scholarly journals A Custom Sensor Network for Autonomous Water Quality Assessment in Fish Farms

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2192
Author(s):  
Juan Francisco Fuentes-Pérez ◽  
Francisco Javier Sanz-Ronda
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Sensor Network ◽  
Low Cost ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Fish Farms ◽  
Management Platform ◽  
Machine Learning Applications ◽  
Online Management

The control of water quality is crucial to ensure the survival of fish in aquaculture production facilities. Today, the combination of sensors with communication technologies permits to monitor these crucial parameters in real-time, allowing to take fast management decisions. However, out-of-the-box solutions are expensive, due to the small market and the industrial nature of sensors, besides being little customizable. To solve this, the present work describes a low-cost hardware and software architecture developed to achieve the autonomous water quality assessment and management on a remote facility for fish conservation aquaculture within the framework of the Smart Comunidad Rural Digital (smartCRD) project. The developed sensor network has been working uninterruptedly since its installation (20 April 2021). It is based on open source technology and includes a central gateway for on-site data monitoring of water quality nodes as well as an online management platform for data visualization and sensor network configuration. Likewise, the system can detect autonomously water quality parameters outside configurable thresholds and deliver management alarms. The described architecture, besides low-cost, is highly customizable, compatible with other sensor network projects, machine-learning applications, and is capable of edge computing. Thus, it contributes to making open sensorization more accessible to real-world applications.

scholarly journals Water Quality Assessment of the Godavari River

1970 ◽  
Vol 5 ◽  
pp. 31-34 ◽  
Author(s):  
Ajay D. Chavan ◽  
M P Sharma ◽  
Renu Bhargava
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Pollution Control ◽  
Water Quality Management ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Control Board ◽  
Godavari River ◽  
The Usa

The Godavari River is a second largest river in India originating from Trimbakeswar, Nasik, Maharashtra, India. It fl ows through the states of Madhya Pradesh, Karnataka, Orissa and Andhra Pradesh. The river, passing through Nasik City, is 82% polluted by domestic pollution and 18% by industries. The study covers about 65 km of the river starting from Kushawart Trimbakeswar to Saikheda Village, from where it enters the city. Ten locations were selected for collection of water samples from the river and the samples were analyzed for water quality parameters in the Environmental Laboratory of the Maharashtra Pollution Control Board (MPCB), Nasik. These data as well as data from the Central Pollution Control Board (CPCB) were used to compute the National Sanitation Foundation Water Quality Index (NSFWQI), mostly applicable in the USA and India. The results of NSFWQI of Godavari River indicates its water quality as ‘bad' (26-50) or ‘medium' (51-70) over the study stretch. The NSFWQI of December 2007 and February 2008 indicate an improvement in water quality at all locations over earlier data from 2002-07. Based upon the results, the existing conservation measures have been reviewed and additional measures are suggested. The study concludes that major stressor is sewage pollution.Key words: Water quality parameters; Water quality assessment; Water quality management; Conservation measuresDOI: 10.3126/hn.v5i0.2483Hydro Nepal Vol. 5, July 2009 Page:31-34 

scholarly journals GamTox: A Low-Cost Multimetric Ecotoxicity Test withGammarusspp. forInandEx SituApplication

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Almut Gerhardt
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Acute Stress ◽  
Low Cost ◽  
Water Quality Assessment ◽  
Ex Situ ◽  
Test Protocol ◽  
Ecotoxicity Test ◽  
Running Water ◽  
Xenobiotic Stress

Gammarusspp. represent an important taxon in running water ecosystems concerning both structural and functional aspects.Gammarusspp. are also part of several macrozoobenthos indices for assessing biological water quality. However, in ecotoxicological water quality assessment, this taxon has been used much less thanDaphniaspp. A new user-friendly and low-cost test protocol forGammarusspp. has been developed, constituting the “ecotoxicological module ”of an integrated multimetric triad-based concept for water quality assessment. The GamTox test is based on several test parameters: behavior (especially locomotion and feeding) depicts rapid and sensitive early warning indicators, survival displays an indicator of severe acute stress, and biochemical biomarkers, esp. AChE inhibition, is a sensitive marker of neurotoxic xenobiotic stress. GamTox can be performed bothin situandex situ, based either on visual or automatical recording.

scholarly journals Quality Assessment of Some Freshwater Resources Located in Bucharest and Surrounding Areas I. Water Quality Assessment of Herastrau, Pantelimon and Mogosoaia Lakes

2019 ◽  
Vol 70 (8) ◽  
pp. 2889-2896 ◽  
Author(s):  
Petra Ionescu ◽  
Violeta Monica Radu ◽  
Gyorgy Deak ◽  
Elena Diacu ◽  
Ecaterina Marcu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Assessment ◽  
Water Samples ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Freshwater Resources ◽  
Surrounding Areas

The quality assessment of the aquatic environment from some freshwater resources situated in Bucharest and Ilfov County - Romania has been performed in an extended study and data obtained will be presented in several papers. This first paper presents a case study on water quality assessment of the Mogosoaia, Herastrau and Pantelimon Lakes, lakes built on the Colentina River. Two water and sediment sampling campaigns were conducted in the summer and autumn 2016, 29 specific parameters were determined for water samples and heavy metals content for sediment samples. The obtained results for water samples allowed the classification of lakes water in quality classes and the heavy metals values for sediments were compared to the standards of chemical quality, according to the national legislation M.O. 161/2006. Furthermore, for an overview of water quality, the Water Quality Index (WQI) method was used, where the indicators were grouped into two categories: the first category took into account 18 quality parameters (WQI-1) and the second considered heavy metals content (WQI-2).

scholarly journals Zooplankton from can Giuoc River in Southern Vietnam

2016 ◽  
Vol 62 (3) ◽  
pp. 27-33 ◽  
Author(s):  
Pham Anh Duc ◽  
Nguyen Thi Mai Linh ◽  
Dang My Thanh ◽  
Pham Van Mien
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Inorganic Nitrogen ◽  
Oxygen Demand ◽  
Total Suspended Solid ◽  
Water Quality Assessment ◽  
Suspended Solid ◽  
Quality Parameters ◽  
Species Number ◽  
Southern Vietnam

Abstract In this study, the variables of zooplankton and water quality were investigated in the Can Giuoc River, Southern Vietnam. Zooplankton was monitored in April and September 2015 at 5 sampling sites in the river. Some basic water quality parameters were also tested, including pH, total suspended solid (TSS), dissolved oxygen (DO), biological oxygen demand (BOD5), inorganic nitrogen (NH4+), dissolved phosphorus (PO43−), and coliform. The zooplankton biodiversity indices were applied for the water quality assessment. The results showed that pH ranged from 6.7 to 7.6 during the monitoring. The TSSs were between 34–117 mg/L. The DO and BOD5 were from 0.6 to 3.8 mg/L and from 6.3 to 13.2 mg/L, respectively. The NH4+ and PO43− concentrations ranged from 0.44 to 3.23 and from 0.08 to 1.85 mg/L, respectively. The coliform number was between 9.3×103–9.3×104 MPN/100 mL. The zooplankton analyses showed that there were 31 species of coelenterates, rotatoria, oligochaetes, cladocerans, copepods, ostracods, mysidacea, and 8 larval types. Thereof, the species of copepods were dominant in the species number. The zooplankton density ranged from 9 500 to 23 600 individuals/m3 with the main dominant species of Moina dubia (Cladocera), Thermocyclops hyalinus, Acartia clausi, Oithona similis (Copepoda), and nauplius copepods. The biodiversity index values during the monitoring were from 1.47 to 1.79 characteristic of mesotrophic conditions of the aquatic environment. Besides, the species richness positively correlated with pH, TSS, DO, BOD5, NH4+, PO43−, and coliform, while the zooplankton densities got a positive correlation with DO, BOD5, NH4+, PO43−, and coliform. The results confirmed the advantage of using zooplankton and its indices for water quality assessment.

scholarly journals Quality Assessment of Some Freshwater Resources Located in Bucharest and Surrounding Areas II. Water quality assessment of Arges and Dambovita rivers

2019 ◽  
Vol 70 (10) ◽  
pp. 3638-3643
Author(s):  
Petra Ionescu ◽  
Alexandru Anton Ivanov ◽  
Violeta Monica Radu ◽  
Gyorgy Deak ◽  
Elena Diacu ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Samples ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Freshwater Resources ◽  
Sediment Samples ◽  
Sampling Campaign ◽  
Water Quality Classification ◽  
Surrounding Areas

The water quality assessment of Arges River and its tributary Dambovita River is presented in this paper as second part of an extended study on the evaluation of some freshwater resources quality located in Bucharest and surrounding areas [1]. This case study was carried out mainly for the water in the confluence area of Arges and Dambovita rivers, where a water and sediment sampling campaign was organized in June 2018. 21 quality parameters were determined for water samples and for the sediment samples the heavy metals content was evaluated. The results of the water samples analysis allowed the framing in quality classes, and for sediment samples the values obtained were compared with the chemical quality standards for sediments, according to the current national regulations. Following the assessment, it was established that the freshwaters in both Arge� River and Dambovita River, downstream the confluence with the Dambovita River are loaded with different pollutants, such as organic substances and nutrients leading to a lower water quality classification.

scholarly journals Identifying the Underlying Relationship Between Water Quality Parameters of the Groundwater Samples using Association and Clustering Algorithms in Coimbatore District

2019 ◽  
Vol 8 (2) ◽  
pp. 177-185
Keyword(s):  
Data Mining ◽  
Water Quality ◽  
Quality Assessment ◽  
Ground Water ◽  
Clustering Algorithms ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Coimbatore District ◽  
Soft Computing Techniques

Water is a highly complex environmental system; its protection cannot be met by traditional methods. As a part of the process, it is mandatory to evaluate the parameters of ground water so as to pursue suitable treatment. These days’ data mining algorithms have been developed to handle various data-rich environmental problems. In data mining, several techniques such as complex non-linear science, soft computing techniques, clustering and association have been applied in the domain of ground water quality assessment and evaluation in and around Coimbatore District. In this work, the statistical cluster analysis methods and association rule mining techniques were used to identify the spatial distribution of different cluster of wells having similar characteristics and determine the relationship between different water quality variables. The water quality assessment in Coimbatore was done using 13 parameters, namely NO3 - , TDS, Mg2+, Ca2+, Na+ , Cl- , F- , SO4 2- , EC, pH and Hardness including location in different sites. The main objective of the present study is to assess the performance of various clustering algorithms of WEKA and identify the most suitable algorithm for clustering water quality samples. K-Mean algorithm and centroid method of Hierarchical clustering performed in the similar manner in clustering. In addition to that, this study focused on identifying the water quality parameters exceeding permissible limits that occur together (TDS, Mg2+, SO4 2- , EC, hardness) in the given samples using Association Algorithms. The performance and efficiency of different association algorithms like Apriori and Frequent Pattern Growth algorithm was evaluated by factors like support, confidence, lift, leverage and conviction values

scholarly journals Urban Water Quality Assessment Based on Remote Sensing Reflectance Optical Classification

2021 ◽  
Vol 13 (20) ◽  
pp. 4047
Author(s):  
Xiaolan Cai ◽  
Yunmei Li ◽  
Shun Bi ◽  
Shaohua Lei ◽  
Jie Xu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Quality Parameters ◽  
Water Type ◽  
Urban Water ◽  
Urban Water Quality ◽  
Remote Sensing Reflectance

With the acceleration of urbanization, increasing water pollution means that monitoring and evaluating urban water quality are of great importance. Although highly accurate, traditional evaluation methods are time consuming, laborious, and vastly insufficient in terms of the continuity of spatiotemporal coverage. In this study, a water quality assessment method based on remote sensing reflectance optical classification and the traditional grading principle is proposed. In this method, an optical water type (OWT) library was first constructed using the measured in situ remote sensing reflectance dataset based on fuzzy clustering technology. Then, comprehensive scoring rules were established by combining OWTs and 12 water quality parameters, and water quality was graded into different urban water quality levels (UWQLs) based on the scoring results. Using the proposed method, the relative water quality of urban waterbodies was qualitatively evaluated at the macro level based on images from the multispectral imager of Sentinel-2. In addition, there was a significant positive correlation between the UWQLs and the water quality index (WQI). These results indicate the potential of this method for quantitative assessment of urban water quality, providing a new way to evaluate water quality using remote sensing algorithms in the future.

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