An assessment of water quality in dam reservoirs, considering their aggressive properties

Koszelnik, Piotr; Kaleta, J.; Bartoszek, Lilianna

doi:10.1051/e3sconf/20184500035

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…The mean pH value ranged from 7.14 to 7.6 indicating that the reservoir water was slightly alkaline. However, the pH recorded for this study was in contrast with the findings of (Koszelnik et al 2018) who reported pH value that varied from 7.84 to 7.98 in Southeastern Poland reservoirs. Reasons for pH differences in reservoir water could be as a result of the temperature of the day, soil composition and bedrock.…”

Section: Limnological Variablescontrasting

confidence: 99%

Limnological variables as a determinant of fish parasites abundance in the Esa-Odo reservoir, Esa-Odo Southwestern Nigeria

Obayemi

Komolafe

Onana

2023

Journal of Water and Health

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This study investigated fish parasites in relation to limnological variables of the Esa-Odo reservoir since the quality of the aquatic environment might influence parasitic infestation in fish. The purpose of this study was to provide information on the parasite species of the reservoir due to their public health concern and their relationship with selected water quality parameters. The water quality and parasite examinations were analyzed based on standard protocols in the laboratory. The results showed that water quality parameters were not significantly different (p > 0.05) across the zones. Seasonally, mean water temperature, pH, TDS, DO, organic matter, COD and turbidity were significantly different (p < 0.05) across the different zones of the reservoir while electrical conductivity, alkalinity, NO3-, and PO43- were not significantly different (p > 0.05). Clinostomum tilapiae, Clinostomum sp., Euclinostomum heterostomum, Procamallanus leavionchus, and Lytocestus sp. were recovered in all the fish sampled. The overall prevalence of the fish parasites was 9.8% with an intensity of 2.13. The result indicated fish parasites had a strong positive correlation with certain water quality properties and parasite abundance which suggested that water quality could determine parasitic loads in fishes of the Esa-Odo reservoir.

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Section: Limnological Variablescontrasting

confidence: 99%

Limnological variables as a determinant of fish parasites abundance in the Esa-Odo reservoir, Esa-Odo Southwestern Nigeria

Obayemi

Komolafe

Onana

2023

Journal of Water and Health

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“…The prototype model was initially developed to a miniaturized dam in a test tube, and thereby physical constraints were not addressed. However, the geotechnical features of the dam also have to be studied (Alparslan et al 2010;Koszelnik et al 2018). The flow of water in the dam depends on the sediment bed, density of water and, volume of the reservoir.…”

Section: Resultsmentioning

confidence: 99%

Integration of sensors for dam water quality analysis – a prototype

Rose

Mary

Karthik

2021

Water Science and Technology

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Water consumed is stored in several water bodies in and around us, out of which dams accommodate a major portion of water. The quantity and quality monitoring of water in Dams is troublesome due to its large surface area and high depths. Though groundwater resources are the primary water source in India, Dams plays a vital role in water distribution and storage network. Central Water Commission in India has identified more than 5,000 dams of which a major portion is persistently consumed by the rural and urban population for drinking and irrigation. The water quality of these reservoirs is of serious concern as it would not only affect the socio-economic status of the nation but the aquatic systems as well. Water quality control and management are vital for delivering clean water supply to the common society. Because of their size, collecting, assessing, and managing a vast volume of water quality data is critical. Water quality data is primarily obtained through manual field sampling; however, real-time sensor monitoring is increasingly being used for more efficient data collection. The literature depicts that the methodsinvolving remote sensing and image processing of water quality analysis consume time, require sample collection at various depths, analysis of collected samples, and manual interpretations. The objective of this study is to propose a novel cost-effective method to monitor water quality devoid of considerable human intervention. The sensor-based online monitoring aids in assessing the sample with limited technology, at various depths of water in the dam to analyze turbidity which gives the major indication of pure water. The quality analysis of the dam water is worthy if the water is assessed at the distribution end before consumption. Hence, to enhance the water management system, other quality parameters like pH, conductivity, temperature are sensed and monitored in the distribution pipeline. The unstable pH can alter the chemical and microbiological aspects of water resulting in a variation of other water quality parameters Temperature variations affect the amount of dissolved oxygen in the water bodies which results in unstable quality parameters. The change in dissolved solvents and the ionic concentration alters the electrical conductivity of the water and the increased concentration of salts also results in turbidity. The data from all the sensors are processed by the microcontroller, transmitted, and displayed in a mobile application comprehensible to the layman.

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“…Extensive urbanization, development of industry and intensive agriculture are factors that contribute to the deterioration of the water quality in watercourses and reservoirs. This deterioration has become a global environmental problem (Cachada et al 2012, Kanownik et al 2013, Koszelnik et al 2018, Kowalik et al 2010, Munyao et al 2017, Nthunya et al 2018, Rosik--Dulewska and Karwaczyńska 2008, Siepak and Sojka 2017. Dam reservoirs are artifi cial structures introduced into the river environment.…”

Section: Introductionmentioning

confidence: 99%

“…They result in very signifi cant changes in both the river and its valley (Hejzlar et al 2009, Jaguś and Rzętała 2011, McCartney et al 2001. Different opinions exist on the impact of water retention in reservoirs on water quality (Hejzlar et al 2009, Janus and Vollenweider 1982, Kasza 2017, Koszelnik et al 2018, Kurunc et al 2006, Mazur et al 2017, McCartney et al 2001, Wiatkowski 2011. Numerous research studies on fl ow conditions and water quality were carried out both for reservoirs located in Poland (Bartoszek and Koszelnik 2016, Jaguś and Rzętała for physicochemical analyses.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous research studies on fl ow conditions and water quality were carried out both for reservoirs located in Poland (Bartoszek and Koszelnik 2016, Jaguś and Rzętała for physicochemical analyses. This fi gure is drawn in ArcGIS 10.6, using the vector data from the OpenStreetMap server (http://download.geofabrik.de/europe/poland.html) (OpenStreetMap) 2011, Kijowska-Strugała et al 2016, Kostecki and Suschka 2013, Koszelnik et al 2018, Olds et al 2011, Wiatkowski 2011 and abroad (Benndorf and Pütz 1987, Boyacioglu and Boyacioglu 2008, Boyacioglu 2014, Braatne et al 2008, De Melo et al 2017, Kurunc et al 2006, Ling et al 2016, Paul and Pütz 2008.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Archives of Environmental Protection

Wiatkowski¹,

Wiatkowska²

2019

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Multidimensional exploratory techniques, such as the Principal Component Analysis (PCA), have been used to analyze long-term changes in the fl ow regime and quality of water of the lowland dam reservoir Turawa (south-west Poland) in the catchment of the Mała Panew river (a tributary of the Odra). The paper proves that during the period of 1998-2016 the Turawa reservoir was equalizing the river's water fl ow. Moreover, various physicochemical water quality indicators were analyzed at three measurement points (at the tributary's mouth into the reservoir, in the reservoir itself and at the outfl ow from the reservoir). The water quality assessment was performed by analyzing physicochemical indicators such as water temperature, TSS, pH, dissolved oxygen, BOD 5 , NH 4 + , NO 3 -, NO 2 -, N, PO 4 3-, P, electrolytic conductivity, DS, SO 4 2and Cl -. Furthermore, the correlations between all these water quality indicators were analyzed statistically at each measurement point, at the statistical signifi cance level of p ≤ 0.05. PCA was used to determine the structures between these water quality variables at each measurement point. As a result, a theoretical model was obtained that describes the regularities in the relationships between the indicators. PCA has shown that biogenic indicators have the strongest infl uence on the water quality in the Mała Panew. Lastly, the differences between the averages of the water quality indicators of the infl owing and of the outfl owing water were considered and their signifi cance was analyzed. PCA unveiled structure and complexity of interconnections between river fl ow and water quality. The paper shows that such statistical methods can be valuable tools for developing suitable water management strategies for the catchment and the reservoir itself.

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An assessment of water quality in dam reservoirs, considering their aggressive properties

Cited by 6 publications

References 8 publications

Limnological variables as a determinant of fish parasites abundance in the Esa-Odo reservoir, Esa-Odo Southwestern Nigeria

Limnological variables as a determinant of fish parasites abundance in the Esa-Odo reservoir, Esa-Odo Southwestern Nigeria

Integration of sensors for dam water quality analysis – a prototype

Archives of Environmental Protection

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