Water Quality Index: is it Possible to Measure with Fuzzy Logic?

Choupina, Alexandre; Pereira, Elisabeth; Soares, Samara Silva; Arruda, Poliana Nascimento; Ribeiro, Francis Lee; Scalize, Paulo Sérgio

doi:10.1002/9781119644552.ch6

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…Many WQIs have been formulated, such as the NSF WQI, the Canadian Council of Ministers of the Environment (CCME WQI), the British Columbia WQI (BC WQI), and the Oregon WQI (OW QI). However, due to the number of variables and their averages, it presents failure in its sum of products and that water quality can be considered "good" even if one of the parameters is classified as" " so bad" (Choupina et al, 2019). Therefore, the need arises to determine an index to determine the water quality of the Utcubamba river in Peru.…”

Section: Dqwi Validationmentioning

confidence: 99%

Water quality index using fuzzy logic Utcubamba River, Peru

Huatangari

Ochoa

Pino

et al. 2020

rcia

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Water is a fundamental nutrient in the life of any living being. Therefore, it is necessary to estimate its quality, because it is an issue of increasing concern countries around the world for reasons such as the health of the population, regional, national and international economic development, and the environmental quality of the ecosystems. One tool that has been used to know the state of the water is the water quality indexes (WQI). The objective of this research was to develop a WQI based on fuzzy logic, which allows for the estimation of water quality in the Utcubamba River. The methodology used was proposed by Icaga in 2007. To evaluate the proposed WQI called "Diffuse Water Quality Index" (DWQI), sixteen points from the sampling conducted by the Research Institute for Sustainable Development during October 2014 on the Utcubamba River and its tributaries were used. To validate the index, it was necessary to estimate the correlation coefficient R2 between the results obtained and those of the NSF WQI wáter quality index reported by the Water Research Center. This new index presented results and reasonable correlation, R2 = 0.81. It is concluded that DWQI can be used as a tool for decision making in the water management of the Utcubamba River.

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Section: Dqwi Validationmentioning

confidence: 99%

Water quality index using fuzzy logic Utcubamba River, Peru

Huatangari

Ochoa

Pino

et al. 2020

rcia

View full text Add to dashboard Cite

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Índices de calidad de agua en México y Colombia. Evolución, criterios y cambios

Gaytán-Alarcón

González-Elizondo

Gómez

et al. 2022

I2+D

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The Water Quality Index (WQI) is a simple and easy-to-understand tool for analyzing and reporting quality trends. Water quality is not static and depends on multiple factors, in this sense; globally various indices have been developed based on local water quality criteria. This paper explores and discusses about water quality assessment and their steps taking into account the widely used index models in the world. These steps include selecting the parameters, sub-index generation, weightings of the parameters, and sub-indices aggregation. The advantages and disadvantages of each index identified,and the main limitations that arise in the calculation of the different methodologies detected. These limitations are the subjectivity in selecting and weighing the parameters and the ambiguity and eclipsing in the aggregation stage. Objectivemethodological tools to solve these limitations consider the use of statistical and fuzzy logic techniques. The CCMEWQI is a versatile water quality index, since it allows the determination of the temporal and spatial conditions for the different uses in a specific way, achieving with regulations, and based on the analysis of monitoring data for each region.

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Water Quality Index: is it Possible to Measure with Fuzzy Logic?

Cited by 2 publications

References 23 publications

Water quality index using fuzzy logic Utcubamba River, Peru

Water quality index using fuzzy logic Utcubamba River, Peru

Índices de calidad de agua en México y Colombia. Evolución, criterios y cambios

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