Water Quality Assessment of Large Alpine Sevan Lake

Babayan, Gayane; Adamovich, Boris

doi:10.1007/s40710-023-00668-1

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…Currently, the fundamental task of water environment management is the assessment of lakes' and reservoirs' water quality. By precisely assessing the present condition of water quality, the scientific approach to water quality evaluation may establish a solid scientific foundation for managing the aquatic environment and controlling pollution in the water, allowing lakes and reservoirs to be used more wisely (Babayan & Adamovich, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Water quality evaluation based on water quality index and multiple linear regression: A research on Hanyuan Lake in southern Sichuan Province, China

Su,

Peng,

Zhu

et al. 2024

Water Environment Research

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This study aims to understand the changes in the water quality of Hanyuan Lake and to show these changes over time. In this study, monthly sampling was conducted at three sampling sites in Hanyuan Lake, and water samples were measured for water quality indicators in the laboratory according to the methods specified in the Environmental Quality Standards for Surface Water (GB3838‐2002). Based on the monitoring data from January to December 2019, the WQI comprehensive evaluation method was used to conduct multiple linear stepwise regression analysis, extract key indicators, and establish the WQImin model. The results show that according to the WQI comprehensive evaluation method, the WQI values of Hanyuan Lake are all above 90, and the grade is excellent. The overall water quality of Hanyuan Lake is excellent, and most of the water quality indexes reach the Class I standard in the Environmental Quality Standards for Surface Water (GB3838‐2002). WQImin1 (R2 = 0.86, p < 0.001, PE = 4.28) as the best WQImin model. In this study, a model with fewer parameters was established by multiple linear regression method, which is conducive to better monitoring of water quality at monitoring stations while saving costs.Practitioner Points According to the WQI comprehensive evaluation method, the WQI values of Hanyuan Lake are all above 90, the rating is excellent. From January 2019 to September 2020, the monthly change trend of each section is roughly the same, showing a trend of first decreasing, then rising, then decreasing, and finally rising and flattening. The WQImin model was developed to completely describe the change in the water body.

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Section: Introductionmentioning

confidence: 99%

“…The WQI calculated by the key index is effective in evaluating the impact of farm wastewater on the water quality of the stream (Sevgili & Kocer, 2014). Saiwan Lake's water quality was evaluated using the water quality index (WQI) method, and the lake ecosystem's protective measures were identified (Babayan & Adamovich, 2023).…”

Section: Introductionmentioning

confidence: 99%

Water quality evaluation based on water quality index and multiple linear regression: A research on Hanyuan Lake in southern Sichuan Province, China

Su,

Peng,

Zhu

et al. 2024

Water Environment Research

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Public Satisfaction with Water Quality Under the Implementation of Water Quality Monitor Standard System

Wu,

Wei,

2024

Water Resour Manage

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Reconstruction of Surface Water Temperature in Lakes as a Source for Long-Term Analysis of Its Changes

Sojka,

Ptak

2024

Water

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One of the key parameters of lakes is water temperature, which influences many physical and biochemical processes. In Poland, in situ temperature measurements are or have been conducted in only about 30 lakes, whereas there are over 3000 lakes with an area larger than 10 hectares. In many cases, the length of existing observation series is not always sufficient for long-term analysis. Using artificial neural networks of the multilayer perceptron network (MLP) type, the reconstruction of average monthly water temperatures was carried out for nine lakes located in northern Poland. During the validation stage of the reconstruction results, BIAS values were obtained in the range of −0.33 to 0.44 °C, the mean absolute error was 0.46 °C, and the root mean square error was 0.61 °C. The high quality of the reconstructed data allowed for an assessment of water temperature changes in the analyzed lakes from 1993 to 2022 using the Mann–Kendall and Sen tests. It was found that, on an annual basis, the water temperature increased by an average of 0.50 °C per decade, ranging from 0.36 °C per decade to 0.64 °C per decade for individual lakes. For specific months, the largest increase was observed in November, about 0.99 °C per decade, and the smallest in May, 0.07 °C per decade. The obtained results confirm previous studies in this field while adding new data from lakes, which are particularly significant for the western part of Poland—a region with a previously limited number of monitored lakes. According to the findings, the analyzed lakes have undergone significant warming over the past three decades, which is important information for water management authorities.

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Water Quality Assessment of Large Alpine Sevan Lake

Cited by 3 publications

References 22 publications

Water quality evaluation based on water quality index and multiple linear regression: A research on Hanyuan Lake in southern Sichuan Province, China

Water quality evaluation based on water quality index and multiple linear regression: A research on Hanyuan Lake in southern Sichuan Province, China

Public Satisfaction with Water Quality Under the Implementation of Water Quality Monitor Standard System

Reconstruction of Surface Water Temperature in Lakes as a Source for Long-Term Analysis of Its Changes

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