Contamination and ecological risk assessment of heavy metals pollution from the Shalateen coastal sediments, Red Sea, Egypt
| Autor: | Khaled Al-Kahtany, Abdelbaset S. El-Sorogy, Mahmoud I.I. Mohamaden, Hamdy El Sayed Nour, El Said A. Nouh, Mohamed Abd El-Wahab |
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| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Geologic Sediments 010501 environmental sciences Aquatic Science Oceanography 01 natural sciences Risk Assessment law.invention chemistry.chemical_compound law Metals Heavy Organic matter Indian Ocean 0105 earth and related environmental sciences chemistry.chemical_classification Pollutant Ecology 010604 marine biology & hydrobiology Continental crust Spectrophotometry Atomic Contamination Pollution chemistry Environmental chemistry Carbonate Environmental science Egypt Surface runoff Atomic absorption spectroscopy Oil shale Water Pollutants Chemical Environmental Monitoring |
| Zdroj: | Marine pollution bulletin. 144 |
| ISSN: | 1879-3363 |
| Popis: | To assess the contamination and ecological risk assessment of the Shalateen coastal sediments, Red Sea, Egypt, 35 samples were collected to analyze Cu, Sr, Zn, Cd, Pb, Fe, Co, Ni, Mn, and total organic matter with an atomic absorption spectrophotometer. Several indices were calculated to estimate the contamination levels. The results indicated the following order of metal concentrations: Fe > Sr > Mn > Zn > Ni > Pb > Cu > Co > Cd, and revealed that the investigated sediments are highly enriched and contaminated with Sr, Cd, Pb and Zn. Statistical analyses subdivided the elements into Fe and Mn from natural sources, Sr, Cd, Pb and Zn from anthropogenic sources, and Ni, Cu and Co from combined natural and anthropogenic sources. The average Pb and Cd concentrations are considerably higher compared to the Caspian Sea, Indian Ocean, northern Red Sea, background shale, and continental crust. Possible sources of pollutants are fishing operations, antifouling paints, runoff, desalination plants, industries and dissolution of carbonate sediments. |
| Databáze: | OpenAIRE |
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