scholarly journals The rSPA Processes of River Water-quality Analysis System for Critical Contaminate Detection, Classification Multiple-water-quality-parameter Values and Real-time Notification

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Chalisa VEESOMMAI ◽  
Yasushi KIYOKI
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Quality Parameter ◽  
Quality Analysis ◽  
Water Quality Parameter ◽  
Water Quality Analysis ◽  
High Effect ◽  
Analysis System ◽  
Total Dissolved Solid ◽  
Very High

The water quality analysis is one of the most important aspects of designing environmental systems. It is necessary to realize detection and classification processes and systems for water quality analysis. The important direction is to lead to uncomplicated understanding for public utilization. This paper presents the river Sensing Processing Actuation processes (rSPA) for determination and classification of multiple-water- parameters in Chaophraya river. According to rSPA processes of multiple-water-quality-parameters, we find the pollutants of conductivity, salinity and total dissolved solid (TDS), which are accumulated from upstream to downstream. In several spots of the river, we have analyzed water quality in a maximum value of pollutants in term of oxidation-reduction potential (ORP). The first range effect of parameter is to express high to very high effects in term of dissolved oxygen, second is to express intermediate to very high effect in term of conductivity, third is to express low to very high effect in term of total dissolved solid, fourth is to express completely safe to very high effect in term of turbidity and the final is to express completely safe for effect in term of salinity.

scholarly journals Panjang Karapas dan Laju Pertumbuhan Spesifik Kepiting Bakau (Scylla serrata) yang diberi Jenis Pakan Berbeda di Area Ekowisata Kampung Kepiting, Bali

2017 ◽  
Vol 4 (1) ◽  
pp. 38
Author(s):  
Ni Desak Putu Ida Suryani ◽  
Pande Gde Sasmita Julyantoro ◽  
Ayu Putu Wiweka Krisna Dewi
Keyword(s):  
Water Quality ◽  
Mangrove Ecosystem ◽  
Quality Parameters ◽  
Quality Parameter ◽  
Scylla Serrata ◽  
Coastal Vegetation ◽  
Water Quality Parameter ◽  
Mud Crab ◽  
Different Types ◽  
Critical Components

Mangrove forest is tropical coastal vegetation that grow on muddy and sandy soils which affected by sea tides. One of important commercial species that live in mangrove ecosystem is the mud crab (Scylla serrata). Feed and water quality have been considered as critical components for supporting the growth both of weight and carapace length of this species. This study was conducted from January to February 2017 in the area of ??Ecotourism Kampung Kepiting, Bali. The influence of different natural feed such as Jerbung shrimp (Penaeus merguiensis), Mollusca, lemuru fish (Sardinella lemuru) and sea worms (Nereis sp.) on the growth performance of the mud crab were investigated. Water quality parameter data such as pH, DO, temperature, salinity and ammonium were also collected. The obtained data were analyzed by using variance analysis of Statistical Product and Service Solutions (SPSS) version 21. The result showed that the use of different types of feed have no effect on  the length of carapace, but it has significantly influence on  the specific growth rate of mud crab. Finally, different types of the given feeding were still resulted in the save range of water quality parameters for mud crab culture.

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.

scholarly journals Intelligent Wide-Area Water Quality Monitoring and Analysis System Exploiting Unmanned Surface Vehicles and Ensemble Learning

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 681 ◽  
Author(s):  
Huiru Cao ◽  
Zhongwei Guo ◽  
Shian Wang ◽  
Haixiu Cheng ◽  
Choujun Zhan
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Ensemble Learning ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Wide Area ◽  
Quality Analysis ◽  
Water Quality Analysis ◽  
Analysis Algorithm ◽  
Analysis System

Water environment pollution is an acute problem, especially in developing countries, so water quality monitoring is crucial for water protection. This paper presents an intelligent three-dimensional wide-area water quality monitoring and online analysis system. The proposed system is composed of an automatic cruise intelligent unmanned surface vehicle (USV), a water quality monitoring system (WQMS), and a water quality analysis algorithm. An automatic positioning cruising system is constructed for the USV. The WQMS consists of a series of low-power water quality detecting sensors and a lifting device that can collect the water quality monitoring data at different water depths. These data are analyzed by the proposed water quality analysis algorithm based on the ensemble learning method to estimate the water quality level. Then, a real experiment is conducted in a lake to verify the feasibility of the proposed design. The experimental results obtained in real application demonstrate good performance and feasibility of the proposed monitoring system.

scholarly journals Pemberian Perasan Buah Mengkudu (Morinda citrifolia) Untuk Pengendalian Argulus Pada Ikan Mas Komet (Carassius auratus auratus) [Giving Morinda Fruit Distilation (Morinda citrifolia) For Argulus Handling On Carrasius auratus auratus]

2019 ◽  
Vol 4 (1) ◽  
pp. 45
Author(s):  
Iqbal Ghazali, Kismiyati, Gunanti Mahasri
Keyword(s):  
Water Quality ◽  
Carassius Auratus ◽  
Quality Parameters ◽  
Quality Parameter ◽  
Morinda Citrifolia ◽  
Treatment Result ◽  
Water Quality Parameter ◽  
Randomized Design ◽  
Temperature Ranges ◽  
Completely Randomized Design

Abstract This study aims to determine the effect of giving Morinda fruit distilation for handling Argulus on Carrasius auratus auratus. The research method that used was experimentally with Completely Randomized Design (CRD) with five treatments and four replications. The used treatment are : medium with Morinda distilation mixed 0% (A), medium with Morinda distilation mixed 2,5% (B), medium with Morinda distilation mixed 3% (C), medium with Morinda distilation mixed 3,5% (D), medium with Morinda distilation mixed 4% (E). The results showed that giving Morinda fruit distillation on Carrasius auratus auratus which have Argulus infest significantly different (p <0.05) with the best treatment in D with six releasing Argulus and that fish can survive within 15 minutes dipping. The lowest treatment result in A (control) with nothing releasing Argulus. Water quality parameters are supporting this research. Supporting parameters measured during the study is the water temperature ranges 27° C, pH 7,5-8,5, DO 8 mg/L to 5 mg/L, and salinity from 0 to 3 ppt. Water quality parameter are still within tolerance limit for Carrasius auratus auratus

scholarly journals Developing a Novel Water Quality Prediction Model for a South African Aquaculture Farm

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1782
Author(s):  
Elias Eze ◽  
Sarah Halse ◽  
Tahmina Ajmal
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Prediction Model ◽  
Mean Square Error ◽  
Quality Parameters ◽  
Quality Parameter ◽  
Water Quality Parameter ◽  
The Novel ◽  
Mean Square ◽  
Hybrid Prediction

Providing an accurate prediction of water quality parameters for improved water quality management is a topical issue in the aquaculture industry. Conventional prediction methods have shown different challenges like a poor generalization, poor prediction accuracy, and high time complexity. Aiming at these challenges, a novel hybrid prediction model with ensemble empirical mode decomposition (EEMD) and deep learning (DL) long-short term memory (LSTM) neural network is proposed in this paper. In this innovative hybrid EEMD-DL-LSTM model, firstly, the integrity of the datasets is enhanced by applying moving average filtering and linear interpolation techniques of water quality parameter datasets pre-treatment. Secondly, the measured real sensor water quality parameters dataset is decomposed with the aid of the EEMD algorithm into disparate IMFs and a corresponding residual item. Thirdly, a multi-feature selection process is applied to make a careful selection of a strongly correlated group of IMFs with the measured real water quality parameter datasets and integrate them as inputs to the DL-LSTM neural network. The presented model is built on water quality sensor data collected from an Abalone farm in South Africa. The performance of the novel hybrid prediction model is validated by comparing the results against the real datasets. To measure the overall accuracy of the novel hybrid prediction model, different statistical indices, namely the Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE), are used.

scholarly journals Integration of sensors for dam water quality analysis – a prototype

2021 ◽  
Author(s):  
Lina Rose ◽  
X. Anitha Mary ◽  
C. Karthik
Keyword(s):  
Water Quality ◽  
Pure Water ◽  
Quality Parameters ◽  
Water Bodies ◽  
Quality Analysis ◽  
Quality Data ◽  
Major Portion ◽  
Water Quality Analysis ◽  
Water Quality Control ◽  
Water Quality Data

Abstract Water consumed is stored in several water bodies in and around us, out of which dams accommodate a major portion of water. The quantity and quality monitoring of water in Dams is troublesome due to its large surface area and high depths. Though groundwater resources are the primary water source in India, Dams plays a vital role in water distribution and storage network. Central Water Commission in India has identified more than 5,000 dams of which a major portion is persistently consumed by the rural and urban population for drinking and irrigation. The water quality of these reservoirs is of serious concern as it would not only affect the socio-economic status of the nation but the aquatic systems as well. Water quality control and management are vital for delivering clean water supply to the common society. Because of their size, collecting, assessing, and managing a vast volume of water quality data is critical. Water quality data is primarily obtained through manual field sampling; however, real-time sensor monitoring is increasingly being used for more efficient data collection. The literature depicts that the methodsinvolving remote sensing and image processing of water quality analysis consume time, require sample collection at various depths, analysis of collected samples, and manual interpretations. The objective of this study is to propose a novel cost-effective method to monitor water quality devoid of considerable human intervention. The sensor-based online monitoring aids in assessing the sample with limited technology, at various depths of water in the dam to analyze turbidity which gives the major indication of pure water. The quality analysis of the dam water is worthy if the water is assessed at the distribution end before consumption. Hence, to enhance the water management system, other quality parameters like pH, conductivity, temperature are sensed and monitored in the distribution pipeline. The unstable pH can alter the chemical and microbiological aspects of water resulting in a variation of other water quality parameters Temperature variations affect the amount of dissolved oxygen in the water bodies which results in unstable quality parameters. The change in dissolved solvents and the ionic concentration alters the electrical conductivity of the water and the increased concentration of salts also results in turbidity. The data from all the sensors are processed by the microcontroller, transmitted, and displayed in a mobile application comprehensible to the layman.

Smart water quality analysis system using datapine

2021 ◽  
pp. 453-459
Author(s):  
Vikas Tiwari ◽  
K.P. Sharma ◽  
Nonita Sharma ◽  
Prashant Kumar
Keyword(s):  
Water Quality ◽  
Quality Analysis ◽  
Water Quality Analysis ◽  
Smart Water ◽  
Analysis System

AN INVESTIGATION OF GREYWATER ONSITE REUSE POTENTIAL IN AN ARID ENVIRONMENT

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mohamed A Hamouda ◽  
Jamila Al Mansoori ◽  
Maitha Al Nuaimi ◽  
Muna Alsaedi ◽  
Mouza Al Shamsi
Keyword(s):  
Water Quality ◽  
Arid Environment ◽  
Quality Parameters ◽  
Quality Analysis ◽  
Coastal Zones ◽  
Viable Option ◽  
Water Quality Analysis ◽  
Al Ain ◽  
The City ◽  
Greywater Reuse

Wastewater originating from bathtubs, showers, hand basins, kitchen sinks, dishwashers and laundry machines is usually not as heavily polluted as toilet water and is thus given the name greywater. Greywater separation for onsite reuse has often been voiced as a viable option, particularly for areas suffering from water scarcity. Such areas include remote arid areas, such as desert cities and arid coastal zones. However, issues related to consistency in the quality and quantity of generated greywater were listed as challenges hindering the adoption of greywater reuse. Thus, the objective of this study was to characterize the different greywater sources for variations in the quality and quantity of greywater in households in the city of Al Ain, UAE over a period of 3 months. Samples were collected from 10 Households and tested for the typical water quality parameters (pH, turbidity, COD, and TDS). In addition, a questionnaire was designed to get an estimate of the greywater flow in the different households. Results indicate that the average daily greywater production was around 88 L per person per day. Even though the results of the water quality analysis for light greywater sources (laundry, showers, and hand basins) exhibited high variability, it was still suitable for direct irrigation. The quantification of greywater flow and potential water savings indicated that greywater could be sufficient for onsite reuse in non-crop irrigation in some of the households.

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