Omar Saeed

Montefiore Medical Center

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Mohamed Hamdy Eid

University of Miskolc

András Székács

Magyar Agrár- és Élettudományi Egyetem

Mostafa R. Abukhadra

Beni-Suef University

Mária Mörtl

Magyar Agrár- és Élettudományi Egyetem

Péter Szűcs

University of Miskolc

Győző Jordán

Eötvös Loránd University

Ahmed M. El‐Sherbeeny

King Saud University

Mubarak Ali Alshabibi

Hatem Saad Ramadan

Beni-Suef University

Ahmed A. Tamma

Wroclaw University of Environmental and Life Sciences

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University of Miskolc

Beni-Suef University

Magyar Agrár- és Élettudományi Egyetem

Hungarian Academy of Sciences

Eötvös Loránd University

University of Sadat City

HUN-REN Research Centre for Natural Sciences

National Agricultural Research and Innovation Centre

Environmental Research Institute

Central Environmental and Food Science Research Institute

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Correction: Investigating the impacts of heavy metal(loid)s on ecology and human health in the lower basin of Hungary’s Danube River: A Python and Monte Carlo simulation-based study

Environmental Geochemistry and Health (2023)

Omar Saeed András Székács Győző Jordán Mária Mörtl Mostafa R. Abukhadra

Python

10.1007/s10653-023-01777-4

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Citations (7)

Assessing surface water quality in Hungary’s Danube basin using geochemical modeling, multivariate analysis, irrigation indices, and Monte Carlo simulation

Scientific Reports (2024)

Omar Saeed András Székács Győző Jordán Mária Mörtl Mostafa R. Abukhadra

Abstract Evaluation of water quality is crucial for managing surface water effectively, ensuring its suitability for human use, and sustaining the environment. In the lower Danube River basin, various methods were employed to assess surface water quality for irrigation, drinking, human health risk purposes and the main mechanism control the surface water chemistry. These methods included water quality indicators (WQIs), complex statistical analyses, geographic information systems (GIS), Monte Carlo simulation, and geochemical modeling. Physicochemical analyses of surface water samples revealed primarily Ca–Mg–HCO 3 − is the dominant water types. Principal component analysis (PCA), ionic ratios and piper, chloro alkaline index, Chadha, and Gibbs diagrams identified three distinct water characteristics influenced by water-rocks interaction, evaporation, ions exchange, and human activities. The geochemical modeling showed Danube River water’s strong ability to dissolve gypsum, halite, and anhydrite (SI < 0) and precipitate aragonite, dolomite, and calcite with saturation index (SI) value greater than 0 along its flow path. The irrigation water quality index (IWQI = 99.6–107.6), sodium adsorption ratio (SAR = 0.37–0.68), sodium percentage (Na% = 13.7–18.7), soluble sodium percentage (SSP = 12.5–17.5), Potential Salinity (PS = 0.73–1.6), and Residual Sodium Carbonate (RSC = − 1.27–0.58) values were used, mainly indicating acceptable quality with some limitations. Danube River water was unsuitable for drinking based on WQI value (WQI = 81–104). Oral exposure of children to specific components showed a higher hazard index (HI > 1) compared to adults, indicating a 2.1 times higher overall non-carcinogenic risk hazard index. However, Monte Carlo simulation demonstrated negligible iron, manganese, and nitrate health hazards for both age groups. These findings are valuable for water quality management decisions, contributing to long-term resource sustainability.

Sodium adsorption ratio

Halite

Anhydrite

Sodium carbonate

10.1038/s41598-024-69312-8

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Advanced approach combines integrated weight water quality index and potential toxic elements for environmental and health risk assessment supported by simulation technique in Oued Souf, Algeria

Scientific Reports (2024)

Mohamed Hamdy Eid Ahmed A. Tamma Omar Saeed András Székács Mostafa R. Abukhadra

Abstract The current research study evaluated the health and environmental risks issues associated with potentially toxic elements (PTEs) in the complex terminal aquifer located in the Algerian desert. The methods used included principal component and cluster (dendrogram) analysis to estimate source of ions and contamination. Various indices such as the Heavy Metal Pollution Index (HPI), Metal Index, hazard quotient, hazard index (HI), and cancer risk (CR) were applied to assess both environmental and human health risks. Furthermore, the Monte Carlo method was applied for probabilistic assessment of carcinogenic and non-carcinogenic risks through oral and dermal exposure routes in both adults and children. The results revealed that approximately 16% of the samples fell within the low pollution category (HPI < 100), indicating relatively lower levels of heavy metal contamination. However, the remaining 84% of the samples exhibited high pollution levels, indicating a significant presence of heavy metal pollutants in the northeastern part of the investigated area. The calculated average risk index (RI) for the collected samples was 18.99, with a range from 0.03 to 103.21. This indicates that a large portion, 82% of the samples, could cause low ecological risk (RI < 30), whereas the remaining 18% indicate a significant environmental pollution risk. The HI for oral ingestion showed that adults had HI values ranging from 0.231 to 1.54, while children exhibited higher values, ranging from 0.884 to 5.9 (Fig. 5a). For dermal exposure, HI values in adults ranged from 2.71E−07 to 8.74E−06 and in children, from 2.18E−06 to 7.03E−05. These findings highlight the potential non-carcinogenic risks associated with oral exposure to PTEs and underscore the increased vulnerability of children to metals such as Fe, Mn, Pb, and Cr. Most samples showed CR exceeding 1 × 10 −4 for chromium (Cr) and lead (Pb), indicating a significant vulnerability to carcinogenic effects in both children and adults.

Hazard quotient

Health Risk Assessment

10.1038/s41598-024-68854-1

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Citations (6)

Investigating the impacts of heavy metal(loid)s on ecology and human health in the lower basin of Hungary’s Danube River: A Python and Monte Carlo simulation-based study

Environmental Geochemistry and Health (2023)

Omar Saeed András Székács Győző Jordán Mária Mörtl Mostafa R. Abukhadra

Abstract This study aimed to determine the environmental and health risks of the heavy metal levels in the Danube River in Hungary. The metals, including Fe, Mn, Zn, Cu, Ni, Cr, Pb, and As, were measured in the period from 2013 to 2019. The Spearman correlation and heatmap cluster analysis were utilized to determine the origin of pollution and the factors that control surface water quality. Several indices, such as the heavy metal pollution index (HPI), metal index (MI), hazard quotient oral and dermal (HQ), hazard index oral and dermal (HI), and carcinogenic risk (CR), were conducted to evaluate the potential risks for the environment and human health. The values of the HPI were between the range of 15 < HPI < 30, which indicated moderate pollution; however, the MI results showed high pollution in Dunaföldvár and Hercegszántó cities. The ecological risk (RI < 30) and HI values (< 1) showed low environmental risks and non-carcinogenic impacts of the existing metals, either on adults or children. The mean CR value of oral arsenic was 2.2E−04 and 2.5E−04 during April–September and October–March, respectively, indicating that children were the most vulnerable to arsenic-carcinogenic oral effects. While lead’s CR oral values for children during April–September exceeded the threshold of 1.0E−04, chromium’s oral and dermal CR values for both adults and children were 2.08E−04, 6.11E−04, 1.97E−04, and 5.82E−04 during April–September and October–March, respectively. These results demonstrate the potential carcinogenic risks related to chromium exposure within the two pathways in Hungary and highlight the need for effective measures to mitigate these risks.

Hazard quotient

10.1007/s10653-023-01769-4

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Integration of Geochemical Modeling, Multivariate Analysis, and Irrigation Indices for Assessing Groundwater Quality in the Al-Jawf Basin, Yemen

Water (2023)

Mohammed Hezam Al-Mashreki Mohamed Hamdy Eid Omar Saeed András Székács Péter Szűcs

Water quality monitoring is crucial in managing water resources and ensuring their safety for human use and environmental health. In the Al-Jawf Basin, we conducted a study on the Quaternary aquifer, where various techniques were utilized to evaluate, simulate, and predict the groundwater quality (GWQ) for irrigation. These techniques include water quality indices (IWQIs), geochemical modeling, multivariate statistical analysis, geographic information systems (GIS), and adaptive neuro-fuzzy inference systems (ANFIS). Physicochemical analysis was conducted on the collected groundwater samples to determine their composition. The results showed that the order of abundance of ions was Ca2+ > Mg2+ > Na+ > K+ and SO42− > Cl− > HCO3− > NO3−. The assessment of groundwater quality for irrigation based on indices such as Irrigation water quality index (IWQI), sodium adsorption ratio(SAR), sodium percent (Na%), soluble sodium percentage (SSP), potential salinity (PS), and residual sodium carbonate RSC, which revealed moderate-to-severe restrictions in some samples. The Adaptive Neuro-Fuzzy Inference System (ANFIS) model was then used to predict the IWQIs with high accuracy during both the training and testing phases. Overall, these findings provide valuable information for decision-makers in water quality management and can aid in the sustainable development of water resources.

Sodium adsorption ratio

Sodium carbonate

10.3390/w15081496

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Citations (36)

The chemical composition, classification, and geographical distributions of soda-saline lakes in Eastern Tanzania's rift valley

Journal of Hydrology Regional Studies (2024)

Azaria Stephano Lameck Omar Saeed Emil Boros

Soda-Saline Lakes in eastern Tanzania's rift valley. This study examined the chemical composition, classification, and geographical distribution of soda-saline lakes in the eastern Tanzania rift valley. The results revealed that lake water pH ranged from 9.0 to 10.2, EC ranged from 2843 to 109,800 µS/cm, and Na+ dominated over other cations with mixed dominance of HCO3- + CO32-, Cl-, and SO42-. The study also revealed that lakes Balangida and Balangida Lelu had higher sulphate levels than the other lakes, presumably due to sulfate-rich bedrock and local agricultural input. The study suggests that trace elements and heavy metals in lake water depend on their geology, past usage, and specific environmental conditions. The saturation index (SI) showed that the lakes were oversaturated with dolomite, calcite, and aragonite but undersaturated with anhydrite, gypsum, and halite. Lakes Natron and Manyara are classified as soda types, lakes Balangida and Eyasi are classified as soda-saline types; and lakes Singidani, Kindai, Mikuyu, Balangida Lalu, and Sulunga are classified as saline types. The geographical distribution patterns showed that soda-type and soda-saline lakes were most common in northern Tanzania (Arusha and Manyara). In contrast, saline-type lakes were common in the central regions between Dodoma and Singida. The dominant volcanic nature in the northern part possibly influences soda and soda-saline types.

Saline water

East African Rift

Halite

10.1016/j.ejrh.2024.101668

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Citations (5)