Smart Water Quality Monitoring System for Distribution Networks

2019 ◽  
Author(s):  
Punit Khatri ◽  
Karunesh Kumar Gupta ◽  
Raj Kumar Gupta
Author(s):  
Kamalanathan Shanmugam ◽  
Muhammad Ehsan Rana ◽  
Roshenpal Singh Jaspal Singh

2015 ◽  
Vol 22 (7) ◽  
pp. 4893-4906 ◽  
Author(s):  
Jianhua Dong ◽  
Guoyin Wang ◽  
Huyong Yan ◽  
Ji Xu ◽  
Xuerui Zhang

Author(s):  
Shubham Srivastava

IoT based water quality parameter monitoring system is a significant interest in the field of cost-effective smart water quality monitoring systems. As we know that the population growth of your country is high in last few decades. In India, the demand for freshwater for drinking purposes, agriculture, and other activities is much higher than compared to other countries. The requirement of a smart water quality parameter monitoring system is necessary to reduce the time required in the traditional approach of water quality monitoring, and for real time monitoring. This literature survey work has been conducted in the field of smart water quality parameter monitoring systems. Sensor-based smart water quality parameter monitoring in past some research carried out which is deployed in the water.


IARJSET ◽  
2021 ◽  
Vol 8 (11) ◽  
Author(s):  
Shubham Srivastava ◽  
Anupam Verma ◽  
Dr. N k Saxena

2016 ◽  
Vol 17 (3) ◽  
pp. 811-824 ◽  
Author(s):  
Amin Abo-Monasar ◽  
Muhammad Al-Zahrani

Delivering water in sufficient quantity and acceptable quality is the main objective of water distribution networks (WDN) and at the same time is the main challenge. Many factors affect the delivery of water through distribution networks. Some of these factors are relevant to water quality, quantity and the condition of the infrastructure itself. The deterioration of water quality in the WDN leads to failure at the water quality level, which can be critical because it is closest to the point of delivery and there are virtually no safety barriers before consumption. Accordingly, developing a powerful monitoring system that takes into consideration water demand distribution, the vulnerability of the distribution system and the sensitivity of the population to the deterioration of water quality can be very beneficial and, more importantly, could save lives if there was any deterioration of water quality due to operational failure or cross-contamination events. In this paper, a framework for a water quality monitoring system that considers water demand distribution, the vulnerability of the system and the sensitivity of the population using fuzzy synthetic evaluation and optimization algorithms is developed. The proposed approach has been applied to develop a monitoring system for a real WDN in Saudi Arabia.


Author(s):  
Monira Mukta ◽  
Samia Islam ◽  
Surajit Das Barman ◽  
Ahmed Wasif Reza ◽  
M Saddam Hossain Khan

2019 ◽  
Vol 11 (24) ◽  
pp. 7110 ◽  
Author(s):  
K. A. Mamun ◽  
F. R. Islam ◽  
R. Haque ◽  
M. G. M. Khan ◽  
A. N. Prasad ◽  
...  

Over recent years, waters in and around Fiji has increasingly succumbed to a reasonable level of contamination. Water quality is defined with set of standards that clearly state the parameters of different properties in water. These standards are different at various geographic locations. The specific quantitative values of these parameters for the Fiji Islands are established by the Fiji National Drinking Water Quality Standards (FNDWQS). Fiji is geographically located in the vast Pacific Ocean, and requires a data collection framework for different water parameters to monitor water quality. The GIS framework system can effectively solve this continuously in real-time. With the end goal being to quantify different parameters; four (04) key performance indicators (KPI) are identified: Temperature, potential of hydrogen (pH), Oxidation Reduction Potential (ORP), and Conductivity. This paper presents a Smart Water Quality Monitoring System (SWQMS) which has been developed and deployed in five (05) Fijian locations (nodes) for the aforementioned KPIs measurement. The SWQMS interfaced with GIS and were powered using solar based Renewable Energy Source (REs). Finally, obtained data were tested and analyzed using statistical methods and verified comparing with the FNDWQS. The findings demonstrated that the system is capable of delivering an accurate and consistent measurement of water quality in real-time. Hence SWQMS could be a smart choice for various Pacific Island Countries (PICs) to use to monitor the water quality and in turn develop sustainable cities and societies.


Author(s):  
Varsha Lakshmikantha ◽  
Anjitha Hiriyannagowda ◽  
Akshay Manjunath ◽  
Aruna Patted ◽  
Jagadeesh Basavaiah ◽  
...  

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