Improved Method for Aggregation of Water Quality Subindices

Swamee, Prabhata K.; Tyagi, Aditya

doi:10.1061/(asce)0733-9372(2007)133:2(220)

Cited by 95 publications

(66 citation statements)

References 14 publications

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“…b) To study impacts of regulatory policies and environmental programs on environmental quality (Swamee & Tyagi 2007). c) To compare the water quality of different sources and sites, without making highly technical assessment of the water quality data (Sarkar and Abbasi 2006).…”

Section: Environmental Monitoring and Assessment (2016) 188:58mentioning

confidence: 99%

“…Thus, in the application of such WQIs, the users are able to incorporate as many parameters from the list of potential parameters. Such flexibility has the advantage that it will avoid rigidity (Swamee and Tyagi, 2007). However, not having a fixed set of parameters poses critical issues such as difficulty in making comparisons among monitored sites and among river basins (Terrado et al 2010).…”

mentioning

confidence: 99%

“…Although using the same set of parameters will allow the user to have a better comparison of water quality status among sites or among rivers, this will create a common problem in index application called "rigidity". Rigidity is manifested when necessity arises for additional important variables to be included in an index to address specific water quality concerns, but the user cannot add the new parameters needed for the future index application (Swamee and Tyagi, 2007).…”

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confidence: 99%

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Development of river water quality indices—a review

Sutadian

Muttil

Yilmaz

et al. 2015

Environ Monit Assess

343

210

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The use of water quality indices (WQIs) as a tool to evaluate the status of water quality in rivers has been introduced since the 1960s. The WQI transforms selected water quality parameters into a dimensionless number so that changes in river water quality at any particular location and time could be presented in a simple and easily understandable manner. Although many WQIs have been developed, there is no worldwide accepted method for implementing the steps used for developing a WQI. Thus, there is a continuing interest to develop accurate WQIs that suit a local or regional area. This paper aims to provide significant contribution to the development of future river WQIs through a review of 30 existing WQIs based on the four steps needed to develop a WQI. These steps are the selection of parameters, the generation of sub-indices, the generation of parameter weights and the aggregation process to compute the final index value. From the 30 reviewed WQIs, 7 were identified as most important based on their wider use and they were discussed in detail. It was observed that a major factor that influences wider use of a WQI is the support provided by the government and authorities to implement a WQI as the main tool to evaluate the status of rivers. Since there is a lot of subjectivity and uncertainty involved in the steps for developing and applying a WQI, it is recommended that the opinion of local water quality experts is taken, especially in the first three steps (through techniques like Delphi method). It was also observed that uncertainty and sensitivity analysis was rarely undertaken to reduce uncertainty and hence such an analysis is recommended for future studies.

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Section: Environmental Monitoring and Assessment (2016) 188:58mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Development of river water quality indices—a review

Sutadian

Muttil

Yilmaz

et al. 2015

Environ Monit Assess

343

210

View full text Add to dashboard Cite

show abstract

“…Various types of aggregation methods used for aggregation of quality-monitoring data to yield an overall quality index. Over the last three decades, a number of mathematical functions for aggregation of water quality and water pollution indices have been suggested (Horton 1965;Brown et al 1970;Prati et al 1971;Dinius 1972;Dee et al 1973;McDuffie and Haney 1973;Inhaber 1974;Walski and Parker 1974;Truett et al 1975;Landwehr and Deininger 1976;Ross 1977;Ott 1978;Stoner 1978;Ball and Church 1980;Bhargava 1983;Dinius 1987;House and Ellis 1987;Smith 1989Smith , 1990Dojlido et al 1994;Š tambuk-Giljanovic 1999;Pesce and Wunderlin 2000;Swamee and Tyagi 2000;Jonnalagadda and Mhere 2001;Cude 2001;Abbasi 2002;Nagels et al 2002;Said et al 2004;Debels et al 2005;Bordalo et al 2006;Kannel et al 2007;Swamee and Tyagi 2007). The different aggregation functions can be of additive, multiplicative, minimum or maximum operator forms.…”

Section: Introductionmentioning

confidence: 99%

Prediction of ground water quality index to assess suitability for drinking purposes using fuzzy rule-based approach

Gorai

Iqbal

2014

Appl Water Sci

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Groundwater is the most important natural resource for drinking water to many people around the world, especially in rural areas where the supply of treated water is not available. Drinking water resources cannot be optimally used and sustained unless the quality of water is properly assessed. To this end, an attempt has been made to develop a suitable methodology for the assessment of drinking water quality on the basis of 11 physico-chemical parameters. The present study aims to select the fuzzy aggregation approach for estimation of the water quality index of a sample to check the suitability for drinking purposes. Based on expert's opinion and author's judgement, 11 water quality (pollutant) variables (Alkalinity, Dissolved Solids (DS), Hardness, pH, Ca, Mg, Fe, Fluoride, As, Sulphate, Nitrates) are selected for the quality assessment. The output results of proposed methodology are compared with the output obtained from widely used deterministic method (weighted arithmetic mean aggregation) for the suitability of the developed methodology.

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“…Water quality degradation can be associated with changes in physico-chemical parameters, such as sediment load, nutrient concentrations, temperature, dissolved oxygen levels, pH (Swamee and Tyagi, 2007) and biological indicators at the individual, population and community levels (Abbasi and Abbasi, 2012). A Water Quality Index (WQI) (Lumb et al, 2011;Bordalo et al, 2001) offers a way to evaluate water quality from multiple parameters and simplify their interpretation.…”

Section: Introductionmentioning

confidence: 99%

A global scientific literature of research on water quality indices: trends, biases and future directions

2014

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Aim: Water quality has been the subject of many recent studies, moreover, the physical, chemical and biological parameters of water are used to investigate water quality and can be combined into a single index, the Water Quality Index (WQI), for use by water resource managers and the general public. The aim of this study was to use scientometrics to evaluate how water quality has been addressed in the international scientific literature. Method: For the quantitative analysis of the publications on WQI, we used the search database SCOPUS (http://www.scopus.com). The search was performed using the words "QUALIT* WATER* INDEX*" in papers published in all databases (through 2011). Results: We found 554 articles that dealt with the use of WQI the number of publications has increased significantly over the last 20 years. India had the most studies, with 177 articles, followed by China, Brazil and the United States. These four countries together published 57% of studies on WQI. We generated 15 linear models to explain the number of publication by study sit (country). According to the Akaike Information Criterion (AIC), the best model to explain the number of publications by country was the model that combined Sanitation and Public Supply. Conclusion: Finally, this paper presents the state of scientific literature on WQI and demonstrates the growing interest of the scientific community in this issue, which is certainly due to the importance of the quantity and quality of water for human supply, economics, health and the conservation of water resources.Keywords: scientometrics, river, stream, NSF, sanitation, water supply.Resumo: Objetivo: A qualidade da água tem sido objeto de muitos estudos recentes, além disso, os parâmetros físicos, químicos e biológicos da água são usados para investigar a qualidade da água e podem ser combinados em um único índice, um Índice de Qualidade de Água (IQA), para uso de recursos hídricos gestores e público em geral. O objetivo deste estudo foi utilizar a cienciometria para avaliar como a qualidade da água tem sido abordada na literatura científica internacional. Método: Para a análise quantitativa das publicações sobre IQA, foi utilizada a pesquisa de banco de dados SCOPUS (http://www.scopus.com). A pesquisa foi realizada utilizando as palavras "QUALIT* WATER* INDEX*", em artigos publicados em todos os bancos de dados (até 2011). Resultado: Encontramos 554 artigos que tratavam do uso de IQA, e o número de publicações aumentou significativamente ao longo dos últimos 20 anos. A Índia teve o maior número de estudos, com 177 artigos, seguidos por China, Brasil e Estados Unidos. Esses quatro países juntos publicados 57% dos estudos sobre IQA. Geramos 15 modelos lineares para explicar o número de publicação de estudo por país. De acordo com o Critério de Informação de Akaike (AIC), o melhor modelo para explicar o número de publicações por país foi o modelo que combinou Saneamento e Abastecimento Público. Discussão: Finalmente, este trabalho apresenta o estado da literatura científica...

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Improved Method for Aggregation of Water Quality Subindices

Cited by 95 publications

References 14 publications

Development of river water quality indices—a review

Development of river water quality indices—a review

Prediction of ground water quality index to assess suitability for drinking purposes using fuzzy rule-based approach

A global scientific literature of research on water quality indices: trends, biases and future directions

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