scholarly journals Identification of indispensable components for a better drinking water quality management: Tunis case of study

2017 ◽  
Vol 19 (6) ◽  
pp. 942-952 ◽  
Author(s):  
M. Hassen Baouab ◽  
Semia Cherif
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Principal Component ◽  
Water Hardness ◽  
Treated Water ◽  
Large Databases ◽  
Principal Axes ◽  
Calcium Magnesium ◽  
Conductivity Water

Abstract In order to reduce the number of operations for the assessment of potable water treatment, principal component analysis and hierarchical clustering are applied to large databases of raw and treated water of three treatment plants with various processes. It appears that the measurements can be divided into three clear groups, with a correlation higher than 0.8. The first contains salinity, conductivity, water hardness, calcium, magnesium and chlorides. The second includes turbidity and organic matter. The third includes pH and alkalinity. Despite the disparities in water quality and in all the cases, three parameters were sufficient to represent all the routine measurements: conductivity, turbidity and pH, which can represent the three principal components of the data. It can reduce by two-thirds of the measurement and analysis, dropping from 6,960 to 2,088 analysis annually. The analysis on the principal axes of the individuals, represented by raw and treated water from the three treatment plants, reveals that the quality of the raw water seems more important than the type of treatment process, in the resulting quality of treated water. These results could be generalized and easily adopted by other treatment plants whatever the process. They could offer substantial savings of time, chemicals, electricity and longevity of the devices.

scholarly journals Temporal and Spatial Water Quality Assessment for Rivers in Metropolitan Areas Using Multivariate Statistics and Water Quality Indices: A Case Study of the Geumho River, Korea

2021 ◽  
Author(s):  
Chang Dae Jo ◽  
Jung Min Kim ◽  
Seong Min Kim ◽  
Heon Gak Kwon
Keyword(s):  
Water Quality ◽  
Multivariate Statistics ◽  
Water Quality Management ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Principal Factor ◽  
Economic Activities ◽  
Management Interventions ◽  
Industrial Complexes

Abstract The Geumho River in South Korea passes through a metropolitan area with a high population density and multiple industrial complexes and, therefore, the water quality of this river is of significance for human health and economic activities. This study aims to assess the water quality of the Geumho River to inform river water quality management and improve pollution control using multivariate statistics and the Korean Water Quality Index (KWQI). Principal component and factor analysis identified those factors related to organic pollutants and metabolism (principal factor 1), and phosphorus and fecal coliform content (principal factor 2). In a cluster analysis, time was considered by distinguishing between seasons (spring, summer, autumn, and winter) and space was considered based on upstream (US), midstream (MS), and downstream (DS) river sections. Seven temporal variables and six spatial variables were extracted from the discriminant analysis (DA) results; the most important water quality variables were high during the spring and summer seasons and in the MS and DS regions. Temporally, the KWQI was highest in winter (70.9) and lowest in spring (59.2), whereas spatially, KWQI values were highest in the US (67.5) and lowest in the MS (56.4) sections. These results indicate that to be most effective, water management interventions in the Geumho River should focus on the urban midstream section and spring seasons.

The Water Quality Management for Recirculating Aquaculture System by Applying Nano Adsorption Technology

2021 ◽  
Vol 21 (7) ◽  
pp. 3975-3979
Author(s):  
Min-Jin Hwang ◽  
Jeongmin Cha ◽  
Eun-Sik Kim
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Reduction Rate ◽  
Fish Farming ◽  
Analytical Relationship ◽  
Pumice Stone ◽  
Recirculating Aquaculture ◽  
Recirculating Aquaculture Systems ◽  
Aquaculture Water

In a fish farm, the water quality is important to ensure fish growth and farm productivity. However, the study of the quality of water using in aquaculture has been ignored until now. Although there are several methods to treat water, nanomaterials have not yet been applied for indoor fish farming because it may difficult to supply a sufficient amount of water, and the operating parameters have not been developed for recirculating aquaculture systems. Nanotechnology can be applied to treat water, specifically through adsorption and filtration, to produce drinking water from surface water and to treat wastewater by processing a high volume of effluent. The adsorption and filtration of seawater has also progressed to allow for desalination of seawater, and this is recognized as a necessary tool for extended treatment protocols of various types of seawater. This study investigated the treatment of aquaculture water using nano-porous adsorbents (e.g., pumice stone) to control the contaminants in seawater in order to maintain the water quality required for aquaculture. The results are used to derive an analytical relationship between the ionic species in aquaculture water, and this provides empirical parameters for a batch reactor for aquaculture. The quality of the influent and effluent for aquaculture is compared using time-series analyses to evaluate the reduction rate of ionic components and thus suggest the optimum condition for fish farming using bioreactor processes.

scholarly journals Microbial water quality of treated water and raw water sources in the Harare area, Zimbabwe

Water SA ◽  
2015 ◽  
Vol 41 (5) ◽  
pp. 691
Author(s):  
Tatenda G Chirenda ◽  
Sunitha C Srinivas ◽  
R Tandlich
Keyword(s):  
Water Quality ◽  
Water Sources ◽  
Raw Water ◽  
Microbial Water Quality ◽  
Treated Water

scholarly journals Assessment of Water Quality of Major Tributaries in Seoul using Water Quality Index and Cluster Analysis

2020 ◽  
Vol 42 (10) ◽  
pp. 452-462
Author(s):  
Jinhyo Lee ◽  
Hyunju Ha ◽  
Manho Lee ◽  
Mokyoung Lee ◽  
Taeho Kim ◽  
...  
Keyword(s):  
Water Quality ◽  
Cluster Analysis ◽  
River Water ◽  
Quality Index ◽  
Water Quality Management ◽  
River Water Quality ◽  
Quality Information ◽  
Linkage Method ◽  
And Cluster Analysis

Objectives : 17 water quality measurement networks (WQMNs, tributaries) in Seoul were analyzed by using NSFWQI and cluster analysis to provide basic data for future river water quality management so that citizens could easily and comprehensively understand the water quality information on the rivers in Seoul.Methods : For the past 3 years (2015~2017), in order to estimate WQI, 9 items, DO (% sat), Fecal coliform, pH, BOD, Temperature change (TC), TP, NO3-, Turbidity and Total solids, were selected from among the 19 water quality data measurement items produced monthly from 17 WQMNs in Seoul. WQI was derived and graded using NSFWQI and cluster analysis was performed using Ward Linkage Method, SOM (Self Organizing Map).Results and Discussion : Water quality of most water quality monitoring networks was BOD Ⅱ grade (slightly good) or higher and TP Ⅲ grade (normal) or higher according to the standard of water quality and water ecosystem river living environment, and NSFWQI was also 64 (Medium)~89 (Good). All showed good water quality. NSFWQI does not show a significant difference by season, so it is believed that it is affected by anthropogenic sources rather than seasonal effects. As a result of examining the correlation between NSFWQI and water quality level according to environmental standards, it was confirmed that R2 has a relatively good correlation with 0.78, and there is no clear difference between the two groups, and through this, it was found that the currently implemented water quality rating system and NSFWQI are well matched. As a result of cluster analysis using ward linkage method and SOM for 17 WQMNs, it was largely divided into 6 groups according to water quality characteristics.Conclusions : It is important to manage pollution sources to systematically manage river water quality as a water resource. It is therefore expected that by converting from the complicated and various water quality information such as is found in this study into a simple water quality index and grouping, the river water quality can be easily understood and can be utilized in the future as basic data for water quality management in Seoul.

scholarly journals Analysis of Water Quality and River Waters Microbology for Manifestation of Food Safety

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Rizky Muliani Dwi Ujianti ◽  
Althesa Androva
Keyword(s):  
Water Quality ◽  
Food Security ◽  
Quality Management ◽  
Water Quality Management ◽  
Quality Standard ◽  
Total Coliform ◽  
Coliform Bacteria ◽  
Domestic Waste ◽  
Total Coliform Bacteria

 Abstract. Banjir Kanal Barat is a river in the Garang watershed, Semarang City, Central Java, Indonesia. Its function is as a source of water for the community. The level of pollution in this river is already high. The purpose of this study is to provide advice to governments, communities and related stakeholders to realize integrated river management, and fisheries-based food security is achieved. This research method is: analyzing the water quality of the Banjir Kanal Barat river, and analyzing the amount of faecal and total coliform bacteria content in the Banjir Kanal Barat river, and analyzing how to overcome the decline in the quality of waters of the Banjir Kanal Barat river due to faecal and total coliform bacteria pollution. The results showed that the water quality at the research location was still in the quality standard. The content of coliform dan faecal bacteria at the study site exceeds the quality standard, this is due to the influence of domestic waste from households. The thing that needs to be done is counseling the existence of a clean and healthy life, especially for people who are still throwing domestic waste into the river. The existence of water purification equipment is also very necessary to overcome this problem. Water quality management can be done with policy analysis. Regulations related to water quality management can be analyzed and then given solutions and recommendations related to these rules so that policies can be taken that are sustainable, integrated, and coordinated between various parties in managing river water quality and food security. Keywords: food security, water quality, river, faecal coliform, total coliform

scholarly journals Analysis Quality of Water River and Quality of Well Water in The Surrounding of Rejo Agung Baru Sugar Factory Madiun

2018 ◽  
Vol 10 (1) ◽  
pp. 1 ◽  
Author(s):  
Susanti Oktavia Ningrum
Keyword(s):  
Water Quality ◽  
Agricultural Waste ◽  
Water Quality Management ◽  
Domestic Wastewater ◽  
Quality Standards ◽  
Water Quality Monitoring ◽  
Well Water ◽  
Sugar Factory ◽  
Quality Of Water

The quality of wastewater sugar factory produced will affect the environmental health quality around the factory. The study aimed to analyze the quality of water river and the quality of wells around the Rejo Agung Baru sugar factory in the Madiun. This study is an descriptive observational. The samples comprised of 5 sampels of water rivers and 7 samples of well water. The results of the study at the quality of water river showed that there are parameters (BOD5 and temperature) unqualified with the quality standards based on the East Java Regional Regulation No. 2 of 2008 about Water Quality Management and Water Pollution Control in the East Java, the quality of water river is also affected by the waste water, trash, agricultural waste, and other pollutants. The result of measuring the quality of water well showed that there are parameters (organic substance) unqualified with quality standards based on Permenkes No: 416/Menkes/PER/ IX/1990 about the Terms and Water Quality Monitoring, the quality of Well water is also affected by the quality of water river, a distance of toilet, domestic wastewater and other pollutants. The quality of water river and the quality of well water have decreased that required supervision on the quality of a river water and the quality of water of a well.

scholarly journals Evaluation the water quality of the potable water network in Al-Shuala/ Baghdad City

2019 ◽  
Vol 13 (28) ◽  
pp. 116-124
Author(s):  
Zainab Bahaa Mohammed
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Drinking Water ◽  
Quality Index ◽  
Potable Water ◽  
Total Hardness ◽  
Water Network ◽  
Conductivity Water ◽  
Total Dissolved Solid

In this research, the water quality of the potable water network inAl-Shuala Baghdad city were evaluated and compare them with theIraqi standards (IQS) for drinking water and World HealthOrganization standards (WHO), then water quality index (WQI) werecalculator: pH, heavy metals (lead, cadmium and iron), chlorides,total hardness, turbidity, dissolved oxygen, total dissolved solid andelectrical conductivity. Water samples are collected weekly duringthe period from February 2015 to April 2015 from ten sites. Resultsshow that the chlorides, total dissolved solid and electricalconductivity less than acceptable limit of standards, but totalhardness and heavy metals in some samples higher than acceptablelimit of standards while the other parameter is good.WQI shows thatresults is excellent and good for drinking for all location and monthsexcept site (2) gave higher value (65.184) in March and site (9) gavehigh value (57.78, 57.23) at March and April indicate that sites ispoor for drinking water.

Evaluation of Water Quality of Hemren Lake

2013 ◽  
Vol 6 (2) ◽  
pp. 57-76
Author(s):  
SAAD SH. SAMMEN
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Parameters ◽  
Lake Ecosystem ◽  
Index Method ◽  
Weighted Arithmetic ◽  
Canadian Council ◽  
Calcium Magnesium

In this study Water Quality Index (WQI) was applied in Hemren Lake, Diyala province, Iraq using ten water quality parameters (pH, Electrical Conductivity, Hardness, Total Dissolve Soluble, Sodium, Calcium, Magnesium, Potassium, Chloride, Phosphate) from 2008 to 2010 to evaluate the suitability of Hemren Lake ecosystem for drinking and irrigation uses. The Weighted Arithmetic Index method (WAM) and the Canadian Council of Ministers of the Environment Water Quality Index methodology (The CWQI 1.0 model) were used to calculate the water quality index (W.Q.I). The results indicated that drinking water quality of Hemren Lake is good and marginal for the study period according to (WAM) and (CCME) respectively, while the irrigation water quality is good and according to (WAM) and (CCME). It is suggested that monitoring of the lake is necessary for proper management. Application of the WQI is also suggested as a very helpful tool that enables the public and decision makers to evaluate water quality of lakes in Iraq.

scholarly journals Groundwater quality assessment of Shahdadkot, Qubo Saeed Khan and Sijawal Junejo Talukas of District Qambar Shahdadkot, Sindh

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Muhammad Farooque Lanjwani ◽  
Muhammad Yar Khuhawar ◽  
Taj Muhammad Jahangir Khuhawar
Keyword(s):  
Water Quality ◽  
Principal Component ◽  
Quality Parameters ◽  
World Health ◽  
Coefficient Of Determination ◽  
High Concentration ◽  
Permissible Limits ◽  
Groundwater Samples ◽  
Health Organization

AbstractThe study examines the water quality of Shahdadkot, Qubo Saeed Khan and Sijawal Junejo talukas of Qambar Shahdadkot District, less affected by industrial contamination. A total of 38 groundwater samples were collected and analysed for 28 parameters. The results indicated that 57.89% samples were not suitable for drinking purpose with total dissolved solids above than maximum permissible limit of World Health Organization (WHO) (1000 mg/L). The pH, total phosphate, orthophosphate and nitrite were within WHO limits. The concentration of essential metals more than half samples, fluoride in 60.52% and heavy metals 0–50% were contaminated higher than permissible limits of WHO. The statistical analysis of water quality parameters was also carried out to evaluate coefficient of determination among the parameters, cluster analysis and principal component analysis. Water quality determined for irrigation based on Kelly index (KI), sodium percentage (Na%), chloride–sulphate ratio, sodium adsorption ratio, permeability index (PI), chloroalkaline indices 1 (CAI-1), residual sodium carbonate and chloride bicarbonate ratio indicated that samples (55 to 100%) could be used for irrigation purposes. The consumption of water with high concentration of salts and fluoride above the permissible limits may be a cause of a number of diseases in the area.

scholarly journals Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia

2015 ◽  
Vol 41 (4) ◽  
pp. 96-103 ◽  
Author(s):  
Danijela Voza ◽  
Milovan Vukovic ◽  
Ljiljana Takic ◽  
Djordje Nikolic ◽  
Ivana Mladenovic-Ranisavljevic
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Surface Water Quality ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Water Quality Monitoring ◽  
Danube River ◽  
Multivariate Techniques ◽  
Data Set ◽  
Political Issue

AbstractThe aim of this article is to evaluate the quality of the Danube River in its course through Serbia as well as to demonstrate the possibilities for using three statistical methods: Principal Component Analysis (PCA), Factor Analysis (FA) and Cluster Analysis (CA) in the surface water quality management. Given that the Danube is an important trans-boundary river, thorough water quality monitoring by sampling at different distances during shorter and longer periods of time is not only ecological, but also a political issue. Monitoring was carried out at monthly intervals from January to December 2011, at 17 sampling sites. The obtained data set was treated by multivariate techniques in order, firstly, to identify the similarities and differences between sampling periods and locations, secondly, to recognize variables that affect the temporal and spatial water quality changes and thirdly, to present the anthropogenic impact on water quality parameters.

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