Robot Boat Design For Real-Time Monitoring Of River Water Quality

As the population grows in big cities and watersheds, it will significantly impact river waters. One of the settlements located on the banks of the river Winongo is Ngampil village, Ngampil sub-district, Yogyakarta City. According to data from the Yogyakarta City Central Statistics Agency, the population of the Ngampil sub-district increased in 2018 to 18,591 inhabitants, from 2016 with 10,540 inhabitants, the Winongo River is used by the Ngampil residents for fish farming by making cages and also residents who use the Winongo River for activities environmental conservation. One effort to control water pollution is to monitor water quality consistently. The problem in this research is the absence of tools to monitor river water quality. Therefore, it is necessary to design an efficient monitoring tool to read water quality with a ph indicator in real-time using the hovercraft method through the internet of things method. Utilizing this robot boat tool can monitor river water quality using an automatic drive system and display the river water's pH indicator on the website. This research showed river water quality at 6:00 in the morning with a pH value of water 6.81 information Poor / Contaminated by Weight, daytime at 12.00 with a pH value of water 6.77 information Poor / Contaminated by Weight, and afternoon at 18.00 with a water ph value of 6.66 information Poor / Severely polluted.

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River Water Quality Robot Embedded with Real-Time Monitoring System: Design and Implementation

10.1109/icsgrc53186.2021.9515209 ◽

2021 ◽

Author(s):

Mohd Amirul Aizad M. Shahrani ◽

Safaa Najah Saud Al-Humairi ◽

Nurul Shahira Mohammad Puad ◽

Muhammad Asyraf Zulkipli

Keyword(s):

Water Quality ◽

System Design ◽

Real Time ◽

River Water ◽

Monitoring System ◽

River Water Quality ◽

Real Time Monitoring ◽

Design And Implementation

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Automatic River Water Quality Monitoring Using IOT

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.38722 ◽

2021 ◽

Vol 9 (10) ◽

pp. 1880-1882

Author(s):

Saheb Tabassum

Keyword(s):

Water Quality ◽

Real Time ◽

River Water ◽

Water Quality Monitoring ◽

River Water Quality ◽

Quality Monitoring ◽

Grab Sampling ◽

Quality Of Water ◽

Economical System ◽

Aquaculture Water

Abstract: One of the major problems in India is surface water pollution that is in Rivers. For the purpose of drinking, agriculture requirements and for industrial usage, an adequate amount of water quality has to be made sure and for maintaining the balance in aquaculture, water quality has to be monitored in real time. Deteriorated quality of water affects all well living beings. Traditional River water quality monitoring involves grab sampling, testing and analysis which is time consuming. In this project, determined attempts are made to design an economical system for real time monitoring of river water quality. Different physical and chemical parameters of the water are monitored using various water measuring sensor. The parameters such as temperature, hardness, dissolved oxygen; pH, turbidity and flow can be measured through sensors. The system can be enforced with Arduino model as a core controller. WI-FI module, Internet of things and GSM board can be used effectively to monitor the water quality and thereby relevant impacts for using river water safely. Keywords: 1. IOT, 2. GSM, 3. Sensors, 4. E.C.

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Real time control of the integrated urban wastewater system using simultaneously simulating surrogate models

Water Science & Technology ◽

10.2166/wst.2002.0066 ◽

2002 ◽

Vol 45 (3) ◽

pp. 109-116 ◽

Cited By ~ 23

Author(s):

J. Meirlaen ◽

J. Van Assel ◽

P. A. Vanrolleghem

Keyword(s):

Water Quality ◽

Real Time ◽

River Water ◽

Control Strategy ◽

Treatment Plant ◽

River Water Quality ◽

Urban Wastewater ◽

Real Time Control ◽

Time Control

The urban wastewater system (sewer and treatment plant) has a major impact on the river water quality of urban streams. To minimise this impact, real time control is a valuable option. Since the ultimate goal of any control strategy is to optimise the quality of the river system, it is useful to take pollutant immissions into account when determining the control strategy and/or the setpoints of the controller. However, a simultaneously simulating model of the complete system is needed in order to allow design and evaluation of such control strategies. In this work an integrated model of the urban wastewater system is created. This has been accomplished by implementing surrogate models of the three subsystems within a single software platform. The coupled submodels are subsequently used in a semi-hypothetical case study to optimise the resulting river water quality. An ammonia sensor in the river has been used to control the amount of water treated biologically in the treatment plant. It was shown that this integrated control could lower the peak ammonia concentration in the part of the river downstream of the treatment plant. Hence, a proof of principle has been given that the use of measurements in the river to perform control actions in the sewer system and the treatment plant is a promising option.

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