scholarly journals An Efficient Method in Real Time for Water Quality Monitoring Using Internet of Things

2018 ◽  
Vol 7 (2.32) ◽  
pp. 170 ◽  
Author(s):  
K Bhagavan ◽  
R Vamsi Krishna ◽  
A Chandu Lakshmi Gangadhar ◽  
M Arun
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Internet Of Things ◽  
Water Quality Monitoring ◽  
Water Utilities ◽  
Quality Monitoring ◽  
Single Individual ◽  
Remote Areas ◽  
The World ◽  
Valuable Product

In this day and age, Internet of Things (IoT) and Remote Sensing (RS) procedures are being utilized as a part of various regions of research for observing, gathering and breaking down information from remote areas. Drinking water is a valuable product for every single individual as drinking water utilities confront a considerable measure of new difficulties progressively activity. These difficulties start in light of restricted water assets, developing populace, maturing foundation and so on in this way there is a requirement for better techniques to screen the water quality. Keeping in mind the end goal to guarantee the protected and providing of drinking water the quality ought to be checked progressively. In this paper we intend to present the arrangement and development of a minimal attempt framework for genuine observing of water quality in an IoT situation. The structure comprises of a few sensors which are utilized for estimating physical and substance parameters of water [1]. The frameworks, for example, temperature, pH, turbidity, conductivity, broke down oxygen of the water can be estimated. Utilizing this framework a man can recognize toxins from a water body from anyplace in the world. 

scholarly journals Linking water quality monitoring and climate-resilient water safety planning in two urban drinking water utilities in Ethiopia

2019 ◽  
Vol 17 (6) ◽  
pp. 989-1001
Author(s):  
Harold van den Berg ◽  
Bettina Rickert ◽  
Seada Ibrahim ◽  
Kasa Bekure ◽  
Hailu Gichile ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Drinking Water ◽  
Addis Ababa ◽  
Water Quality Monitoring ◽  
Water Utilities ◽  
Quality Monitoring ◽  
Guidance Document ◽  
Safety Planning ◽  
Water Safety

Abstract Unsafe drinking water is a recognized health threat in Ethiopia, and climate change, rapid population growth, urbanization and agricultural practices put intense pressure on availability and quality of water. Climate change-related health problems due to floods and waterborne diseases are increasing. With increasing insight into impacts of climate change and urbanization on water availability and quality and of required adaptations, a shift towards climate-resilient water safety planning was introduced into an Ethiopian strategy and guidance document to guarantee safe drinking water. Climate-resilient water safety planning was implemented in the urban water supplies of Addis Ababa and Adama, providing drinking water to 5 million and 500,000 people, respectively. Based on the risks identified with climate-resilient water safety planning, water quality monitoring can be optimized by prioritizing parameters and events which pose a higher risk for contaminating the drinking water. Water quality monitoring was improved at both drinking water utilities and at the Public Health Institute to provide relevant data used as input for climate-resilient water safety planning. By continuously linking water quality monitoring and climate-resilient water safety planning, utilization of information was optimized, and both approaches benefit from linking these activities.

scholarly journals An Open Source Water Quality Measurement System for Remote Areas

2021 ◽  
Vol 12 (1) ◽  
pp. 50
Author(s):  
Muhammad Owais Tariq ◽  
Asif Siddiq ◽  
Hafsa Irshad ◽  
Muhammad Aman ◽  
Muhammad Shahbaz Khan
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Monitoring System ◽  
Ph Value ◽  
Water Quality Monitoring ◽  
Ion Concentration ◽  
Quality Monitoring ◽  
World Health ◽  
Average Error ◽  
Remote Areas

The unavailability of safe drinking water leads to poor conditions related to mental and physical health. To quantify the quality of water, laboratories testing the water are present in major cities which assess the basic quality parameters of drinking water, e.g., total dissolved salts (TDS), ion concentration (conductivity), turbidity, and pH value as recommended by the World Health Organization (WHO). The unavailability of such testing laboratories at remote locations makes the testing of the drinking water difficult. Establishing such laboratories is a tedious job as it requires a lot of costly equipment and specially trained personnel to operate them, making them difficult to handle. To address these issues, a water quality monitoring system for remote areas was designed which is capable of measuring basic measurable qualities of salt concentration, ion concentration, turbidity, and pH value. With the utilization of such a system, the user can qualify the water present in the vicinity as safe or unsafe for drinking purposes. The results from the proposed system are evaluated based on standard testing results and it is found that our water quality monitoring system is in agreement with the standard lab results with an average error of 2.9%, 1.4%, 1.2%, and 1.2% for pH, turbidity, conductivity, and TDS, respectively.

scholarly journals Wired Sensor Systems for Water Quality Monitoring

2019 ◽  
Vol 8 (4) ◽  
pp. 847-852
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Dissolved Oxygen ◽  
Energy Saving ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Temperature Conductivity ◽  
Quality Of Water ◽  
The World

Water is an essential need and elixir of life. People all the world are fighting for their drinking water in order to keep it clean. No matter in what form it is rivers, lakes etc people have taken extreme measures to keep their water drinkable and useable for both humans and animals. Water is a significant characteristic asset without which no life can be envisioned. In any case, individuals misuse this real asset and cause wastage of water. We provide energy saving solution for monitoring the water quality. The proposed idea will build an IOT based sensor which monitors the pH, temperature, conductivity, dissolved oxygen, turbidity, bacteria, etc. present in the water collected. The sensors collect data and send it through a network. Then server will upload the data to the cloud. The remote water station will read the collected data and determine the quality of water. Henceforth, this application can be used on bigger scales, saves time and man-power.

Methodological Approaches to Organization of Drinking Water Quality Monitoring Programs

2020 ◽  
pp. 4-8
Author(s):  
Yu.A. Novikova ◽  
I.O. Myasnikov ◽  
A.A. Kovshov ◽  
N.A. Tikhonova ◽  
N.S. Bashketova
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Supply ◽  
Cold Water ◽  
Water Quality Monitoring ◽  
Drinking Water Quality ◽  
Quality Monitoring ◽  
Water Supply Systems ◽  
Monitoring Programs ◽  
Supply Systems

Summary. Introduction: Drinking water is one of the most important environmental factors sustaining life and determining human health. The goal of the Russian Federal Clean Water Project is to improve drinking water quality through upgrading of water treatment and supply systems using advanced technologies, including those developed by the military-industrial complex. The most informative and reliable sources of information for assessing drinking water quality are the results of systematic laboratory testing obtained within the framework of socio-hygienic monitoring (SGM) and production control carried out by water supply organizations. The objective of our study was to formulate approaches to organizing quality monitoring programs for centralized cold water supply systems. Materials and methods: We reviewed programs and results of drinking water quality laboratory tests performed by Rospotrebnadzor bodies and institutions within the framework of SGM in 2017–2018. Results: We established that drinking water quality monitoring in the constituent entities of the Russian Federation differs significantly in the number of monitoring points (566 in the Krasnoyarsk Krai vs 10 in Sevastopol) and measured indicators, especially sanitary and chemical ones (53 inorganic and organic substances in the Kemerovo Region vs one indicator in the Amur Region). Discussion: For a more complete and objective assessment of drinking water quality in centralized cold water supply systems, monitoring points should be organized at all stages of water supply with account for the coverage of the maximum number of people supplied with water from a particular network. Thus, the number of points in the distribution network should depend, inter alia, on the size of population served. In urban settlements with up to 10,000 inhabitants, for example, at least 4 points should be organized while in the cities with more than 3,000,000 inhabitants at least 80 points are necessary. We developed minimum mandatory lists of indicators and approaches to selecting priority indices to be monitored at all stages of drinking water supply.

scholarly journals Designing a Mobile Application for Pool Water Quality Monitoring Based on the Internet of Things

2021 ◽  
Vol 9 (1) ◽  
pp. 47-55
Author(s):  
Yohanes Anton Nugroho ◽  
Muhammad Fitra Pratama
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Fish Mortality ◽  
The Internet ◽  
Monitoring Equipment ◽  
Pool Water ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Changes in temperature, pH, and turbidity in concrete fish ponds greatly impact to the fish survival. Initial observations showed that among 3.067 fish seeds, 1.633 fish (53%) died and only 1.434 fish (47%) was successfully harvested. The application of water quality monitoring devices from concrete pools designed based on the Internet of Things technology has been tested. The monitoring equipment will not function optimally without an application that functions to receive monitoring data and then take action. Pool water quality monitoring equipment connected to the cloud using a GSM network connection. The recorded data is then displayed on the water quality monitoring application that designed using the Android operating system. Application design is developed using a User-Centered Design approach, where the design process was carried out by considering several variables: ease for use, clarity of information delivery, the fulfillment of needs, and appearance. Based on the results of the design evaluation, weaknesses can be determined, namely, difficulty to find the search menu for click history data, find the refresh button, read the results of searching for historical data, and read data in tables and graphs. Based on this, further improvements can be made to improve the application being made. The monitoring equipment is expected to provide information to pond managers to immediately take action if changing in pH and temperature beyond the limit so that the fish mortality rate can be minimized.

scholarly journals Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Prasad M. Pujar ◽  
Harish H. Kenchannavar ◽  
Raviraj M. Kulkarni ◽  
Umakant P. Kulkarni
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Real Time ◽  
River Basin ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Quality Analysis ◽  
Water Quality Analysis

AbstractIn this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

Monitoring and modelling mining impacts on water quality in Chindwin River Basin, Myanmar

2020 ◽  
Author(s):  
Thanapon Piman ◽  
Chayanis Krittasudthacheew ◽  
Shakthi K. Gunawardanaa ◽  
Sangam Shresthaa
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Drinking Water ◽  
Water Treatment ◽  
River Basin ◽  
Total Suspended Solid ◽  
Water Quality Monitoring ◽  
Suspended Solid ◽  
Quality Monitoring ◽  
Mining Activities

<p>The Chindwin River, a major tributary of the Ayeyarwady River in Myanmar, is approximately 850 km long with a watershed area of 115,300 km<sup>2</sup>. The Chindwin River is essential for local livelihoods, drinking water, ecosystems, navigation, agriculture, and industries such as logging and mining. Over the past two decades, Myanmar’s rapid economic development has resulted in drastic changes to socio-economic and ecological conditions in the basin. Water users in the basin reported that there is a rapid extension of gold and jade mining and they observed a noticeable decline in water quality along with increased sedimentation and turbidity. So far, however, Myanmar has not undertaken a comprehensive scientific study in the Chindwin River Basin to assess water quality and sources of water pollution and to effectively address issues of river basin degradation and concerns for public health and safety. This study aims to assess the status of water quality in the Chindwin River and the potential impact of mining activities on the water quality and loading through monitoring program and modeling approach. 17 locations in the upper, middle and lower parts of the Chindwin River Basin were selected for water quality monitoring. These sites are located near Homalin, Kalewa, Kani and Monywa townships where human activities and interventions could affect water quality. Water quality sampling and testing in the Chindwin River was conducted two times per year: in the dry season (May-June) and in the wet season (September-October) during 2015-2017. We monitored 21 parameters including heavy metals such as Lead (Pb), Mercury (Hg), Copper (Cu) and Iron (Fe). The observed values of Mercury in Uru River in the upper Chindwin River Basin which located nearby gold mining sites shown higher than the WHO drinking standard. This area also has high values of turbidity and Total Suspended Solid. The SHETRAN hydrological model, PHREEQC geochemical model and LOADEST model were used to quantify the heavy metal loads in the Uru River. Results from scenario analysis indicate an increase in Arsenic and Mercury load under increment of concentration due to expansions in mining areas. In both baseline and future climate conditions, the Uru downstream area shows the highest load effluent in both Arsenic and Mercury. These heavy metal loads will intensify the declining water quality condition in Chindwin River and can impact negatively on human health who use water for drinking. Therefore, we recommend that water quality monitoring should continue to provide scientific-evidence for decision-makers to manage water quality and mining activities properly.  Water treatment systems for drinking water are required to remove turbidity, Total Suspended Solid, and Mercury from raw water sources. Raising awareness of relevant stakeholders (local people, farmers, private sectors, etc.) is necessary as many people living in the Chindwin River Basin are using water directly from the river and other waterways without proper water treatment.</p>

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