Application of the metal pollution indices on surface waters for assessment of environmental risk: a case study for Damsa reservoir (Cappadocia, Türkiye)

Fındık, Özlem; Aras, Seval

doi:10.1007/s13762-022-04102-1

Cited by 7 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Different sources cause metal pollution in the dam, though. These pollution sources are agricultural activities and the proximity of an unregulated land ll site in the town of Mustafapaşa as well as untreated domestic and industrial wastewater [35,36]. There aren't any comprehensive similar studies that were conducted to examine HM concentrations of the sh species in the dam.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Heavy metal concentrations in various tissues of two fish species from Damsa Dam Lake (Turkey) and associated health risk assessment

Kaçar

2023

Preprint

View full text Add to dashboard Cite

In current study, the distribution of 10 heavy metals in muscle, gills and liver of two fish species (Squalius pursakensis and Cyprinus carpio) living in the Damsa Dam Lake (Turkey) was examined in relation to fish gender and size. The highest quantities of all heavy metals were determined in the gills and liver of the fish species. The levels of most heavy metals in tissues did not differ significantly between both fish species. Only a few heavy metals in the tissues of both fish species demonstrated significant associations with fish length or weight. In terms of the levels of most of the heavy metals in the tissues, there weren’t any significant differences between the male and the female fish. The estimated daily intakes of all of the heavy metals were lower than the reference doses. The values of the target hazard quotient and the hazard index were found to be below 1 and the values regarding carcinogenic risk were assessed to be within or lower than the permissible levels. These results proved that the examined fish species can be consumed safely.

show abstract

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Heavy metal concentrations in various tissues of two fish species from Damsa Dam Lake (Turkey) and associated health risk assessment

Kaçar

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Для покращення екологічного стану Хаджибейського лиману бажано заборонити використання прибережних земель у сільському господарстві, провести модернізацію обладнання очисних споруд ("Північна") та зменшити викид шкідливих речовин у воду з селищ, що розташовані на березі лиману (Emenike et al, 2021;Aldoghachi & Aziz, 2023;Findik & Aras, 2023;George et al, 2023).…”

Section: вступunclassified

Background levels of heavy metals in the water of Khadzhibey estuary

Holubenko,

Tarasenko

2024

SMLNUVMB

View full text Add to dashboard Cite

In the Odesa region, heavy metal contamination of fishery water bodies is a pressing problem. The accumulation of heavy metals in fish depends on the physiological and biochemical activity of the organism and the physical and chemical parameters of the water body. Most heavy metals enter the fish's body through the gills, skin, and digestive organs. Copper, zinc, and plumbum accumulate in the skin, gills, and liver, while cadmium and mercury accumulate in the kidneys. The level of heavy metal pollution in the water of the Khadzhibey estuary was measured and determined in 2022–2023. The following methods were used to determine the content of heavy metals in water: atomic emission spectroscopy using an EMAS-200 CCD instrument to determine cadmium, copper, zinc, and plumbum; cold vapor atomic absorption spectroscopy using the “Julia-2M” method to determine the content of mercury. Toxicological studies of water were carried out in the water hygiene and ecology laboratory of the Ukrainian Research Institute of Transport Medicine and at the Department of Veterinary Hygiene, Sanitation, and Expertise of Odesa State Agrarian University. The study found that the content of heavy metals in the water of the Khadzhibey estuary is not constant and fluctuates depending on the season. The maximum levels of heavy metals are observed in summer (plumbum and cadmium) and autumn (zinc, copper and mercury). It was found that cadmium, plumbum, copper, and mercury content does not exceed the maximum permissible levels for marine fisheries. The zinc content in the water of the Khadzhibey estuary exceeds the maximum permitted concentration by 2.65%. The zinc content in the studied water samples is a stress factor affecting the meat quality of common carp (Cyprinus carpio) and round goby (Neogobius melanostomus).

show abstract

“…This case study highlights the application of data analytics in evaluating the impact of metal pollution on environmental risk. The study's approach to assessing water quality and its implications for environmental risk in geological settings showcases the potential of data analytics in environmental monitoring and risk assessment in geology (Findik & Aras, 2022).…”

Section: Zong Et Al (mentioning

confidence: 99%

A review of data analytics techniques in enhancing environmental risk assessments in the U.S. Geology Sector

Michael Tega Majemite,

Michael Ayorinde Dada,

Alexander Obaigbena

et al. 2024

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

In an era where environmental risks pose significant challenges to the U.S. geology sector, this paper meticulously explores the integration of data analytics techniques to enhance risk assessments. The study delves into the intricate relationship between geological processes and human activities, underscoring the necessity for advanced analytical methodologies in mitigating environmental risks. The background sets the stage, highlighting the evolving perception of risk and sustainability in geological activities, and the critical role of reliable construction practices and engineering investigations. The aim of this paper is to synthesize and critically evaluate the current methodologies in data analytics, particularly their impact on reducing environmental risks associated with geological activities. The scope encompasses a detailed examination of the evolution from traditional to modern analytical methods, emphasizing the integration of predictive analytics, machine learning, big data, and Geographic Information Systems (GIS) in geological predictions and risk management. The main findings reveal a significant advancement in data analytics, marked by the integration of AI and machine learning with traditional geological methods. This fusion enhances the accuracy, efficiency, and comprehensiveness of risk assessments. The study concludes with recommendations for continued integration of advanced data analytics in geological studies, advocating for sustainable and responsible practices. It emphasizes the importance of international collaboration and harmonization of regulatory standards to enhance environmental risk assessments in geology. This paper provides valuable insights for researchers, policymakers, and practitioners in the field, offering a roadmap for future advancements in geological data analytics and environmental risk management.

show abstract

Application of the metal pollution indices on surface waters for assessment of environmental risk: a case study for Damsa reservoir (Cappadocia, Türkiye)

Cited by 7 publications

References 33 publications

WITHDRAWN: Heavy metal concentrations in various tissues of two fish species from Damsa Dam Lake (Turkey) and associated health risk assessment

WITHDRAWN: Heavy metal concentrations in various tissues of two fish species from Damsa Dam Lake (Turkey) and associated health risk assessment

Background levels of heavy metals in the water of Khadzhibey estuary

A review of data analytics techniques in enhancing environmental risk assessments in the U.S. Geology Sector

Contact Info

Product

Resources

About