Multivariate analysis for source identification of pollution in sediment of Linggi River, Malaysia

被引:0
|
作者
Md Suhaimi Elias
Shariff Ibrahim
Kamarudin Samuding
Shamsiah Ab Rahman
Yii Mei Wo
Jeremy Andy Dominic Daung
机构
[1] Universiti Teknologi MARA (UiTM),School of Chemistry and Environment, Faculty of Applied Sciences
[2] Malaysian Nuclear Agency,Analytical Chemistry Application Group (ACA), Waste and Environmental Technology Division
[3] Malaysian Nuclear Agency,Environmental Tracer Application Group (E
[4] Malaysian Nuclear Agency,TAG), Waste and Environmental Technology Division
来源
关键词
Linggi River; Geoaccumulation index; Freshwater sediment quality guidelines; Principle component analysis; Cluster analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Rapid socioeconomic development in the Linggi River Basin has contributed to the significant increase of pollution discharge into the Linggi River and its adjacent coastal areas. The toxic element contents and distributions in the sediment samples collected along the Linggi River were determined using neutron activation analysis (NAA) and inductively coupled plasma-mass spectrometry (ICP-MS) techniques. The measured mean concentration of As, Cd, Pb, Sb, U, Th and Zn is relatively higher compared to the continental crust value of the respective element. Most of the elements (As, Cr, Fe, Pb, Sb and Zn) exceeded the freshwater sediment quality guideline-threshold effect concentration (FSQG-TEC) value. Downstream stations of the Linggi River showed that As concentrations in sediment exceeded the freshwater sediment quality guideline-probable effect concentration (FSQG-PEC) value. This indicates that the concentration of As will give an adverse effect to the growth of sediment-dwelling organisms. Generally, the Linggi River sediment can be categorised as unpolluted to strongly polluted and unpolluted to strongly to extremely polluted. The correlation matrix of metal-metal relationship, principle component analysis (PCA) and cluster analysis (CA) indicates that the pollution sources of Cu, Ni, Zn, Cd and Pb in sediments of the Linggi River originated from the industry of electronics and electroplating. Elements of As, Cr, Sb and Fe mainly originated from motor-vehicle workshops and metal work, whilst U and Th originated from natural processes such as terrestrial runoff and land erosion.
引用
收藏
相关论文
共 50 条
  • [1] Multivariate analysis for source identification of pollution in sediment of Linggi River, Malaysia
    Elias, Md Suhaimi
    Ibrahim, Shariff
    Samuding, Kamarudin
    Ab Rahman, Shamsiah
    Wo, Yii Mei
    Daung, Jeremy Andy Dominic
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (04)
  • [2] Rare earth elements (REEs) as pollution indicator in sediment of Linggi River, Malaysia
    Elias, Md Suhaimi
    Ibrahim, Shariff
    Samuding, Kamarudin
    Kantasamy, Nesamalar
    Ab Rahman, Shamsiah
    Hashim, Azian
    APPLIED RADIATION AND ISOTOPES, 2019, 151 : 116 - 123
  • [3] DISTRIBUTION OF METALS IN THE LINGGI RIVER BASIN, MALAYSIA, WITH REFERENCE TO POLLUTION
    KHAN, ISAN
    LIM, RP
    AUSTRALIAN JOURNAL OF MARINE AND FRESHWATER RESEARCH, 1991, 42 (04): : 435 - 449
  • [4] The sources and ecological risk assessment of elemental pollution in sediment of Linggi estuary, Malaysia
    Elias, Md Suhaimi
    Ibrahim, Shariff
    Samuding, Kamarudin
    Ab Rahman, Shamsiah
    Hashim, Azian
    MARINE POLLUTION BULLETIN, 2018, 137 : 646 - 655
  • [5] SPATIAL CHARACTERIZATION AND IDENTIFICATION SOURCES OF POLLUTION USING MULTIVARIATE ANALYSIS AT TERENGGANU RIVER BASIN, MALAYSIA
    Kamaruddin, Ahmad Firdaus
    Toriman, Mohd Ekhwan
    Juahir, Hafizan
    Zain, Sharifuddin Md
    Rahman, Mohd Nordin Abdul
    Kamarudin, Mohd Khairul Amri
    Azid, Azman
    JURNAL TEKNOLOGI, 2015, 77 (01):
  • [6] Biological Assessment of Water Pollution Using Periphyton Productivity and Standing Crop in the Linggi River, Malaysia
    Khan, Ibrahim Nather
    Firuza, Begham M.
    INTERNATIONAL REVIEW OF HYDROBIOLOGY, 2012, 97 (02) : 124 - 156
  • [7] Evaluation of water pollution and source identification in Merbok River Kedah, Northwest Malaysia
    Ateshan, Haidr Msahir
    Misnan, Rosmilah
    Sinang, Som Cit
    Koki, Ise Baba
    MALAYSIAN JOURNAL OF FUNDAMENTAL AND APPLIED SCIENCES, 2020, 16 (04): : 458 - 463
  • [8] A Multivariate Statistical Approach to Pollution Source Identification in Cauvery River, South India
    P. Mageshkumar
    G. Vennila
    K. Angu Senthil
    Journal of Water Chemistry and Technology, 2022, 44 : 62 - 71
  • [9] A Multivariate Statistical Approach to Pollution Source Identification in Cauvery River, South India
    Mageshkumar, P.
    Vennila, G.
    Senthil, K. Angu
    JOURNAL OF WATER CHEMISTRY AND TECHNOLOGY, 2022, 44 (01) : 62 - 71
  • [10] Source identification of groundwater pollution with the aid of multivariate statistical analysis
    Wu, TN
    Huang, YC
    Lee, MS
    Kao, CM
    Water Economics, Statistics and Finance, 2005, 5 (06): : 281 - 288