Distribution, enrichment, and source of heavy metals in stream sediments from Sg. Koyan District, Pahang, Malaysia

被引:0
作者
Heng, Piseth [1 ,2 ]
Ariffin, Kamar S. [1 ]
Zabidi, Hareyani [1 ]
Tagwai, Mathew G. [1 ]
机构
[1] Sch Mat & Mineral Resources Engn, USM Engn Campus, Nibong Tebal 14300, Pulau Pinang, Malaysia
[2] Inst Technol Cambodia, Dept Georesources & Geotech Engn, Phnom Penh, Cambodia
来源
3RD INTERNATIONAL POSTGRADUATE CONFERENCE ON MATERIALS, MINERALS & POLYMER (MAMIP) 2019 | 2020年 / 2267卷
关键词
TRACE-ELEMENTS; MULTIVARIATE-ANALYSIS; CONTAMINATION; RIVER; SOILS; POLLUTION; CLUSTER; URBAN;
D O I
10.1063/5.0023794
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Sg. Koyan district is located in Pahang along N-S Eastern gold belt. It is well known for gold mining activities. Such activities may contribute to heavy metals (HM) contamination that may impact the surrounding environment. While most current studies deal with economic geology research which ignore the impact of HMs contamination. This paper aims to study the distribution, source, and enrichment factor of As, Co, Cr, Cu, Mn, Sn, and Zn using Ti as proxy. Stream Sediments were collected followed by wet sieving, and borate fusion with 15% Nitric Acid for XRF and ICP-OES. These results were transformed into usable data for Cluster Analysis (CA). Principal Component Analysis (PCA), and Enrichment Factor (EF). As the result, it is found that As and Zn having high enrichment factor of 10.2, and 10.4 (significant enrichment 5-20), respectively. From cluster analysis, As, and Zn are grouped together suggesting the source is from human rather than nature. Even though, the highest As concentration is found in Perangih Gold prospect. It is not surprising because As is found associated with gold deposit agreeable with PCA results. In conclusion, As, Co, Cu, Su, and Zn have anthropogenic sources, Mn is from organic matter with Cr has geogenic origin. Possible sources of anthropogenic may include vehicles, workshop, and even agricultural activities.
引用
收藏
页数:8
相关论文
共 35 条
[1]   Compositional data analysis: Where are we and where should we be heading? [J].
Aitchison, J ;
Egozcue, JJ .
MATHEMATICAL GEOLOGY, 2005, 37 (07) :829-850
[2]  
Aitchison J., 1986, The statistical analysis of compositional data
[3]   Multivariate analysis of heavy metals concentrations in river estuary [J].
Alkarkhi, Abbas F. M. ;
Ahmad, Anees ;
Ismail, Norli ;
Easa, Azhar Mat .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2008, 143 (1-3) :179-186
[4]  
Ariffifin K S., 2012, Earth Sciences, P313, DOI DOI 10.5772/26179
[5]   Evaluation of the concentrations of trace elements in stream sediments by factor and cluster analysis and the sequential extraction procedure [J].
Borovec, Z .
SCIENCE OF THE TOTAL ENVIRONMENT, 1996, 177 :237-250
[6]   Mapping of anthropogenic trace elements inputs in agricultural topsoil from Northern France using enrichment factors [J].
Bourennane, Hocine ;
Douay, Francis ;
Sterckeman, Thibault ;
Villanneau, Estelle ;
Ciesielski, Henri ;
King, Dominique ;
Baize, Denis .
GEODERMA, 2010, 157 (3-4) :165-174
[7]  
Chakravarty M., 2009, Journal of Human Ecology, V27, P63
[8]   Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation [J].
Davis, Harley T. ;
Aelion, C. Marjorie ;
McDermott, Suzanne ;
Lawson, Andrew B. .
ENVIRONMENTAL POLLUTION, 2009, 157 (8-9) :2378-2385
[9]   Determining contamination sources in marine sediments using multivariate analysis [J].
DelValls, TA ;
Forja, JM ;
Gonzalez-Mazo, E ;
Gomez-Parra, A ;
Blasco, J .
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 1998, 17 (04) :181-192
[10]   Heavy metals in soils: Distribution, relationship with soil characteristics and radionuclides and multivariate assessment of contamination sources [J].
Dragovic, S. ;
Mihailovic, N. ;
Gajic, B. .
CHEMOSPHERE, 2008, 72 (03) :491-495