scholarly journals Effects of mining on the molybdenum absorption and translocation of plants in the Luanchuan molybdenum mine

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9183
Author(s):  
Kejing Yin ◽  
Zhaoyong Shi ◽  
Mengge Zhang ◽  
Yajuan Li
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Hazard Index ◽  
Translocation Factor ◽  
Mining Area ◽  
Rhizospheric Soil ◽  
Indigenous Plants ◽  
Index Method ◽  
Mining Soils

Background There is a critical need to examine whether mining of molybdenum (Mo) ore will affect Mo absorption and translocation by plants at a community level. Methods Indigenous plants and their rhizospheric soil (0–20 cm) growing in two different areas including the mining and the unexploited areas were collected from the Luanchuan Mo mine—one of the largest Mo mines in Asia. The concentrations of Mo and other heavy metals of plants or soil were measured by ICP-AES. Mo absorption and translocation in plants growing in two areas were investigated and compared. Heavy metal pollution in soil was also evaluated by the potential ecological hazard index method. Results Mo concentration in mining soils was higher with the changes from 108.13 to 268.13 mg kg−1 compared to unexploited area. Mo concentrations in shoots and roots of plants growing in the mining area were also significant higher than those growing in the unexploited area with 2.59 and 2.99 times, respectively. The Mo translocation factor of plants growing in the unexploited area was 1.61, which reached 1.69 times that of plants growing in the mining area. Mo was the main heavy metal pollutant in the soil of both the mining and the unexploited areas. Conclusion Mining of Mo had changed not only the Mo concentration in soil but also Mo absorption and translocation in plants. Plants growing in the mining area absorbed more Mo from the soil but translocated relatively less to shoots than plants of the unexploited area. However, the mechanisms of Mo absorption and translocation of plants in mining area should be further studied in the future.

scholarly journals Study on soil pollution caused by heavy metals in coal mining areas and vegetation restoration in surrounding areas

2021 ◽  
Author(s):  
Xun Wang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Coal Mining ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Soil Layer ◽  
Mining Area ◽  
Vegetation Restoration ◽  
Mining Areas ◽  
Ligustrum Lucidum

Abstract In this study, taking a coal mining area as an example, three vegetation restoration modes were designed: Populus L., Ligustrum lucidum Ait., and Amygdalus persica L., and soil and plant samples were collected to determine and evaluate the heavy metals. It was found that all the three modes were effective in eliminating heavy metal pollution in the soil, especially Populus L. and Ligustrum lucidum Ait.; in the soil layer at a depth of 0–20 cm, the content of Cd was the lowest (2.68 mg/kg) in Populus L., and the content of Cr and Pb was the lowest (58.64 mg/kg and 95.36 mg/kg) in Ligustrum lucidum Ait., which was significantly lower than that in the bare land. The evaluation results demonstrated that the pollution under Populus L. and Ligustrum lucidum Ait. modes was moderate. In the aspect of the heavy metal content in plants, the content of Cd was the lowest, and the content of Cr and Pb was high. In the same plant, the content of heavy metals in the leaf was the lowest, followed by the stem and root. The experimental results show that the vegetation restoration mode can relieve the heavy metal pollution, which makes some contributions to solve the ecological restoration problem in coal mining areas.

scholarly journals Bioakumulasi Merkuri (Hg) pada Lamun Enhalus acoroides dan Mangrove Rhizophora apiculata di Pulau Pari, Kepulauan Seribu

2021 ◽  
Vol 6 (3) ◽  
pp. 137
Author(s):  
Anna Rejeki Simbolon ◽  
Triyoni Purbonegoro
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Negative Impact ◽  
Translocation Factor ◽  
Enhalus Acoroides ◽  
Rhizophora Apiculata ◽  
Plant Body ◽  
Thousand Islands

<strong>Bioaccumulation of Mercury (Hg) in Seagrass <em>Enhalus acoroides</em> and Mangrove <em>Rhizophora apiculata</em> in Pari Island, Seribu Islands.  </strong>Heavy metal pollution, especially Hg metal in Jakarta Bay, is feared to have a negative impact on the quality of the waters around the Jakarta Bay waters, one of which is Pari Island in the Thousand Islands. Seagrass and mangroves plants distributed surrounding Pari Island can be used as indicators of heavy metal pollution. The value of bioaccumulation and translocation of Hg metal factors will provide an overview of the ability of plants to accumulate heavy metals in their surroundings. This study aims to determine the bioaccumulation and translocation of the heavy metal Hg factor in <em>Enhalus acoroides</em> seagrass and <em>Rhizophora apiculata</em> mangroves on Pari Island, Seribu Islands. Seagrass and mangrove samples were taken at five sampling points through purposive sampling. The bioaccumulation value was calculated using the ratio of the metal concentrations in each part of the plant body and sediment. Meanwhile, the translocation factor value was calculated by the ratio of Hg concentration in each part of the plant body (roots/rhizomes, stems, and leaves). The results of this study indicate that the bioaccumulation value in seagrass is infinite (bioaccumulation factor, BAF=∞) and in mangroves is 1.57 (BAF&gt;1). The highest <em>translocation factor</em> value in seagrass leaves is 3.86 (translocation factor, TF) &gt;1) and in mangrove leaves is 2.84 (TF&gt;1). This study shows that seagrass and mangrove plants are classified as good bio accumulator and hyperaccumulator plants and accumulate heavy metals, especially Hg in the upper part of their bodies, namely leaves

scholarly journals Real-Time Detection Method for Heavy Metal Pollution in Soil of Mining Area

2020 ◽  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Real Time ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Detection Method ◽  
Pollution Index ◽  
Mining Area ◽  
Pollution Sources ◽  
Real Time Detection

<p>Solid wastes and acid wastewater lead to the enrichment of heavy metals in the soil of mining area. Heavy metal pollution causes the decline of soil quality, ecosystem degradation, crop yield reduction, and even threatens human health. For this reason, the real-time detection method for heavy metal pollution in mining area is studied. Taking a mining area as an example, the data of heavy metal content in mining area soil are collected by PLSR model. Based on the collected data, the real-time detection model of heavy metal pollution in mining area soil based on improved analytic hierarchy process and weighted average method is adopted to real-time detect the heavy metal pollution index in the soil of mining area. The results show that the pollution index of Cu, Zn and Pb in the soil of this mining area belongs to heavy pollution, and the pollution of Cd is relatively small. Among them, the pollution index of Pb is the largest among the four heavy metals, and the pollution is quite serious. The pollution sources of Pb, Zn and Cu in this mining area are the same, and the pollution sources of Cd are different from those of other three heavy metals.</p>

scholarly journals Heavy Metal Accumulation Affects the Structure of Microorganisms and Increases Abundance of Resistance Genes in Rare Earth Mining Areas

2021 ◽  
Author(s):  
Minjie Chen ◽  
Xiaoru Jiang ◽  
Zhansheng Mi ◽  
Yafei Li ◽  
Zhe Wang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Rare Earth ◽  
Microbial Community ◽  
Resistance Genes ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
High Throughput Sequencing ◽  
Mining Area ◽  
Mining Areas

Abstract Background Environmental pollution from rare earth mining areas is of great concern, but the impact on microbial ecology and genomics has received little attention. In this study, the relationship between heavy metals and soil microbial community in the northern rare earth mining area was explored. Methods In order to study the detoxification mechanisms of heavy metals by microorganisms in this typical rare earth mining area, the study area was divided into three parts (mining area, residential area and control area). Analysis of microbial community diversity, structure and functional abundance using high-throughput sequencing techniques. Analysis of the effect of heavy metal pollution on the abundance of heavy metal resistance genes in soils of different regions using real-time fluorescence quantitative PCR. Results The results showed that the heavy metal pollution rules: mining area > residential area > control area. Under the condition of long-term heavy metal pollution, the original microbial community composition was changed, and the species richness and evenness of soil in mining areas were higher than that in residential areas. The high-throughput sequencing analysis showed that existed metal-resistant microbial communities such as Actinobacteria, Proteobacteria, Korarchaeota and so on under the stress of heavy metal. High concentrations of heavy metals can inhibit the activities of catalase and sucrase. According to Tax4Fun function prediction analysis, heavy metal accumulation increased the ABC transporter protein in microbial function. The results of fluorescence quantification experiments also demonstrated that the abundance of heavy metal resistance genes, czcA, czcB, czcC and czcD, encoding ABC transporter proteins, increased with increasing heavy metal concentrations. Conclusions In conclusion, the accumulation of heavy metals not only changed the soil physicochemical properties and the microbial community structure, but also decreased soil enzyme activities and increased the abundance of resistance genes, which activated the detoxification mechanism of heavy metals. which provided a reference for future ecological remediation.

Heavy Metals in Grains from Jilin Province, China, and Human Health Risk

2020 ◽  
Vol 83 (12) ◽  
pp. 2193-2199
Author(s):  
DANYANG GE ◽  
HAICHENG GAO ◽  
NAN GUO ◽  
MENGMENG JIANG ◽  
HAIXIA MA ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Human Health ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Hazard Quotient ◽  
Hazard Index ◽  
National Standards ◽  
Jilin Province ◽  
Target Hazard Quotient

ABSTRACT Heavy metals are an indispensable part of industrial and agricultural development. As the cradle of China's industry and an important province for agricultural production, Jilin Province has been an area of concern about heavy metal pollution in the local environment and grains. In this study, we focused on four heavy metals that are harmful to humans: arsenic (As), cadmium (Cd), methylmercury (MeHg), and inorganic arsenic (iAs). We determined the contents of these metals in 341 grain samples by using graphite furnace atomic absorption spectrometry and liquid chromatography–atomic fluorescence spectrometry and compared our results with the limit value of national standards. To evaluate the potential risk to human health, we determined the target hazard quotient and hazard index. Heavy metals were detected at these rates, from high to low: Cd (48%) &gt; iAs (20.8%) &gt; MeHg (4.6%) &gt; Pb (3%). Most of these values are far below the limit of national standards. The target hazard quotient and hazard index were both smaller than 1; thus, we conclude that heavy metal pollution in grains in Jilin Province is not serious and that people are not at high risk from heavy metals in grains. HIGHLIGHTS

scholarly journals Study on Heavy Metal Pollution Characteristics and its Health Risk Assessment from Sludge of Sewage Treatment Plants in Industrial Parks

2020 ◽  
Author(s):  
Xiuyan Han ◽  
Tianyi Cao ◽  
Tao Sun
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Heavy Metal ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Sewage Treatment ◽  
Industrial Park ◽  
Index Method

Abstract Background In order to study the characteristics of heavy metal pollution from sludge in industrial parks and the effective methods of health risk assessment, in this paper, the pollution characteristics of eight heavy metals including Zn, Cu, Pb, Hg, Cr, Ni, As, Cd in sludge of sewage treatment plants in Nanjing MV Industrial Park were comprehensively evaluated and compared by using Nemerow Index Method, Muller Index Method and Matter element extension method. On this basis, the health risk assessment models of non-carcinogenic and carcinogenic heavy metals were constructed, and the health risks caused by four kinds of non-carcinogenic heavy metals Pb, Zn, Cu, Hg and four kinds of carcinogenic heavy metals Cr, As,Cd, Nicontained in sludge were evaluated by using the practical data of Nanjing Industrial Park. Results According to the evaluation results of heavy metal pollution characteristics in sludge of sewage treatment plants in Nanjing MV Industrial Park, the order of different pollution levels under different assessment methods is as follows: the level of the Nemerow Index Method assessment was low, the level of the Muller Index Method assessment was high, and the level of Grey Clustering Method assessment was relatively moderate. In the health risk assessment of heavy metals, the results showed that the order of effects of non-carcinogenic heavy metals on health risk ranged from large to small was: Hg, Cu, Pb, and Zn, and the health risk of non-carcinogenic heavy metal in children was much higher than that in adults. Similarly, the order of effects of carcinogenic heavy metal health risk ranged from large to small was Cd, Cr, Ni and As, and the health risk of carcinogenic heavy metal in children was slightly lower than that in adults. Conclusions It can be seen that there is a certain degree of heavy metal pollution in the sludge of the sewage treatment plant in Nanjing MV Industrial Park, which affects the environmental quality in the park and the health risks of residents. This study verifies the assessment method of the heavy metal pollution characteristics and health risk is effective, and its research results have a guiding role in the management of heavy metal pollution in the sludge of the sewage treatment plant in Nanjing MV Industrial Park. It also has significant theoretical support for the government to formulate the eco-environmental quality standards and related policies of industrial parks.

scholarly journals Analysis of Soil Pollution Degree and Causes Based on Mathematical Model

2018 ◽  
Vol 9 (2) ◽  
pp. 16
Author(s):  
Yunhui Zeng ◽  
Yuanbiao Zhang ◽  
Shusheng Huang ◽  
Hongfei Guo ◽  
Yilin Chen ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Distribution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Soil ◽  
Distribution Map ◽  
Index Method ◽  
The City ◽  
Spatial Distribution Map

Taking the heavy metal pollution in the urban surface soil as the object, this paper analyzes the degree of heavy metal pollution in different areas in the city and the main causes of pollution. Firstly, this paper uses Kriging interpolation method to increase the sample data together with Surfer software to draw the spatial distribution map of eight heavy metals, and then compares the single factor index method and the geological accumulation index-Nemero index method to make a comprehensive evaluation of the heavy metal pollution degree in different areas of the city. It is concluded that the pollution level in the area from slight to heavy is: mountain areas, park green areas, living areas, traffic areas, industrial areas. Then, the main comprehensive index of heavy metals is extracted by the principal component analysis, and the spatial distribution map of the main factors is drawn based on it. According to the spatial distribution map, the main cause of heavy metal pollution is the emission of automobile exhaust and industrial waste, which provides a reliable theoretical basis for the prevention and treatment of heavy metal pollution in the urban surface soil.

scholarly journals Assessment of Lichens as Biomonitors of Heavy Metal Pollution in Selected Mining Area, Slovakia

2021 ◽  
Vol 22 (1) ◽  
pp. 53-59
Author(s):  
Amer H. Tarawneh
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Mining Area ◽  
Hypogymnia Physodes ◽  
Pseudevernia Furfuracea ◽  
Rhizocarpon Geographicum ◽  
Xanthoria Parietina ◽  
Spoil Heaps

Lichens have widely been used as bioindicators to reflect the quality of the environment. The present study was conducted to investigate the lichens diversity that grows on the surface of waste heaps from an abandoned old copper mine in Mlynky, Slovakia. In spite of the heavy metalcontaminated environment, we documented twenty species of lichens in the selected site. Taxonomically the most numerous group were represented by Cladonia with seven species, as well other species; namely, Acarospora fuscata, Cetraria islandica, Dermatocarpon miniatum, Hypogymnia physodes, Hypogymnia tubulosa, Lecanora subaurea, Lepraria incana, Physcia aipolia, Porpidia macrocarpa, Pseudevernia furfuracea, Rhizocarpon geographicum and Xanthoria parietina. The content of selected heavy metals (Cu, Fe, and Zn) in the predominant lichens Cetraria islandica, Cladonia digitata, Cladonia pyxidata, Hypogymnia physodes and Pseudevernia furfuracea were analyzed. The highest content of Cu, Fe, and Zn was found in Cladonia pyxidata collected from mine-spoil heaps with concentration 46 ± 4.4, 82.5 ± 22.6, 4.8 ± 1.6 mg/kg, respectively. Interestingly, Cladonia pyxidata collected from the forest surrounding the location showed 15 times lower concentration for Cu. Additionally, similar results were found for Fe and Zn.

scholarly journals Analysis and Evaluation on Characteristics of Heavy Metal Pollution in the Coastal Farmland Soil along the Wuma River

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Xiongfei Cai ◽  
Die Xu ◽  
Shijie Zhao ◽  
Li Lei ◽  
Ji Wang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Guizhou Province ◽  
Risk Level ◽  
Index Method ◽  
Farmland Soil

The thesis is aimed to provide a reference for the sustainable utilization of farmland soils along the Wuma River, an upstream tributary of the Chishui River in Guizhou Province. Geo accumulation index method, Nemero comprehensive pollution index method, and potential ecological hazard index method were used based on the experimental data for analyzing and evaluating the heavy metal pollution status of farmland soil along Wuma River. The results showed that: (1) The contents of heavy metals Ni, Cu, Zn, Pb and Hg in farmland soil exceeded the soil background values of 9.82%, 47.80%, 13.72% and 76.06% in Guizhou Province, respectively, but did not exceed the standard limit class II based on the environmental quality. (2). The pollutants of Pb and Zn in the research area mainly come from mineral exploitation, waste residue accumulation, and transportation. The enrichment of Cr and Cu may originate from the domestic garbage dumping and incinerated waste by residents along the coast and irrational agricultural activities. The main contents of Cd, As and Hg come from soil geochemistry. (3) The ranking of accumulations of eight heavy metals was IPb>IHg>ICu>INi>IZn>ICr>IAs>ICd, among which Pb was non-moderately polluted and the remaining heavy metals were at the clean level; Nemero comprehensive pollution index showed that As, Cr, Zn, and Ni were mildly polluted, while Pb, Hg, and Cu were moderately polluted. The ranking of potential ecological risk levels for the eight heavy metals was Hg, Pb, Cu, Ni, As, Cd, Cr, Zn. The overall ecological risk level is mild.

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