Comprehensive evaluation of environmental availability, pollution level and leaching heavy metals behavior in non-ferrous metal tailings

2021 ◽  
Vol 290 ◽  
pp. 112639
Author(s):  
Lei Jiang ◽  
Hongjuan Sun ◽  
Tongjiang Peng ◽  
Wenjin Ding ◽  
Bo Liu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Comprehensive Evaluation ◽  
Ferrous Metal ◽  
Pollution Level ◽  
Environmental Availability

scholarly journals Review of Heavy Metals Pollution in China in Agricultural and Urban Soils

2018 ◽  
Vol 8 (18) ◽  
Author(s):  
Eshetu Shifaw
Keyword(s):  
Heavy Metals ◽  
Soil Contamination ◽  
Health Risks ◽  
Urban Soils ◽  
Land Use Changes ◽  
National Level ◽  
Pollution Index ◽  
Background Level ◽  
Pollution Level ◽  
Soil Toxicity

Background. The concentrations of heavy metals in soil and potential risks to the environment and public health are receiving increased attention in China. Objectives. The objective of this paper is to review and analyze heavy metals soil contamination in urban and agricultural areas and on a national scale in China. Methods. Initially, data on soil heavy metals concentration levels were gathered from previous studies and narratively analyzed. A further statistical analysis was performed using the geo-accumulation index (Igeo), Nemerow integrated pollution index (NIPI), mean, standard deviation (SD), skewness and kurtosis. Pollution levels were calculated and tabulated to illustrate overall spatial variations. In addition, pollution sources, remedial measures and impact of soil contamination as well as limitations are addressed. Results. The concentration level of heavy metals was above the natural background level in most areas of China. The problem was more prevalent in urban soils than agricultural soils. At the national level, the soil in most of the southern provinces and Beijing were heavily polluted. Even though the pollution condition based on Igeo was promising, the Nemerow integrated pollution level was the most worrisome. The soils in about 53% of the provinces were moderately to heavily polluted (NIPI>2). The effects were noticed in terms of both public and ecological health risks. The major sources were waste gas, wastewater, and hazardous residuals from factories and agricultural inputs such as pesticides. Efforts have been made to reduce the concentrations and health risks of heavy metals, including policy interventions, controlling contamination sources, reducing the phytoavailability of heavy metals, selecting and rearing of grain cultivars with low risk of contamination, paddy water and fertilizer management, land use changes, phytoremediation and engineering techniques. Conclusions. China is experiencing rapid economic and technological advancements. This increases the risk of heavy metals contamination of soil. If serious attention is not paid to this problem, soil toxicity and biological accumulation will continue to threaten the sustainability of China's development. Competing Interests. The authors declare no competing financial interests

Patterns of roof runoff contamination and their potential implications on practice and regulation of treatment and local infiltration

1996 ◽  
Vol 33 (6) ◽  
pp. 39-48 ◽  
Author(s):  
Jürgen Förster
Keyword(s):  
Heavy Metals ◽  
Metal Surfaces ◽  
Precipitation Event ◽  
Pollution Level ◽  
Runoff Water ◽  
Roof Runoff ◽  
Negative Exponential Function ◽  
Subsequent Decrease ◽  
First Flush Effect ◽  
Negative Exponential

Roof runoff water was sampled from an experimental roof system and from house roofs in the city of Bayreuth, Germany. Samples were analysed for organic micropollutants, heavy metals and sum parameters. The pollution level and the shape of the runoff profiles are dependent on the individual properties of the precipitation event and the roof, but patterns with high concentrations at the beginning of the event and a subsequent decrease (first flush effect) are very typical. For dissolved substances, the profile can often be well described by a negative exponential function. Metal surfaces on the roofs cause extreme runoff pollution with heavy metals (Cu, Zn) that constitutes an environmental hazard. It is concluded that there is a need for the development of flexible drainage strategies for surface runoff and that metal surfaces should be avoided on roofs.

scholarly journals DISTRIBUTION AND PREDICTION ON HEAVY METALS POLLUTION LEVEL (Pb, Cd, Cu, Zn, and Ni) IN SEDIMENT IN BANGKA ISLAND WATERS USING LOAD POLLUTION INDEX AND GEOACCUMULATION INDEX

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Fasmi Ahmad
Keyword(s):  
Heavy Metals ◽  
Marine Organism ◽  
Geoaccumulation Index ◽  
Sediment Quality ◽  
Pollution Index ◽  
Pollution Load Index ◽  
Pollution Level ◽  
Pollution Load ◽  
Toxic Heavy Metals ◽  
Guideline Values

<p>Bangka Island is rich in natural resources particularly tin minerals. The increasing of tin mining has elevated various wastes such as tailings, oil, and fuel coming from the sand scraper tin boat. These wastes containing toxic heavy metals may harmful to marine organism. Measurement of Pb, Cd, Cu, Zn, and Ni were carried out in September 2010. The purpose of this research was to predict the pollution degree of Pb, Cd, Cu, Zn, and Ni in sediment using two different methods namely geoaccumulation index (I_geo) and pollution load index (PLI). The samples of sediments were collected at 20 stations using Gravity Core. The content of heavy metals in all samples was determined using Atomic Absorption Spectrophotometer with a mixture of air and acetylene flame. The results showed that there was a different of prediction on sediment pollution level between Load Pollution Index with Geoaccumulation Index. According to Load Pollution Index, sediments in this waters were not polluted by Pb, Cd, Cu, Zn, and Ni (PLI&lt;1). Based on Geoaccumulation Index, sediment were also not polluted by Pb, Cu, Zn, and Ni (Igeo&lt;0). While for Cd, sediments divided into three categories, namely not polluted (Igeo&lt;0), light polluted (0&lt;Igeo&lt;1), and medium pollued (1&lt;Igeo&lt;2).  The concentration of the heavy metals still lower than that sediment quality guideline values.</p> <p>Keywords: Bangka Island, heavy metals, geoaccumulation index, pollution load index.</p>

scholarly journals Influence of Bottom Sediments Physicochemical Characteristics on Distribution of Microelements in the Crimean Shelf Water Areas

2020 ◽  
Author(s):  
E. A. Kotelyanets ◽  
K. I. Gurov ◽  
◽  
Keyword(s):  
Heavy Metals ◽  
Trace Elements ◽  
Spatial Distribution ◽  
Organic Carbon ◽  
Bottom Sediments ◽  
Clay Fraction ◽  
Zinc Content ◽  
Physicochemical Characteristics ◽  
Water Area ◽  
Pollution Level

The paper presents the results of studies of the Kalamitsky Bay bottom sediments pollution level with microelements and heavy metals (Pb, Zn, Cu, Ni, Co, Cr, V, As, Sr, Ti, Fe, Mn) in comparison with the content of these microelements and heavy metals in the Balaklava Bay sediments. The paper analyzes data obtained during expeditions on the R/V Professor Vodyanitsky in the Kalamitsky Gulf in August 2011 (seaward part) and on the R/V Rioni in September 2012 (coastal area) as well as in the Balaklava Bay in October 2018. Content of microelements and heavy metals in bottom sediments of the studied water areas was determined by the X-ray fluorescence method using Spectroscan MAX-G device. For the water area of the Kalamitsky Gulf, the features of the studied trace element spatial distribution are considered, groups of trace elements with different spatial distribution patterns are identified. The correlation analysis determined influence of physicochemical characteristics of the sediments on distribution and accumulation of trace elements. In the water area of the Kalamitsky Gulf, a statistically significant correlation was observed of nickel, iron and zinc content with the clay fraction; dependance of increased concentrations of zinc, nickel and chrome on the content of organic carbon and predominance of lead in highcarbonate sediments. For the Balaklava Bay, the maximum positive values of correlations with the pelitic-silty fraction were noted for iron, manganese, vanadium and chrome; organic carbon correlates with chrome, iron, nickel and copper, whereas carbonates correlate with strontium. Similar patterns were observed earlier in the Sevastopol region bays, Feodosiya Gulf and Kerch Strait.

scholarly journals Kandungan Logam Berat Besi (Fe) Pada Air, Sedimen, Dan Kerang Hijau (Perna viridis) Di Perairan Tanjung Emas Semarang

2015 ◽  
Vol 18 (1) ◽  
Author(s):  
Endang Supriyantini ◽  
Hadi Endrawati
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Flow Velocity ◽  
Atomic Absorption ◽  
Key Words ◽  
Atomic Absorption Spectrophotometry ◽  
Pollution Level ◽  
Perna Viridis ◽  
Absorption Spectrophotometry ◽  
Living Organisms

Logam berat Fe merupakan logam berat essensial yang keberadaannya dalam jumlah tertentu sangat dibutuhkan oleh organisme hidup, namun dalam jumlah yang berlebih dapat menimbulkan efek racun.Penelitian ini bertujuan untuk menganalisis kandungan dan tingkat pencemaran logam berat Fe pada air, sedimen, dan kerang hijau (Perna viridis) di perairan Tanjung Emas Semarang. Penelitian ini dilaksanakan pada tanggal 7 November dan 7 Desember 2013 dengan metode penelitian deskriptif. Logam berat Fe dalam sampel air, sedimen dan kerang hijau dianalisis di Laboratorium Balai Besar Teknologi Pencegahan Pencemaran Industri (BTPPI) Semarang dengan menggunakan metode AAS (AtomicAbsorption Spectrophotometry). Hasil penelitian menunjukkan bahwa perairan Tanjung Emas masih dalam taraf terkontaminasi logam Fe. Sedangkan pada sedimen dan pada kerang hijau (Perna viridis) sudah terindikasi tercemar logam Fe.Meskipun demikian variasi faktor lingkungan seperti suhu, salinitas, pH, kecepatan arus dan jenis sedimen juga memberikan kontribusi yang cukup penting terhadap kandungan logam Fe.Kata Kunci: logam Fe, Air, Sedimen, Perna viridis, metode AAS Heavy metalsiron(Fe) is anessentialheavy metalswhose presencein a certain amountis neededby living organisms, but inexcessiveamountscan causetoxic effects.The aims of the research is to analyze the heavy metals coccentration and the pollution level of Fe in water, sediment, and green mussels (Perna viridis) at Tanjung Emas Semarang. This research was conducted from 7 November and 7 December 2013 using the Atomic Absorption Spectrophotometry (AAS) and research methodswithdescriptive. The results showed that the waters of the Tanjung Emas is still in the stage of heavy metals contaminated iron (Fe). Sediment and green mussels (Perna viridis)already indicated heavy metal contaminatediron. However, variations inenvironmental factorssuch astemperature, salinity, pH, flow velocity an dsediment types also providean important contributionto heavy metal contentof iron(Fe).Key Words: Fe, water, sediment, Perna viridis, metode AAS

scholarly journals Heavy Metals in Sediments of Urban Streams: Contamination and Health Risk Assessment of Influencing Factors

2019 ◽  
Vol 11 (3) ◽  
pp. 563 ◽  
Author(s):  
Ewa Wojciechowska ◽  
Nicole Nawrot ◽  
Jolanta Walkusz-Miotk ◽  
Karolina Matej-Łukowicz ◽  
Ksenia Pazdro
Keyword(s):  
Heavy Metals ◽  
Health Risk ◽  
Hazard Quotient ◽  
Contamination Factor ◽  
Urban Streams ◽  
Risk Level ◽  
Pollution Level ◽  
Large Area ◽  
Copper Sheet ◽  
Exposure Pathway

Sediments of two urban streams in northern Poland outflowing to the Baltic Sea were assessed to explain the spatial variation in relation to urbanization level of the catchment, the role of retention tanks (RTs) and identification of pollution level. During the 3 month period of investigation sediment samples were collected from the inflow (IN) and outflow (OUT) of six RTs located on streams for flood protection. Six heavy metals (HMs) were investigated: Cu, Pb, Zn, Cd, Ni, Cr. The assessment of four geochemical enrichment indices used to quantify contamination of HMs in the sediments at IN and OUT samples was carried out. Contamination factor (CF), pollution load index (PLI), geoaccumulation index (Igeo) and potential ecological risk (RI) were calculated and the indices usefulness was assessed. Also, the hazard quotient (HQ) was calculated to assess health risk associated with dredging works. In sediments from RTs where paved surfaces constituted more than 70% of the catchment the HMs concentrations were from one to three times higher for Ni and from two to 143 times higher for Cu in comparison to soft catchment results. The extremely high Cu concentration (1114 mg/kg d.w.) found in sediments at RT Orłowska IN was most likely associated with large area of roofs covered with copper sheet. Calculation of CF, PLI, Igeo, RI, HQ indicators allows for a complex and multi-dimensional assessment of sediment status. Among these, CF and PLI classified the analyzed sediments as most polluted. Basing on the sedimentary HMs concentrations the health risk level via dermal exposure pathway was assessed as low.

scholarly journals Release Behaviors of Arsenic and Heavy Metals from Arsenic Sulfide Sludge during Simulated Storage

Minerals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 130 ◽  
Author(s):  
Liwei Yao ◽  
Xiaobo Min ◽  
Yong Ke ◽  
Yunyan Wang ◽  
Yanjie Liang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Preventive Measures ◽  
Oxidation Process ◽  
Ferrous Metal ◽  
Environmental Risks ◽  
Arsenic Sulfide ◽  
Drying Process ◽  
Secondary Pollution ◽  
Release Ratio ◽  
Natural Drying

Non-ferrous metal smelting enterprises produce hundreds of thousands of tons of arsenic sulfide sludge (ASS) each year in China. Most of the ASS are stored at the companies without enough preventive measures. During the storage and natural drying process, arsenic sulfide is easily oxidized, thereby causing secondary pollution and increasing environmental risks. In this paper, experiments of simulated storage were used to study the release characteristics of heavy metals. During the simulated storage, the release concentrations of As, Pb, and Cd increased rapidly at first and then slowly. Although the total amount of arsenic released was the largest, the release ratio was in the order of Cd > Pb > As. The effects of different atmospheres and conditions on the release of arsenic and heavy metals were explored. The more the H2SO4 in the sludge, the higher the release concentration, and the addition of an appropriate amount of Ca(OH)2 is beneficial for reducing the release of heavy metals. Finally, SEM, XRD and TG-DTG techniques were carried out to confirm that the release of heavy metals was caused by the oxidation process resulting from the residual H2SO4 in the ASS and the air.

scholarly journals Seasonal Levels, Sources, and Health Risks of Heavy Metals in Atmospheric PM2.5 from Four Functional Areas of Nanjing City, Eastern China

Atmosphere ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 419 ◽  
Author(s):  
Lichun Wu ◽  
Xiao-San Luo ◽  
Hongbo Li ◽  
Long Cang ◽  
Jie Yang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Health Risks ◽  
Metal Pollution ◽  
Industrial Area ◽  
Pollution Level ◽  
Suburban Areas ◽  
Nanjing City ◽  
Functional Areas ◽  
Atmospheric Pm2.5

Aerosol pollution is a serious environmental issue, especially in China where there has been rapid urbanization. To identify the intra-annual and regional distributions of health risks and potential sources of heavy metals in atmospheric particles with an aerodynamic diameter less than or equal to 2.5 μm (PM2.5), this work collected monthly PM2.5 samples from urban, industrial, suburban, and rural areas in Nanjing city during 2016 and analyzed the heavy metal compositions (Cu, Pb, Cd, Co, V, Sr, Mn, Ti, and Sb). Enrichment factors (EFs) and principal component analysis (PCA) were applied to investigate the sources. The atmospheric PM2.5 pollution level was highest in the industrial area, followed by the urban and suburban areas, and was the lowest in the rural area. Seasonally, the concentrations of PM2.5 and associated heavy metals in spring and winter were higher than those in summer and autumn. Besides natural sources, heavy metal pollution in PM2.5 might come from metallurgical dust in the industrial area, while it mainly comes from automobile exhaust in urban and suburban areas. Health risk assessments revealed that noncancerous hazards of heavy metals in PM2.5 were low, while the lifetime cancer risks obviously exceeded the threshold. The airborne metal pollution in various functional areas of the city impacted human health differently.

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