scholarly journals Heavy metal distribution in sediments around the offshore tin mining area of Central Bangka Regency, Indonesia

2021 ◽  
Vol 926 (1) ◽  
pp. 012027
Author(s):  
Irvani ◽  
S Adibrata ◽  
M Yusuf ◽  
M Hudatwi ◽  
A Pamungkas
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Active Surface ◽  
Fine Sand ◽  
Mining Area ◽  
Pollution Load Index ◽  
Coarse Sand ◽  
Sieve Analysis ◽  
Marine Animals ◽  
Type Composition

Abstract Vary heavy metals scattered in suspension loads and re-sedimentation from the tailing of the offshore-alluvial tin mining at Tanah Merah and its surroundings, Central Bangka Regency. Research is needed to determine the type, composition, spatial distribution of heavy metals, and potential pollution. The active surface-sediments were taken from shallow marine systematically around the offshore tin mining area in the east season. Geochemical analysis of sediment using x-ray fluorescence, coupled with minerals and sieve analysis, and support by spatial analysis. These sediments have dominant the sand-size (range very-fine sand to coarse sand) and silt, contained predominantly large quantities of quartz minerals and shell fragments of marine animals. The metals are in the following decreasing order: Cr>Zn>Pb>Ni>Cu>As>Co>Cd. The spatial distribution of heavy metals generally has a relatively south, east, and north position, with concentrations occurring along the coastline and showing the degradation composition towards the open sea. The marine sediments are uncontaminated to moderately contaminated by Cd and Pb, indicate both natural and anthropogenic enrichment, low the pollution load index (PLI), and have various potential ecological risks index (RI) (low to very high RI).

scholarly journals Preliminary Study of Heavy Metal (Zn, Pb, Cr, As, Cu, Cd) Contaminations on Different Soil Level from Post-Mining Bauxite Production for Aquaculture

2018 ◽  
Vol 47 ◽  
pp. 02008
Author(s):  
Risandi Dwirama Putra ◽  
Tri Apriadi ◽  
Ani Suryanti ◽  
Henky Irawan ◽  
Tengku Said Raja'I ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Grain Size ◽  
Negative Impact ◽  
Fine Sand ◽  
Mining Area ◽  
Grain Size Analysis ◽  
Size Analysis ◽  
The Mean ◽  
Soil Level

Bauxite production and exploration give negative impact environmental modification and increasing concern pollution of heavy metals. One of an alternative to reduce the negative impact of bauxite post-mining production is by re-utilizing the abandoned bauxite land and necessary exploratory study to obtain the current environmental conditions primarily related to heavy metals in bauxite mining area. Soil and water quality samples from 5 (five) sites based on post-mining activities were used to determine concentration heavy metals of As, Cd, Pb, Zn, Cr, Cu from different soil level. They were also collected for grain size analysis including those of sand and mud percentages along with the mean, and sorting analysis. The mean grain size post-mining bauxite ranged between very fine sand to medium sand and had heterogeneous texture. The coarse grain size percentage increased towards the bottom of the soil. Total heavy metal contents for post-mining bauxite soils are 0,081 ppm, 0,245 to 0,471 ppm and 0,007 ppm for As, Pb and Cd respectively. Heavy metals for Cd, uniformly at every depth from soil level. On the other hand, Pb showed significance pattern, it was indicated every depth from soil level, the concentration of Pb was different.

scholarly journals Heavy Metals Distribution in the Artisanal Gold Mining Area in Wonogiri

2017 ◽  
Vol 49 (2) ◽  
pp. 133 ◽  
Author(s):  
Mohammad - Nurcholis ◽  
Dwi Fitri Yudiantoro ◽  
Darban - Haryanto ◽  
Abdurrachman - Mirzam
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Normal Distribution ◽  
Environmental Quality ◽  
Gold Mining ◽  
Mining Area ◽  
Mining Activity ◽  
X Ray ◽  
Area Survey ◽  
Kolmogorov Smirnov

Artisanal and small gold mining activity in Wonogiri Regency has long been done with problems on environmental quality. This study was aimed to analyze the levels and spatial distribution of heavy metals in the mining area. Survey of  mining and amalgamation sites, sampling the soil and tailings had been conducted. There were 66 samples of soil and tailing were collected, analysis of heavy Fe, Mn, Pb, Hg, As and Co, using X-ray fluorescence (XRF). Normal distribution test of data was conducted using the Kolmogorov-Smirnov and Shapiro Wilk.  The spatial distribution of heavy metals was described using Krigging method. Contents of most heavy metals in the area studied were high, except for Co. According to the distribution pattern of heavy metals indicated that the contamination caused by the mining.

scholarly journals Removal of Heavy Metals from Stormwater Using Porous Concrete Pavement

2020 ◽  
Vol 7 (1) ◽  
pp. 37-44
Author(s):  
Kalimur Rahman ◽  
Saurav Barua ◽  
Md. Shibly Anwar ◽  
Md. Zakir Hasan ◽  
Saiful Islam
Keyword(s):  
Heavy Metals ◽  
Fine Sand ◽  
Coarse Sand ◽  
Concrete Pavement ◽  
Base Layer ◽  
Experimental Investigations ◽  
Rainfall Runoff ◽  
Porous Concrete ◽  
Removal Of Heavy Metals ◽  
Collection Point

This study aimed to investigate the heavy metals, i.e. Cu, Pb, Ni, and Zn removal efficiency from stormwater runoff of a porous concrete pavement (PCP). A model of PCP was designed with the porosity and co-efficient of permeability of the pavement were 27.2% and 1.83 cm/sec, respectively. Artificial stormwater containing heavy metals are passed through the pavement at a constant rainfall rate to mimic the stormwater rainfall-runoff condition. The artificial stormwater infiltrated through the pavement were then collected at two different pavement layers at different time instances. From the experimental investigations, it is observed that Cu, Pb, Ni and Zn concentrations are significantly reduced in the treated stormwater. At the first collection point which is located below the sub-base layer and coarse sand layer of the pavement, the concentrations of Cu, Pb and Zn reduced 56%, 67% and 93% respectively compared to their initial concentration, Ni concentration reduced only 20%. At the second collection point which is located below the coarse and fine sand layers beneath the pavement, the concentrations of Cu, Pb, Zn, and Ni are reduced 92%, 89%, 100%, 100%, respectively.

scholarly journals Geochemical characterization and spatial distribution of heavy metals from urban dust in Chetumal, Mexico

2019 ◽  
Vol 20 (3) ◽  
pp. 1-9
Author(s):  
José Gonzalo Zapata Carbonell ◽  
Francisco Bautista Zúñiga ◽  
Jaime Rendón von Osten ◽  
Luz del Carmen Lagunes Espinoza ◽  
David de Jesús Palma López ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Contamination Factor ◽  
Atomic Absorption Spectrophotometry ◽  
Pollution Load Index ◽  
Decision Makers ◽  
Urban Dust ◽  
Pollution Load ◽  
Guideline Values ◽  
The City

The first diagnose of heavy metal (Cd, Cr, Cu, Fe, Mn, Ni and Pb) concentrations present in Chetumal, Mexico and its spatial distribution was carried out by analyzing 86 samples of urban dust through atomic absorption spectrophotometry. The assessment of the extent of pollution was undertaken by the use of the Mexican Residential Soil Guideline Values, the calculation of the contamination factor and the pollution load index. The results showed concentrations of heavy metals below the Mexican guidelines in the city, except for chromium and lead in a few samples. However, using the contamination factor the concentrations for chromium, lead and copper are exceeded in some samples. The map of pollution load index shows the areas requiring immediate attention from the decision makers.

scholarly journals Accumulation and Potential Ecological Risk of Heavy Metals in the Sediments of Rivers System in Beijing-Tianjin Area

2021 ◽  
Author(s):  
Shengguang Yuan ◽  
wenqiang zhang ◽  
Wenye Li ◽  
Zhenhan Li ◽  
Minshan Wu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Ecological Risk ◽  
Risk Index ◽  
Management Strategies ◽  
Potential Ecological Risk ◽  
Pollution Load Index ◽  
Toxicity Assessment ◽  
Anthropogenic Sources ◽  
Sampling Points

Abstract Human activities cause heavy metals to enter the water body and consequently deposit in sediment with slow flow velocity, however little studies have explored the spatial distribution and ecological risk of heavy metals in sediments. The risk, spatial distribution and toxicity of heavy metals in sediment were investigated along the North Canal in the Beijing-Tianjin area. The study revealed that the mean concentrations of heavy metals in sediments exhibited a descending order of Zn > Cr > As > Cu > Pb > Ni > Co > Cd. The average geoaccumulation index (Igeo) value of Cd was highest and ranged from 0.2 to 2.91. Moreover, the greatest contamination of Cd (the Igeo values > 2) was observed in three sampling sites around the Tianjin City. The pollution load index (PLI) of all sampling points were greater than 1, which indicated the inflow of heavy metals originated from anthropogenic sources. The risk index (RI) values of three sampling points were greater than 300, which demonstreated high potential ecological risk. With regards to the toxicity assessment of combined heavy metals, there were two probable effect concentration (PEC) quotient (Qm-PEC) values greater than 0.5 which suggested potential toxicity to certain sediment-dwelling organisms. Identification of the possible sources and factors contributing to the content and spatial distribution of heavy metals could assist in improvement of the water quality, as well as support efficient management strategies to restoration of the environment.

scholarly journals Modeling 3-D permeability distribution in alluvial fans using facies architecture and geophysical acquisitions

2017 ◽  
Vol 21 (2) ◽  
pp. 721-733 ◽  
Author(s):  
Lin Zhu ◽  
Huili Gong ◽  
Zhenxue Dai ◽  
Gaoxuan Guo ◽  
Pietro Teatini
Keyword(s):  
Spatial Distribution ◽  
Hydraulic Conductivity ◽  
Flow Direction ◽  
Three Dimensional ◽  
Fine Sand ◽  
Coarse Sand ◽  
Alluvial Fan ◽  
Alluvial Fans ◽  
Statistical Parameters ◽  
Depositional Processes

Abstract. Alluvial fans are highly heterogeneous in hydraulic properties due to complex depositional processes, which make it difficult to characterize the spatial distribution of the hydraulic conductivity (K). An original methodology is developed to identify the spatial statistical parameters (mean, variance, correlation range) of the hydraulic conductivity in a three-dimensional (3-D) setting by using geological and geophysical data. More specifically, a large number of inexpensive vertical electric soundings are integrated with a facies model developed from borehole lithologic data to simulate the log10(K) continuous distributions in multiple-zone heterogeneous alluvial megafans. The Chaobai River alluvial fan in the Beijing Plain, China, is used as an example to test the proposed approach. Due to the non-stationary property of the K distribution in the alluvial fan, a multiple-zone parameterization approach is applied to analyze the conductivity statistical properties of different hydrofacies in the various zones. The composite variance in each zone is computed to describe the evolution of the conductivity along the flow direction. Consistently with the scales of the sedimentary transport energy, the results show that conductivity variances of fine sand, medium-coarse sand, and gravel decrease from the upper (zone 1) to the lower (zone 3) portion along the flow direction. In zone 1, sediments were moved by higher-energy flooding, which induces poor sorting and larger conductivity variances. The composite variance confirms this feature with statistically different facies from zone 1 to zone 3. The results of this study provide insights to improve our understanding on conductivity heterogeneity and a method for characterizing the spatial distribution of K in alluvial fans.

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