ВМІСТ ВАЖКИХ МЕТАЛІВ У ГРУНТАХ НАФТОЗАБРУДНЕНИХ ТЕРИТОРІЙ ПЕРЕДКАРПАТТЯ

The aim of the research was to study the effect of the inclusion of different types of perennial leguminous plants as winter wheat precursors in the crop rotation on the rate of accumulation of heavy metals in the soil compared to traditional winter wheat predecessors. The objectives of the research are to develop measures to reduce the accumulation of heavy metals in agricultural soils under conditions of modern crop rotation, limited by the number of crops grown and winter wheat. The accumulations of heavy metals in soils were calculated during the cultivation of the main crops of crop rotation with intensive fertilizer. The concentration of heavy metals in the soil was determined before and after the cultivation of legume precursors. Field studies were carried out during 2013-2017. On gray podzolized medium loamy soils of the Agronomichesky Research Institute of Vinnytsia National Agrarian University. We calculated the volumes of heavy metals with optimal rates of mineral fertilizer application for the most common types of crops grown in crop rotation. Four types of perennial grasses were sown: sowing alfalfa, meadow clover, horned lamb, sainfoin and eastern goatskin. After their four years of use, winter wheat was sown. The control was the predecessors in the following sequence: winter wheat - sunflower - winter wheat - corn. Laboratory studies of the content of mobile forms of heavy metals in soil were carried out in the Vinnytsia branch of the State Center for the Protection of Soil Fertility. Analysis of soil contamination with heavy metals during fertilization of major cereals showed that the amount of mineral fertilizers is from 257 kg/ha to 571 kg/ha for ammonium nitrate, from 175 to 225 kg/ha for double superphosphate and from 58 to 75 kg/ha on potassium chloride. According to the volume of mineral fertilizers used in the cultivation of winter wheat, 1944 mg / ha of lead and 339 mg / ha of cadmium enter the soil. Of these, with ammonium nitrate - 51.4% and 7.4%, respectively, with double superphosphate - 39.6% and 41.3% and with potassium chloride - 9.0% and 51.3%. When growing corn per 1 ha with mineral fertilizers, 2357 mg of lead and 434 mg of cadmium are applied, of which with ammonium nitrate - 48.4% and 6.7%, respectively, with double superphosphate - 42% and 41% and with potassium chloride. - 9.6% and 51.8%. Cultivation of spring barley leads to the receipt of mineral fertilizers to soils 1458 mg/ha of lead and 327 mg/ha of cadmium, of which with ammonium nitrate - respectively 35.2% and 4.0%, with double superphosphate - 52.8% and 42.8% and with potassium chloride - 12.0% and 53.2%. Mineral fertilization of winter rape leads to the entry into the soil per 1 ha of 2223 mg of lead and 390 mg of cadmium, of which with ammonium nitrate - respectively 51.4% and 7.4%, with double superphosphate - 39.6% and 41% and with potassium chloride - 9.0% and 51.5%. With mineral fertilizers for growing sunflower in the soil per 1 ha gets 2073 mg of lead and 427 mg of cadmium, of which with ammonium nitrate - respectively 41.4% and 5.2%, double superphosphate - 47.8% and 42.2 % and potassium chloride - 10.8% and 52.6%. The positive effect of growing leguminous perennial herbs on the decrease in the concentration of heavy metals in the soil and grain of winter wheat has been established. Under the conditions of intensive farming by Vinnitskaya, lead and cadmium fall into the soil for the use of mineral fertilizers in accordance with 1944 mg/ha and 339 mg/ha for growing winter wheat, 2357 mg/ha and 434 mg/ha for growing corn, 1458 mg/ha and 327 mg/ha when growing spring barley, 2223 mg/ha and 390 mg/ha when growing sunflower. The four-year cultivation of perennial leguminous grasses under intensive farming reduced the concentration of lead in the soil from 1.33 to 3.2 times and cadmium from 37 to 54 times compared with cereal crops, which contributed to improving the quality of winter wheat grain by reducing the concentration of lead from 1 7 to 2.4 times and cadmium from 1.4 times to 2.1 times. Key words: legumes, precursors, winter wheat, heavy metals, pollution.

The paper shows the dependence of the content of mobile forms of heavy metals in soils on the properties of soils (pH, E, humus, content of mobile phosphates). It is shown that an increase in the content of mobile forms of heavy metals in soils leads to a decrease in the intensity of photosynthesis and transpiration in plants, to an increase in the content of heavy metals in plants, to a significant change in the microbiological activity of soils and, in particular, to a decrease in nitrification in soils. The expediency of describing the dependence of the content and mobility of heavy metals in soils using correlation equations and regression equations is shown. Keywords: HEAVY METALS, SOIL, PLANTS, MICROFLORA, POLLUTION, INTERRELATIONS

In this study, the contents of five representative heavy metals (Cr, Pb, Zn, Cd and Cu) were determined in soil and propolis samples from four locations in southwestern Macedonia using atomic absorption spectrometry. The aim was to pinpoint the key factors that influence the content of heavy metals in propolis and to establish whether there is a connection between the contents of heavy metals in soil and in propolis from the same location. Generally, at all of the locations, the relative concentrations of heavy metals in soil were found to decrease in the following order: Zn>Cr>Cu>Pb>Cd. The highest mean values for concentrations of heavy metals in these soils were found to be: 72.03, 38.28, 26.64, 17.15 and 0.60 mg kg–1 for Zn, Cr, Cu, Pb and Cd, respectively, and they are all below the target values from the new Dutch list. The general trend of the heavy metal contents in propolis from the same four locations, in decreasing order, is: Pb>Cr>Zn>Cu≈Cd. Generally, the propolis samples from the highland locations (Orle and Rapeš) had lower overall contents of heavy metals than the lowland locations (Novaci and Makovo). All of the analyzed propolis samples meet the requirements of the Macedonian legislation and the international organizations for the maximum allowed levels for heavy metals. Attempts were made to find a correlation between the heavy metal contents in soil and propolis. According to our aim, the investigation presented herein offers one step towards a complete picture of ecological safety of the specific areas in the Republic of Macedonia. To do so, it is necessary to perform additional studies and to find appropriate biomonitoring methods. Further studies are needed to complete the picture and to determine the major pathways of incorporation of heavy metals in beehive products.

The soils of urban agglomerations dominated by heavy industry exhibit specific geochemical behaviour. New data are presented on total and mobile forms of heavy metals in soils contaminated by steelworks and chemical plants in different parts of Ukraine. The distribution of heavy metals in technogenic soils and the soil geochemical factors influencing the mobility of heavy metals and the mobile forms of metals in soil solution are assessed, and biogeochemical indices of polluted areas are determined. Heavy metal concentrations in soils of polluted areas are tens or hundreds of times higher than background values and maximum allowable concentrations, the soils’ buffer capacity is much diminished, and the mobility of heavy metals is increased. Microscopic fungi may be a supplementary criterion for ecological and geochemical studies.

With the rapid development of the economy, environmental pollution is becoming more and more serious. As one of the important carriers of industry and agriculture, the soil is one of the key concerns of people. The research on soil heavy metal pollution is also progressing day by day, and there are abundant research results. However, there are few studies on soil heavy metal pollution based on a granular level, most of which are whole-rock samples. Therefore, we evaluated the soil heavy metal pollution in the north bank of the Yellow River in Shandong province from the perspective of grain size. We hope to fill that gap. In this study, we systematically sampled topsoil from 15 sites on the north bank of the Yellow River in Shandong province. It was divided into two components, <20μm and 20-63μm, with a total of 32 data. The contents of heavy metals in soil were determined by ICP-MS. Based on experimental data, the single factor method and comprehensive index method were used to evaluate heavy metal pollution. The results showed that heavy metal pollution conditions were related to soil particle thickness. The contents of heavy metals in fine soil <20μm were higher. Among them, the heavy metal Ni content in 15 points exceeded the safety line, and 2 areas were slightly polluted. The composite index of 16 samples exceeded the safety line, and four sites had minor contamination. The heavy metal content of the soil with 20~63μm, thick particles was generally low, and the pollution evaluation result was clean. The results verified the geochemical characteristics of heavy metals enrichment in fine soil. In addition, the potential ecological hazards of heavy metals in soil particles < 20μm and 20-63μm were evaluated. The results showed slight ecological damage, which may be related to the biological toxicity of heavy metals.

The objectives of this study are to analyse the pollution status and spatial correlation of soil heavy metals and identify natural and anthropogenic sources of these heavy metals at different spatial scales. Two hundred and twenty-four soil samples (0-20cm) were collected and analysed for eight heavy metals (Cd, Hg, As, Cu, Pb, Cr, Zn and Ni) in soils of different land-use types in the Yangtze River Delta of Eastern China. The multivariate methods and factorial Kriging analysis were used to achieve the research objectives. The results indicated that the human and natural effects of different land-use types on the contents of soil heavy metals were different. The Cd, Hg, Cu, Pb and Zn in soils of industrial area were affected by human activities, and the pollution level of these heavy metals in this area was moderate. The Pb in soils of traffic area was affected by human activities, and eight heavy metals in soils of residential area and farmland area were affected by natural factor. The ecological risk status of eight heavy metals in soils of the whole study area was light. The heavy metals in soils showed three spatial scales (nugget effect, short range and long range). At the nugget effect and short range scales, the Cd, Hg, Cu, Pb and Zn in soils were affected by human and natural factors. At three spatial scales, the As, Cr and Ni in soils were affected by soil parent materials.

BackgroundThe accumulation of heavy metals in surface soil raises significant environmental and public health concerns around the world. This study aimed to examine the relationship between exposure to heavy metals in surface soil and the risk of pain among residents.MethodsUsing national data on eight heavy metals (arsenic, cadmium, chromium, copper, lead, mercury, nickel and zinc) in China's surface soil and a population cohort from 2011 to 2018, we analyzed pain occurrences in various body locations. Logistic regression models were used to assess the association between exposure to heavy metal in soil and pain, as adjusting for gender, age, education level, body mass index, living region, and lifestyle. The study included 13,178 individuals.ResultsHigher exposure to soil arsenic was found to be associated with increased risk of shoulders [adjusted odds ratio (99.99% CI), 1.49 (1.01, 2.19)], wrists [1.68 (1.06, 2.64)] and ankles pain [1.58 (1.01, 2.50)]. No association was found between the remaining seven heavy metals and different types of body pain.ConclusionOur results indicate that higher soil arsenic exposure is associated with an increased risk of pain in specific body regions. This study is the first examining the associations between multiple heavy metals in surface soil and the risks of pain in different body sites. Our findings provide new insights into the health risks of soil heavy metal exposure.

Magnetic susceptibility is a fast, inexpensive and reliable technique for estimating and monitoring the anthropogenic contamination of soil with heavy metals. However, it is essential to determine the factors affecting magnetic susceptibility before applying this technique to environmental studies. The objectives of this study were to investigate: the effect of parent materials and land use on the magnetic susceptibility and concentrations of Cd, Cr, Cu, Ni, Pb and Zn, and the capability of magnetic susceptibility to be an indicator of anthropogenic heavy metal contamination of soil in Khvalynsk, Saratov region, Russian Federation. 46 composite surface soil samples (0–10 cm) were taken. 1 M HNO3 extractable concentrations of Cd, Cr, Cu, Ni, Pb and Zn were determined by atomic absorption spectroscopy. Magnetic susceptibility at low and high frequency (χlf and χhf) was measured and frequency dependent susceptibility (χfd) was calculated. The average concentrations of Cd, Cr, Cu, Ni, Pb and Zn were 0.14; 0.43; 20.82; 4.14; 3.15 and 63.24 mg/kg, respectively. Magnetic susceptibility varied from 1.81 to 77.2 × 10−7 m3 kg−1. Correlations between magnetic properties and mobile forms of heavy metals in the soils of Khvalynsk have not been established. Therefore, in the soils studied, magnetic susceptibility could not be employed as an indicator of anthropogenic contamination of soil with heavy metals. Magnetic susceptibility can be used to assess the degree of soil transformation in Khvalynsk.

In order to understand the spatial distribution, influencing factors, ecological risk characteristics, and sources of heavy metals in the soil profile （0-1 m） of farmland in the Guanzhong Plain, soil samples of 0-1 m were collected from 124 sites in the Guanzhong Plain. The contents of heavy metals （As, Cd, Cr, Cu, Ni, Pb, and Zn） in soil were analyzed at different depths （0-10 cm, 10-20 cm, 20-40 cm, 40-60 cm, and 60-100 cm）. The study generated the spatial distribution characteristics of soil heavy metals based on geostatistics and investigated the influencing factors of heavy metals based on structural equation modeling （SEM）. In addition, the ecological environmental risks of soil heavy metals were evaluated using the methods of index of geo-accumulation （Igeo）, single factor contaminant index （Pi）, and potential ecological risk index （Ei）. Finally, the sources of soil heavy metals were analyzed using the PMF model. The results showed that the average heavy metal content of ω（As）, ω（Cd）, ω（Cr）, ω（Cu）, ω（Ni）, ω（Pb）, and ω（Zn） in the 0-10 cm were 19.57, 0.71, 69.65, 21.91, 28.67, 17.54, and 73.77 mg·kg-1, respectively. The average values of As, Cd, Cr, Pb, and Zn exceeded the background values. With the increasing soil depth, all heavy metals showed a decreasing trend except for Cd and Ni. The spatial distribution indicated that different heavy metals in the same soil layer had different spatial distributions, and the spatial distribution of heavy metals also varied at different depths. The structural equation model showed that the factors affecting the distribution of heavy metals at different depths were deeply dependent. The ecological risk assessment showed that Cd at different depths had higher ecological risks, while the rest were considered minor risks. The sources of 0-40 cm soil layer were consistent, and the main sources were pesticides and herbicides, organic fertilizers and fertilizers, natural sources, and traffic-induced atmospheric subsidence and industrial sources； the sources of 40-100 cm were consistent, and the main sources were pesticides and herbicides, organic fertilizers and fertilizers, natural sources, and traffic-induced atmospheric subsidence.

Heavy metals contamination in agricultural soil is a potential environmental threat to the safety of agricultural food crops such as rice which is consumed by majority of Tanzanians. The aim of this review is to put together available information on sources of heavy metals, their extent of contamination in agricultural soil and in rice, the risk of exposure through rice consumption as well as the relationship between heavy metals contamination in agricultural soils and in rice in Tanzania. There are several methods of determining the concentrations of heavy metals in soils and in rice. These include Inductively Coupled Plasma Mass Spectrometer (ICP – MS) and Energy Dispersive X – ray Fluorescence spectrometer (EDXRF). It has been mostly reported that the extent of heavy metals contamination in agricultural soils is influenced by their closeness to mining or industrial areas. The use of river waters in mining areas or wastewater from industries for irrigation has been associated to increasing levels of heavy metals in agricultural soils. The elevated level of heavy metals in agricultural soils leads to their accumulation in crops especially rice which upon consumption poses health effects to human and the ecosystem at large. This review suggests the need for determining the extent of heavy metals contamination in agricultural soils around potential areas such as mining and to link this with exposure assessment on heavy metals through rice consumption in Tanzania. This information is necessary to establish the extent at which rice consumers in Tanzania are at risk of heavy metals exposure.

Characteristics, correlations and health risks of PCDD/Fs and heavy metals in surface soil near municipal solid waste incineration plants in Southwest China

Factors influencing the distribution of heavy metals in the alluvial soils of the Velika Morava River valley, Serbia

Concern over the harmful impacts of heavy metal pollution in soil has increased dramatically on a global scale. For the sake of environmental preservation, accurate estimates of the heavy metal concentrations in soil are essential. This study provides valuable data regarding heavy metal concentrations in soil collected from field crops production area in Central and Western Serbia. Five wider localities in the zones of Central and Western Serbia were selected for the collection of soil samples. Based on our research, focused on determining the total contents of heavy metals in the soil and the degree of pollution in the environment caused by their behavior, distribution, and origin, it can be concluded that there is pronounced variability in relation to localities. Heavy metal contents were mostly within the same ranges as those in similar soils from Europe and around the world. Any pollution control system must include heavy metal monitoring, including the methodical collection of data on the concentrations of heavy metals in a particular environment. Before environmental degradation occurs, it is crucial to set pollution limits and implement efficient monitoring procedures.

It is extremely important to explore the heavy metal content and spatial distribution in different cultivated soils. In our study, cokriging (COK) method was used to investigate the relationship between heavy metals and land use types. A total of six heavy metals including Zn, Fe, Cu, Mn, B, S were selected to forecast the heavy metals in cultivated soils. Five types of cultivated land were considered in the study area, including vegetable land, irrigated land, irrigated paddy field, dry land, orchard. Test of normality was firstly carried out to assure that higher prediction accuracy can be obtained, and then correlation analysis and analysis of variance (ANOVA) were performed to find out the most sensitive heavy metals for spatial interpolation. The analysis results showed that Zn, Cu and Fe were the primary heavy metals in soil of the study area. It was obvious that the effect of Mn and Fe were much greater caused by land use types, while they were smaller for B and S. Three errors of mean standard (MS), root mean square error (RMSE), and root mean square standardized error (RMSSE) were derived to assess the prediction accuracy. In comparison with ordinary kriging (OK), the MS of COK approached to 1, the RMSE was much smaller and the RMSSE also approached to 1, which showed that COK can make better predictions than OK.

Vertical distribution and migration of heavy metals in soil of green stormwater infrastructure receiving roof runoff