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

Fathi, Ehsan; Zamani‐Ahmadmahmoodi, Rasool; Bidaki, Rafat Zare

doi:10.1007/s13201-018-0859-7

Cited by 79 publications

(33 citation statements)

References 19 publications

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“…The extreme level of pollution may be due to various anthropogenic activities such as direct discharge of wastewater from surrounding households into the stream and deposition of various solid waste into the stream. Similar study by Fathi et al [35] reported that the WQI of the stream in the study increased from upstream to downstream.…”

Section: Discussionsupporting

confidence: 87%

Correlates of Pollution Load and Assessment of Water Quality Index of a Major Stream along Yemetu Community in Ibadan Nigeria

Amubieya¹,

Oloruntoba²,

Adejumo³

et al. 2020

EESRJ

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This study aimed at assessing the correlates of pollution loads and water quality index of a major stream along Yemetu community in Ibadan, Nigeria. Water samples were collected during the raining season at eight sampling points (S1 to S8) for four weeks for physicochemical and bacteriological analyses using standard methods described by American Public Health Association (APHA) (2005). Pearson correlation coefficient was used to identify correlated parameters and Water Quality Index (WQI) was used to classify the quality of the water. The pH at all sampling points were slightly acidic, Total coliforms and E. coli counts were higher than the permissible limits, BOD5 was significantly correlated with COD (r = 0.97, P<0.01), EC (r = 0.71, P<0.05), TDS (r = 0.75, P<0.05), TCC (r = 0.89, P<0.05), and E. coli (r = 0.86, P<0.05). The WQI ranged from 227 (very poor water) in S1 to 667 (water unsuitable for drinking) in S7. The study recommends effective monitoring of water quality of the stream (most especially the bacteriological characteristics) through the control of various anthropogenic activities around the stream by the appropriate authorities.

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Section: Discussionsupporting

confidence: 87%

Correlates of Pollution Load and Assessment of Water Quality Index of a Major Stream along Yemetu Community in Ibadan Nigeria

Amubieya¹,

Oloruntoba²,

Adejumo³

et al. 2020

EESRJ

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“…Nevertheless, water that is deemed fit for one purpose may be undesirable for another, as such an integrated approach which incorporates all the relevant chemical parameters of interest, usually guided by WHO [20], and local e Scientific World Journal drinking water standards in a particular groundwater system is relevant in characterising the suitability of water domestic for purpose. e water quality index (WQI) has been adopted by many studies for such purposes [48][49][50][51][52]. e same has been adopted in this study, the weighted arithmetic index approach modified after Brown et al [53], to assess the quality of groundwater for drinking purposes.…”

Section: Methodsmentioning

confidence: 99%

Assessment of Groundwater Quality in the Talensi District, Northern Ghana

Chegbeleh

Akurugu

Yidana

2020

The Scientific World Journal

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A comprehensive chemical quality assessment of groundwater resources in the Talensi District has been conducted using conventional graphical methods and multivariate statistical techniques. The study sought to determine the main controls of groundwater chemistry and its suitability for domestic and irrigation purposes in the district. Silicate and carbonate mineral weathering were identified as the main controls on groundwater chemistry in the district, with reverse ion exchange also playing a role. High nitrate and lead levels observed have been associated with agrochemicals and wastewater from farms and homes. Three main flow regimes have been identified with Q-mode cluster analysis, in which mixed cation water types have been revealed, where areas designated as recharge zones are dominated by Na+ + K+–Mg2+–HCO3− fresh water types characterised by low mineralisation and pH, which evolve into Mg2+– Na+ + K+– HCO3− fresh water type with corresponding increased mineralisation of the groundwater. Based on the water quality index (WQI) technique modified for the district and an interpolation technique using ordinary kriging developed from a well-fitted exponential semivariogram for the estimated WQIs, the groundwater quality has been spatially classified as generally ‘good’ to ‘excellent’ for domestic purposes. Generally, the quality of groundwater for domestic usage deteriorates as one moves towards the north of the district, whereas waters in the east and west present the best quality. Classifications based on the United States Salinity Laboratory (USSL), Wilcox, and Doneen diagrams suggest that groundwater from the unconfined aquifers of the district is of excellent quality for irrigation purposes.

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“…e most harmful pollution to the surface water bodies is due to the role of increasing contamination from industrial and urban wastewater along with the runoff from the agricultural land. e characteristics of the surface contaminations are considered as a nonpoint source, while industrial and municipal discharges are considered as a main point source due to the influenced responsibilities of water pollution [5][6][7]. Precipitations due to the climate change, surface flow, ground water flow, and the flow due to the pump are the major ones responsible for the discharge of the river along with the pollutant concentration on the surface water [5].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Impact of Anthropogenic and Natural Sources of Pollution on Quality of Water in Upper Indus Basin (UIB) by Using Multivariate Statistical Analysis

Baluch

Hashmi

2019

Journal of Chemistry

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Water quality of the Indus River around the upper basin and the main river was evaluated with the help of statistical analysis. In order to analyze the similarities and dissimilarities for identifying the spatial variations in water quality of the Indus River and sources of contamination, multivariate statistical analysis, i.e., principle component analysis (PCA), cluster analysis, and descriptive analysis, was done. Data of 8 physicochemical quality parameters from 64 sampling stations belonging to 6 regions (labeled as M1, M2, M3, M4, M5, and M6) were used for analysis. The parameters used for assessing the water quality were pH, dissolved oxygen (DO), oxygen reducing potential (ORP), electrical conductivity (EC), total dissolved solids (TDS), salinity (%), and concentration of arsenic (As) and lead (Pb), respectively. PCA assisted in extracting and recognizing the responsible variation factors of water quality over the region, and the results showed three underlying factors including anthropogenic source pollution along with runoff due to rain and soil erosion were responsible for explaining the 93.87% of total variance. The parameters which were significantly influenced by anthropogenic impact are DO, EC, TDS (negative), and concentration of Pb (positive), while the concentration of As, % salinity, and ORP are affected by erosion and runoff due to rain. The worst pollution situation for regions M1 and M6 was due to the concentration of As which was approximately 400 μg/l (i.e., 40 times higher than minimum WHO recommendation). Furthermore, the results also indicated that, in the Indus River, three monitoring stations and five quality parameters are sufficient to have a reasonable confidence about the quality of water in this most important reserve of Pakistan.

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

Cited by 79 publications

References 19 publications

Correlates of Pollution Load and Assessment of Water Quality Index of a Major Stream along Yemetu Community in Ibadan Nigeria

Correlates of Pollution Load and Assessment of Water Quality Index of a Major Stream along Yemetu Community in Ibadan Nigeria

Assessment of Groundwater Quality in the Talensi District, Northern Ghana

Investigating the Impact of Anthropogenic and Natural Sources of Pollution on Quality of Water in Upper Indus Basin (UIB) by Using Multivariate Statistical Analysis

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