scholarly journals Aquarium Water Quality Monitoring Based On Internet Of Things

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Bima Setya Kusumaraga ◽  
Syamsudduha Syahrorini ◽  
Dwi Hadidjaja ◽  
Izza Anshory
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Ph Value ◽  
Ph Sensor ◽  
Water Quality Monitoring ◽  
Water Turbidity ◽  
Water Conditions ◽  
Aquarium Water ◽  
Guppy Fish ◽  
The Ideal

Guppy fish is one type of ornamental fish that is widely kept in aquariums. Water temperature, water pH, and water turbidity are important factors for the life and development of guppy fish in an aquarium. The ideal water conditions for guppy fish in the aquarium are 23-27oC, a pH value of 6.5-7.5, and a water turbidity level of 0-25 NTU. To maintain ideal water conditions, research is needed to keep the aquarium water conditions stable. The research was conducted by experimenting using the NodeMCU platform as a microcontroller and the DS18B20 temperature sensor for sensing water temperature, a pH sensor 4502C, and a TDS sensor for sensing water turbidity. Testing is done by detecting the condition of the aquarium water with all sensors simultaneously to find out the water conditions in real time. The test results show that the tool designed is able to maintain water temperature at 23-27 oC, maintain pH values at 6.5-7.5, and water turbidity at 0-25 NTU. Thus the tool is able to maintain the ideal aquarium water quality for guppies.

scholarly journals A Smart Monitoring of a Water Quality Detector System

2018 ◽  
Vol 10 (3) ◽  
pp. 951 ◽  
Author(s):  
S. I. Samsudin ◽  
S. I. M. Salim ◽  
K. Osman ◽  
S. F. Sulaiman ◽  
M. I. A. Sabri
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Quality Level ◽  
Chemical Parameter ◽  
Water Parameters ◽  
Body Contact ◽  
Iot Platform ◽  
Water Conditions ◽  
Class Iib

The importance to monitor the water quality level is undeniable due to significant impact to human health and ecosystem. The project aims to develop a wireless water quality monitoring system that aids in continuous measurements of water conditions based on pH and turbidity measurements. These two sensors are connected to microprocessor and transmitted to the database by using a Wi-Fi module as a bridge. The developed system was successfully detect both the pH and turbidity values hence updating in IoT platform. Based on the results obtained, the test water sample can be classified to class IIB which is suitable for water recreational used body contact. Overall, the developed system offers fast and easy monitoring of pH and turbidity levels with IoT application for continuous maintenance of clean water. The work is just concern on the physical water parameters hence further extend to chemical parameter for verifying a better result in measuring the WQI value.

scholarly journals Impacts Assessment of Coastal Activities on Water Quality of Upper Segment of Qua Iboe River, Akwa Ibom State, South-South, Nigeria

2020 ◽  
Vol 24 (7) ◽  
pp. 1217-1222
Author(s):  
U.E. Jonah ◽  
E.S. Iwok ◽  
H.E. Hanson
Keyword(s):  
Water Quality ◽  
Impact Assessment ◽  
Water Temperature ◽  
Anthropogenic Activities ◽  
Water Quality Monitoring ◽  
Federal State ◽  
Human Consumption ◽  
Wet Season ◽  
Mean Values ◽  
Significant Difference

A study was carried out at the supper segment of Qua Iboe River from November, 2018 to August, 2019 in four sampling stations to assess the  impacts of coastal activities on water quality. Water samples were collected monthly and analyzed using standard procedures of Associations of Official Analytical Chemist and American Public Health Association. The stations comparisons and location of significant differences were carriedout using ANOVA and Least Significant Difference (LSD) test, while paired sample t-test were employed to compare the seasonal difference. The mean ranged values of water temperature were (25.03 – 25.330C), pH (5.8 –6.6 mg/l), DO(3.11 - 5.45 mg/l), TDS (18.63 – 32.53mg/l), EC  (8.33-13.16􀀁s/cm), Turbidity (7.61 – 18.32 NTU), TSS (90.80 - 165.63 mg/L), NO3 -1(33.02 – 78.33mg/l), P04 3-(4.44 – 7.39mg/l), Cl-(43.60 – 63.21mg/l), COD(35.96 – 113.05mg/l), NH3(0.33 – 0.62 mg/l). Mean values of TSS, EC, TSS, NO3, PO4 3-, NH3 and turbidity were higher in wet season, while water temperature, pH, DO, Cl- and COD values obtained were higher in dry season. Spatial variations in parameters were ascribed to levels of  anthropogenic activities and wastes discharged within the stations; the seasonal variations were emanated from influx of wastes, and dilution as result of surface run-offs during wet season. Based on the findings, the WQI values were poor for human consumption; especially from station 2 to4.These calls for urgent attention by Federal / State Ministry Health and Environment regards to its effects on human health and consistent water quality monitoring should be put into consideration. Keywords: Impact, Assessment, Coastal activities, Water Quality, Qua Iboe River Keywords: Impact, Assessment, Coastal activities, Water Quality, Qua Iboe River

scholarly journals Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction

2020 ◽  
Vol 12 (13) ◽  
pp. 5374 ◽  
Author(s):  
Stephen Stajkowski ◽  
Deepak Kumar ◽  
Pijush Samui ◽  
Hossein Bonakdari ◽  
Bahram Gharabaghi
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Temperature ◽  
Real Time ◽  
River Water ◽  
Time Window ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Lstm Network ◽  
River Water Temperature

Advances in establishing real-time river water quality monitoring networks combined with novel artificial intelligence techniques for more accurate forecasting is at the forefront of urban water management. The preservation and improvement of the quality of our impaired urban streams are at the core of the global challenge of ensuring water sustainability. This work adopted a genetic-algorithm (GA)-optimized long short-term memory (LSTM) technique to predict river water temperature (WT) as a key indicator of the health state of the aquatic habitat, where its modeling is crucial for effective urban water quality management. To our knowledge, this is the first attempt to adopt a GA-LSTM to predict the WT in urban rivers. In recent research trends, large volumes of real-time water quality data, including water temperature, conductivity, pH, and turbidity, are constantly being collected. Specifically, in the field of water quality management, this provides countless opportunities for understanding water quality impairment and forecasting, and to develop models for aquatic habitat assessment purposes. The main objective of this research was to develop a reliable and simple urban river water temperature forecasting tool using advanced machine learning methods that can be used in conjunction with a real-time network of water quality monitoring stations for proactive water quality management. We proposed a hybrid time series regression model for WT forecasting. This hybrid approach was applied to solve problems regarding the time window size and architectural factors (number of units) of the LSTM network. We have chosen an hourly water temperature record collected over 5 years as the input. Furthermore, to check its robustness, a recurrent neural network (RNN) was also tested as a benchmark model and the performances were compared. The experimental results revealed that the hybrid model of the GA-LSTM network outperformed the RNN and the basic problem of determining the optimal time window and number of units of the memory cell was solved. This research concluded that the GA-LSTM can be used as an advanced deep learning technique for time series analysis.

scholarly journals Ground and river water quality monitoring using a smartphone-based pH sensor

AIP Advances ◽  
2015 ◽  
Vol 5 (5) ◽  
pp. 057151 ◽  
Author(s):  
Sibasish Dutta ◽  
Dhrubajyoti Sarma ◽  
Pabitra Nath
Keyword(s):  
Water Quality ◽  
River Water ◽  
Ph Sensor ◽  
Water Quality Monitoring ◽  
River Water Quality ◽  
Quality Monitoring

scholarly journals FPGA Implementation of Smart Water Quality Monitoring System

2019 ◽  
Vol 8 (11) ◽  
pp. 3136-3139 ◽  
Keyword(s):  
Water Quality ◽  
Ph Sensor ◽  
Water Quality Monitoring ◽  
Vital Role ◽  
Reconfigurable Hardware ◽  
Quality Monitoring ◽  
Physical Parameters ◽  
Verilog Hdl ◽  
Smart Water ◽  
Hardware System

Water quality is important to our health and wellbeing .Water quality monitoring plays a vital role in keeping the planet healthy and sustainable. Due to increasing industrialization and environmental imbalance, water quality and fresh water quantity are decreasing day by day. In this paper, a reconfigurable hardware system is developed to monitor the water quality and physical parameters are monitored using temperature sensor and turbidity sensor; chemical parameters are monitored using pH sensor; in addition CO2 and water level sensors are used. These sensors are interfaced with the reconfigurable hardware i.e., FPGA. This FPGA is used to monitor the water related parameters such as water quality, waste water parameters and also used in agricultural fields. The hardware is implemented using Verilog HDL. Wireless Sensor Network enables interface between human and computer by means of wireless link. The output is displayed in the personal computer.

scholarly journals Advance Water Quality Monitoring System using Solar Power

2021 ◽  
Vol 9 (VI) ◽  
pp. 4136-4141
Author(s):  
Manas Gupta
Keyword(s):  
Water Quality ◽  
Cell Model ◽  
Low Cost ◽  
Ph Sensor ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Rating System ◽  
Low Power Consumption ◽  
Clean Water ◽  
Daunting Task

As of the growing environmental and water challenge, access to clean water is of paramount importance. Many methods are used of checking the water level with a low cost rating system. Monitoring water quality in various areas as a real application is recommended for low-level channel and sensory areas. Designing and implementing this solar cell model with WSN technology is a daunting task. Third PH sensor (SKU: SEN0169), Turbidity sensor connected to Arduino, GSM and LCD for communication and monitoring purposes. These sensors take measurements of the relevant parameters (PH, Turbidity, and Temperature) and send them to Arduino, where they are shown on the LCD. For monitoring reasons, estimated values are sent through GSM. The solar panel is used to power the system and independently provide a lead battery. This idea is useful when the grid is not available. The benefit of this system is low power consumption, no carbon emissions, which can be easily shipped to a remote location and so on.

scholarly journals Relevance Of Sensor And Chemical Technology In Water Quality Monitoring

2021 ◽  
Vol 12 (3) ◽  
pp. 3815-3818
Author(s):  
Richa Khare Et.al
Keyword(s):  
Water Quality ◽  
Distribution Systems ◽  
Water Distribution ◽  
Ph Value ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Chemical Methods ◽  
Common People ◽  
Value System ◽  
Low Concentrations

This paper is related to  the monitoring of water quality and others problem related to water distribution systems for common people. Our target is to develop such sensors and other chemical methods to calculate the exact value of different parameters related to water at A very low cost. In this paper, we present our studies about pH value, conductivity, temperature, turbidity, BOD and DO. The results of our experiments show that the minimum value system is efficient of monitoring these high impact contaminants at fairly low concentrations.

scholarly journals Water Quality Monitoring for Goldfish Aquarium using IoT

2020 ◽  
Vol 8 (6) ◽  
pp. 1176-1180
Keyword(s):  
Water Quality ◽  
Design Thinking ◽  
Electronic Device ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Highly Sensitive ◽  
Water Ph ◽  
Ph Level ◽  
The Internet Of Things ◽  
The Ideal

The goldfish is awell-known beautyful aquariumfish, butit is highly sensitive to the environment; thus, it demands lots ofcare and attention from the owner. The main purpose of this project is to assist the goldfish owners to monitor the pH level, turbidity and temperature using the Internet of Things (IoT). A productis developed based on the user-centric requirements, and the Design Thinking Model in five major phases of actions, namely empathise, define, ideate, prototype, and test. Controlled by acircuit board of Arduino WeMos D1 R32,the electronic device usesthree sensorsto monitor the conditions of the water-- pH, temperature and turbidity. Testing of thefunctionalities was performed successfully and yielded meaningful results. The input and output functions operated smoothlyaccording to the flow chart,and were indicated by LED;at the same time, notifications were sent to the Blynk application platform.The LCD screen displayed the real-time conditions of water quality in the aquarium;the data were used to maintain the ideal conditions of the water for the goldfish to live in.

Analysis and Solution on the Correlation between Dissolved Oxygen Sensor and pH Sensor for Water Quality Monitoring

2013 ◽  
Vol 411-414 ◽  
pp. 1445-1450
Author(s):  
Li Ya Liu ◽  
Dean Zhao ◽  
Yun Qin
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Real Time ◽  
Oxygen Sensor ◽  
Ph Sensor ◽  
Water Quality Monitoring ◽  
Low Noise ◽  
Small Error ◽  
On Line ◽  
Aquaculture Water

This paper designs a multi parameter real-time water quality on-line monitoring system for aquaculture water. This system achieves the online monitoring among temperature, turbidity, DO (dissolved oxygen), pH and electrical conductivity. The crosstalk, produced by the simultaneous measurement with DO and pH sensors, will affect accuracy and stability of monitoring results. This paper analyzes the source of crosstalk, describes a circuit model of causing crosstalk, and designs an isolated circuit between powers and signals as well. The experimental results show that, the real-time monitoring of DO and pH has the characteristics of speediness, high precision, small error and low noise.

scholarly journals Impact of Armored Shorelines on Shore-Zone Fish Density in a Mid-Atlantic, USA, Estuary: Modulation by Hypoxia and Temperature

2017 ◽  
Vol 41 (S1) ◽  
pp. 144-158 ◽  
Author(s):  
Richard G. Balouskus ◽  
Timothy E. Targett
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Water Temperature ◽  
Fish Species ◽  
Fundulus Heteroclitus ◽  
Fish Density ◽  
Estuarine Fish ◽  
Menidia Menidia ◽  
Shore Zone ◽  
Water Conditions

Abstract Anthropogenic modifications of estuarine environments, including shoreline hardening and corresponding alteration of water quality, are accelerating worldwide as human population increases in coastal regions. Estuarine fish species inhabiting temperate ecosystems are adapted to extreme variations in environmental conditions including water temperature, salinity, and dissolved oxygen across seasonal, daily, and hourly time scales. The present research utilized quantitative sampling to examine the spatiotemporal distribution of shore-zone estuarine fish species in association with four unique shoreline types across a range of water temperature and dissolved oxygen conditions. Fish were collected from the intertidal and shallow subtidal region of four shoreline types, Spartina alterniflora marsh, Phragmites australis marsh, riprap, and bulkhead, in the summer and fall of 2009 and 2010. Analyses were performed to (1) compare mean fish density among shoreline types across all water conditions and (2) explore relationships of the complete fish assemblage, three functional species groupings, and two fish species (Fundulus heteroclitus and Menidia menidia) to unique shoreline/water conditions. Significantly greater mean fish densities were found along S. alterniflora shorelines than armored shorelines. Several metrics including fish density, species richness, and occurrence rates suggest S. alterniflora shorelines may serve as a form of refuge habitat during periods of low dissolved oxygen and high temperatures for various species, particularly littoral-demersal species including F. heteroclitus. Potential mechanisms that could contribute to a habitat providing refuge during adverse water quality conditions include tempering of the adverse condition (decreased temperatures, increased dissolved oxygen), predation protection, and increased foraging opportunities.

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