scholarly journals Heavy metals risk assessment in water and bottom sediments of ICOLLs in Northern Poland

2018 ◽  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Bottom Sediments ◽  
Sea Water ◽  
Ecological Status ◽  
Multidimensional Data ◽  
Lake Basin ◽  
Sample Type ◽  
Data Set ◽  
Wide Range

<p>Natural diversity of intermittently closed and open lakes and lagoons (ICOLLs) depends on mutual interactions of several factors: (i) an impact of sea water and land background; (ii) temporary meteorological situation; (iii) hydrological conditions; and (iv) the shape of lake basin. However, some regional, local or even sudden impacts including anthropogenic ones create their final ecological status. To identify heavy metals risk assessment in ICOLLs located in Polish coastline wide range of them were determined in water and bottom sediment samples collected in 10 water reservoirs. Multidimensional data set of 20 variables was explored by the use of chemometrics according to seasonality (Spring, Summer, Autumn), sample type (water, sediment) and level of isolation (fully isolated, partially and fully connected lakes). The results showed that 70.5% and 77% of the data variance can be explained by the use of principal component analysis for waters and sediments, respectively. Waters of fully isolated or partially connected lakes are more abundant with Ir, Nd and Sm, while less abundant with Pr and Sr. Bottom sediments taken from Jamno lake show significant contamination by heavy metals of the highest environmental concern (Al, Cr, Cu, Ni, Ti and Zn).</p>

KERNEL-BASED EXPONENTIAL GREY WOLF OPTIMIZER FOR RAPID CENTROID ESTIMATION IN DATA CLUSTERING

2016 ◽  
Vol 78 (11) ◽  
Author(s):  
Amolkumar Narayan Jadhav ◽  
Gomathi N.
Keyword(s):  
Data Clustering ◽  
Objective Evaluation ◽  
Multidimensional Data ◽  
Grey Wolf Optimizer ◽  
Similar Data ◽  
Grey Wolf ◽  
Data Set ◽  
Wide Range ◽  
Centroid Estimation ◽  
Two Parameters

Clustering finds variety of application in a wide range of disciplines because it is mostly helpful for grouping of similar data objects together. Due to the wide applicability, different algorithms have been presented in the literature for segmenting large multidimensional data into discernible representative clusters. Accordingly, in this paper, Kernel-based exponential grey wolf optimizer (KEGWO) is developed for rapid centroid estimation in data clustering. Here, KEGWO is newly proposed to search the cluster centroids with a new objective evaluation which considered two parameters called logarithmic kernel function and distance difference between two top clusters. Based on the new objective function and the modified KEGWO algorithm, centroids are encoded as position vectors and the optimal location is found for the final clustering. The proposed KEGWO algorithm is evaluated with banknote authentication Data Set, iris dataset and wine dataset using four metrics such as, Mean Square Error, F-measure, Rand co-efficient and jaccord coefficient. From the outcome, we proved that the proposed KEGWO algorithm outperformed the existing algorithms.   

Non-Carcinogenic Baseline Risk Assessment of Heavy Metals in the Taihu Lake Basin, China

2011 ◽  
Vol 17 (1) ◽  
pp. 212-218 ◽  
Author(s):  
Yuankun Wang ◽  
Dong Sheng ◽  
Dong Wang ◽  
Xuchang Yang ◽  
Jichun Wu
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Taihu Lake ◽  
Baseline Risk ◽  
Lake Basin ◽  
Taihu Lake Basin

scholarly journals Concentration of heavy metals and metalloids in the bottom sediments of the Vilkitsky Island’s lakes (the Kara Sea)

2020 ◽  
Vol 169 ◽  
pp. 01001
Author(s):  
Elena Agbalyan ◽  
Aleksander Krasnenko ◽  
Elena Shinkaruk
Keyword(s):  
Heavy Metals ◽  
Bottom Sediments ◽  
Ecological Status ◽  
Maximum Level ◽  
Kara Sea ◽  
Small Lakes ◽  
Metals And Metalloids ◽  
X Ray ◽  
Remote Areas ◽  
Heavy Metals And Metalloids

We performed this study in order to obtain relevant data about the actual ecological status of the lakes in remote areas of the Russian Arctic. The objective was to determine the level of technogenic pollution of bottom sediments in the lakes on the Vilkitsky island in the Kara Sea. To this end, we examined 8 of the island’s small lakes. The content of heavy metals and metalloids (Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Y, Nb) in the samples of bottom sediments was determined using the method of Energy Dispersive X-ray Fluorescence (EDXRF). The total pollution value in the examined bottom sediments varied from Zc = 9.5 to Zc = 15.3. The maximum level of pollution was found in Lake 4 located in an anthropogenically disturbed area due to the levels of Cr, Co, Ni, As, Y, Nb.

scholarly journals Contamination and risk assessment of heavy metals in bottom sediments from Lake Valencia, Venezuela

2013 ◽  
Vol 1 ◽  
pp. 16001 ◽  
Author(s):  
A. González ◽  
M. G. Palma ◽  
K. Ziegler ◽  
E. González ◽  
M. A. Álvarez
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Bottom Sediments

scholarly journals MODERN CONTAMINATION OF BOTTOM SEDIMENTS AND ECOLOGICAL STATE OF MACROZOOBENTHOS IN THE COASTAL ZONE AT VLADIVOSTOK (PETER THE GREAT BAY, JAPAN SEA)

2019 ◽  
Vol 196 ◽  
pp. 155-181
Author(s):  
A. V. Moshchenko ◽  
T. A. Belan ◽  
B. M. Borisov ◽  
T. S. Lishavskaya ◽  
A. V. Sevastianov
Keyword(s):  
Heavy Metals ◽  
Bottom Sediments ◽  
Peter The Great Bay ◽  
Ecological Status ◽  
Geochemical Background ◽  
Chemical Contamination ◽  
Safe Level ◽  
Peter The Great ◽  
Golden Horn ◽  
Great Bay

Contamination of bottom sediments in Peter the Great Bay is spatially variable, but for majority of stations it exceeds the natural geochemical background and «safe» level with at least one pollutant, mainly with hydrocarbons, pesticides, cadmium and mercury. The main sources of contaminants are the waste discharge of Vladivostok and other cities (oil products, pesticides, phenols, heavy metals: Cd, Cu, Hg, Pb, Zn) and rivers fall into the northern parts of Amur and Ussuri Bays (Co, Mn, Ni, Fe). The Golden Horn Bay and the Bosphorus East Strait are the most polluted areas, where concentrations of both heavy metals and hydrocarbons exceed the natural background and «safe» level considerably. The Amur Bay has moderate contamination, and the Ussuri Bay is contaminated slightly. Recently the chemical contamination and eutrophication are the main factors that determine the ecological status of bottom populations, though the former one is valid locally, in the most contaminated areas only.

scholarly journals The Peculiarities of Geoecological State of the Lake-Basin System of Ozerianske Lake (Volyn Polesia)

2020 ◽  
Keyword(s):  
Heavy Metals ◽  
Soil Profile ◽  
Catchment Area ◽  
Ecological Status ◽  
Nature Management ◽  
Biogenic Elements ◽  
Mineral Fertilizers ◽  
Lake Basin ◽  
Lateral Migration ◽  
Basin System

Purpose. To reveal the peculiarities of geo-ecological status of the lake-basin system (LBS) of Ozerianske lake for the needs of a balanced nature management. Methods.The research is based on methods of field instrumental landscape-geochemical searches using modern geoinformation technologies and laboratory-analytical diagnostics of soil, water and lake sediments. Results. The current state of economic development of the catchment of Ozerianske lake has been clarified. The results of the research of the hydrochemical composition of lake water have been presented. The results of the experiments with the determination of the content and features of radial, lateral migration of mobile forms of biogenic elements (N, P2O5, K2O) and heavy metals (Co, Pb, Cd, Cu, Zn, Mn) on a landscape soil geochemical microcatena within the catchment area of a lake have been analyzed. A slight excess of MPC in the content of Mn and Cd in the soils of the microcatena has been fixed. The feature of lateral migration of biogenic elements is the increase of their concentration from the eluvial to the superequal facies of the geochemical microcatena, and the radial feature is the decrease of their content with the depth of the soil profile. Moving forms of heavy metals (Co, Pb, Cd, Cu, Mn) are characterized by radial migration - increasing their content with the depth of the soil profile in the horizon (20-40 cm), and further towards the parent rock, their concentration mainly decreases. Conclusions. It was established that the catchment area of Ozerianske lake refers to the anthropogenic-natural (IV) type and has unsatisfying geo-ecological status. In order to improve the geo-ecological status of the catchment area, it is advisable to gradually increase the area of ecostabilizing lands (meadows, forests, forage areas); to control the application of mineral fertilizers and pesticide use, and to prohibit the plowing of land by a 50-100-meter coastal protective strip around the lake.

Heavy metals exposure and health risk assessment of PM10 particles in indoor air in industrial area

2019 ◽  
Vol 18 (1) ◽  
pp. 18-27
Author(s):  
Yujin Oh ◽  
YoonDeok Han ◽  
Yunjae Kim ◽  
Sunghyeon Jung ◽  
Wonhee Jung ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Indoor Air ◽  
Industrial Area ◽  
Metals Exposure
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