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 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 Changes of Benthic Macroinvertebrates in Thi Vai River and Cai Mep Estuaries Under Polluted Conditions with Industrial Wastewater

2017 ◽  
Vol 63 (2) ◽  
pp. 19-25
Author(s):  
Nguyen Thi Thanh Huong ◽  
Pham Anh Duc ◽  
Pham Van Mien
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Total Nitrogen ◽  
Total Phosphorus ◽  
Benthic Macroinvertebrates ◽  
Industrial Wastewater ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Left Bank

Abstract The pollution on the Thi Vai River has been spreading out rapidly over the two lasted decades caused by the wastewater from the industrial parks in the left bank of Thi Vai River and Cai Mep Estuaries. The evaluation of the benthic macroinvertebrate changes was very necessary to identify the consequences of the industrial wastewater on water quality and aquatic ecosystem of Thi Vai River and Cai Mep Estuaries. In this study, the variables of benthic macroinvertebrates and water quality were investigated in Thi Vai River and Cai Mep Estuaries, Southern Vietnam. The monitoring data of benthic macroinvertebrates and water quality parameters covered the period from 1989 to 2015 at 6 sampling sites in Thi Vai River and Cai Mep Estuaries. The basic water quality parameters were also tested including pH, dissolved oxygen (DO), total nitrogen, and total phosphorus. The biodiversity indices of benthic macroinvertebrates were applied for water quality assessment. The results showed that pH ranged from 6.4 – 7.6 during the monitoring. The DO concentrations were in between 0.20 - 6.70 mg/L. The concentrations of total nitrogen and total phosphorous ranged from 0.03 - 5.70 mg/L 0.024 - 1.380 mg/L respectively. Macroinvertebrate community in the study area consisted of 36 species of polychaeta, gastropoda, bivalvia, and crustacea, of which, species of polychaeta were dominant in species number. The benthic macroinvertebartes density ranged from 0 - 2.746 individuals/m−1 with the main dominant species of Neanthes caudata, Prionospio malmgreni, Paraprionospio pinnata, Trichochaeta carica, Maldane sarsi, Capitella capitata, Terebellides stroemi, Euditylia polymorpha, Grandidierella lignorum, Apseudes vietnamensis. The biodiversity index values during the monitoring characterized for aquatic environmental conditions of mesotrophic to polytrophic. Besides, species richness positively correlated with DO, total nitrogen, and total phosphorus. The results confirmed the advantage of using benthic macroinvertebrates and their indices for water quality assessment.

scholarly journals Water Quality Assessment and Monitoring for River Malaprabha using the Internet of Things(IoT) system

2019 ◽  
Vol 8 (2) ◽  
pp. 3839-3844
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Real Time ◽  
Agricultural Waste ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Time Interval ◽  
Water Quality Data

Water Technology is a new approach for assessing water quality. Water technology is the method by which the water quality can be improved so as to accept the water for a specific use. In this paper, an IoT based water quality assessment has been carried out. The IoT system consists of electronic devices and associated sensors to capture water quality. Experimental samples for water quality check were chosen from, river Malaprabha. The water samples are collected from a water quality monitoring station near Khanapur town, Belagavi district, in the state of Karnataka, India. The water quality parameters assessed here are temperature, pH, Dissolved Oxygen (DO), Total Dissolved Solids (TDS), Biological Oxygen Demand (BOD), Conductivity and Nitrate (NO3). The proposed IoT system collects the real-time water quality data at every regular time interval. The need for real-time assessment is because, in recent years the water is getting polluted at an alarming level, due to urbanization and industrialization, that results in pollutions like an Urban waste, industrial waste, and agricultural waste, etc... disposed into water. Thus making, the use of water even harder for day-to-day anthropogenic activities. The IoT system developed can be used to monitor and assess the water quality parameters.

scholarly journals Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management

2020 ◽  
Vol 17 (3) ◽  
pp. 737 ◽  
Author(s):  
Wei-Jhan Syu ◽  
Tsun-Kuo Chang ◽  
Shu-Yuan Pan
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Management ◽  
Real Time ◽  
Monitoring System ◽  
Irrigation Water ◽  
Water Quality Management ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Irrigation Water Quality

In order to provide the real-time monitoring for identifying the sources of pollution and improving the irrigation water quality management, the integration of continuous automatic sampling techniques and cloud technologies is essential. In this study, we have established an automatic real-time monitoring system for improving the irrigation water quality management, especially for heavy metals such as Cd, Pb, Cu, Ni, Zn, and Cr. As a part of this work, we have first provided several examples on the basic water quality parameters (e.g., pH and electrical conductance) to demonstrate the capacity of data correction by the smart monitoring system, and then evaluated the trend and variance of water quality parameters for different types of monitoring stations. By doing so, the threshold (to initiate early warming) of different water quality parameters could be dynamically determined by the system, and the authorities could be immediately notified for follow-up actions. We have also provided and discussed the representative results from the real-time automatic monitoring system of heavy metals from different monitoring stations. Finally, we have illustrated the implications of the developed smart monitoring system for ensuring the safety of irrigation water in the near future, including integration with automatic sampling for establishing information exchange platform, estimating fluxes of heavy metals to paddy fields, and combining with green technologies for nonpoint source pollution control.

scholarly journals Water quality assessment of mardi river by using water quality index

BIBECHANA ◽  
2013 ◽  
Vol 10 ◽  
pp. 100-107
Author(s):  
Shailendra Kumar Shah
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Primary Source ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Policy Makers ◽  
Ecological Aspects ◽  
Water Quality Trends

The aimed study assesses the water quality of Mardi River applying National Sanitation Foundation (NSF) America developed index called Water Quality Index (WQI). This index is one of effective way to inform about water quality trends to the public and the policy makers for water quality management. As Mardi River is primary source of consumption to Pokhara city and Mardi Watershed entities, the water quality is important for public health and ecological aspects. The study starts with five different sampling stations having total fifteen samples along three (April, May, June) months of the year 2012 were analyzed in water laboratory. After the analysis the weight values and sub index were obtained from the NSFWQI method which results that Mardi River water has Medium degraded water quality ranges in class C and NSFWQI of Mardi river scores as 55.02 and there is high correlation between water quality parameters Nitrogen and Turbidity DOI: http://dx.doi.org/10.3126/bibechana.v10i0.7106 BIBECHANA 10 (2014) 100-107

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 Physico-chemical Characterization of Kaptai Lake and Foy’s Lake Water Quality Parameters in Chittagong, Bangladesh

2019 ◽  
pp. 49-58 ◽  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Management ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Total Alkalinity ◽  
Lake Water Quality ◽  
Freshwater Resources ◽  
The Impact

In order to protect the quality of the environment and human health, freshwater assets are tremendously important in various ways. To ensure the freshwater resources in the Chittagong region of Bangladesh, we have studied the water quality parameters of Kaptai and Foy’s Lake. This research has done based on the essential surface water standard parameters such as pH, temperature, DO, BOD, COD, TDS, TSS, TS, EC, hardness, turbidity, salinity, total alkalinity, total acidity, SO42-, PO43-, NO3--N, NO2-, CO2, and most of the heavy and toxic metals (As, Cd, Cr, Cu, Co, Fe, Pb, Mn, Ni, and Zn) of two lakes namely Foy’s (Chittagong) and Kaptai (Rangamati) Lakes in Chittagong , Bangladesh. The statistical approaches to sampling were utilized for collecting samples. The samples were assembled from ten different locations of each lake. Samples were conserved using a satisfactory preservation procedure. Water samples from the surface-water assets were collected from various locations, and tide conditions and at various seasons for continual monitoring during the hydrological years 2014-2015. The results showed that Kaptai Lake and Foy’s Lake all physicochemical parameters are within the permissible limit of WHO guidelines. The results also supplied data to view, and quantify the enemy of the impact of climate alter on freshwater resources of this region. The outcomes further showed data for water quality of surface-water resources of greater Chittagong zone to match national and international quality for drinking, agricultural, manufacture and livestock requirements. A strategic water quality management plan has been proposed.

scholarly journals Study of interrelationship among water quality parameters in earthen pond and concrete tank

2015 ◽  
Author(s):  
Olawale Ahmed Onada ◽  
Ayoola Olusegun Akinwole ◽  
Emmanuel Kolawale Ajani
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Water Samples ◽  
Water Quality Management ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Limiting Factors ◽  
Sample Collection ◽  
Commercial Fish ◽  
Earthen Ponds

One of the major limiting factors in aquaculture production is poor water quality which can negatively affect the yield from aquaculture venture. There is therefore the need to study the rate of interrelationship among key water quality parameters in relation to water quality management and productivity. The level of interaction among dissolved oxygen, ammonia, pH, and temperature in two culturing facilities (Earthen and Concrete ponds) was therefore investigated. Water samples were collected from concrete and earthen fish ponds in a commercial fish farm in Ibadan. The concrete tanks and earthen ponds used for the experiment have the same stocking rate; number of stocked fish; water source and feeding rate and frequency. Water samples were collected randomly from 4 different points in each of the rearing facilities with a sampling bottle in the morning (8.00-8.30am) and evening (5.00-5.30pm) immediately after feeding; this is done weekly for 6weeks. Also the mortality of fish in the studied facilities was recorded. Four different physico-chemical parameters (Temperature, pH, Dissolved oxygen and Ammonia) were analyzed and measured using HATCH analysis water testing kit model FF-1A immediately after water sample collection. Data collected were analysed using ANOVA and correlation and were test for significance at p=0.05. The result showed that, the mean values of pH was (8.15±0.17; 8.69±0.17); temperature (27.95±1.88; 30.21±1.880C) and dissolved oxygen (4.79±3.98; 11.38±3.98mg/l) were obtained in the morning and evening respectively. Mean dissolved oxygen was (7.04±3.98; 9.12±3.98mg/l); pH (7.9±0.17; 8.9±0.17mg/l); and ammonia (0.5±0.24; 2.09±0.24) in concrete tanks and earthen ponds respectively. The highest values of temperature (33.000C); dissolved oxygen (13.00mg/l) were obtained in the evening. The values obtained for dissolved oxygen and temperatures showed significant variations between the time of the day. Mean mortality recorded was (1.2±1.07); (2.6±1.07) in concrete and earthen ponds respectively. Mortality recorded shows positive correlation with temperature and ammonia with correlation coefficient (r=0.18) and (r=0.54) respectively, however, ammonia level had direct significant relationship with mortality. It is concluded that there exist interrelationship among the key water quality parameters examined, and there values varies with time of the day and between different culture facilities.

scholarly journals Water Quality Assessment of Schools in Solan District of Himachal Pradesh

2020 ◽  
pp. 254-260
Author(s):  
AARTI SHARMA ◽  
R K Aggarwal
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Quality Assessment ◽  
Total Coliform ◽  
Quality Parameters ◽  
Himachal Pradesh ◽  
Water Quality Parameters ◽  
Biological Parameters ◽  
Permissible Limits ◽  
Senior Secondary Schools

Assessment of drinking water quality was done by selecting Nine Government senior secondary schools of three blocks in Solan district of Himachal Pradesh. The water quality parameters such as physical, chemical and biological parameters of water samples were analyzed. The water quality parameters such as temperature, pH, EC, TDS, temperature, BOD and COD ranged from 18.3 to 21.2°C,6.95 to 7.13, 0.24 to 0.51 dS m-1, 107.90 to 194.02 mg l-1, 0.69 to 2.26 mg l-1 and 56.50 to 119.75 mg l-1; trace elements (As, Cd, Zn, Pb, Cu, Mn and Ni) nil, 0.000 to 0.001 mg l-1, 0.001 to 0.003 mg l-1, 0.00 to 0.01 mg l-1, 0.00 to 0.02 mg l-1, 0.03 to 0.06 mg l-1 and 0.00 to 0.02 mg l-1respectively and biological parameters like total coliform as 20.00 to 54.00 MPN ml-1, which were within the permissible limits except Fe which ranged from 0.63 to 0.95 mg l-1 was above the permissible limits. The water quality index of drinking water for nine schools was in the rangeof 25.80 to 36.38,which categorized as excellent.

scholarly journals WATER QUALITY ASSESSMENT OF SAIGON RIVER FOR PUBLIC WATER SUPPLY BASED ON WATER QUALITY INDEX

2020 ◽  
Vol 58 (5A) ◽  
pp. 85
Author(s):  
Thuy Chau To
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Public Water Supply ◽  
Water Quality Data

Water Quality Index (WQI) is a dimensional number that aggregates information from many water quality parameters according to a defined method. WQI is accepted as an efficient tool for water quality management. In this study, WQI of Saigon river for public water supply was calculated from nine water quality parameters including pH, suspended solids (SS), dissolved oxygen (DO), chemical oxygen demand (COD), nitrite, ammonia, phosphate, total dissolved iron and total coliform based on water quality data obtained monthly from January 2016 to December 2019 at three sampling sites. The results showed that most of WQI values belonged to class III (medium water quality with the WQIs of 35 – 64) and class IV (poor water quality with the WQIs of 11 – 34) and a deteriorating trend was observed from upstream to downstream of Saigon river. The river water quality could not be used for public water supply.

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