Heavy Metal Content of Suspended Particulate Matter at World’s Largest Ship-Breaking Yard, Alang-Sosiya, India
Autor: | Sandip Kumar Mukhopadhyay, Nisha Anand, Shaik Basha, Kalpana Mody, Premsingh Mansingh Gaur, Shalin Hemantbhai Desai, Bhavnath Jha, R.B. Thorat, Rohitkumar Harikrishna Trivedi |
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Rok vydání: | 2006 |
Předmět: |
Environmental Engineering
Ship breaking Ecological Modeling Air pollution Environmental engineering Particulates medicine.disease_cause Pollution Aerosol Yard Metal visual_art Environmental chemistry medicine visual_art.visual_art_medium Environmental Chemistry Environmental science Spatial variability Enrichment factor Water Science and Technology |
Zdroj: | Water, Air, and Soil Pollution. 178:373-384 |
ISSN: | 1573-2932 0049-6979 |
DOI: | 10.1007/s11270-006-9205-z |
Popis: | This study vividly presents results from a seasonal particulate matter measurement campaign conducted at world’s largest ship-breaking yard i.e., Alang-Sosiya (Gujarat, India) at six locations and a reference station at Gopnath which is 30 km south of this ship-breaking yard. The collected suspended particulate matter (SPM) 24-h samples were critically analyzed for heavy metals (Pb, Cd, Co, Ni, Cr, Mn, Fe, Cu, Zn). The average concentration of SPM within the ship-breaking yard during the investigation was 287.5 ± 20.4 μg m−3 and at reference station it was 111.13 ± 5.81 μg m−3. These values are found to be in excess of the permitted national standards. The levels of heavy metals at Alang-Sosiya are very high as compared to US EPA and WHO guidelines. The mean concentrations of all metals are in the order: Fe >>Zn >Cu > Mn > Cd >Pb > Co >Ni >Cr. The results on enrichment factors (EF) suggest that most of the metals in the ship-breaking yard exhibit EF values of near or above 100 which must have been comprehensively affected by ship-breaking activities. Metal data was used to evaluate the role of spatial factors on their distribution characteristics. Thereafter, factor analysis was carried out to identify the main components liable for the variance of the data set. |
Databáze: | OpenAIRE |
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