Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management

Zhao, Jian; Guo, Fei; Lei, Kim Man Jacky; Li, Yanwu

doi:10.1016/s1001-0742(10)60599-2

Cited by 109 publications

(78 citation statements)

References 31 publications

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“…In another study, HCA and PCA were applied using 10 chemical variables in 247 samples to classify groundwater [14]. River water quality was analysed in the Three Gorges area of China to investigate spatial and temporal variations along with identifi cation of potential pollution sources [15]. After multivariate analyses, researchers determined major pollution factors and obtained fundamental information to develop better water pollution control strategies.…”

Section: Application Of Multivariate Statistical Methodsmentioning

confidence: 99%

Application of Multivariate Statistical Methods for Water Quality Assessment of Karasu-Sarmisakli Creeks and Kizilirmak River in Kayseri, Turkey

Özdemir¹

2016

Pol. J. Environ. Stud.

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Monitoring water quality of rivers has particular ecological, economic, and environmental importance for a region. However, long-term monitoring of a river network requires a large amount of analysis with high work load and cost. In this study, multivariate analysis was performed to decrease the number of parameters and sampling points for monitoring water quality in the Kızılırmak River and its southern ranches of Karasu and Sarmısaklı creeks. On the study area, water quality parameters were collected from seven sampling points for 2004-07 and 2010-14. Multivariate statistical analysis was performed by hierarchical cluster analysis and principal component analysis for the evaluation of parameter variations and dataset interpretation. The dataset was divided into periods A and B to evaluate the effects of seasonal changes on sampling points and parameters.

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Section: Application Of Multivariate Statistical Methodsmentioning

confidence: 99%

Application of Multivariate Statistical Methods for Water Quality Assessment of Karasu-Sarmisakli Creeks and Kizilirmak River in Kayseri, Turkey

Özdemir¹

2016

Pol. J. Environ. Stud.

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“…There has been a growing global concern among freshwater biologists about the alteration of aquatic ecosystems, rapid deterioration of water quality, destruction of riverine environment, and significant decline in the species diversity and abundance of stream fishes (Shrestha 2008;Zhao et al 2011). Most freshwater ecological studies have strongly suggested biological monitoring of waterbodies along with the environmental characteristics (Dudgeon 1999;Wetzel 2001;Wu et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Correlations between fish assemblage structure and environmental variables of the Seti Gandaki River Basin, Nepal

Pokharel

Basnet

Majupuria

et al. 2018

Journal of Freshwater Ecology

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This paper addresses the relationship between fish and environmental variables from the Seti Gandaki River Pokhara, Nepal. The water bodies previously had higher abundance and distribution of fishes, which are declining probably due to deterioration of abiotic characteristics and degradation of habitat. Five study sites were: three along the main channel and two along the tributaries. Water sampling was conducted fortnightly and fish sampling was done monthly. Altogether 30 species of fishes belonging to 5 orders, 9 families and 24 genera were recorded. The redundancy analysis (RDA) revealed significant correlations between fish assemblage and environmental variables. The first two axes accounted for 44.15% of the variation of which RDA1 explained 30.32% and correlated with conductivity, pH, dissolved oxygen, free carbon dioxide, orthophosphate, nitrite and silicates; while RDA2 explained 13.83% and correlated with depth, width, discharge and nitrates. Likewise, RDA1 revealed a gradient from species that require more oxygenated waters of upstream sites (Schizothorax richardsonii, Pseudecheneis eddsi, Naziritor chelynoides, Garra annandalei, Schistura rupecula and Lepidocephalichthys guntea) to less oxygenated urban and downstream sites (Puntius sophore, Pethia conchonius, Barilius bendelisis, Barilius vagra, Garra gotyla, Mastacembelus armatus and Channa orientalis). RDA2 revealed the gradient from species inhabiting urban and downstream sites to upstream sites.

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“…From soil particle size distribution (PSD), the D value can be used to estimate the specific surface area and cation exchange capacity (Erasahin et al 2006). As a measure of the occupation degree that pertain to geometric object (Frontier 1987), fractal dimension can also describe soil structure and properties (Yoder 1936;Coşkun 2006;Zhao et al 2011;Daniel et al 2013). In a study of interrill erosion, Abbas et al (2011) found that the fragmentation D (D n ) (Rieu and Sposito 1991) and mass D (D m ) (Tyler and Wheatcraft 1989) were suitable for predicting soil erodibility.…”

Section: Introductionmentioning

confidence: 99%

Particle fractal dimension and total phosphorus of soil in a typical watershed of Yangtze River, China

Liu

2014

Environ Earth Sci

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Phosphorous (P) is an essential nutrient in soil which can lead to eutrophication when eroding into rivers or lakes. As a new method to represent soil properties, fractal theory was applied to study soil characteristics and related process. To understand the correlation of total soil P (TSP) and fractal dimension (D) with the effect of soil depth and slope gradient, soil grid samples were collected at 0-10, 10-20 and 20-40 cm depths in Yingwugou watershed, Yangtze River, China. The physico-chemical properties of the samples were analyzed to determine the TSP content and D. Fractal scaling theory was then applied to establish the relationship between D and TSP. With silt as the dominant particle size, the D values of the study area were in the range of 2.42-2.55. On the flat ground, more fine particles (clay and silt) were reserved and on the contrary relatively high content of coarse sand was retained on steep slope. D values decreased with slope and soil depth increased. The average TSP contents of the three layers were 0.65, 0.63 and 0.57 g/kg for 0-10, 10-20 and 20-40 cm, respectively, showing a decreasing tendency with increased soil depth. With increasing slope gradient, the TSP contents decreased first and then increased slowly. The TSP contents were positively related to silt content (P \ 0.05) and clay content (P \ 0.05) and negatively associated with sand contents (P \ 0.01). There was an one-dimensional linear relationship (n = 530, R 2 = 0.16, P \ 0.01) between TSP content and D values. The correlation would improve when concrete slope was taken into account. To better understand and control soil erosion, the relationship between D value and soil nutrients deserves more attention.

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Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management

Cited by 109 publications

References 31 publications

Application of Multivariate Statistical Methods for Water Quality Assessment of Karasu-Sarmisakli Creeks and Kizilirmak River in Kayseri, Turkey

Application of Multivariate Statistical Methods for Water Quality Assessment of Karasu-Sarmisakli Creeks and Kizilirmak River in Kayseri, Turkey

Correlations between fish assemblage structure and environmental variables of the Seti Gandaki River Basin, Nepal

Particle fractal dimension and total phosphorus of soil in a typical watershed of Yangtze River, China

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