Desalination and Water Treatment

2014

DOI: 10.1080/19443994.2014.913206

|View full text |Cite

|

Sign up to set email alerts

|

Evaluation of Aydughmush River water quality using the National Sanitation Foundation Water Quality Index (NSFWQI), River Pollution Index (RPI), and Forestry Water Quality Index (FWQI)

Edris Hoseinzadeh

¹

,

Hassan Khorsandi

²

,

³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction2

Assessment Of Water Quality Based On Water Quality Index Models1

Water Quality Index1

Assessment Methods Of Surface Water1

Citation Types

Supporting

0

Mentioning

28

Contrasting

0

Unclassified

1

Year Published

2016

2016

2024

2024

Publication Types

Select...

Article6

Book3

Preprint1

Relationship

Self Cite0

Independent10

Authors

Journals

Cited by 71 publications

(29 citation statements)

References 7 publications

Supporting

0

Mentioning

28

Contrasting

0

Unclassified

1

Order By: Relevance

“…A water quality index model is an important and accepted tool to assess the overall quality of water [15,18]. It synthesizes the composite effect of various water quality parameters in a simple and single reproducible number [40,41]. The literature reveals that it is hard to simplify the quality of water with a specific water quality model [15].…”

Section: Assessment Of Water Quality Based On Water Quality Index Modelsmentioning

confidence: 99%

Evaluation of drinking water quality using the water quality index (WQI), the synthetic pollution index (SPI) and geospatial tools in Thatta district, Pakistan

et al. 2019

Desalination and Water Treatment

View full text Add to dashboard Cite

The objective of the present study was to evaluate the quality of groundwater in the deltaic region of the Indus River in district Thatta, Pakistan. In the region, the groundwater is widely used for drinking purposes. Due to excessive abstraction rates of groundwater, a significant amount of seawater intrudes into the aquifers. The situation is, furthermore aggravated by dwindling flows of freshwater from the river Indus. Thus, groundwater samples (100) were analyzed for different physicochemical parameters. A number of water quality parameters crossed the WHO guidelines. The WQI model revealed that 8%, 57%, 20%, and 15% of the samples were good, poor, very poor and unsuitable for drinking purposes, respectively. Likewise, the SPI model indicated that 10%, 55%, 19%, and 16% were slightly polluted, moderately polluted, highly polluted and unsuitable for drinking. Though the model's input is different, the proportionate of ranking revealed a significant correlation (R 2 = 0.78) between the outcomes of both models. The geospatial mapping of physicochemical parameters, WQI, and SPI model outcomes indicated that most of the groundwater resource in the study area is contaminated, thus not suitable for drinking purposes. The methodology developed in this study is extendable to other similar environments in the world.

“…A water quality index model is an important and accepted tool to assess the overall quality of water [15,18]. It synthesizes the composite effect of various water quality parameters in a simple and single reproducible number [40,41]. The literature reveals that it is hard to simplify the quality of water with a specific water quality model [15].…”

Section: Assessment Of Water Quality Based On Water Quality Index Modelsmentioning

confidence: 99%

Evaluation of drinking water quality using the water quality index (WQI), the synthetic pollution index (SPI) and geospatial tools in Thatta district, Pakistan

et al. 2019

Desalination and Water Treatment

View full text Add to dashboard Cite

The objective of the present study was to evaluate the quality of groundwater in the deltaic region of the Indus River in district Thatta, Pakistan. In the region, the groundwater is widely used for drinking purposes. Due to excessive abstraction rates of groundwater, a significant amount of seawater intrudes into the aquifers. The situation is, furthermore aggravated by dwindling flows of freshwater from the river Indus. Thus, groundwater samples (100) were analyzed for different physicochemical parameters. A number of water quality parameters crossed the WHO guidelines. The WQI model revealed that 8%, 57%, 20%, and 15% of the samples were good, poor, very poor and unsuitable for drinking purposes, respectively. Likewise, the SPI model indicated that 10%, 55%, 19%, and 16% were slightly polluted, moderately polluted, highly polluted and unsuitable for drinking. Though the model's input is different, the proportionate of ranking revealed a significant correlation (R 2 = 0.78) between the outcomes of both models. The geospatial mapping of physicochemical parameters, WQI, and SPI model outcomes indicated that most of the groundwater resource in the study area is contaminated, thus not suitable for drinking purposes. The methodology developed in this study is extendable to other similar environments in the world.

“…Monitoring and controlling surface waters are necessary and vital to assure the availability of high-quality water for its many uses (Bollinger et al 1999;Sánchez et al 2007). One of simple methods that can recount the qualitative conditions of water is the use of water quality indexes (Hoseinzadeh et al 2015;Barakat et al 2018). The National Sanitation Foundation Water Quality Index (NSFWQI) is one of the popular indexes classifying surface water quality that is determined based on temperature, phosphate, nitrate, dissolved oxygen, total solids, biological oxygen demand, pH, and fecal coliform bacteria.…”

Section: Introductionmentioning

confidence: 99%

Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran

¹

,

Zamani‐Ahmadmahmoodi

²

,

³

2018

Appl Water Sci

View full text Add to dashboard Cite

Rivers are critical to agriculture, industry, and the needs of humans and wildlife. This study evaluates the water quality of the Beheshtabad River in Iran's Chaharmahal and Bakhtiari Province, using water quality index and multivariate statistical methods. Nitrate, temperature, phosphate, turbidity, dissolved oxygen, biological oxygen demand, electrical conductivity, total solids, and pH were measured at five selected stations along the river over 6 months using standard methods. Water quality index results demonstrated that water quality varied in the selected stations between average and good and that pollution in this section of the Beheshtabad River increases from upstream to downstream. Clustering and principal component analysis were also utilized. Multivariate statistical methods were used to analyze water conditions for efficient management of surface water quality. Agricultural fertilizers, upstream wastewater discharge, and fish farms constitute the main elements that decrease the water quality of the Beheshtabad River. To preserve this water resource against pollution, the implementation of stringent rules and guidelines are needed to enhance health and preserve water resources for future generations.

“…This limitation is actually due to the WQI being calculated only by concentration measurements. This means that the impact of the water flow is not considered (Hoseinzadeh et al, 2015…”

Section: Water Quality Indexmentioning

confidence: 99%

Using the pollutant load concept to assess water quality in an urban river: the case of Carahá River (Lages, Brazil)

et al. 2018

Rev. ambiente água

View full text Add to dashboard Cite

The objective of this study was to evaluate the water quality of Carahá River in Lages (Brazil), using the concept of pollutant load and comparing the results with the water quality index. Thirteen points along the river were selected and eight collections were carried out over a period of 16 months. The parameters analysed were those required for the calculation of the water quality index (WQI). Flow measurements were also carried out, which enabled the calculation of the polluting load. The results showed that the WQI score ranges between 24.95 at the source and peaks at 40 at the outlet. The water classification, therefore, ranges from “very bad” to “bad”. The calculation of the pollutant load showed a constant disposal of contaminants into the river, which demonstrates that the quality of the water is continuously degraded. This information could not be obtained by analysing only the WQI, which presented a nearly constant quality at point 4 and beyond. The use of the calculation of pollutant load for Carahá River is, therefore, a tool for assessment of pollution that can provide more appropriate information for the water resources management.

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Product

Browser Extension Assistant by scite Citation Statement Search Reference Check Visualizations Dashboards Explore Journals Explore Organizations Explore Funders Embedding Badge Embedding Citation Search Pricing

Resources

Blog Help & FAQ Accessibility Statement API Terms For Universities & Governments For Researchers For Publishers For Corporate, Pharma & Enterprise Author Marketing Become an Affiliate Get an organization trial or quote scite Data & Services

About

News & Press Careers Read our Paper Coverage

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Copyright © 2024 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.