Real-time wastewater monitoring as tool to detect clandestine waste discharges into the sewage system

Hauser, Frank M.; Metzner, T.; Rößler, Thorsten; Pütz, Michael; Krause, Steffen

doi:10.1080/15275922.2019.1566295

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…They were used for detecting illicit discharges especially the presence of Escherichia coli. Hauser et al [15] have used pH, conductivity and chloride electrodes for detecting clandestine waste discharges. In these articles different parameter values were used for detecting the illicit discharge.…”

Section: Related Workmentioning

confidence: 99%

A WSN-based Monitoring System to Control Sewerage

Rocher

García-Navas

Romero

et al. 2019

2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)

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The sewerage is a critical infrastructure in cities because of the drainage of the urban runoff and the evacuation of the wastewater. Two types of sewerage, separated sewerage and combined sewerage, can be differentiated. In this paper, we show the application of a level sensor and a rain sensor for monitoring the separated sewerage. The level sensor is used for knowing if there is a critical level of water in the sewerage. The rain sensor is used to know if it is raining. The combination of this information allows the identification of three scenarios. These scenarios are normal situation, low drainage and illicit discharge/blockages in the pipeline. In addition, we study the use of sensors and mathematical models for monitoring the velocity of the wastewater. We concluded that the use of mathematical models is a good option for monitoring the velocity. Because with exception of the thermal sensors the other types of sensors show important gaps. The velocity is used to estimate the flow that is dumping in the water bodies. We use an ESP32 board program with Arduino IDE for data collection and sending the data to a server on the same network via Wi-Fi. The server is a computer that processes the data. We present the programming code and the ports that should be used for transmitting the data from Arduino to computer server.

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Section: Related Workmentioning

confidence: 99%

A WSN-based Monitoring System to Control Sewerage

Rocher

García-Navas

Romero

et al. 2019

2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)

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“…A very common problem encountered these days is the contamination of watercourse networks through various anthropogenic activities. To date, thousands of water pollution incidents caused by accident or illegal emissions have happened all around the world (Buras and Solano Donado, 2021;Capel et al, 1988;Chachuła et al, 2022;Cooper, 2014;Duan et al, 2013;Dura et al, 2007;Emke et al, 2018;Hauser et al, 2019;Ji et al, 2017;Jin et al, 2020;Olías et al, 2019;Rocher Morant, 2023;Zhang et al, 2011). A pollution incident involves the sudden discharge of a large amount of pollutant into water bodies, resulting in a rapid increase of pollutant concentration, especially in dry periods (Almikaeel et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Inverse task of pollution spreading – Localization of source in extensive open channel network structure

Velísková,

Sokáč,

Moghaddam

2023

Journal of Hydrology and Hydromechanics

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This paper is focused on the problem of the pollutant source localisation in streams in other words the solution of the inverse problem of pollution spreading with in an extensive open channel network structure, i.e. in a complex system of rivers, channels and creeks in natural catchments or sewer systems in urban catchments. The design of the overall localisation procedure is based on the requirement that the entire localization system be operative and fast enough to enable quick operative interventions and help prevent the spread of pollution. The proposed model, as well as, the overall localisation procedure was calibrated and tested on a real sewer system, which represents in this case an extensive open channel network structure with free surface flow. The test results are successful and confirmed applicability of proposed localization tool in simple real conditions. However, the localisation procedure has pros and cons, which are discussed in the paper.

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“…Usually, the parameter must be continuously observed, i.e., more than once every day. pH must be checked even after wastewater treatment to ensure it is safe to be released back into the environment [17], [18].…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Real Time pH Monitoring of University of Mindanao’s Chemical Laboratory Wastewater

Morales

Lawagon

2023

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Wastewater is a by-product of industrial and commercial facilities. If not treated, it could cause environmental and health problems. The proposed IoT-Based Real-Time pH Monitoring of wastewater can regulate the disposed waste through web browsers. The device has undergone several trials with wastewater from the chemical laboratory at different pH levels. It gave the signal to the solenoid motor to position either close when the pH level is more significant than pH 7.5 and less than pH 6.5 or open when the pH level is pH 6.5 to pH 7.5. The output's accuracy was measured using buffer solutions at different temperatures. It showed that the value of the pH level varied in temperature with significantly small changes. The system monitoring in the web browser captured the data every minute and saved it in a database for data comparison purposes. The device conformed to the Department of Environmental Natural Resources - Environmental Management Bureau (DENR-EMB) in the Philippines' standard permissible pH level (pH 6.0 to pH 9.0). Using an Arduino NANO microcontroller that served as a central processing unit and a Node MCU to connect the system to the internet, the equivalent output of an industrial pH meter was obtained, allowing the user to monitor the system at any time using a web browser.

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Real-time wastewater monitoring as tool to detect clandestine waste discharges into the sewage system

Cited by 8 publications

References 14 publications

A WSN-based Monitoring System to Control Sewerage

A WSN-based Monitoring System to Control Sewerage

Inverse task of pollution spreading – Localization of source in extensive open channel network structure

IoT-Based Real Time pH Monitoring of University of Mindanao’s Chemical Laboratory Wastewater

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