2005
DOI: 10.1007/s11270-005-4286-7
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Spatial and Temporal Variations of Water Quality in the Han River and Its Tributaries, Seoul, Korea, 1993–2002

Abstract: Spatial and temporal variations of eight selected water quality measurements were examined for the 26 stations located in the Han River and its tributaries within the city of Seoul from 1993 to 2002. The eight measurements are water temperature, pH, dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, suspended solid, total nitrogen and total phosphorus. There is no discernable increase or decrease in water quality measurements in four representative stations. A striking longitudinal variation … Show more

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Cited by 112 publications
(82 citation statements)
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“…In addition, concentrations of BOD 5 in the present study were only lower than those in Han River and its tributaries of Korea (Chang 2005), while concentrations of TN and TP were similar to those in Han River and its tributaries. On the other hand, concentrations of TN were higher than those in Jinshui River (Bu et al 2010), Yangtze River (China) (Müller et al 2008), Gomti River (India) (Singh et al 2005), and Pardo River (Brazil) (Da Silva and Sacomani 2001).…”
Section: Occurrence Of the Target Analytescontrasting
confidence: 46%
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“…In addition, concentrations of BOD 5 in the present study were only lower than those in Han River and its tributaries of Korea (Chang 2005), while concentrations of TN and TP were similar to those in Han River and its tributaries. On the other hand, concentrations of TN were higher than those in Jinshui River (Bu et al 2010), Yangtze River (China) (Müller et al 2008), Gomti River (India) (Singh et al 2005), and Pardo River (Brazil) (Da Silva and Sacomani 2001).…”
Section: Occurrence Of the Target Analytescontrasting
confidence: 46%
“…However, the concentrations of As, Se, Cd, Cr, Ni, Cu, Pb, and Zn within the urban villages were in the ranges (mean) of 1. , respectively. Generally, COD cr concentrations in the urban streams of Guangzhou were greater than those in rivers of the Pearl River Delta (Fan et al 2010), Jinshui River (Bu et al 2010), Qiantang River (Su et al 2011), Yangtze River (Müller et al 2008, and Songhua River (Wang et al 2013) of China, Gomti River (India) (Singh et al 2005), Fuji River (Japan) (Shrestha and Kazama 2007), Han River and its tributaries (Korea) (Chang 2005), Pisuerga River (Spain) (Vega et al 1998),…”
Section: Occurrence Of the Target Analytesmentioning
confidence: 97%
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“…The value of correlation coefficient equals -0.66 for the pair DO and T, and 0.83 for DO with OS. It can be explained by the fact that OS is calculated based on DO, taking into consideration the values of temperature, atmospheric pressure and water salinity (Chang 2005;Yunus and Nakagoshi 2004). It is though not surprising that the relation between DO and water temperature (T) is inversely proportional; with the increase of temperature the value of DO decreases (correlation -0.66).…”
Section: Relations Between Physicochemical Parameters Of Watermentioning
confidence: 99%
“…In such case, CA permits to determine whether water quality can be modified with the watercourse flow and allows identification of areas with specific properties of water. Samples collected from one watercourse can be grouped into two-clean and polluted, or three-clean, highly and medium polluted clusters representing similar water properties (Brogueira and Cabeçadas 2006;Chang 2005;Kannel et al 2007;Reghunath et al 2002). Marengo et al (1995) mentions application of CA for samples from Lagoon of Venice collected from various sites and at different seasons of the year.…”
Section: Introductionmentioning
confidence: 99%