Monitoring the bioavailability of heavy metals in relation to the sediment pollution in the Weser estuary (FRG)

1990 ◽  
pp. 377-383 ◽  
Author(s):  
Michael Schirmer
Keyword(s):  
Heavy Metals ◽  
Sediment Pollution ◽  
Weser Estuary

scholarly journals Analysis of Spatial Variability of River Bottom Sediment Pollution with Heavy Metals and Assessment of Potential Ecological Hazard for the Warta River, Poland

Minerals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 327
Author(s):  
Joanna Jaskuła ◽  
Mariusz Sojka ◽  
Michał Fiedler ◽  
Rafał Wróżyński
Keyword(s):  
Heavy Metals ◽  
Bottom Sediment ◽  
Bottom Sediments ◽  
Risk Index ◽  
Point Sources ◽  
Sediment Pollution ◽  
Sample Collection ◽  
Effect Concentration ◽  
Ecological Hazard ◽  
River Bottom

Pollution of river bottom sediments with heavy metals (HMs) has emerged as a main environmental issue related to intensive anthropopressure on the water environment. In this context, the risk of harmful effects of the HMs presence in the bottom sediments of the Warta River, the third longest river in Poland, has been assessed. The concentrations of Cr, Ni, Cu, Zn, Cd, and Pb in the river bottom sediments collected at 24 sample collection stations along the whole river length have been measured and analyzed. Moreover, in the GIS environment, a method predicting variation of HMs concentrations along the whole river length, not at particular sites, has been proposed. Analysis of the Warta River bottom sediment pollution with heavy metals in terms of the indices: the Geoaccumulation Index (Igeo), Enrichment Factor (EF), Pollution Load Index (PLI), and Metal Pollution Index (MPI), has proved that, in 2016, the pollution was heavier than in 2017. Assessment of the potential toxic effects of HMs accumulated in bottom sediments, made on the basis of Threshold Effect Concentration (TEC), Midpoint Effect Concentration (MEC), and Probable Effect Concentration (PEC) values, and the Toxic Risk Index (TRI), has shown that the ecological hazard in 2017 was much lower. Cluster analysis revealed two main groups of sample collection stations at which bottom sediments showed similar chemical properties. Changes in classification of particular sample collection stations into the two groups analyzed over a period of two subsequent years indicated that the main impact on the concentrations of HMs could have their point sources in urbanized areas and river fluvial process.

The distribution of lead, zinc, and chromium in fractions of bottom sediments in the Narew River and its tributaries

2008 ◽  
Vol 37 (4) ◽  
Author(s):  
Mirosław Skorbiłowicz ◽  
Elżbieta Skorbiłowicz
Keyword(s):  
Heavy Metals ◽  
Grain Size ◽  
Bottom Sediment ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Bottom Sediments ◽  
Catchment Area ◽  
Sediment Pollution ◽  
Lead Zinc

The distribution of lead, zinc, and chromium in fractions of bottom sediments in the Narew River and its tributariesThe purpose of the paper was to evaluate the distribution of lead, zinc and chromium contents in different grain fractions of bottom sediments in the Narew River and some of its tributaries. This study also aimed to determine which fractions are mostly responsible for bottom sediment pollution. The studies of the Narew and its tributaries (the Supraśl, Narewka, and Orlanka) were conducted in September 2005 in the upper Narew catchment area. The analyzed bottom sediments differed regarding grain size distribution. The studies revealed the influence of the percentage of particular grain fractions present on the accumulation of heavy metals in all bottom sediments.

scholarly journals Physico-chemical variability and heavy metal pollution of surface sediment in a non-channeled section of Dilúvio Stream (Southern Brazil) and the influence of channeled section in sediment pollution

2019 ◽  
Vol 14 (1) ◽  
pp. 1 ◽  
Author(s):  
Pedro Alexandre Sodrzeieski ◽  
Leonardo Capeleto de Andrade ◽  
Tales Tiecher ◽  
Flávio Anastácio de Oliveira Camargo
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Total Concentration ◽  
Mineralogical Composition ◽  
Sediment Pollution ◽  
Anthropogenic Influence ◽  
Southern Brazil ◽  
Physico Chemical ◽  
Chemical Variability ◽  
The Impact

Dilúvio Stream flows through an area with a great population density in Porto Alegre, Southern Brazil. The anthropogenic influence in the surroundings impacted negatively the quality of the sediments of Dilúvio Stream and Lake Guaíba. This study evaluated the physico-chemical variability of surface sediments in a non-channeled section of Dilúvio Stream. Additionally, we compared the concentration of several heavy metals in this section with data from previous studies in the margins of Lake Guaíba near the outflow of Dilúvio Stream in order to evaluate the impact of urbanization on sediment pollution. The pH, bulk density, particle-size distribution, electrical conductivity, organic carbon, assimilable phosphorus, total nitrogen, mineralogical composition (X-ray diffractogram) and pseudo total concentration of several metals (Fe, Al, Ca, Mg, Na, K, Mn, Ba, Zn, V, As, Pb, Cu, Cr, Co, Ni, Cd, Mo, and Se) were evaluated. The results showed that the sediments in the non-channeled section of Dilúvio Stream are predominantly sandy, with heavy metal contents below the quality reference values. Quartz and feldspar predominated in all sites. The concentration of Zn, Pb, Cu, Cr, and Ni were lower than that observed in the margins of Lake Guaíba near the outflow of Dilúvio Stream, possibly due to pollution input throughout the channeled section. The Dilúvio Stream shows indications of an anthropogenic influence in the heavy metals concentration through the channeled area.

scholarly journals Spatial distribution of sediment pollution in the Khajeh Kory River using Kriging and GIS

2015 ◽  
Vol 18 (2) ◽  
pp. 173-179 ◽  
Author(s):  
Maryam Zare
Keyword(s):  
Heavy Metals ◽  
Caspian Sea ◽  
River Sediments ◽  
Sediment Pollution ◽  
Kriging Method ◽  
Icp Oes ◽  
The Caspian Sea ◽  
River Bed ◽  
Information Layer ◽  
Del Rio

<p>The aim of this research was to study of sediment pollution conditions in the river bed of Khajeh Kory, which passes from the southern border of the Caspian Sea in Astara City. To determine the pollution of river bed sediment along the route, from the river source in the heights to estuary in the Caspian sea, sampling was conducted at 10 stations. Afterward, each sample was divided into two groups based on size (&gt;63 µm and &lt;63 µm). The concentration of heavy metals Cu, Cd, Co, Zn, Pb, Ni, Fe, and Mn in each group was measured using ICP-OES. In the next stage, the enrichment of samples was determined by normalization with aluminum. The data were then interpolated using the Kriging method and various models (including spherical, circular, exponential, Gaussian) were fitted to the data, and the best method was selected using the Cross Validation method. Using the obtained enrichment outcomes, an information layer was produced for each element in the GIS environment utilizing the Kriging method. The layers were aggregated and the compiled layer was  classified into 4 layers again. Using this method, the length of the river from its source to the sea estuary was characterized based on the contamination of heavy metals, and contaminated and unpolluted areas in river sediments could be observed. The source of this pollution, either natural or manmade, was revealed through this method.</p><p> </p><p><strong>Resumen</strong></p><p>El objeto de esta investigación fue estudiar las condiciones de contaminación sedimentaria en el lecho del río Khajeh Kory, que se extiende desde el borde sur del Mar Caspio en la ciudad de Astara. Para determinar la contaminación del lecho sedimentario, se recolectaron muestras en 10 estaciones establecidas entre la fuente del río en sus partes altas hasta los estuarios en el Mar Caspio. Después, cada muestra fue dividida en dos grupos de acuerdo con el tamaño (&gt;63 µm and &lt;63 µm). La concentración de metales pesados Cu, Cd, Co, Zn, Pb, Ni, Fe y Mn en cada grupo se midió con la técnica ICP-OES. En la siguiente etapa, se determinó el enriquecimiento de las muestras por la normalización con aluminio. Los datos se interpolaron luego con el método Kriging y varios modelos (incluidos el esférico, el circular, el exponencial, el gaussiano) se ajustaron a la información y se seleccionó el mejor método a través de la Validación Cruzada. Con los resultados obtenidos del enriquecimiento se produjo una capa de información para cada elemento en el ambiente GIS a través del método Kriging. Las capas fueron agregadas y la compilación de estas se clasificó nuevamente en otras cuatro capas. De esta forma se caracterizó el río a lo largo, desde su nacimiento hasta el estuario marino, con base en la contaminación de metales pesados y se pudo distinguir entre las zonas contaminadas y las áreas limpias en sedimentos. Las fuentes de esta contaminación, sean naturales o humanas, también se identificaron con este método.</p>

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