Metals In Sediments Research Articles

Trace metal contamination in core sediments of Pandharabodi Lake, Central India: eco-environmental implications.

Freshwater lakes in central India like Pandharabodi Lake (PBL), face escalating environmental pressures due to anthropogenic activities, threatening their ecological conditions. Despite growing concerns, systematic investigations on trace metal pollution in the PBL sediments are so far not done, hindering effective conservation strategies. The present study aims to evaluate temporal distribution, enrichment, and potential eco-environmental risks of 14 trace metals (Al, Fe, Mn, Zn, Cu, Cr, Ni, Pb, Co, U, V, Rb, Th, and Sc) in the PBL core sediments. A sediment core from the deepest part of the PBL along with 06 soil samples around the lake was collected and analyzed for trace metal concentrations using X-ray fluorescence (XRF) technique. The metal pollution was assessed using enrichment factor (EF), Index of geo-accumulation (Igeo), contamination factor (CF), ecological risk factor (Er), potential ecological risk index (PERI), and multivariate statistical analyses. The geochemical study of trace metals in the vertical profile, pollution indices, and statistical assessment revealed low to moderate pollution in the core sediments of the lake. The highest contamination factor (CF) values were observed at 8cm core depth for Cu indicating "considerable pollution", while Fe, Mn, Al, Co, Cr, V, Zn, Ni, and Sc show "moderate pollution". The maximum enrichment factor (EF) values were recorded at 32cm core depth for Rb and at 24cm for U indicating "moderate enrichment". The mean geo-accummulation index (Igeo) values for Cu show that the PBL core sediments had "low level of pollution" by Cu, while remaining metals show the unpolluted nature of sediments. The estimated potential ecological risk index (PERI) showed "low potential risk" for aquatic organisms and plants due to its low value (< 150), i.e., < 66.80 in 100% of samples in consideration of eco-environmental risk. The principal component analysis (PCA)/factor analysis (FA), correlation coefficients, and hierarchical cluster analysis (HCA) showed that Cu had considerable contamination in the PBL core sediments due to anthropogenic activities like particulate matters released from adjoining iron and steel plant and opencast coal mine in addition to its origin from the geogenic (natural) sources like weathering and erosion of basalts and soils present in the catchment area. The present findings provide valuable insights for policymakers, contributing to the development of effective conservation strategies for freshwater lakes in central India and other tropical regions.

Lithology as a factor for the distribution of metals in stream sediments associated with sediment-hosted Cu deposits: a case study from the Alta-Kvænangen tectonic window, northern Norway

The Kåfjord area in northern Norway hosts numerous Cu deposits that were subjected to mining activities back in the nineteenth century. Relicts of the historical mining activity are still visible at several abandoned mines and associated mine waste disposal sites that may represent an environmental threat. The area was subjected to mining activities during the nineteenth century and abandoned mines and associated mine waste disposal sites still may represent a significant environmental threat. The Cu mineralization, found within the Paleoproterozoic Alta-Kvænangen Tectonic Window, primarily occurs as epigenetic sulfide-quartz-carbonate hydrothermal veins that crosscut the Kvenvik volcano-sedimentary complex and the overlying Storviknes sedimentary sequence. This study aims to determine the geochemical composition of stream sediments associated with the sediment-hosted Cu deposits and examine the role of host lithologies in the dispersion of elements associated with the deposits. Sediments from two streams and a river in the Kåfjord area were analyzed using phase and element analyses (aqua regia chemistry), complemented by a seven-step sequential extraction procedure. Results from Annaselva stream, draining Cu occurrences in the carbonate sediments of the Storviknes sequence, showed a significant positive correlation of Cu with mobile chalcophile elements (Pb, Zn, Ni, Tl, Hg, Ag, Sb, Bi) and lithophile elements (Sr, Ca, Ba, Al, K). In contrast, Brakkelva stream, draining the mafic volcanics of the Kvenvik complex, exhibited no statistically significant correlations between Cu and any of the analyzed elements. Møllneselva River, draining both lithologies, showed a strong Cu-Sc correlation, with principal component analysis indicating limited distinction between lithology-derived elements. These results did not completely align with statistical analysis outcomes highlighting the challenges of statistical data interpretation using a limited number of samples.

Reliability assessment of using different heavy metals in remote sedimentary records to reconstruct historical pollution.

Reliability assessment of using different heavy metals in remote sedimentary records to reconstruct historical pollution.

Distribution and pollution assessment of heavy metals in seawater, surface sediments and marine organisms in Lianyungang offshore, China

Distribution and pollution assessment of heavy metals in seawater, surface sediments and marine organisms in Lianyungang offshore, China

Surface sediment elemental compositions of 167 Canadian lakes show widespread exceedance of quality guidelines for metals.

Sediments form a key part of lake ecosystems and play important roles in biological and chemical processes. Yet in the most lake-rich country in the world, Canada, there was no standardized portrait of lake sediment elemental compositions and knowledge was lacking about how frequently field data exceeded sediment quality guidelines. To address these gaps and generate a more comprehensive understanding of large-scale spatial patterns in surface sediment geochemistry, we undertook an analysis of 167 lakes sampled by the NSERC Canadian Lake Pulse Network. We analyzed sediment elemental compositions and identified three geographic regions with distinct sediment geochemistry by applying a cascade multivariate regression tree analysis (cMRT). Of these regions, sediments in eastern Canada had relatively high concentrations of metals, while central Canada and southwestern Ontario lakes had relatively high concentrations of detrital elements. Urbanization was correlated with elevated sediment metal concentrations whereas agricultural and pastoral activities were correlated with elevated concentrations of detrital elements. Comparisons between sites with low and high levels of anthropogenic land use indicated limited differences in sediment elemental compositions. However, 70% of all sites exceeded the guidelines for at least one of the six potentially toxic elements with published sediment quality guidelines that we examined. Since these guidelines were designed to be conservative, we recommend the development of regional sediment quality guidelines for implementation across Canada.

Blue carbon vis-à-vis heavy metal concentration in surface sediments along the coast of Gulf of Khambhat, Gujarat

ABSTRACT This study investigated contamination and ecological risks caused by selected heavy metals (Ni, Cu, Mn, Cr, Pb, Zn, Co, Cd, and Fe) in the coastal sediments and their correlation with the sedimentary blue carbon in the eastern part of the Gulf of Khambhat. A total of n = 24 sediment samples were evaluated using comprehensive ecological and pollution indices to quantify the contamination status and their exposure risks. The findings showed that the coastal sediments had a low contamination factor and did not contain a considerable amount of pollution load in the study area. Based on the average crustal abundance values, indices such as Cf, Ef, Igeo, PLI, PERI, etc. indicated that the level of heavy metal pollution in this area varied from no pollution to moderate contamination. Furthermore, the statistical analysis suggested an adequate positive linkage between blue carbon and manganese, but no significant correlation with other heavy metals was found.

Investigation of the relation between heavy metal and magnetic susceptibility of sediment from Kerala coast for contamination study with statistical approach

ABSTRACT Sediment samples collected from the Kerala Coast of India were analysed using a dual frequency susceptibility meter to determine magnetic susceptibility. The heavy metal concentration of the sediments, particularly V, Cr, Mn, Fe, Cu, Zn, Ba, Zr, As, Sr, and Pb, is determined using the EDXRF technique. The magnetic susceptibility measurement was conducted at two different frequencies: a low frequency of 0.47 kHz and a high frequency of 4.7 kHz. These measurements were then used to calculate the frequency-dependent susceptibility, also referred to as χ fd The low frequency mass magnetic susceptibility values range from 7 × 10−8 m3 kg−1 to 205 × 10−8 m3 kg−1, with an average of 85.59 × 10−8 m3 kg−1. The high magnetic susceptibility values range from 5 × 10−8 m3 kg−1 to 182 × 10−8 m3 kg−1, with an average of 74.27 × 10−8 m3 kg−1. A multivariate statistical analysis was performed to investigate the correlation between magnetic susceptibility and the concentration of heavy metals in sediments. A significant association established between magnetic susceptibility and the heavy metals such as V, Zn, Mn, Ba, As, and Pb. This suggests that these elements are affected by anthropogenic magnetic particulate matter and this type of contamination is of anthropogenic origin. A spatial distribution map a distinct visual representation of the magnetic susceptibility in the study area. The principal component analysis (PCA) results indicated a significant relationship between heavy metals and magnetic susceptibility values. The cluster analysis identified two distinctive groups, suggesting a relationship between the levels of heavy metals and magnetic susceptibility values. The analysis of the Pearson correlation coefficient revealed an association between magnetic susceptibility and the concentration of the studied heavy metal. The current investigation demonstrates that magnetic susceptibility is a rapid, cost-effective, and non-destructive technique for identifying contaminated sediments.

Source-oriented health risk of heavy metals in sediments: A case study of an industrial city in China.

Source-oriented health risk of heavy metals in sediments: A case study of an industrial city in China.

Ecological-Geochemical Assessment Bottom Sediments of Tributaries of the Ural River under Conditions of Technogenic Influence

The spatial variability of the content of heavy metals in bottom sediments of the right tributaries of the river Ural is presented. Leading metals were identified in the geochemical associations of sediments of watercourses in areas of intense technogenic impact, associated with the specifics of existing industries. Data are presented for calculating the coefficient of average accumulation and the total indicator of soil pollution, which allows one to assess the level of pollution and the degree of sanitary and toxicological hazard of the rivers under study.

A comprehensive analysis of tracing the sources and dynamics of pollutants in a tropical Miri River, NW Borneo

The fractionation and distribution of elemental composition in water (particulate and colloid) and sediments were assessed to understand the major geochemical processes that control the contaminant transport in the Miri River, NW Borneo. Further, the study also focused on determining the potential sources of geochemical elements and assessing the ecological risk. In this regard, 11 surface water and 35 river bed sediment samples were collected along the course of the Miri River and analyzed for various elemental compositions. Pollution indices such as geo-accumulation index (Igeo) and contamination factor (CF) were used to determine the pollution status of the river. Principal component analysis (PCA) was also used to identify the key geochemical processes that control the metal distribution and its sources. The interpretation of the results indicates that elemental distribution in size fractions showed an increasing concentration trend from the colloidal to the particulate fraction. Fe was observed to be the dominant metal in both water and sediments, indicating the weathering of river sediments. Cd, Pb and Zn are mostly derived from anthropogenic impacts and risk evaluation indicate the probability of adverse ecological threats to the riverine biota. Colloidal fractions (0.30 µm and 0.20 µm) were identified as the primary facilitators of contaminant transport, particularly in the upstream and midstream, whereas particulate (0.45 µm) dominates in the downstream due to the tidal influx of seawater. PCA analysis confirmed that the majority of pollutants were contributed by domestic and industrial discharge, seawater incursion, geogenic sources and agricultural inputs.

Spatial distribution, sources, and ecological risk assessment of heavy metals in Lianyungang coastal sediments of China.

Heavy metals are the primary pollutants in surface sediments of coastal area, and they can affect aquatic organisms and human health through accumulation and release into the environment. To investigate the spatial distribution, sources, and ecological hazards of heavy metals, this study analyzed the data on the contents of heavy metals in surface sediments of coastal areas in Lianyungang. The results indicate that significant spatial differences exist in the distribution of these metals. The average contents of As, Cd, Cr, Ni, Pb, and Zn were 5.6, 0.53, 41.4, 21.2, 12.4, and 49.6mg/kg, respectively. Only the average value of Cd exceeded the background value, while the others were all lower than their respective background values. The ecological risk index of individual elements ranked from high to low is as follows: Cd > As > Ni > Pb > Cr > Zn. Additionally, the comprehensive ecological hazard index suggests that the ecological risk of the coastal sediments in Lianyungang is generally at a low to moderate level, with Cd being the major contributor. Numerous analyses show that Cr, Ni, and Zn mainly stem from industrial wastewater discharge, As and Cd mainly originate from agricultural and aquaculture activities, and Pb mainly comes from port traffic and atmospheric deposition.

Insights into effects of drying-wetting cycles on dissolved organic matter and Cd bioavailability in riparian sediments amended with microplastics.

Insights into effects of drying-wetting cycles on dissolved organic matter and Cd bioavailability in riparian sediments amended with microplastics.

Assessment of pollution and ecological risk associated with heavy metals in sediments from the rivers of Batouri gold mining area (East Cameroon): geochemical and statistical approaches

Assessment of pollution and ecological risk associated with heavy metals in sediments from the rivers of Batouri gold mining area (East Cameroon): geochemical and statistical approaches

Diverse adaptation strategies of generalists and specialists to metal and salinity stress in the coastal sediments.

Diverse adaptation strategies of generalists and specialists to metal and salinity stress in the coastal sediments.

Assessment of microplastics and heavy metal contamination in surficial sediments of Pasig River, Philippines during wet season.

Assessment of microplastics and heavy metal contamination in surficial sediments of Pasig River, Philippines during wet season.

Implications of Heavy Metal Accumulation in Fish Feed, Water, Sediment, and Different Fish Species in a Polyculture System.

Heavy metal bioaccumulation in organisms is primarily a result of dietary uptake. The current study examines the concentrations of heavy metals (Pb, Cd, Cr, and Cu) in fish feed, water, sediment, and three fish species (Catla catla, Labeo rohita, and Cyprinus carpio) from different feeding zones in a polyculture pond system. Furthermore, associated human health risks were also evaluated. The fish samples (n = 25 for each species) were collected from 10 different fish ponds in the Kohat district, Pakistan. Heavy metals were determined using an atomic absorption spectrometer. Results revealed higher concentrations of heavy metals in sediment, followed by water. However, the concentration of heavy metals in fish feed was lower than the standard limits. In the case of fish, the bottom feeder (C. carpio) notably exhibited higher (P < 0.05) levels of heavy metals than the column feeder (L. rohita) and surface feeder (C. catla) fish. Moreover, in the liver of all fish species, the bioaccumulation of heavy metals was higher, followed by the gills. Principal component analysis (PCA) demonstrated a strong correlation of heavy metals in C. carpio gills, flesh, feed, and pond water, while the heavy metals in the liver correlated with the detected metals in sediment. The human health risk analysis shows that bottom feeder fish had higher estimated daily intake (EDI), target hazard quotient (THQ), and hazard index (HI) values (> 1). Consequently, the exposed population may experience adverse health effects. The findings of this study suggest that the bottom feeder (C. carpio) bioaccumulates a higher concentration of heavy metals than column (L. rohita) and surface feeder (C. catla) in the polyculture system.

Geochemical fractionation and bioavailability of heavy metals in the middle gangetic plain: Assessing ecological risks in water and sediment systems.

Geochemical fractionation and bioavailability of heavy metals in the middle gangetic plain: Assessing ecological risks in water and sediment systems.

Integrated assessment of heavy metal pollution in the great bačka canal: Comparing active and passive sampling methods.

Integrated assessment of heavy metal pollution in the great bačka canal: Comparing active and passive sampling methods.

Metals in sediments of the Great Lakes of North America determined by factor analysis.

Metals in sediments of the Great Lakes of North America determined by factor analysis.

Impact of offshore energy activities on trace elements content and mobility in marine sediments.

Impact of offshore energy activities on trace elements content and mobility in marine sediments.