing water quality. Water technology is the method by which the water quality can be improved so as to accept the water for a specific use. In this paper, an IoT based water quality assessment has been carried out. The IoT system consists of electronic devices and associated sensors to capture water quality. Experimental samples for water quality check were chosen from, river Malaprabha. The water samples are collected from a water quality monitoring station near Khanapur town, Belagavi district, in the state of Karnataka, India. The water quality parameters assessed here are temperature, pH, Dissolved Oxygen (DO), Total Dissolved Solids (TDS), Biological Oxygen Demand (BOD), Conductivity and Nitrate (NO3). The proposed IoT system collects the real-time water quality data at every regular time interval. The need for real-time assessment is because, in recent years the water is getting polluted at an alarming level, due to urbanization and industrialization, that results in pollutions like an Urban waste, industrial waste, and agricultural waste, etc... disposed into water. Thus making, the use of water even harder for day-to-day anthropogenic activities. The IoT system developed can be used to monitor and assess the water quality parameters.

Surface Water Quality Assessment. Case Study: Târnava Mare River, Mediaș Town-Romania

2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Surface Water Quality ◽  
Water Quality Assessment

Modern State of Zooplankton and Water Quality Assessment in the Selenga River

2009 ◽  
Vol 45 (5) ◽  
pp. 3-14
Author(s):  
N. G. Sheveleva ◽  
I. V. Arov ◽  
Ye. A. Misharina
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Modern State ◽  
Selenga River
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