Yazar "Islam, Abu Reza Md Towfiqul" seçeneğine göre listele

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    Assessment of groundwater quality and fluoride health risks using multimetric indices in Balochistan, Pakistan
    (Elsevier Sci Ltd, 2026) Zaheer, Muhammad; Jadoon, Waqar Azeem; Varol, Memet; Khan, Ibraheem; Islam, Abu Reza Md Towfiqul
    In arid regions, groundwater contamination poses a critical threat to public health and agricultural sustainability. This study presents an integrated assessment of groundwater quality, hydrogeochemical processes, and associated health risks in five key districts (Bolan, Kalat, Nasirabad, Pishin, and Qilla Abdullah) of the water-stressed Baluchistan province, Pakistan. A total of 188 groundwater samples were analyzed for 16 physicochemical parameters. The Groundwater Quality Index (GWQI) classified water as Poor to Unsuitable in 60.0%, 59.0%, and 47.8% of samples from Nasirabad, Qilla Abdullah, and Bolan, respectively. Hydrochemical analysis, supported by Piper diagrams and ionic indices, indicated that groundwater in the study area is primarily dominated by Na-Cl, Na-HCO3, and mixed Ca-Mg-Cl facies, reflecting rock-water interactions, silicate and carbonate weathering, and spatially variable cation exchange processes. Irrigation suitability assessment, based on indices like Potential Salinity and Magnesium Hazard, revealed a high risk of salinity and magnesium hazard in most districts, threatening agricultural sustainability. The Health Risk Assessment model showed that fluoride exposure via ingestion poses a significant non-carcinogenic risk to the local population, with children being the most vulnerable group. Hazard Index (HI) values exceeding the safe threshold were observed in 97.1% of the population in Nasirabad and over 82% in Bolan. This comprehensive analysis underscores the urgent need for targeted mitigation strategies and sustainable groundwater management policies in this arid region.
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    Hydro-chemical assessment of fluoride and nitrate in groundwater from east and west coasts of Bangladesh and India
    (Elsevier Sci Ltd, 2022) Jannat, Jannatun Nahar; Khan, Md Sanjid Islam; Islam, H. M. Touhidul; Islam, Md Saiful; Khan, Rahat; Siddique, Md Abu Bakar; Islam, Abu Reza Md Towfiqul
    Groundwater from the coastal alluvial plain is the primary water source in coastal areas. Its contaminants, such as nitrate and fluoride, are significant concerns for freshwater supply and human health issues. Although spatiotemporal variability of nitrate and fluoride levels has been analyzed individually in the Indo-Bangladesh coastal region, their drivers and hydro-chemical analysis have scarcely been studied. Thus, to assess the groundwater quality, hydro-chemistry, and drivers in coastal alluvial aquifers, 123 groundwater samples were collected from the east (Bangladesh) and west coasts (India) for assessment of nitrate and fluoride levels and major physiochemical parameters. Multivariate statistical and hydro-chemical analysis and public health risk appraisal were carried out for this purpose. The results showed that 25% (East coast) and 22.39% (West coast) of groundwater samples surpassed the allowable limit of fluoride with a maximum concentration of up to 16.11 mg/L and the tolerable nitrate limit slightly exceeded 10 mg/L. Furthermore, we note that industrial waste, synthetic pesticides, and agricultural fertilizer triggered the leaching of nitrate into groundwater, while the release of fluoride into groundwater was possibly due to evaporite dissolution, carbonate mineral weathering, and ion exchange processes on both coasts. About 28.36% (26.79%) of groundwater samples possessed poor quality on the east (west) coasts. Considering the uncertainties of the variables, the mean hazard quotient ingestion values of fluoride faced by children (adults) were 10.5 (1.39) and 5.56 (6.9 x 10-1), respectively, on the east (west) coasts, demonstrating a high non-carcinogenic risk to people, particularly, children, who cannot be neglected. Children had two times higher health risks than the adult inhabitants in both regions studied. Probabilistic models can reveal health risks more extensively than deterministic models. This study came up with strategies for improving sustainable groundwater quality and managing health risks in coastal regions.
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    Levels of metals and elements in tissues of fish species in the Kizilirmak River (Turkey) and assessment of health risks and nutritional benefits
    (Academic Press Inc Elsevier Science, 2022) Varol, Memet; Kacar, Emel; Sunbul, Muhammet Rasit; Islam, Abu Reza Md Towfiqul
    Although the Kizilirmak River, the longest river in Turkey, is home to many fish species, there are a few studies reporting metal levels in fish in the river. The contents of 17 metals and elements (MEs) in various tissues of three fish species and surface water from the river were investigated. Significant differences in the ME levels among tissues were recorded, and the highest levels of most MEs were recorded in the gills and liver. The results revealed that correlations between MEs in tissues and fish size were not clear and consistent. Among the MEs, P (6058-109489) and Zn (933-47556) had the highest bioconcentration factor values. The levels of As and Cd in the river water exceeded water quality criteria. Health risk assessment methods (Target Hazard Quotient, Estimated Daily Intake and Lifetime Carcinogenic Risk) indicated that consumption of the studied fish species is safe. It was estimated that a weekly consumption of 490 g of C. gibelio, or 350 g of C. carpio or 280 g of T. tinca would not cause any health risks. Furthermore, it was found that fish species would provide significant benefits in terms of intake of nutrients such as P, K, Ca, Mg, Cu, Zn, Fe and Mn. These findings revealed that nutritional benefits from consumption of fish species outweigh the health risks posed by metals in fish.
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    Risk assessment and source apportionment for metals in sediments of Kaptai Lake in Bangladesh using individual and synergistic indices and a receptor model
    (Pergamon-Elsevier Science Ltd, 2023) Islam, Abu Reza Md Towfiqul; Varol, Memet; Habib, Md. Ahosan; Khan, Rahat
    Metal enrichment in lake sediments originating from multiple sources can threaten both the aquatic ecosystem and human health. Therefore, assessment of the eco-environmental risks and potential sources of metals in the sediments is essential for effective lake management. Here, we analyzed the sediment metal contents of Kaptai Lake, the largest lake in Bangladesh for the first time with this study. The results indicated that only Cr and Ni contents among the metals studied exceeded the probable effect concentrations (PEC) at 25.42 % and 55.93 % of the sampling stations, respectively. All metals at most sampling stations showed low contamination and low ecological risk based on the individual indices (geoaccumulation index, contamination factor, ecological risk factor, enrichment factor and modified hazard quotient). There was no significant risk from the combined metals in the sediments of the lake according to the synergistic indices (toxic risk index, Nemerow risk index, ecological risk index, Nemerow pollution index and pollution load index). Organic matter and silt were significant sediment parameters that favored the accumulation of Cr, Fe, Cu, Pb and Mn. In the absolute principle component scores -multiple linear regression model (APCS-MLR), five potential sources of metals were identified in the sediments: Zn, Mn, Co and Cd mainly from natural sources and to a lesser extent from agricultural and aquacultural ac-tivities, Ni, Cr and Fe from parent materials, Pb and Cu mainly from natural sources and to a lesser extent from vehicle emissions, Hg and U from lithogenic sources, and As from natural sources. This study will improve our knowledge of the sedimentary metal contents of Kaptai Lake and provide helpful information for developing effective lake management and pollution control strategies.
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    Species, tissue and gender-related metal and element accumulation in fish species in a large reservoir (Turkey) and health risks and nutritional benefits for consumers
    (Elsevier, 2022) Varol, Memet; Kacar, Emel; Sunbul, Muhammet Rasit; Islam, Abu Reza Md Towfiqul
    Concentrations of 18 metals and elements (MEs) in the gills, skin, muscle and liver of Carasobarbus luteus and Cyprinus carpio from the Ataturk Reservoir in Turkey were investigated. The results revealed that variations in the ME contents between fish species can be attributed to different diets. The highest contents of most MEs were recorded in the gills. Gender had no significant effect on the contents of most MEs in the tissues of fish species investigated. The relations between MEs in tissues and fish size were not clear and consistent. Health risk assessment methods indicated that consumption of the studied fish species is safe. It was estimated that daily consumption of 140 g of C. carpio or 170 g of C. luteus would not be expected to cause any health risks. Furthermore, it was found that fish species would provide significant benefits in terms of intake of essential MEs.
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    Tracing source footprints of heavy metal(oid)s in coastal soils using traditional statistical techniques and machine learning data-driven models
    (Pergamon-Elsevier Science Ltd, 2026) Islam, Abu Reza Md Towfiqul; Varol, Memet; Mallick, Javed; Mamun, Md. Abdullah-Al; Mia, Md. Yousuf; Siddique, Md. Abu Bakar; Aktar, Mst. Nazneen
    Understanding the source tracing of heavy metal(oid)s (HMs) in coastal soils is paramount for efficient pollution control and safety measures. In the current study, traditional statistical techniques such as principal component analysis (PCA), principal coordinate analysis (PCoA) and machine learning data-driven models, including self-organizing maps (SOMs), conditional inference trees (CITs), ridge regression (RR) and SHapley Additive ex-Planations (SHAP) were employed to detect and trace the sources of HMs in the soils along the northeast coast of Bangladesh. The concentrations of Pb (range: 11-44 mg/kg), Cd (range: 0.03-3.6 mg/kg), Mn (range: 199-981 mg/kg), and As (range: 0.13-13 mg/kg) exceeded the average shale values (ASV). This research found substantial spatial patterns of HM content and PCoA responsible for 75.46 % of total spatial variation. The SOM analysis identified natural sources for As, Ni, Fe, and Mn, and shipbreaking industry sources for Cu, Zn, and Pb in the study sites. The CIT showed that the effects of silt on soil Fe, Cd, and As, as well as the impact of soil pH on Mn and Ni, showed that these elements mostly came from geological processes. Furthermore, RR modeling provided high predictive performance for Pb, Zn, and Mn. The SHAP-based analysis quantified the importance of variables and identified potential physicochemical factors (soil pH, silt, and organic matter) that could contribute to the accumulation of HMs in soil. This paper integrates traditional and machine learning approaches to trace HM sources with a promise for future practice in other analogous areas, providing a theoretical basis for controlling soil HM contamination in coastal regions.