scholarly journals Study on the Predictive Algorithm of Plant Restoration under Heavy Metals

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jia Yu ◽  
Rui Yang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Heavy Metal Contamination ◽  
Sufficient Information ◽  
Concentration Data ◽  
Plant Restoration ◽  
Restoration Ability ◽  
Traditional Approaches

Heavy metal pollution of soil is becoming a more serious issue globally. Heavy metal contamination of the soil environment is inevitable as a result of the rapid and extensive growth of industry and agriculture, resulting in unfavorable environmental circumstances for both the flora and fauna. Traditional approaches for collecting field sampling with laboratory testing of soil heavy metals are restricted not only by their time and cost but also by their inability to gather sufficient information about the spatial distribution characteristics of heavy metals in soil over a vast area. The continuous development of the urban industrial processes leads to the degree of heavy metal pollution in urban gardens. For soil monitoring and cleanup, having quick and accurate access to heavy metal concentration data is very crucial and critical. In order to improve the restoration ability of garden heavy metal pollution, a new algorithm to predict plant restoration ability under the garden heavy metal pollution environment is put forward in this study. Firstly, we analyzed the composition of garden heavy metal pollution and the harm of garden heavy metal pollution. Secondly, we identified the restoration technology of garden heavy metal pollution to plants, determine the level of garden heavy metal pollution with the help of the land accumulation index method, and reflect the average pollution water level of garden heavy metal elements with the help of Numero comprehensive pollution heatstroke. On this basis, the plant repairability prediction model was constructed with the help of wavelet function, to predict the plant repairability under garden heavy metal pollution environment and to complete the prediction of plant repairability under garden heavy metal pollution environment. The experimental results show that the proposed method was better than the traditional approaches in terms of prediction accuracy and is also less time-consuming.

Evaluation of Heavy Metal Contamination to Planting Base Soil in Shenyang, China

2013 ◽  
Vol 779-780 ◽  
pp. 1494-1499
Author(s):  
Bin Hui Jiang ◽  
Li Jiang ◽  
Li Li Fu ◽  
Chang Qi Yao ◽  
Yong Gang Huang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Heavy Metal Contamination ◽  
Pollution Index ◽  
Pollution Assessment ◽  
Parent Material ◽  
Pollution Level ◽  
Concentration Data

The distribution and accumulation of heavy metals in the planting base soils in Shenyang, northeast of China, were investigated. Sixty soil samples were collected and characterized for heavy metals contents (AsCdCrPbHgNiCu and Zn). Concentration data were processed using correlation analysis and soils pollution assessment was carried out using geoaccumulation and PI. The results revealed that eight heavy metals contents of planting base all reached pollution level, which Pb and Hg pollution relatively serious, reached 2.41 and 2.1 respectively. The order of heavy metal pollution levels are: Pb> Hg> Zn = Cu> As> Ni> Cd> Cr. A significant correlation exists in Pb-Cd, Pb-Cu, Cd-As, Cu-Ni, while an extremely significant correlation exists between Zn-Cu. In addition to the parent material soil, the sources of soil heavy metals are mainly by the industrial, agricultural, transportation or other human activities and the effect of atmospheric transport and deposition. KEYWORDS: soil, heavy metal pollution, assessment, pollution index

scholarly journals Heavy Metal Pollution and Mobility in Soils within a Landfill Vicinity: A South African Case study

2019 ◽  
Vol 35 (4) ◽  
pp. 1286-1296 ◽  
Author(s):  
Joan Mwihaki Nyika ◽  
Ednah Kwamboka Onyari ◽  
Megersa Olumana Dinka ◽  
Shivani Bhardwaj Mishra
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Heavy Metal Contamination ◽  
Natural Occurrence ◽  
Potential Hazard ◽  
Icp Ms ◽  
Parent Rocks ◽  
High Concentrations

Heavy metal contamination in soils results from anthropogenic and lithologic factors and is a potential hazard to land and water resources. Sources of such pollution include landfills, domestic sewage, agricultural fertilisers and industries. In this work, soils from Roundhill landfill vicinity in South Africa were sampled and analyzed to determine the concentrations of particular heavy metals, namely As, Co, Cr, Cu, Fe, Mn, Ni, Pb, V and Zn. The main objectives of this work were to: quantify the concentration levels of heavy metals in the soil; determine the mobility of the heavy metals in the soil; and establish their origins and interrelationships. The soils were collected at various distances and depths from the landfill facility. The concentrations of heavy metals in the soil samples were analysed by ICP-MS and statistical analysis was carried out to establish their relationships and sources. From the analysis, some elements including Cr, Mn, Cu and Ni had measured concentrations beyond the threshold limits in most sampling sites irrespective of their distance and depth from the landfill vicinity. Conversely, some elements were observed to be immobile and had higher concentrations on the top soils closer to the landfill, such as As, Pb, Zn, Co and V. Iron (Fe) had high concentrations in all the sampling sites due to its natural occurrence in the parent rocks. In conclusion, the potential of soil quality deterioration due to heavy metal pollution in a landfill vicinity was observed. Furthermore, all heavy metals observed showed positive correlation to each other except for As and Co, indicating same origin.

scholarly journals Evaluation of redevelopment priority of abandoned industrial and mining land based on heavy metal pollution

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255509
Author(s):  
Xing Gao ◽  
Junping Tian ◽  
Zheng Huo ◽  
Yanbin Wu ◽  
Chenxi Li
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Metal Contamination ◽  
Agricultural Land ◽  
Heavy Metal Contamination ◽  
Northern China ◽  
Construction Land ◽  
Priority Assessment

Heavy metal contamination in soil is an important factor affecting the determination of safe redevelopment methods for industrial and mining land. In this paper, the soil environment of a typical mining city in northern China was taken as the research object, 148 surface soil samples were collected and the contents of heavy metals were measured. The health risk classification criteria for heavy metal contamination of soils and the method of priority assessment for redevelopment were used. The results showed that: the risk of potential utilization types of heavy metals in the abandoned industrial and mining land is different. When the utilization type is agricultural land, the soil environmental quality is good as a whole, and a small number of plots are polluted by cadmium (Cd)and mercury (Hg); When the land use type is construction land, the risk of heavy metal pollution comes from chromium (Cr); The priority of development in this study area is as follows: agricultural land > construction land > ecological land.

scholarly journals Heavy metal pollution status in surface sediments of the Khajeh Kory River, north Iran

2020 ◽  
Vol 81 (6) ◽  
pp. 1148-1158
Author(s):  
Maryam Zare Khosheghbal ◽  
Marjan Esmaeilzadeh ◽  
Fereydoun Ghazban ◽  
Mohammad Ebrahim Charmsazi
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Metal Contamination ◽  
Surface Sediments ◽  
Heavy Metal Contamination ◽  
Principal Component ◽  
Anthropogenic Sources ◽  
Riverbed Sediments

Abstract This study aimed at exploring the extent of likely sources of heavy metal pollution in sediments of the Khajeh Kory riverbed in the north of Iran. In order to assess the heavy metal contamination, samples from surface sediments in 10 stations covering the river were collected and analysed to determine heavy metal contents including Cd, Cu, Ni, Pb, Zn, Mn, Co, Al, and Fe. Three guidelines were applied to assess the heavy metal contamination. Compared with the global average values, the calculated enrichment factors indicated high values for Fe, Mn, Cd, Co, and Cu, and very high values for Pb and Zn. The results obtained from principal component analysis revealed that the geogenic and anthropogenic sources were the main causes of the widespread enrichment of heavy metals in the riverbed sediments. The results suggested that the riverbed sediments were contaminated with heavy metals, which contribute to the freshwater toxicity in the ecosystem of the Khajeh Kory River.

Distribution Characteristic and Assessment of Soil Heavy Metal Pollution around Baotou Tailings in Inner Mongolia, China

2011 ◽  
Vol 356-360 ◽  
pp. 2730-2736 ◽  
Author(s):  
Ren Xin Zhao ◽  
Wei Guo ◽  
Wen Hui Sun ◽  
Shi Lei Xue ◽  
Bo Gao ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Inner Mongolia ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Pollution Index ◽  
Soil Heavy Metals ◽  
Soil Heavy Metal

The pollution status and total concentration of soil heavy metals were analyzed around Baotou tailing reservoir located in Inner Mongolia grassland and desert transition zone. Aim of the study is to control soil heavy metal pollution of Baotou tailings and provide the basic data information. The results indicated that concentrations of Pb, Zn and Mn from different directions of the tailing reservoir changed significantly with distance and were higher than the background values of Inner Mongolia. According to the single factor pollution index, soils from different directions were contaminated by Pb, Cu, Zn and Mn. The pollution degree was in order: Mn > Pb > Zn > Cu> Cr > Ni > As. According to Nemerow’s synthetical pollution index, soils collected from the southeast of the tailing reservoir had the most serious heavy metal contamination, the index was 11.1. The order of pollution level in different directions was southeast > northeast > southwest > northwest, which was mainly affected by the dominant wind of northwest. In general, the pollution characteristic and the elements of heavy metal contamination were corresponding with the concentrations of iron tailings. The health and stabilization of environmental quality are being threatened by soil heavy metals.

scholarly journals Evaluating ecological risks and tracking potential factors influencing heavy metals in sediments in an urban river

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Dongping Liu ◽  
Jian Wang ◽  
Huibin Yu ◽  
Hongjie Gao ◽  
Weining Xu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Risk Index ◽  
Urban River ◽  
Ecological Risks ◽  
Background Values ◽  
Potential Factors

Abstract Background Heavy metal pollution of aquatic systems is a global issue that has received considerable attention. Canonical correlation analysis (CCA), principal component analysis (PCA), and potential ecological risk index (PERI) have been applied to heavy metal data to trace potential factors, identify regional differences, and evaluate ecological risks. Sediment cores of 200 cm in depth were taken using a drilling platform at 10 sampling sites along the Xihe River, an urban river located in western Shenyang City, China. Then they were divided into 10 layers (20 cm each layer). The concentrations of the As, Cd, Cr, Cu, Hg, Ni, Pb and Zn were measured for each layer. Eight heavy metals, namely Pb, Zn, As, Cd, Cr, Cu, Ni, and Hg, were measured for each layer in this study. Results The average concentrations of the As, Cd, Cu, Hg, and Zn were significantly higher than their background values in soils in the region, and mainly gathered at 0–120 cm in depth in the upstream, 0–60 cm in the midstream, and 0–20 cm downstream. This indicated that these heavy metals were derived from the upstream areas where a large quantity of effluents from the wastewater treatment plants enter the river. Ni, Pb, and Cr were close or slightly higher than their background values. The decreasing order of the average concentration of Cd was upstream > midstream > downstream, so were Cr, Cu, Ni and Zn. The highest concentration of As was midstream, followed by upstream and then downstream, which was different to Cd. The potential factors of heavy metal pollution were Cd, Cu, Hg, Zn, and As, especially Cd and Hg with the high ecological risks. The ecological risk levels of all heavy metals were much higher in the upstream than the midstream and downstream. Conclusions Industrial discharge was the dominant source for eight heavy metals in the surveyed area, and rural domestic sewage has a stronger influence on the Hg pollution than industrial pollutants. These findings indicate that effective management strategies for sewage discharge should be developed to protect the environmental quality of urban rivers.

scholarly journals Assessment of Heavy Metal Pollution Levels in Sediments and of Ecological Risk by Quality Indices, Applying a Case Study: The Lower Danube River, Romania

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1801
Author(s):  
Valentina Andreea Calmuc ◽  
Madalina Calmuc ◽  
Maxim Arseni ◽  
Catalina Maria Topa ◽  
Mihaela Timofti ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Sediments ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Danube River ◽  
Pollution Indices

It is a well–known fact that heavy metal pollution in sediments causes serious problems not only in the Danube basin, but also in the large and small adjacent river streams. A suitable method for assessing the level of heavy metals and their toxicity in sediments is the calculation of pollution indices. The present research aims to assess heavy metal pollution in the Lower Danube surface sediments collected along the Danube course (between 180 and 60 km) up to the point where the Danube River flows into the Danube Delta Biosphere Reserve (a United Nations Educational, Scientific and Cultural Organization – UNESCO, protected area). In addition, this monitored area is one of the largest European hydrographic basins. Five heavy metals (Cd, Ni, Zn, Pb, Cu) were analyzed in two different seasons, i.e., the autumn of 2018 and the spring of 2019, using the Inductively Coupled Plasma Mass Spectrometry (ICP– MS) technique. Our assessment of heavy metal pollution revealed two correlated aspects: 1. a determination of the potential risks of heavy metals in sediments by calculating the Potential Ecological Risk Index (RI), and 2. an evaluation of the influence of anthropogenic activities on the level of heavy metal contamination in the surface sediments, using three specific pollution indices, namely, the Geo–Accumulation Index (Igeo), the Contamination Factor (CF), and the Pollution Load Index (PLI). The results of this pioneering research activity in the region highlighted the presence of moderate metal (Ni and Cd) pollution and a low potential ecological risk for the aquatic environment.

Opportunities for Biotesting of the Water Environment for Heavy Metal Pollution Using a Plant Spirodela polyrhiza (L.) Schleid

2021 ◽  
Vol 25 (5) ◽  
pp. 52-57
Author(s):  
S.I. Alekseeva ◽  
Zh.M. Okhlopkova
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Growth And Development ◽  
Water Environment ◽  
Biological Testing ◽  
Spirodela Polyrhiza ◽  
Model Object ◽  
Chlorophyll A And B

The methods of biotesting of the aquatic environment based on the representative of the duckweed family (lat. Lemnaceae) greater duckweed (Spirodela polyrhiza (L.) Schleid) were considered. A review is presented on the use of greater duckweed as a model object in biological testing, in partic-ular, when exposed to heavy metals salts. When cultivated Spirodela polyrhiza with the addition of heavy metals salts, a change in the growth and development of plants in the experienced line of plants was revealed, as well as a decrease in the content of chlorophyll a and b.

Lightweight aggregates to reduce heavy metal pollution in green infrastructure for urban stormwater management

2021 ◽  
Author(s):  
Concepcion Pla ◽  
Javier Valdes-Abellan ◽  
Miguel Angel Pardo ◽  
Maria Jose Moya-Llamas ◽  
David Benavente
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Green Infrastructure ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Urban Areas ◽  
Stormwater Management ◽  
Lightweight Aggregates ◽  
Urban Stormwater ◽  
Runoff Water

<p>The impervious nature of urban areas is mostly responsible for urban flooding, runoff water pollution and the interception of groundwater recharge. Green infrastructure and sustainable urban drainage systems combine natural and artificial measures to mitigate the abovementioned problems, improving stormwater management and simultaneously increasing the environmental values of urban areas. The actual rate of urban growth in many urban areas requires the enhancement and optimization of stormwater management infrastructures to integrate the territorial development with the natural processes. Regarding the quality of runoff stormwater, heavy metals are critical for their impact on human health and ecological systems, even more if we consider the cumulative effect that they produce on biota. Thus, innovative stormwater management approaches must consider new solutions to deal with heavy metal pollution problems caused by runoff. In this study, we propose the employment of Arlita<sup>®</sup> and Filtralite<sup>®</sup>, two kind of lightweight aggregates obtained from expanded clays, to remove heavy metal concentration from runoff stormwater. Laboratory experiments were developed to evaluate the removal rate of different heavy metals existent in runoff stormwater. The lightweight aggregates acted as filter materials in column experiments to quantify their removal capacity. In addition, batch tests were also developed to evaluate the exhaustive capacity of the materials. Results from the study confirmed the efficiency of the selected lightweight aggregates to reduce the heavy metals concentration by up to 90% in urban stormwater runoff.</p>

scholarly journals Heavy-metal pollution alters dissolved organic matter released by bloom-forming Microcystis aeruginosa

RSC Advances ◽  
2017 ◽  
Vol 7 (30) ◽  
pp. 18421-18427 ◽  
Author(s):  
Haiming Wu ◽  
Li Lin ◽  
Guangzhu Shen ◽  
Ming Li
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Microcystis Aeruginosa ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Aquatic Ecosystems ◽  
Eutrophic Lakes

The risk of heavy metals to aquatic ecosystems was paid much attention in recent years, however, the knowledge on effects of heavy metals on dissolved organic matter (DOM) released byMicrocystiswas quite poor, especially in eutrophic lakes.

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