OREGON WATER QUALITY INDEX A TOOL FOR EVALUATING WATER QUALITY MANAGEMENT EFFECTIVENESS

2001 ◽  
Vol 37 (1) ◽  
pp. 125-137 ◽  
Author(s):  
Curtis G. Cude
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Management Effectiveness

scholarly journals Big Data, Knowledge Mapping for Sustainable Development: A Water Quality Index Case Study

2019 ◽  
Vol 3 (4) ◽  
pp. 249-254 ◽  
Author(s):  
Lei Zhang
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Water Quality Assessment ◽  
Environmental Study ◽  
Knowledge Mapping ◽  
Main Research ◽  
Water Quality Problem

Water quality assessment is an increasingly important area in environmental study. Assessment of water quality can be a process include multiple factors which can causing influence on water quality. Researchers have developed many evaluation indices In order to display the results of water quality evaluation more intuitively. Water quality index has been the important fields in sustainable water quality management. This research based on the papers published of 20 years from web of science, analyzed the data by using CiteSpace 5.0. The result shows the direction, frontiers and hotspots of water quality index. Research from institutes, research keywords, word frequency, quoted literature and Subjects. The result shows in view of the world, India, China, US, Brazil and Iran are major countries. From the hotspots and frontiers of research, key words such like water quality management, drinking water quality are the main research hotspots and frontiers of social network in the contamination of water and water quality problem in China and India. this study  provide a  method for scientists to keep up with the situation of the study on water quality management., and puts forward suggestions for the further research on sustainable water quality index.

scholarly journals Water quality index and spatio-temporal perspective of a large Brazilian water reservoir

2020 ◽  
Author(s):  
Karla Lorrane de Oliveira ◽  
Ramatisa Ladeia Ramos ◽  
Sílvia Corrêa Oliveira ◽  
Cristiano Christofaro
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Water Reservoir ◽  
Material Transport ◽  
Reservoir Water ◽  
Canadian Council ◽  
Spatio Temporal ◽  
Ccme Wqi

Abstract The water spatio-temporal variability of the Irapé Hydroelectric Power Plant reservoir and its main tributaries was evaluated by analysing the temporal trend of the main parameters and applying the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI), considering data from 2008 to 2018. This reservoir is in Minas Gerais, Brazil, covering an area of approximately 142 km2, across seven municipalities. The dissolved iron (DFe) presented the highest percentage of standard violations (31.7% to 80.5%), with most frequencies being verified in the reservoir tributaries. The Mann–Kendall test indicated that the monitoring stations showed an increasing trend of 78.5% N–NH4+ and 64.1% DFe. During the evaluated period, the reservoir waters were classified as excellent (1.2%), good (61.3%), acceptable (29.5%), and poor (8.0%) according to the WQI for the proposed use. The poorest quality classes were more frequent in the tributaries, especially in the year 2009. The WQI seasonal assessment indicated a worsening during the rainy period in 57% of the stations, as a result of external material transport to the water bodies. The CCME WQI, in conjunction with temporal statistical analysis, contributed to the monitoring data interpretation, generating important information for reservoir water quality management.

scholarly journals Evaluation of the performance of multiple water quality loading index systems for Sapgyo River / by Faizul Hasan.

2021 ◽  
Author(s):  
Faizul Hasan
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Management System ◽  
Water Quality Management ◽  
Data Set ◽  
Study Results ◽  
Canadian Council ◽  
Using Data ◽  
Council Of Ministers

To enhance the sustainability of [the] water-quality-management system, the modeling results of simulated pollutants are needed to translate into an understandable single unit water quality index to help decision-makers. QUAL2E model is helpful in translating the results of simulated pollutants into a single water quality rating unit termed as "QUAL2E water quality loading index (QUAL2I)". This approach is adopted to evaluate the performance of National Sanitation Foundation’s Water Quality Index (NSFWQI) and Canadian Council of Ministers of the Environment’s Water Quality Index (CCMEWQI) using data set of Sapgyo River. CCMEWQI results are found better, especially for meeting the desired quality objectives. Additionally, a decision-making process has been suggested based on better found QWQLI result to maintain the whole river channel at acceptable water quality standards. The study results imply that further study should be carried out using [a] minimum [of] four variables, each having at least four test samples to compute QWQLI using CCMEWQI approach.

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 Monitoring Lotic Ecosystem by the Application of Water Quality Index (CCMEWQI)

2020 ◽  
Vol 17 (1) ◽  
pp. 0023
Author(s):  
Salman Et al.
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Quality Data ◽  
Total Hardness ◽  
Water Quality Data ◽  
Quality Of Water ◽  
Lotic Ecosystem

Water Quality Index (WQI) as a tool to assess the water quality status provides advice related to the use of water quality monitoring data and it is a way for combining the complex water quality data into a single value or single statement.The present study was conducted on Al- Hilla river in the middle of Iraq from August 2012 to July 2013 at five selected stations in the river, from Al- Musaib city to Al- Hashimya at the south of Hilla to determine its suitability for aquatic environment (GWQI), drinking water (PWSI) and irrigation (IWQI).This index offers a useful representation of the overall quality of water for public or any intended use as well as indicating pollution, water quality management, and decision making. According to the obtained results, it can be concluded that the EC, TSS, Total hardness, Ca, Mg, DO, BOD5, and NO3 moved away from the desired standards when the temperature rises. The variable of value of this index may be due to increasing the ration of organic matters and converting the carbonate to bicarbonate. The results recorded high value of calcium and magnesium more than the standard value of WHO and IQS (50 mg/l and high value of total hardness more than 500 mg/l). Irrigation water quality index (IWQI) in the study sites were ranged between 66-83 ranged between fair and good.                                                  

scholarly journals Evaluation of the performance of multiple water quality loading index systems for Sapgyo River / by Faizul Hasan.

2021 ◽  
Author(s):  
Faizul Hasan
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Management System ◽  
Water Quality Management ◽  
Data Set ◽  
Study Results ◽  
Canadian Council ◽  
Using Data ◽  
Council Of Ministers

To enhance the sustainability of [the] water-quality-management system, the modeling results of simulated pollutants are needed to translate into an understandable single unit water quality index to help decision-makers. QUAL2E model is helpful in translating the results of simulated pollutants into a single water quality rating unit termed as "QUAL2E water quality loading index (QUAL2I)". This approach is adopted to evaluate the performance of National Sanitation Foundation’s Water Quality Index (NSFWQI) and Canadian Council of Ministers of the Environment’s Water Quality Index (CCMEWQI) using data set of Sapgyo River. CCMEWQI results are found better, especially for meeting the desired quality objectives. Additionally, a decision-making process has been suggested based on better found QWQLI result to maintain the whole river channel at acceptable water quality standards. The study results imply that further study should be carried out using [a] minimum [of] four variables, each having at least four test samples to compute QWQLI using CCMEWQI approach.

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.

scholarly journals CLASSIFICATION AND ZONING OF WATER QUALITY FOR THREE MAIN RIVERS IN BINH TRI THIEN REGION (CENTRAL VIETNAM) BASED ON WATER QUALITY INDEX

2017 ◽  
Vol 25 (2) ◽  
pp. 435-444
Author(s):  
Nguyen Van Hop ◽  
Thuy Chau To ◽  
Truong Quy Tung
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Total Coliform ◽  
Dissolved Iron ◽  
Central Vietnam ◽  
Total Dissolved Iron

Huong, Thach Han and Kien Giang rivers are the important surface water sources in Thua ThienHue, Quang Tri and Quang Binh provinces, respectively (in Central Vietnam). The river water samples were taken monthly (from June 2001 to May 2002 for Kien Giang river and from January to December of 2004 for Thach Han and Huong rivers) at selected sites. The temperature, pH, conductivity (EC), salinity, turbidity (TUR), DO, COD, BOD5, nitrate, ammonia, phosphate, total solids (TS), hardness, total dissolved iron, total coliform (TC), fecal coliform (FC) and sodium adsorption ratio (SAR) of water samples were analyzed. Water quality index developed by Bhargava (Bhargava-WQI) was modified and applied to assess water quality of the above mentioned rivers. Based on Bhargava-WQI, the classification and zoning of the rivers for beneficial uses were carried out. The results obtained show that the water quality index can be used as an efficient tool for the water quality management and water pollution control of the rivers. 

Formulation and Testing of a New Water Quality Index

1977 ◽  
Vol 12 (1) ◽  
pp. 101-120
Author(s):  
B. Ibbotson ◽  
B.J. Adams
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Quality Data ◽  
Water Quality Parameter ◽  
Expert Assessment ◽  
Specific Situation ◽  
Water Quality Data ◽  
Environmental Indices

Abstract The necessity of protecting our environment has promoted the development of new ways to communicate environmental information to both policy makers and the general public. In response to an increased interest in environmental indices, this paper forwards a new formulation which translates water quality parameter values into simple numerical results which can then be summed to give water quality index scores. The mechanism uses the matrix format to organize and display results with water quality parameters on one axis and common water activities on the other. The mechanism's task is then to assess the suitability of each parameter to each activity, and subsequently, to render the results into simple scores. The index can be applied to any situation in which water quality is a consideration. Its applicability lies in its offering to the perspective user the opportunity to calibrate the index to the needs of a specific situation. The procedure offers a systematic approach that is highly flexible and that generates results which are easily understood. The principal reasons for developing this index mechanism are to enable presentation of a simplified measure of water quality and to augment expert assessment of raw water quality data, not to supplant this important aspect of water quality management.

scholarly journals DETERMINATION OF WATER QUALITY INDEX RIVER BHAGIRATHI IN UTTARKASHI, UTTARAKHAND, INDIA

2015 ◽  
Vol 3 (9SE) ◽  
pp. 1-7
Author(s):  
S.K. Pathak ◽  
Shambhu Prasad ◽  
Tanmay Pathak
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Oxygen Demand ◽  
Total Alkalinity ◽  
Total Hardness ◽  
Index Number ◽  
Quality Of Water

The present paper was intended to calculate water quality index (WQI) of river Bhagirathi. It is one of the tributary of holy river Ganga of India. In order to determine the quality of its water for public use, recreation and other purposes , the eleven parameters like pH, electric conductivity, Total dissolve solids, Total suspended solids, Dissolve oxygen , Biological oxygen demand, Total alkalinity, Total hardness, Chloride, Nitrate and Sulphate were determine. The water quality index calculated from the observed parameters indicate the river Bhagirathi at  Uttarakhand during winter was under good water quality condition, while at summer and rainy season of showed poor water quality index. In terms of index number ,offers a useful representation of overall quality of water for public or for any intended use as well as in the pollution mitigate plan and in water quality management.

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