Enrichment Of Heavy Metals Research Articles

Migration Characteristics and Potential Ecological Environment Evaluation of Metal Elements in Surface Soil

In view of the excessive heavy metals in soil will affect the quality of crops and the personal safety of local residents, in order to analyze and evaluate the migration characteristics and potential ecological risks of heavy metals in soil in the study area, the heavy metal content, pH, regional distribution, correlation, migration characteristics, enrichment state and potential risk in 0–1 m soil depth were tested and analyzed. The results show that the distribution of most metal elements is closely related to pH in the soil. The contents of elements As, Cr and Hg in the soil of the study area change in an “L” shape along with the buried depth, that is, the contents of As, Cr and Hg increase generally along with the buried depth of the soil, and the contents of elements Cd and Pb decrease along with the buried depth. By analyzing the enrichment degree of heavy metals and evaluating the ecological risk degree, it can be concluded that only element Hg is moderately enriched in the soil layer of 0–0.4 m and Cd is the main ecological risk factor, and the potential ecological risk degree of Yuyao is between slight and moderate ecological risks.

Remarkable enrichment of heavy metals in baghouse filter dust during direct-fired thermal desorption of contaminated soil

This study focuses on the widely applied technology of direct-fired thermal desorption, taking a site contaminated by polycyclic aromatic hydrocarbons (PAHs) as a typical test case. The entire thermal desorption process of contaminated soil is considered in the analysis. The concentration levels and occurrence characteristics of heavy metals in dust traditionally considered to be clean are evaluated, and possible secondary pollution and environmental impacts are explored. The results indicate that, compared with the thermal desorption soil, the dust samples generated in the baghouse filter during the ex situ direct-fired thermal desorption process have higher amounts of heavy metal accumulation as well as altered speciation. In addition, the enrichment characteristics and origins of the heavy metals are analyzed according to the process flow and particle size composition as well as the results of X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), electron probe microanalysis (EPMA), and other microscopic research methods. Phenomenon further reveals enrichment of arsenic (As), nickel (Ni), and chromium (Cr). The findings of this study can provide a scientific basis for the proper disposal and risk management of the dust collected after direct-fired thermal desorption treatment of contaminated soil.

Migration and transformation of heavy metals in Chinese medicine residues during the process of traditional pyrolysis and solar pyrolysis

Chinese medicine residues (CMRs) have always been considered difficult to realize resource treatment because of the possible residual heavy metals (HMs). In this study, CMRs containing HMs (Cu, Cd and Pb) were pyrolized in the tube furnace and the solar pyrolysis equipment. The ratio of HMs entering the pyrolysis products (bio-gas, bio-oil and bio-char) and the stability of HMs in biochar were analyzed. A comparative analysis showed that the less volatile HMs were basically concentrated in the biochar after the pyrolysis treatment, indicating that pyrolysis could enrich the HMs in the biochar. The leaching experiments showed that the leaching rates of Cu, Cd and Pb from biochar were 0–0.41%, 0–3.03% and 0.09–0.86% respectively, while the leaching rates of CMR were as high as 18.85, 10.98 and 2.52%, indicating that the pyrolysis process could improve the fixation effect of HMs in biomass to a greater extent and reduce the leaching toxicity of HMs. Compared with the traditional pyrolysis method, the solar pyrolysis had the same effect on the enrichment and stabilization of heavy metals in CMRs, which means that it is possible to realize the resource treatment of CMR through a renewable green energy (solar energy).

Assessment of the Ecological Risk from Heavy Metals in the Surface Sediment of River Surma, Bangladesh: Coupled Approach of Monte Carlo Simulation and Multi-Component Statistical Analysis

River sediment can be used to measure the pollution level in natural water, as it serves as one of the vital environmental indicators. This study aims to assess heavy metal pollution namely Copper (Cu), Iron (Fe), Manganese (Mn), Zinc (Zn), Nickel (Ni), Lead (Pb), and Cadmium (Cd) in Surma River. Further, it compares potential ecological risk index values using Hakanson Risk Index (RI) and Monte Carlo Simulation (MCS) approach to evaluate the environmental risks caused by these heavy metals. in the study area. With obtained results, enrichment of individual heavy metals in the study area was found in the order of Ni > Pb > Cd > Mn > Cu > Zn. Also, variance in MCS index contributed by studied metals was in the order of Cd > Pb > Ni > Zn > Cu. None of the heavy metals, except Ni, showed moderate contamination of the sediment. Risk index values from RI and MCS provide valuable insights in the contamination profile of the river, indicating the studied river is currently under low ecological risk for the studied heavy metals. This study can be utilized to assess the susceptibility of the river sediment to heavy metal pollution near an urban core, and to have a better understanding of the contamination profile of a river.

Health risk assessment and hydrogeochemical modelling of groundwater due to heavy metals contaminants at Basundhara coal mining region, India

ABSTRACT The enrichment of heavy metals and mixing with groundwater resources, which makes a serious threat to human health and the environment. The present study was conducted to determine the enrichment of heavy metals in groundwater, geochemical modelling, and to estimate the probable health risks (non-carcinogenic and carcinogenic) of a coal mining region, in eastern India. The relative abundance of mean heavy metal concentration was in the order of Fe > Zn > Al > Ba > Mn > Sr > Ni > Ag > Cu > Pb > V > Cr > Co > Cd, and are within the WHO standards limits for drinking water values. Groundwater shows pH values as generally acidic to alkaline in nature, while Eh values indicate an oxidising environment. Principal component analysis indicates, metal concentration in the groundwater to be mainly derived from the geogenic sources and in-situ leaching of mine overburden materials. Hydrogeochemical modelling indicates heavy metals are in supersaturation to near neutral state in the groundwater with oxide and carbonate mineral phases. Based on (HPI), and (HEI) values, the majority of groundwater samples are low to moderately contaminated. The health risk assessment model based on hazard quotient (HQ) and hazard index (HI) values show few groundwater samples as crossing the reference limit and have non-carcinogenic health risks for both children and adults. The study identifies the chemical characterisation and potential health risks due to the presence of heavy metals in the groundwater of the coal mining region.

Effects of Heavy Metal Content on Fungal Community Structure in Urban Soil

As an important part of the soil microbial system, fungi can clearly indicate changes in the soil environment.Human activities in the city can easily affect the soil condition, so the phenomenon of artificial heavy metal enrichment often appears in urban soil. The objective of this study was to analyze the fungal community structure in different urban functional areas and to determine the effect of heavy metal content in different urban functional areas on the soil fungal community structure. This study provides theoretical basis for protecting and repairing the urban soil ecosystem and transforming and improving urban environmental quality. Soil samples from eight sampling sites in five functional areas of Beibei District in Chongqing were taken as the research objects. The diversity and community structure of fungi in soil were studied using high-throughput sequencing technology. The content of Cd and Hg in the soil of different functional areas in Beibei District exceeded the environmental background value of Chongqing. The 20-40 cm and 40-60 cm soil layers of JD were slightly polluted. The 20-40 cm soil layer and 0-20 cm soil layer of JLD and ZYY, respectively, were in the alerting state of heavy metal pollution. The Sobs index, Chao 1 index, and Ace index of most sampling points decreased with the increase in soil depth. The NMDS analysis showed that the composition of fungal communities between the 0-20 cm and 20-40 cm soil depths in both JD and ZYY were quite different. From the perspective of community composition, Ascomycota was the most abundant phylum in the soil, followed by unclassified _k _Fungi and Basidiomycota. At the genus level, unclassified_k_Fungi, unclassified_p_Ascomycota, unclassified_o_Sordariales, Scopuloides, Robillarda, and Dactylonectria had higher abundances. The redundancy analysis (RDA) showed that Pb and Zn had the greatest effect on the samples, and the effect on the fungal community structure was significantly different. This study has deepened the understanding of the relationship between the content of heavy metals in different urban functional areas and the structure of fungal communities and has provided a scientific basis for the rational use and planning of urban soil.

Microbial diversity in intensively farmed lake sediment contaminated by heavy metals and identification of microbial taxa bioindicators of environmental quality

The cumulative effects of anthropogenic stress on freshwater ecosystems are becoming increasingly evident and worrisome. In lake sediments contaminated by heavy metals, the composition and structure of microbial communities can change and affect nutrient transformation and biogeochemical cycling of sediments. In this study, bacterial and archaeal communities of lake sediments under fish pressure contaminated with heavy metals were investigated by the Illumina MiSeq platform. Despite the similar content of most of the heavy metals in the lagoon sediments, we found that their microbial communities were different in diversity and composition. This difference would be determined by the resilience or tolerance of the microbial communities to the heavy metal enrichment gradient. Thirty-two different phyla and 66 different microbial classes were identified in sediment from the three lagoons studied. The highest percentages of contribution in the differentiation of microbial communities were presented by the classes Alphaproteobacteria (19.08%), Cyanophyceae (14.96%), Betaproteobacteria (9.01%) y Actinobacteria (7.55%). The bacteria that predominated in sediments with high levels of Cd and As were Deltaproteobacteria, Actinobacteria, Coriobacteriia, Nitrososphaeria and Acidobacteria (Pomacocha), Alphaproteobacteria, Chitinophagia, Nitrospira and Clostridia (Tipicocha) and Betaproteobacteria (Tranca Grande). Finally, the results allow us to expand the current knowledge of microbial diversity in lake sediments contaminated with heavy metals and to identify bioindicators taxa of environmental quality that can be used in the monitoring and control of heavy metal contamination.

A review on the ecotoxicological effects of heavy metals on aquatic organisms-siftdesk

In recent years, with the rapid development of the global economy, heavy metals have been widely used in industrial production and daily life because of their unique properties. This, however, has simultaneously led to heavy metal pollution due to various reasons. After entering the aquatic environment, heavy metals are not easily decomposed by microorganisms and become toxic when they reach a certain concentration. Heavy metals can easily enter the liver and other vital organs of aquatic organisms, where they accumulate and severely affect the growth and reproduction of these organisms. They can also threaten human health through the food chain. Therefore, heavy metal pollution has potential ecological and health risks. This paper summarizes the sources and hazards of heavy metals in water, the pattern of enrichment of heavy metals in aquatic organisms, the toxic effects of heavy metals on aquatic organisms, the tolerance mechanism of aquatic animals to heavy metals, and the factors affecting the toxicity of heavy metals. The authors put forward three feasible suggestions for the study of ecotoxicological effects of heavy metals on aquatic organisms in the future. The results of this study have considerable significance for aquaculture and environmental management and even for humans.

Indication of Heavy Metal Enrichment in the Environment by Bryophytes

Indication of Heavy Metal Enrichment in the Environment by Bryophytes

The Heavy Metals Enrichment Characteristics of Native Plants in Abandoned Farmlands of Baiyin City, Northwest China

The Heavy Metals Enrichment Characteristics of Native Plants in Abandoned Farmlands of Baiyin City, Northwest China

Unsupervised Semantic Segmenting TLS Data of Individual Tree Based on Smoothness Constraint Using Open-Source Datasets

Unsupervised segmentation of Terrestrial Laser Scanning (TLS) data into wood and leaf is the key for studying forest carbon storage, photosynthesis, canopy radiation. Further segmentation of wood data into trunk and larger branch (TLB), remaining branch (RB) is of great significance and challenge for dust retention, soil heavy metal enrichment. We proposed an unsupervised, automatic semantic segmentation method based on TLS data of individual tree. The method firstly performs initial segmentation based on plane fitting residuals and neighborhood normal angle, which can extract smooth and connected regions in point cloud. Then, the geometric features of segmented clusters are quantified to approximate RB or leaf features. Finally, the segmentation of TLB, RB, and leaf is realized by combining different clusters from bottom to top with geometric features and neighborhood relations. The segmentation performance of our method was evaluated with 104 tree samples from 23 tree species in two open-source datasets from Indonesia, Peru, Guyana and from Canada and Finland. The micro-average precision of our method is 93.61%. The micro-average recalls of TLB, RB, and leaf are 97.08%, 86.44%, and 89.62%. Compared with the well-known method of separating wood and leaf, our method has 33.56% higher sensitivity, 1.82% higher specificity, 20.52% higher precision, and 0.217 higher F1-score. Besides, we estimated the surface area and volume of TLB, the surface area and volume of RB based on the segmented data. The above parameters have good consistency compared to those calculated based on manually separated point clouds (Pearson correlation coefficient (PCC) of 0.55-0.93).

Environmental Background Values and Ecological Risk Assessment of Heavy Metals in Watershed Sediments: A Comparison of Assessment Methods

The distribution and assessment of heavy metal pollution in sediments have been extensively studied worldwide. Risk assessment methods based on total content, background values, and sediment quality guidelines are widely applied but have never been compared. We systematically sorted out these evaluation methods, obtained evaluation results using actual monitoring data, and compared their applicability. The results showed that the background values of different metals are significantly different, which may depend on their mobility. Geoaccumulation index (Igeo) and enrichment factor (EF) values invariably decreased with the increase of background values for individual heavy metal enrichment risk assessment. Compared with EF, Igeo also showed a significant positive linear correlation with heavy metal content. Pollution load index (PLI), modified contamination degree (mCd), and potential ecological risk index (RI) showed significant differences in response to background values and evaluation levels for the comprehensive risk of heavy metal enrichment, but their distribution trends along with the sampling points were basically identical. Toxic risk index (TRI), mean ERM quotient (mERMQ), and contamination severity index (CSI) were used to evaluate the damage degree of complex heavy metals to aquatic organisms and shared a similar whole-process distribution trend. The modified hazard quotient (mHQ), which is used to evaluate the toxicity of a single heavy metal to aquatic organisms, showed a significant positive linear correlation with the total content of each heavy metal, indicating that the toxic effect on organisms can be predicted through the direct monitoring. The results of this study have important guiding significance for the selection of evaluation methods for heavy metal pollution in sediments.

Ecological risk of heavy metals in lake sediments of China: A national-scale integrated analysis

Intensive anthropogenic activities, specifically, industrial and agricultural production, have resulted in heavy metal enrichment in lake sediment and threats to aquatic ecosystems and human health. Evaluating the potential ecological risk of heavy metals in lake sediment is essential for promoting appropriate lake management in aquatic ecosystems. Large-spatial scale risk evaluations of heavy metal pollution in lake sediment in densely populated countries such as China are lacking. We compiled sediment heavy metal (Cu, Pb, Zn, Ni, Cr, As, Hg, and Cd) data from 190 lakes distributed across five geographic zones in China published between 2000 and 2019, evaluated the potential ecological risk and identified heavy metal sources through positive matrix factorization. Five conclusions were drawn. (1) Regarding the eight collected heavy metals, 6.1–40.4% of 190 lakes exhibited higher concentrations than the Chinese soil background value, and the concentration in 6.2% of lakes exceeded the probable effect concentration. (2) Based on the potential ecological risk index (PERI) and sum of toxic units (STU), Cd and Hg were the major pollutants. (3) The PERI value notably decreased with increasing lake surface area, and small lakes (<10 km2) generally yielded high PERI values. Among the five Chinese geographic zones, the Eastern Plain Lake Zone and Inner Mongolia-Xinjiang Lake Zone exhibited higher potential ecological risk. Compared to natural lakes, urban lakes and reservoirs posed higher ecological risks, while freshwater lakes yielded higher PERI values than saltwater lakes and saline lakes. (4) In all lakes, lake sediment pollutants Cu and Zn mainly originated from traffic sources; Cd originated from agricultural activities; Pb and Hg were related to industrial activities; and Ni, Cr and As indicated mixed sources. (5) In the Eastern Plain Lake Zone, Yunnan-Guizhou Plateau Lake Zone and Northeast Plain and Mountain Lake Zone, industry was the dominant source of heavy metals in lake sediment, while in the Tibetan Plateau Lake Zone and Inner Mongolia-Xinjiang Lake Zone, except for industrial sources, agricultural sources played an important role. Our national-scale integrated analysis provides valuable references for both macroscale policy formulation and polluted lake restoration.

The Properties of Black Locust Robinia pseudoacacia L. to Selectively Accumulate Chemical Elements from Soils of Ecologically Transformed Areas

The black locust Robinia pseudoacacia L. is a common species that originated from North America. In Europe, it is an invasive and introduced plant. Due to its low habitat requirements and ecological plasticity, this species colonizes new anthropogenically transformed areas quickly. This study investigated the chemical composition of selected tissues of Robinia pseudoacacia L. in five various habitats with different levels of anthropopression conditions in southern Poland. The presented research aimed to compare the chemical composition of black locust parts tissues (leaves, branches, and seeds) and the soil under its canopy. To determine the heavy metal contamination and enrichment in soil, the geoaccumulation index, enrichment factor, contamination factor, pollution load index, and potential ecological risk index were calculated. The results showed that all examined soils are considerably or very highly contaminated and the main heavy metals, which pollute the studied samples, are cadmium (1.3–3.91 ppm), lead (78.17–157.99 ppm), and zinc (129.77–543.97 ppm). Conducted research indicates that R. pseudoacacia leaves are the primary carrier of potentially toxic elements. Due to low bioaccumulation factor (BAF) values, it is clear that black locusts do not accumulate contaminants in such amounts that it would pose risk to its use in degraded area reclamation. The obtained results showed that R. pseudoacacia is able to grow in a wide range of habitats and could be applied for greening urban habitats and disturbed ecosystems caused by industry.

An integrated multidisciplinary-based framework for characterizing environmental risks of heavy metals and their effects on antibiotic resistomes in agricultural soils

In this study, a new integrated multidisciplinary-based framework has been proposed to better understand the environmental risks of heavy metals (HMs) in agricultural soils. The source apportionment results revealed by a multilinear engine model were incorporated into the geochemical indexes and the probabilistic health risk assessment models for identifying the source-oriented risks of HMs in the environment. High-throughput sequencing-based metagenomic assembly analysis was used for characterizing the prevalence and dissemination risk of antibiotic resistomes and their associations with the geochemical enrichment of HMs in the soils. Results showed agricultural and industrial activities were the main sources of HMs in the environment. Although the soils were contaminated moderately by HMs and the health risks posed by soil metals were negligible for both adult and children, source-oriented risk evaluation suggested agricultural activities contributed relatively higher contamination and health risks than the other sources. Notably, abundant and diverse antibiotic resistant genes, mobile gene elements, virulence factors, and antibiotic-resistant bacterial pathogens were identified in the agricultural soils, as well as their co-occurrences on the same contigs, implying a non-negligible resistome risk. Further, statistical and network analyses showed the geochemical enrichment of HMs exerted significant effects on the antibiotic resistomes in the environment.

Sequential extraction and risk assessment of pollutants from one major tributary of the Ganga

Abstract The geochemical fractionation of toxic heavy metals Cd, Pb, Cr, Co, Mn, Ni, Cu, Fe and Zn was investigated in 10 different sites of river bed sediments (up, mid and downstream) of Gomti River at Lucknow city. Sequential extraction technique was used to identify the distribution of trace elements binding in different fractions; i.e., exchangeable, carbonate, Fe and Mn oxide, organic matter and residual. Heavy metal concentrations were least at upstream and significantly higher in mid and downstream. Fractionation indicated that dominant metals were bound in residual fraction to the bed sediments except for Cd and Pb, which were bound in an equivalent fraction. Geo-accumulation index factor reveals that the enrichment of heavy metals in the bio-available fraction is contributed anthropogenically. Hierarchical cluster analysis also shows the metal pollution load in the river. Risk assessment code of Cd and Ni showed very high risk (ranged from 54.41 to 85.56 and 20.57 to 44.92 respectively) followed by Pb (high risk), Zn, Co (medium risk), Cr, Mn, Cu, Fe (low risk) in Gomti River water. Further, concentrations of Cd and Pb at mid Lucknow were 31 and 75%, high enough to pose a substantial risk to the environment.

Distribution of heavy metals in sediments, physicochemical and microbial parameters of water from River Subin of Kumasi Metropolis in Ghana

The River Subin, which serves as a source of direct drinking water downstream, flows through the Metropolis of Kumasi in Ghana, making it vulnerable to pollution due to human activities. In this study, we assessed the heavy metals content in the sediment of the Subin River as well as the physicochemical properties and microbial load in the river. Water and sediments were sampled from Race course upstream and downstream, Asafo, and Abinkyi upstream and downstream, Kaase, Asokwa and Wood village with a sampling distance of 100 m. Index of Geoaccumulation (Igeo), contamination factor (CF), contamination degree (CD) and pollution load index (PLI) were used to assess the level of heavy metal enrichment and contamination in the sediments of River Subin. Analysis showed that temperature of the river ranged between 31.23 to 31.40 °C, pH ranged between 6.62 and 7.52, conductivity ranged between 1.16 and 4.67 µS/cm, total hardness ranged from 0.65 to 3.82 mg/L, Ca ranged from 0.26 to 1.22 mg/L, alkalinity ranged from 324 to 711 mg/L, Mg from 0.24 to 3.35 mg/L and Cl ranged from 56.76 to 99. 30 mg/L. The microbial load assessment indicated that the River Subin is highly polluted by E. coli, Faecal Enterococci, Total coliform and faecal coliform, which generally increased as the river flows downstream since more solid waste from domestic and industrial effluents enter the river. Igeo data suggested that the river was highly contaminated by Ag and Cd and moderately polluted by Pb and Co. The CF, CD and PLI, results showed high levels of Ag, Cd, Cr, Cu, Fe, Hg, Co, and Zn, indicating a progressive deterioration of water quality at the various sites. Our results suggest that the River Subin is highly polluted and thus, urgent management strategies are needed to mitigate further deterioration of the river.

Heavy metal recovery from the fine fraction of solid waste incineration bottom ash by wet density separation

This work is aimed at exploring the recovery of heavy metals from the fine fraction of solid waste incineration bottom ash. For this study, wet-discharged bottom ash fine-fraction samples from full-scale treatment plants in Germany and Sweden were analyzed. The potential for the recovery of heavy metal compounds was investigated through wet density-separation with a shaking table. The feed materials were processed without any pre-treatment and the optimum processing conditions were determined by means of design of experiments. Tilt angle and stroke frequency were identified as the most relevant parameters, and the optimum settings were − 7.5° and 266 rpm, respectively. The obtained balanced copper enrichments (and yields) were 4.4 (41%), 6.2 (28%) and 2.4 (23%). A maximum copper enrichment of 14.5 with 2% yield was achieved, providing a concentrate containing 35.9 wt.% relevant heavy metal elements. This included 26.3 wt.% iron, 4.3 wt.% zinc and 3.8 wt.% copper. In conclusion, density separation with shaking tables can recover heavy metals from bottom ash fine fractions. Medium levels of heavy metal enrichment (e.g., for Cu 2.7–4.4) and yield (Cu: 26–41%) can be reached simultaneously. However, the separation performance also depends on the individual bottom ash sample.

Study on the Immobilization Technology of Hydroxyapatite in Heavy Metal Contaminated Sediment

With the rapid development of industry, large amounts of untreated industrial waste water and domestic sewage carried heavy metal pollutants below into the water body with enrichment in sediments. When environmental conditions change, enrichment of heavy metals in sludge may be released into the overlying water causing the overlying water quality standard. The agent on immobilization of heavy metals in sludge is to be an extremely promising remediation technology in order to reduce impact on the environment. This test selects Hydroxyapatite and Nano Hydroxyapatite as curing agent and puts it into heavy metal pollution by different proportion. The paper conducts the research of curing agent and optimizes the better one. The paper selected HAP as matrix and CaO and MgO as different additives and studied complex condition of heavy metals in sediment of curing effect. Also the paper conduct the static releases test for pollutants in cured sediment in order to provide technical support for contaminated sediment remediation of heavy metal.

Differences of bacterial communities in different biological soil crusts around thermal power plant and their influencing factors.

To understand the effects of heavy metal pollution derived from atmospheric dust fall on bacterial community structure under different types of biological soil crusts near mining area, we measured the diversity, community composition, and relative abundance of bacteria communities in three different developmental stages of biological soil crusts (BSCs), including algae (ZB), mixed (HB), and moss (TB) crusts, and control (CK, bare soil) around a typical thermal power plant in Ningdong Energy Industrial Base, using the high-throughput sequencing technique. Environmental factors affecting the bacterial community structure were further investigated. The results showed that there were significant differences in physicochemical properties and heavy metal contents among different BSCs. The BSCs were heavily polluted due to the enrichment of heavy metals from atmospheric dust fall. Among the top ten dominant bacterial phyla, Gemmatimonadetes and Cyanobacteria were significantly distinct among different BSCs. Bacterial α diversity decreased in an order of CK&gt;TB&gt;HB&gt;ZB. The NMDS ordination plots indicated that there were significant differences in the bacteria community composition of the three kinds of BSCs and the CK. The correlation analysis showed that the succession of BSCs significantly affected bacterial community composition in BSCs. Bacterial diversity and composition were closely related to pH, nutrients, and heavy metal contents. The relative abundance of Actinomycetes and Chloroflexi was positively correlated with pH, but negatively correlated with total N, total P, and the contents of heavy metal Pb, Zn, Cd. Results of the redundancy analysis showed that organic carbon, pH, total N, and total P were the major soil factors affecting bacterial α diversity, relative abundance of some dominant phyla, whereas heavy metal contents of Zn, Cd, Pb were the major heavy metals affecting structure of bacterial community which inhibited or stimulated the abundance and diversity of bacterial communities. We concluded that pH, heavy metals, and nutrients were the key factors affecting soil bacteria community composition. The succession of BSCs would improve their physicochemical properties and significantly impacted bacterial community composition. Long term heavy metals enrichment would affect bacterial diversity and community composition of BSCs.