distribution of heavy metals around the dashkasan au mine

نویسندگان

b. rafiei

m. bakhtiari nejad

m. hashemi

a.s. khodaei

چکیده

the aim of the study is to determine the major source and extent of metal pollution in the vicinity of dashkasan gold mine. dashkasan mine has resulted in extensive contamination of soils by arsenic (as) and potentially toxic ore-related elements including mercury (hg), antimony (sb) and cadmium (cd). soils samples were collected and analyzed for as, cd, hg, pb and sb. the concentration of each heavy metal is controlled by different parameters (soil ph, iron and aluminum oxide content, clay content, organic matter and cation exchange capacity). the maximum content in the soils were 485, 3.2, 100, 2710 and 640 mg/kg for as, cd, hg, pb and sb, respectively. in particular, the extracted concentration of as, cd, hg and sb are in excess of the tolerable levels. positive correlation with organic matter and clay content but not with ph has been observed for most of elements analyzed in this study. enrichment factor (ef) analysis and cluster analysis (ca) highlighted the lithogenic origin of heavy metals. it also revealed the need for detailed geochemical surveys in the future in order to decrease the uncertainty of discrimination between lithogenic and anthropogenic origin of metals of interest.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Environmental impacts of Aghdarband coal mine: pollution by heavy metals

Aghdarband coal mine, located in NE of Iran, with annual coal and waste production capacity of about twenty million and six thousand tons, respectively, causes the increase of the concentration of some heavy metals in the soil and surrounded sediments. This paper deals with geochemical distribution and environmental effects of the heavy metals on the sediments around the mine, using geochemical...

متن کامل

Risk Assessment and Spatial Modeling of Heavy Metals Contamination in Topsoil around Venarj Manganese Mine by Artificial Neural Networks Method

Background and Objectives: The aim of the present study was to assess the probable heavy metals contamination in topsoil surrounding Venarj mine in Qom province using contamination indices and artificial neural networks method. Material and methods:  in order to evaluate the contamination status around Venarj mine in Qom province, 70 soil samples were collected in an area of 22 Km2, and  the to...

متن کامل

Use of artificial intelligence techniques to predict distribution of heavy metals in groundwater of Lakan lead-zinc mine in Iran

Determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. In this paper, the application of artificial intelligence (AI) methods to data analysis,namely artificial neural network (ANN), hybrid ANN with biogeography-based optimization (ANN-BBO), and multi-output adaptive neural fuzzy inference system (MANFIS) to estima...

متن کامل

Geochemical and ecological assessment of some heavy metals in the soil around the lead and zinc mine in northwestern of Iran

Background and Objective: Today, soil and water pollution with heavy metals is one of the major challenges around the world. The aim of this study is to investigate the contamination of soils around a lead and zinc mine. Materials and Methods: In the summer of 2019, 100 soil samples were taken from the mine vicinity and the characteristics of texture, acidity, salinity, calcium carbonate, orga...

متن کامل

Heavy metals from acid mine drainage - impacts and modelling strategies

Mine drainage is increasingly becoming a problem in the UK as water tables rise and acid drainage waters rich in heavy metals impact river systems. The impacts of mine drainage at two sites, the River Pelenna in Wales and the Wheal Jane Mine in Cornwall is assessed. Mathematical models have been developed and applied to investigate heavy metal pollution in the Pelenna case study and the models ...

متن کامل

Distribution pattern of heavy metals in the surficial sediment of Gorgan Bay (South Caspian Sea, Iran)

The Gorgan Bay is an important ecosystem receiving discharge from their tributaries. In this study, concentration of Pb, Zn, Ni, Fe, Al, Cu and As was seasonally determined at 22 sampling points during 2012-2013.Sediment samples were collected using a Van Veen grab. The levels of heavy metals were determined by ICP-AES (Inductively Coupled Plasma Atomic Emission Spectrometry) and AAS (Atomic Ab...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
international journal of environmental research

ناشر: university of tehran

ISSN 1735-6865

دوره 4

شماره 4 2010

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023