Temporal water quality response in an urban river: a case study in peninsular Malaysia

VishnuRadhan, Renjith; Zainudin, Zaki; Sreekanth, G. B.; Dhiman, Ravinder; Salleh, Mohd. Noor; Vethamony, P.

doi:10.1007/s13201-015-0303-1

Cited by 25 publications

(12 citation statements)

References 20 publications

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“…One of the major factors for that is the temperature of water. On the one hand, it increases the toxic properties of to xicants for liv ing organisms; on the other hand, it contributes to intensification of self-purificat ion process in reservoirs (VishnuRadhan et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Krupa¹,

Barınova²,

Asylbekova³

et al. 2018

Turk. J. Fish. Aquat. Sci.

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The Shardara reservoir is located in southernmost Kazakhstan, in the zone of intensive farming and industrial development. Zooplankton and basic parameters of the environment have been studied in the summer of 2015. Zooplankton was represented by 60 species. The average abundance of the community amounted to 92.9 thous. specimens m -3 , with biomass of 966.0 mg m -3 . Copepods and rotifers dominated. The Shannon index values were equal to 2.24 bit specimen -1 and 1.23 bit mg -1 . The average individual mass of a specimen reached 0.0082 mg. Nonparametric and multivariate analysis of the data showed that macrophytes, nitrates, total nitrogen, organic polyphosphates, and copper favorably influenced Rotifera. Possible reasons for a positive relationship between quantitative indicators of Cladocera and zinc content are discussed. The main negative factors for Copepoda were organic polyphosphates, nitrites, total nitrogen, cadmium, and lead. Decrease in the Shannon index values under the influence of cadmium, ammonium, HCCH isomers is associated with increased dominance of Acanthocyclops trajani in the contaminated areas. There was no significant impact of heavy metals and pesticides on most of the structural indicators of zooplankton which can be due to the complex nature of contamination of the reservoir.

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Section: Introductionmentioning

confidence: 99%

Untitled

Krupa¹,

Barınova²,

Asylbekova³

et al. 2018

Turk. J. Fish. Aquat. Sci.

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“…A water quality index (WQI) helps in understanding the general water quality status of a water source and hence it has been applied for both surface and ground water quality assessment all around the world since the last few decades (Samantray et al 2009;Sharma and Kansal 2011;Alam and Pathak 2010;Sebastian and Yamakanamardi 2013;Seth et al 2014;Tyagi et al 2013;Bhutiani et al 2014;VishnuRadhan et al 2015;Yadav et al 2015;Dash et al 2015;Krishnan et al 2016;Kaviarasan et al 2016). The main purpose of developing a WQI is to transform a complex set of water quality data into lucid and exploitable information by which a layman can know the status of the water source (Akoteyon et al 2011;Balan et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Water quality assessment in terms of water quality index (WQI): case study of the Kolong River, Assam, India

2016

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The Kolong River of Nagaon district, Assam has been facing serious degradation leading to its current moribund condition due to a drastic human intervention in the form of an embankment put across it near its takeoff point from the Brahmaputra River in the year 1964. The blockage of the river flow was adopted as a flood control measure to protect its riparian areas, especially the Nagaon town, from flood hazard. The river, once a blooming distributary of the mighty Brahmaputra, had high navigability and rich riparian biodiversity with a well established agriculturally productive watershed. However, the present status of Kolong River is highly wretched as a consequence of the post-dam effects thus leaving it as stagnant pools of polluted water with negligible socioeconomic and ecological value. The Central Pollution Control Board, in one of its report has placed the Kolong River among 275 most polluted rivers of India. Thus, this study is conducted to analyze the seasonal water quality status of the Kolong River in terms of water quality index (WQI). The WQI scores shows very poor to unsuitable quality of water samples in almost all the seven sampling sites along the Kolong River. The water quality is found to be most deteriorated during monsoon season with an average WQI value of 122.47 as compared to pre-monsoon and postmonsoon season having average WQI value of 85.73 and 80.75, respectively. Out of the seven sampling sites, Hatimura site (S1) and Nagaon Town site (S4) are observed to be the most polluted sites.

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“…Therefore, it reduces river contamination and improves the rate of self-purification in highly degraded rivers [CASHMAN, PREENE 2013;YE et al 2012;YU et al 2011]. The water quality condition and response in the river can be an immediate yardstick for base lining river water quality, and a basis for water quality modeling studies in the region [VISHNURADHAN et al 2015].…”

Section: Introductionmentioning

confidence: 99%

Changes in water quality of a small urban river triggered by deep drainage of a construction site

Bartnik

Moniewski

2016

Journal of Water and Land Development

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The paper presents the results of the monitoring of the selected physicochemical properties of the Jasień River waters (in Łódź, the third biggest city of Poland) and their changes under the influence of drainage of a railway station Łódź Fabryczna construction site. Even 25 years ago the Jasień River was a receiver for the sewage from the Łódź textile factories. The drainage of the excavations and disposal of the water into the Jasień River was started on January 2014 and changed stable hydrological, physical and chemical regime of the river once again. In a consequence, average monthly flows exceeded the Jasień River flow in its upper section by six times, and at the beginning by even ten times. Chloride concentration was systematically growing over the study period. This growth and higher water pH were probably associated with increasing level of contaminants in the discharged water and its gradually decreasing uptake. Average annual water temperature increased and a decrease in its amplitude was observed. The annual conductivity and pH patterns became more uniform and the changes in pH followed a clear trend of monthly changes. Water turbidity increased by two times and during summer floods this parameter was often even a few times higher than before the drainage commenced. Chlorides improved water conductance and sodium and potassium increased basicity.

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Temporal water quality response in an urban river: a case study in peninsular Malaysia

Cited by 25 publications

References 20 publications

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Water quality assessment in terms of water quality index (WQI): case study of the Kolong River, Assam, India

Changes in water quality of a small urban river triggered by deep drainage of a construction site

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