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>

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.

Spatial distribution characteristics and source identification of heavy metals in river waters of the Huaihe River Basin, China

2018 ◽  
Vol 69 (5) ◽  
pp. 840 ◽  
Author(s):  
Jiqiang Yang ◽  
Yun Wan ◽  
Jingjing Li ◽  
Dawei Zou ◽  
Xin Leng ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Distribution ◽  
River Basin ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
River Waters ◽  
The Huaihe River

Rapid rates of industrialisation and urbanisation have led to heavy metal contamination of many rivers in China. Identification of the main sources of heavy metal contamination in river waters and description of their spatial distribution are essential for the control of river water pollution. In this study, water samples were collected from 218 sampling sites on rivers of the Huaihe River Basin during summer 2014. Fourteen heavy metals were detected (As, Ba, Co, Cr, Fe, Pb, Mn, Mo, Ni, Zn, Se, Sn, Sr and V). The concentrations of these heavy metals showed significant regional variation and the areas could be divided into four groups based on pollution levels: a pollution-free group (Group C), a low pollution group (Group D), a moderate pollution group (Group A), and a high pollution group (Group B). Pearson correlation coefficients verified the common sources of some of the heavy metals. Further analysis revealed that the release of effluents associated with mining, smelting, welding, fertilisers, pesticides and the chemical and electronics industries are the principal sources of heavy metal contamination in the waters of rivers of the Huaihe River Basin.

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 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 Geochemical assessment of heavy metal pollution of river basin in Nigeria using stream sediment

2020 ◽  
Vol 7 (2) ◽  
pp. 198
Author(s):  
Oluwafunso Oladipo Awosusi ◽  
Adeshina Luqman Adisa
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Enrichment Factor ◽  
River Basin ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Stream Sediment ◽  
The Body ◽  
The Mean ◽  
Mean Concentration

Heavy metal pollution has been a source of health problems in humans. These metals are persistent, toxic, non-degradable and often take a long time to be eliminated from the body. This study is, therefore, designed to assess heavy metal pollution of River Basin in Nigeria. Seventy stream sediment samples were systematically collected from an area, approximately 400km2, latitude 7O 00’ and 7O 15’N and longitude 5O 11’ and 5O 19’E. The pollution status of the sediments by heavy metals were assessed by Enrichment Factor (EF), Pollution Load Index (PLI) and Geo-accumulation Index (Igeo). The concentrations of the heavy metals were also compared with United States Environmental Protection Agency (USEPA) Sediment quality guidelines (SQG). The samples were dried in the laboratory, disaggregated, sieved to minus 80 (<177 microns) mesh size using nylon sieve. The sieved samples were, then, digested and the concentrations of As, Co, Fe, Mn, Ni, Pb, V and Zn were determined by Wavelength Dispersive X-ray Fluorescence Spectrometry (WD-XRFS). Results revealed that the mean concentrations of the heavy metals are in the order V>Zn>Pb>As>Ni>Co>Fe>Mn. Furthermore, the mean concentration of lead exceeded both the average world shale and the USEPA SQG values. However, the mean concentration of cobalt, nickel, manganese and zinc were lower than the average world shale values for these elements. The Enrichment Factor (EF) revealed that cobalt was moderately enriched while arsenic and lead were significantly enriched in the sediments. On the basis of the geoaccumulation index, the stream sediments were largely uncontaminated except at some sites that were moderately to strongly contaminated by As and Pb.  

scholarly journals Comprehensive assessment of groundwater quality using heavy metal pollution indices and geospatial technique: A case study from Wanaparthy watershed of upper Krishna River basin, Telangana, India.

2021 ◽  
Author(s):  
Suantak Paolalsiam Vaiphei ◽  
Rama Mohan Kurakalva
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Groundwater Quality ◽  
River Basin ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Indices ◽  
Runoff Water ◽  
Water Interaction ◽  
Guideline Values

Abstract The present study is to characterize groundwater quality using heavy metal pollution indices and geospatial variations. A total of 58 samples from hand pump/submersible bore wells were collected from the Wanaparthy watershed of the upper Krishna River basin according to the grid size (5*6 km 2 ). The heavy metals concentration in groundwater samples are found in the order of Zn(38.67%)> B(32.67%)> Ba(13.59%)> As(8.49%)> Hg(3.71%)> Cr(1.28%)> Ni(0.52%)> Cd(0.47%). Among these heavy metals, arsenic (22.4%) and mercury (5.1%) were found above the permissible limits of WHO drinking water guideline values. A positive correlation between pH versus B/Ba/Hg, TH versus EC/TDS, and B versus Ba indicates the presence of metals due to chemical reaction (rock-water interaction). Arsenic correlation with EC/TDS/TH indicates artificial intervention. Drainage network analysis enumerates high concentration of parameters at near or joining to upper order of drainage system, which might be due to input of runoff water (interaction of variable rocks composition) and later stage infiltration to subsurface and reached to an aquifer. Heavy metal pollution index (HPI) showed 86.2% of samples are in the category of low class, whereas 12.1% of samples fall within medium class. According to metal index (MI) classification, 12.1% samples are in very pure, 24.14% samples are pure, while the remaining 63.8% samples are in the slightly to strongly affect category. This study suggested the main source of heavy metals in groundwater might be from the dominant granitoid rocks because the area is mostly devoid of industrialization.

scholarly journals Microelement Structure of the Cherek-Bezengiysky River Water

2017 ◽  
Author(s):  
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Basin ◽  
Caspian Sea ◽  
High Mountain ◽  
Clean Water ◽  
Mountain Regions ◽  
The Caspian Sea ◽  
The Caucasus ◽  
River Waters

Urgency of the issues concerning studying water quality in mountain-glacial high-mountain regions of the Caucasus where the rivers feeding the Kabardino-Balkar Republic lowland parts originate has been highlighted. The Bezengiysky Canyon river waters have been investigated for Mn, Zn, Cu, Pb, Ag, Ni, Cr, and Cd content. The high-mountain glacial/mountain fed Cherek Bezengiysky River microelements’ concentration values have been compared from the source to the mouth both during winter low-water and glacial flood periods. It has been stated that river water microelements contamination in the high-mountain region is caused by natural geochemical and geo/morphological background and is connected with the microelements washing out mountain rocks. Earlier investigations have shown that the microelements concentration significantly drops in comparison with the upper reach when the river enters the lowlands. It was found that the Cherek Bezengiysky River waters under study in terms of Mn, Pb, Cr, Cd, Ni, Cu, and Ag content could be classified as clean water excluding Zn which made the water very polluted. Minimal, maximal and average values of the main ion and nitrogen-containing substances concentrations during winter low-water and glacial flood periods have been presented. The value of the conducted investigation is determined by the fact that the Cherek Bezengiysky River inflows to the Terek River and forms the Caspian Sea river basin.

scholarly journals Heavy Metal Contamination of the Loučka River Water Ecosystem

2007 ◽  
Vol 76 (1) ◽  
pp. 149-154 ◽  
Author(s):  
T. Vítek ◽  
P. Spurný ◽  
J. Mareš ◽  
A. Ziková
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
River Water ◽  
Brown Trout ◽  
Metal Contamination ◽  
Salmo Trutta ◽  
Heavy Metal Contamination ◽  
Water Ecosystem ◽  
Adverse Influence ◽  
Trout Muscle

Heavy metal contamination of the Loučka River water ecosystem was assessed in July 2005. We analyzed concentrations of T-Hg (total mercury), Cd, Pb, Cr, Cu, Zn, and Ni in water, sediments, zoobenthos, and in the brown trout (Salmo trutta m. fario) muscle and liver tissues (a total of 28 individuals) at four sampling sites. The highest Pb and Ni concentrations (4.634-12.050 and 0.689-24.980 mg kg-1) were found in sediments. The zoobenthos was most contaminated by Zn and Cu (0.556-1.505 and 2.925-74.300 mg kg-1). The heavy metal contamination of river water was highest in Ni and Cr (0.1-6.8 and 0.5-10.0 mg l-1). Concentrations of heavy metals in the brown trout muscle were following (in mg kg-1): Pb 0.108 ± 0.073 - 1.010 ± 0.506, Cd 0.003 ± 0.002 - 0.026 ± 0.022, Zn 3.956 ± 0.371 - 5.801 ± 1.718, Ni 0.058 ± 0.018 - 0.102 ± 0.046, Cr 0.028 ± 0.005 - 0.073 ± 0.039, Cu 0.329 ± 0.079 - 0.437 ± 0.064 and Hg 0.065 ± 0.008 - 0.106 ± 0.047. Statistical differences (P < 0.05) in the brown trout muscle were in Pb and Zn. Cd, Cu and Zn were markedly accumulated in the brown trout liver (concentrations 0.107 ± 0.066 - 0.223 ± 0.078, 59.973 ± 38.951 - 145.800 ± 48.286 and 30.671 ± 3.574 - 34.274 ± 7.226 mg kg-1). Humans of 60 kg body mass may consume 1.5 kg of brown trout muscle from the Loučka River weekly without any risk. Adverse influence of the Uniglas distillery on the Loučka River environment contamination by heavy metals was not confirmed.

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