scholarly journals Estimation of the Seasonal Variability of the Content of Heavy Metal Compounds in the River Waters of the Foothill Zone of the Central Сaucasus.

2020 ◽  
pp. 68-81
Author(s):  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
River Water ◽  
Seasonal Variability ◽  
Maximum Permissible Concentration ◽  
Metal Compounds ◽  
River Waters ◽  
Central Caucasus ◽  
Term Data

Based on long-term data, the seasonal variability of the content of heavy metal compounds in the water of the rivers of the foothills of the Central Caucasus – the Terek, Malka, Baksan, Ardon, Cherek, and Urukh – was estimated.Generalizing studies affecting the regional characteristics of the level of hazardous heavy metals in the river waters of the foothill zone of the Central Caucasus have not been arried out over many years. Therefore, the objective of the study was to assess the level of hazardous compounds of heavy metals (Cr, Ni, Mo, Mn, Zn, Pb) in the water of the Terek, Malka, Baksan, Ardon, Cherek and Urukh rivers at 6 observation points located in the foothill zone of the Central Caucasus, for the period from 2005 to 2018. In the analysis, the atomic absorption method using the MGA-915M electrothermal atomizer was used. The level of heavy metal compounds in river water was evaluated by such characteristics as the long-term average and median concentrations, the range of concentration fluctuations, and the frequency of exceeding the maximum permissible concentration. An analysis of long-term data for the period 2005-2018 on the study of the level of heavy metal compounds in the water of the Baksan, Malka, Urukh, Terek, Cherek and Ardon rivers in the foothill zone of the Central Caucasus shows that river water pollution to a greater extent occurs in summer rain flood . The revealed levels of heavy metal compounds in river water over the long-term period under study, as well as the frequency of exceeding the maximum permissible concentration, are illustrated by graphs. The results obtained may be relevant in the development of regional water quality indicators.

scholarly journals Estimation of the Seasonal Variability of the Content of Heavy Metal Compounds in the River Waters of the Foothill Zone of the Central

2020 ◽  
pp. 68-81
Author(s):  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
River Water ◽  
Seasonal Variability ◽  
Maximum Permissible Concentration ◽  
Metal Compounds ◽  
River Waters ◽  
Central Caucasus ◽  
Term Data

Based on long-term data, the seasonal variability of the content of heavy metal compounds in the water of the rivers of the foothills of the Central Caucasus – the Terek, Malka, Baksan, Ardon, Cherek, and Urukh – was estimated.Generalizing studies affecting the regional characteristics of the level of hazardous heavy metals in the river waters of the foothill zone of the Central Caucasus have not been carried out over many years. Therefore, the objective of the study was to assess the level of hazardous compounds of heavy metals (Cr, Ni, Mo, Mn, Zn, Pb) in the water of the Terek, Malka, Baksan, Ardon, Cherek and Urukh rivers at 6 observation points located in the foothill zone of the Central Caucasus, for the period from 2005 to 2018. In the analysis, the atomic absorption method using the MGA-915M electrothermal atomizer was used. The level of heavy metal compounds in river water was evaluated by such characteristics as the long-term average and median concentrations, the range of concentration fluctuations, and the frequency of exceeding the maximum permissible concentration. An analysis of long-term data for the period 2005-2018 on the study of the level of heavy metal compounds in the water of the Baksan, Malka, Urukh, Terek, Cherek and Ardon rivers in the foothill zone of the Central Caucasus shows that river water pollution to a greater extent occurs in summer rain flood . The revealed levels of heavy metal compounds in river water over the long-term period under study, as well as the frequency of exceeding the maximum permissible concentration, are illustrated by graphs. The results obtained may be relevant in the development of regional water quality indicators.

Risk assessment mapping of diseases caused by excess heavy metals in river water

2021 ◽  
Author(s):  
Tatiana Fashchevskaia ◽  
Yury Motovilov
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Analysis ◽  
River Water ◽  
River Basin ◽  
Water Contamination ◽  
Urogenital System ◽  
River Waters ◽  
Hydrochemical Monitoring ◽  
Catchment Areas

<p>A medico-ecological research method is proposed based on the coupled spatial analysis of zones of excessive pollution of river waters with heavy metals (HM) in the basin of the Nizhnekamskoe Reservoir (catchment area of 186 000 km<sup>2</sup>) and data on the health status of the local population.</p><p>For the spatial analysis of the heavy metal cycle in the river basin (on its surface, in soil, ground and river waters), a physically based ECOMAG-HM model with a daily time step resolution was developed. The model consists of two main blocks: a hydrological submodel of runoff formation and a hydrochemical submodel of migration and transformation of HM in the river basin [1]. The model was calibrated and verified on the basis of long-term hydrometeorological and hydrochemical observations data at 34 hydrochemical monitoring sites. Maps of simulated mean annual HM concentrations in river water were constructed and areas with significant levels of HM contamination (copper, zinc, manganese) were identified, including catchment areas not covered by hydrochemical monitoring.</p><p>The population in the study region has notably higher morbidity rate in priority class diseases (of digestive system, urogenital system, blood and hemopoietic organs, as well as disorders related to immunity mechanism) than the average level in Russia. Occurrence of these diseases is mostly determined by the state of the environment and, even more, by the quality of drinking water and consumed biological products (fish). To analyze the influence of the river water contaminated with heavy metals on the health of the population the statistical data on general morbidity in the region had been previously analyzed separately for two age group: adult population and children under 14. The most relevant research object is child morbidity. Children permanently live in the area without being directly exposed to hazardous work conditions and have relatively healthy lifestyle which excludes the influence of additional harmful factors (overeating, smoking, alcohol consumption) that increase the risk of many diseases development.</p><p>The coupled spatial analysis of the population morbidity and the river water contamination maps shows that zones with high and excessive population morbidity rates are located mainly within the highlighted areas with increased concentration of HM in the river water. However, it does not seem possible at this point to separate the effects of man-made impact of air, contaminated with toxic emissions, water and locally produced food on the health of the population. Therefore, to obtain more accurate results within the next stage it is planned to conduct spatial statistical analysis of morbidity risk in separate groups of diseases, mostly determined by health effect of heavy metal water contamination.</p><p>1. Motovilov Yu.G., Fashchevskaya T.B., 2019. Simulation of spatially-distributed copper pollution in a large river basin using the ECOMAG-HM model. Hydrological Sciences Journal, 64 (6), 739-756. DOI: 10.1080/02626667.2019.1596273</p><p> </p><p>This study was carried out under Governmental Assignment to the Water Problems Institute, Russian Academy of Sciences (subject no. 0147-2019-0001)</p>

MONITORING THE LEVEL OF HEAVY METAL COMPOUNDS IN THE TEREK RIVER

2020 ◽  
Author(s):  
Фатимат Адраевна Атабиева ◽  
Елена Александровна Чередник
Keyword(s):  
Water Pollution ◽  
Heavy Metals ◽  
Heavy Metal ◽  
Long Term Results ◽  
Metal Compounds ◽  
Lead Zinc ◽  
Summer Flood

В статье представлен анализ многолетних результатов (2005-2020 годы) изменчивости уровня содержания соединений таких тяжелых металлов как хром, никель, молибден, свинец, цинк и марганец. Цель исследования - выявление и оценка степени загрязненности воды реки Терек растворенными формами металлов в среднем и нижнем течении в летнее половодье по частоте превышения ПДК. The article presents an analysis of long-term results (2005-2020) of variability in the content of compounds of such heavy metals as chromium, nickel, molybdenum, lead, zinc and manganese. The purpose of the study is to identify and assess the degree of water pollution of the Terek River by dissolved forms of metals in the middle and lower reaches during the summer flood in terms of the frequency of exceeding the MPC.

scholarly journals Analysis of Concentration of Heavy Metal (Pb) and Cadmium (Cd) In Waterfish (Eichhornia crassipes) in Indragiri River, Riau

2020 ◽  
Vol 2 (1) ◽  
pp. 24-33
Author(s):  
Elya Febrita
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
River Water ◽  
Eichhornia Crassipes ◽  
Average Concentration ◽  
Research Station ◽  
River Waters ◽  
Community Activities ◽  
Physico Chemical

Research has been conducted to determine the concentration of Lead (Pb) and Cadmium (Cd) heavy metals in water hyacinth (Eichhornia crassipes) in the Indragiri River Waters of Indragiri Hilir Regency in May-July 2016. Determination of the research station was carried out by purposive random sampling by considering environmental conditions based on community activities around the river and the existence of Eichhornia crassipes. The main parameters in this study include the concentration of heavy metals Pb and Cd in river water, sediments and Eichhornia crassipes, and physico-chemical parameters as supporting parameters. The results showed that the average concentration of Pb heavy metals in river water was 0.276 ppm and Cd was 0.126 ppm. The average concentration of heavy metals Pb in sediments was 4.61 ppm and Cd of 0.75 ppm. The accumulation of Pb and Cd Eichhornia crassipest heavy metals is included in the low category, namely the average concentration of Pb heavy metals in the root organ is 3.02 ppm, on the leaf stalk 2.61 ppm, and on the leaves 2.09 ppm. The concentration of heavy metal Cd at the root was 0.47 ppm, at the leaf stalk 0.39 ppm, and at the leaves 0.362 ppm

INFLUENCE OF THE ECOLOGICAL STATE OF THE SEREPOK RIVER (VIETNAM) ON ACCUMULATION OF HEAVY METALS IN ORGANS OF FISH

2017 ◽  
pp. 98-105
Author(s):  
Ngo The Cuong ◽  
Tran Hoan Quoc ◽  
Svetlana Vasilievna Zolotokopova
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
River Water ◽  
Bottom Sediments ◽  
Heavy Metal Concentration ◽  
Industrial Areas ◽  
Industrial Regions ◽  
Cadmium Lead ◽  
Sarotherodon Galilaeus ◽  
Water Bottom

The article focuses on the study of change of containing heavy metals (zinc, copper, iron, cadmium, lead, arsenic) in the abiotic and biotic components of the Serepok river (Vietman) influenced by wastewater discharge from industrial areas. Heavy metal content was determined in the river water and bottom sediments in the four zones: above and within the boundaries of industrial regions Xoa Phu and Tam Thang and in two water reservoirs situated below the boundaries of those industrial areas. Tilapia Galilean ( Sarotherodon galilaeus ), Hemibagrus ( Hemibagrus ), and sazan ( Cyprinus carpio ) caught in these areas were the hydrobionts under study in which liver, gills, skeleton and muscles accumulation of heavy metals was detected. In the organs of fish caught in the river within industrial region, heavy metals concentration was 3-7 times higher. The greatest concentration of heavy metals was found in the liver and gills of fish caught in the boundaries of industrial regions, the least concentration was in the muscles. In most cases, significant correlation between heavy metal concentration in organs of fishes and in river water, bottom sediments has been revealed.

scholarly journals Atmospheric Heavy Metal Input to Forest Soils in Rural Areas of Denmark

2007 ◽  
Vol 7 ◽  
pp. 192-197 ◽  
Author(s):  
M. F. Hovmand ◽  
Kaare Kemp
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Rural Areas ◽  
Forest Floor ◽  
Ambient Atmosphere ◽  
Chronological Order ◽  
Forest Sites ◽  
Yearly Average ◽  
Atmospheric Inputs

Atmospheric bulk deposition of heavy metals (HM) was measured from 1972/73 to the present time at five to ten forest sites in rural areas of Denmark. From 1979, HM in aerosols were measured at one to four forest sites. On the basis of these long-term continuous measurements, the atmospheric inputs to the forest floor have been calculated. Yearly HM emission estimates to the European atmosphere seems to correlate well with yearly average values of HM deposition, as well as with HM concentrations in the ambient atmosphere. HM emissions have been estimated since the 1950s. Using the correlation between emission and deposition, HM deposition values maybe extrapolated in reverse chronological order. The accumulated atmospheric HM deposition has been estimated in this way over a period of 50 years.

scholarly journals Long-Term River Water Quality Trends and Pollution Source Apportionment in Taiwan

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1394 ◽  
Author(s):  
Marsha Putri ◽  
Chao-Hsun Lou ◽  
Mat Syai’in ◽  
Shang-Hsin Ou ◽  
Yu-Chun Wang
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Heavy Metal ◽  
Cluster Analysis ◽  
River Water ◽  
Principal Component ◽  
Pollution Level ◽  
Metal Levels ◽  
Metal Monitoring

The application of multivariate statistical techniques including cluster analysis and principal component analysis-multiple linear regression (PCA-MLR) was successfully used to classify the river pollution level in Taiwan and identify possible pollution sources. Water quality and heavy metal monitoring data from the Taiwan Environmental Protection Administration (EPA) was evaluated for 14 major rivers in four regions of Taiwan with the Erren River classified as the most polluted river in the country. Biochemical oxygen demand (6.1 ± 2.38), ammonia (3.48 ± 3.23), and total phosphate (0.65 ± 0.38) mg/L concentration in this river was the highest of the 14 rivers evaluated. In addition, heavy metal levels in the following rivers exceeded the Taiwan EPA standard limit (lead: 0.01, copper: 0.03, and manganese: 0.03) mg/L concentration: lead-in the Dongshan (0.02 ± 0.09), Jhuoshuei (0.03 ± 0.03), and Xinhuwei Rivers (0.02 ± 0.02) mg/L; copper: in the Dahan (0.036 ± 0.097), Laojie (0.06 ± 1.77), and Erren Rivers are (0.05 ± 0.158) mg/L; manganese: in all rivers. A total 72% of the water pollution in the Erren River was estimated to originate from industrial sources, 16% from domestic black water, and 12% from natural sources and runoff from other tributaries. Our research demonstrated that applying PCA-MLR and cluster analysis on long-term monitoring water quality would provide integrated information for river water pollution management and future policy making.

scholarly journals The rainfall effect onto solidification and stabilization of heavy metal-polluted sediments

2020 ◽  
Vol 7 (7) ◽  
pp. 192234
Author(s):  
Yan Sun ◽  
Daofang Zhang ◽  
Feipeng Li ◽  
Hong Tao ◽  
Moting Li ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Diffusion Coefficient ◽  
Simulated Acid Rain ◽  
Curing Process ◽  
Deterioration Rate ◽  
Before And After ◽  
Calculated Diffusion Coefficient ◽  
Leaching Procedure

Rainfall makes impacts on the process of solidification/stabilization (S/S) and the long-term safety of solidified matrix. In this study, the effect of rainfall on solidification/stabilization process was investigated by the rainfall test. The unconfined compressive strength (UCS) and toxicity characteristic leaching procedure (TCLP) were adopted to characterize the properties of S/S sediments before and after the rainfall test. The samples cured for 28 days were selected for semi-dynamic leaching tests with a simulated acidic leachant prepared at pH of 2.0, 4.0 and 7.0. The effectiveness of S/S treatment was evaluated by diffusion coefficient ( D e ) and leachability index (LX). The results indicated that UCS decreased at maximum deterioration rate of 34.23% after 7 days of curing, along with the minimum rate of 7.98% after 28 days by rainfall, with greater than 14 days referred. The rainfall had little effect on the leaching characteristics of heavy metals during the curing process. However, the simulated acid rain made significant impacts on the leaching behaviours of the heavy metals in the S/S materials. All the values of cumulative fraction of leached heavy metals were less than 2.0%, exhibition of good stabilization of cement. Furthermore, the calculated diffusion coefficient ( D e ) for Cu was 1.28 × 10 1 cm 2 s –1 , indicating its low mobility of heavy metal ions in S/S sediments. Furthermore, the calculated diffusion coefficients ( D i ) for Cd, Cu and Pb were 7.44 × 10 −11 , 8.18 × 10 −12 and 7.85 × 10 −12 cm 2 s –1 , respectively, indicating their relatively low mobility of heavy metal in S/S sediments.

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