Application of multivariate statistical techniques in the assessment of water quality in Sakarya River, Turkey

Yerel, Suheyla; Ankara, Huseyin

doi:10.1007/s12594-011-0121-5

Cited by 10 publications

(7 citation statements)

References 13 publications

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“…Thus, the number of physicochemical parameters, siltation depth in observed stations and cost in monitoring the network can be reduced without losing any significance of the outcome. The same aspects have also been found in similar studies [16][17][18].…”

Section: Resultssupporting

confidence: 88%

Variation of Water Quality Parameters with Siltation Depth for River Ichamati Along International Border with Bangladesh Using Multivariate Statistical Techniques

Roy

Pal

Banerjee

et al. 2014

J. Inst. Eng. India Ser. E

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River is considered as one of the main sources of freshwater all over the world. Hence analysis and maintenance of this water resource is globally considered a matter of major concern. This paper deals with the assessment of surface water quality of the Ichamati river using multivariate statistical techniques. Eight distinct surface water quality observation stations were located and samples were collected. For the samples collected statistical techniques were applied to the physico-chemical parameters and depth of siltation. In this paper cluster analysis is done to determine the relations between surface water quality and siltation depth of river Ichamati. Multiple regressions and mathematical equation modeling have been done to characterize surface water quality of Ichamati river on the basis of physico-chemical parameters. It was found that surface water quality of the downstream river was different from the water quality of the upstream. The analysis of the water quality parameters of the Ichamati river clearly indicate high pollution load on the river water which can be accounted to agricultural discharge, tidal effect and soil erosion. The results further reveal that with the increase in depth of siltation, water quality degraded.

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Section: Resultssupporting

confidence: 88%

Variation of Water Quality Parameters with Siltation Depth for River Ichamati Along International Border with Bangladesh Using Multivariate Statistical Techniques

Roy

Pal

Banerjee

et al. 2014

J. Inst. Eng. India Ser. E

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“…Between the two factors, factor 1 explained 76.3% of the total variation and exhibited a high negative loading of PO 3À 4 (SRP), T-P, NH þ 4 ÀN, NO À 2 ÀN, and T-N (absolute values in the range of 0.96 to 0.99) (see Figure 5b). Because high loading values indicated a robust linear correlation between factors and parameters (Yerel and Ankara, 2012), various nutrients (i.e., SRP, T-P, NH þ 4 ÀN, NO À 2 ÀN, and T-N) were determined to be the most dominant limiting factors for the growth and biomass accumulation of M. aeruginosa. Factor 2 explained 20.7% of the total variation and exhibited a high positive loading in the N/P ratio (absolute value of 0.96) (see Figure 5b).…”

Section: Resultsmentioning

confidence: 99%

Algal Growth Potential of Microcystis aeruginosa from Reclaimed Water

Joo¹,

Ahn

Lee

et al. 2016

Water Environment Research

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Algal growth potential (AGP) of the cyanobacterium Microcystis aeruginosa (M. aeruginosa, NIES-298) using reclaimed water from various wastewater reclamation pilot plants was investigated to evaluate the feasibility of the reclaimed water usage for recreational purposes. After completing the coagulation and ultrafiltration processes, the concentrations of most contaminants in the reclaimed water were lower than the reuse guidelines for recreational water. However, M. aeruginosa successfully adapted to low levels of soluble reactive phosphorus (PO(3-)(4)) concentrations. The AGP values of M. aeruginosa decreased with the progression of treatment processes, and with the increases in the dilution volume. Also, both the AGP and chlorophyll-a values can be estimated a priori without conducting the AGP tests. Therefore, aquatic ecosystems in locations prone to environmental conditions favorable for the growth of M. aeruginosa require more rigorous nutrient management plans (e.g., reverse osmosis and dilution with clean water resources) to reduce the nutrient availability.

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“…The fourth component had strong positive loading on biochemical oxygen demand presented 13.90 % of the total variance. The factor loadings were marked as strong (VF > 0.75), moderate (0.75 < VF > 0.5) and weak (< 0.50) corresponding to absolute varifactors values, respectively [19].…”

Section: Discriminant Analysismentioning

confidence: 99%

Chemometric Application on Surface River Water Quality: A Case Study of Linggi River, Malaysia

Khalik¹

2015

IJEE

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Application of multivariate statistical techniques in the assessment of water quality in Sakarya River, Turkey

Cited by 10 publications

References 13 publications

Variation of Water Quality Parameters with Siltation Depth for River Ichamati Along International Border with Bangladesh Using Multivariate Statistical Techniques

Variation of Water Quality Parameters with Siltation Depth for River Ichamati Along International Border with Bangladesh Using Multivariate Statistical Techniques

Algal Growth Potential of Microcystis aeruginosa from Reclaimed Water

Chemometric Application on Surface River Water Quality: A Case Study of Linggi River, Malaysia

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