Distribution of Heavy Metals in Water and Bottom Sediments in the Basin of Lake Gusinoe (Russia): Ecological Risk Assessment

Bazarzhapov, Tcogto Zh.; Shiretorova, Valentina G.; Radnaeva, Larisa D.; Nikitina, Elena P.; Bazarsadueva, Selmeg V.; Shirapova, Galina S.; Dong, Suocheng; Li, Zehong; Liu, Shiqi; Wang, Ping

doi:10.3390/w15193385

Cited by 3 publications

(2 citation statements)

References 53 publications

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“…First, at the preparation stage, the samples are transferred to a microwave digestion container for decomposition, then analyzed using the furnace method on a flame Atomic Absorption Spectrophotometry (AAS) tool to determine the levels of heavy metals contained in each test sample. [27] The next step, after the values for the heavy metal content Pb and Fe of all test samples have been obtained, is to analyze the distribution of heavy metal contamination using modeling software [28][29][30]. This results in a visualization of the distribution of heavy metal contamination in Bangkalan sea waters…”

Section: Methodsmentioning

confidence: 99%

Distribution of Pb and Fe heavy metal contamination in sea water and sediment in Bangkalan Madura Sea Waters

Nurdini,

Hidayati,

Cahya

et al. 2024

E3S Web Conf.

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The high level of industrial and port activity in Surabaya and Gresik causes the potential for heavy metal waste pollution in Bangkalan sea waters. Heavy metal pollution will accumulate in several marine biota. If humans consume contaminated biota, the heavy metal content will accumulate in the body's organs causing mild to severe illnesses. Sea water in Bangkalan waters is also used as raw water for shrimp cultivation and salt production, so it needs to meet water quality standards. The research was conducted in 4 locations determined using the random purposive sampling method. Each location requires one seawater and sediment sample each. Each sample will be tested using a Flame Atomic Absorption Spectrophotometry (AAS) instrument to determine the concentration of Pb and Fe. From the results of laboratory tests it is known that St.1 (Modung Coast), contains the highest Pb and Fe contamination values in sea water and marine sediment, where the Pb value = 0.04 ppm and Fe = 0.1 ppm, for marine sediment the Pb value = 4.25 ppm and Fe = 0.38 ppm. Then proceed to determine the contamination distribution coefficient (Kd). The highest value is at St.4 (Tajungan-Kamal) where Kd Pb = 149.78, and Kd Fe = 7.94. The next step is modeling visualization to determine the distribution of pollution using a color gradient scale.

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Section: Methodsmentioning

confidence: 99%

Distribution of Pb and Fe heavy metal contamination in sea water and sediment in Bangkalan Madura Sea Waters

Nurdini,

Hidayati,

Cahya

et al. 2024

E3S Web Conf.

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“…The sediments were digested before bulk elemental analysis according to the EPA Method 3052 [36]. A detailed description of the sediment preparation is given in a previously published article [37].…”

Section: Laboratory Analysesmentioning

confidence: 99%

Heavy Metal Content in Fish of the Barguzin River (Eastern Cisbaikalia) and Assessment of Potential Risks to Human Health

Bazarsadueva,

Shiretorova,

Nikitina

et al. 2023

Water

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In this paper, the levels of nine heavy metals in the organs and tissues of six commercially important fish species from the Barguzin River (Eastern Cisbaikalia, Russia), bream Abramis brama, roach Rutilus rutilus, crucian carp Carassius carassius, common carp Cyprinus carpio, perch Perca fluviatilis and northern pike Esox lucius, were investigated. The distribution of HMs in the fish organs and tissues was unequal and was determined by both their physiological functions and routes of entry. The study also characterized the environmental habitats, including water and sediments, and conducted an assessment of potential risks to human health associated with fish consumption. The results showed that the levels of Fe, Zn, Cu, Ni, Cd, Pb, Cr and Hg in the muscle tissue of fish from the Barguzin River were generally low and did not exceed the maximum allowable concentrations established in Russia and worldwide. However, Mn levels in a number of samples exceeded the corresponding maximum allowable concentrations, which may be attributed to its elevated presence in the habitat. The calculated fish condition factor K showed good health status of fish from the Barguzin River. The highest Metal Pollution Index values were recorded for northern pike scales (5.9), which, however, corresponded to a low level of contamination. The other metal pollution index values for fish organs and tissues were all below five, indicating either no or very low contamination. Risk to human health was assessed using target hazard quotients and hazard index. None of these indices, both for each fish species studied and for each of the nine heavy metals, exceeded one. This indicated that consumption of the fish species studied did not pose an excessive risk of non-carcinogenic health effects to humans. The data on the content of nine heavy metals in the main commercially caught fish species from the Barguzin River indicated a low level of tissue and organ contamination by heavy metals and the absence of health risks to humans associated with their consumption as food.

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Trace Elements in Lakes Located in an Agricultural-Forest Catchment: A Case Study of Lake Raczyńskie, Poland

Wiatrowska,

Kanclerz,

Janicka

2024

Water

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The enrichment of bottom sediments with trace elements due to anthropogenic factors is of growing concern worldwide. With the development of industry, agriculture, and urbanization, the risk of freshwater contamination with trace elements is increasing. As trace elements are poorly soluble in water, they have a tendency to accumulate in bottom sediments. The study focused on the evaluation of the trace element contents in the surface layer of bottom sediments of Lake Raczyńskie, located in Poland, and assessing the risks posed by these sediments. The pollution of bottom sediments was estimated based on the index of the geo-accumulation (Igeo), enrichment factor (EF), Nemerow multi-factor index (Pn), and pollution load index (PLI). The assessment of environmental risk was evaluated by the potential ecological risk index (RI) and mean PEL quotient method. The results obtained showed that the average contents of Cd, Cu, Ni, Pb, and Zn exceeded the national geochemical background values (Bn), indicating possible enrichment of bottom sediments due to human activity. Only for Mn were the observed contents below the Bn. This evaluation was confirmed by the PLI and Pn values, which indicated sediment pollution from anthropogenic sources. However, the risk assessment by RI and mean PEL showed a low risk of contamination. The results of principal component analysis (PCA) and values of Igeo and EF suggested that Cd, Cu, Mn, and Zn mainly originate from geogenic sources, while Ni and Pb probably come from an unrecognized anthropogenic source. The distribution of Cd, Mn, and Ni depended on the contents of silt and clay fractions. Additionally, organic carbon influenced Cu, Mn, Ni, and Zn contents in bottom sediments.

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Distribution of Heavy Metals in Water and Bottom Sediments in the Basin of Lake Gusinoe (Russia): Ecological Risk Assessment

Cited by 3 publications

References 53 publications

Distribution of Pb and Fe heavy metal contamination in sea water and sediment in Bangkalan Madura Sea Waters

Distribution of Pb and Fe heavy metal contamination in sea water and sediment in Bangkalan Madura Sea Waters

Heavy Metal Content in Fish of the Barguzin River (Eastern Cisbaikalia) and Assessment of Potential Risks to Human Health

Trace Elements in Lakes Located in an Agricultural-Forest Catchment: A Case Study of Lake Raczyńskie, Poland

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