Petrogenic and Biogenic Inputs of n-alkanes along Shoreline of the Caspian Sea in the Mazandaran Province, North of Iran
The Caspian Sea is the largest lake in the world and is facing an increasing risk of contamination. Sea-based and land-based hydrocarbons inputs are the most critical pollutants of the Caspian Sea. In the present study, n-alkanes and related diagnostic ratios were used to identify the sources of hy...
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Environmental Research Institute, Chulalongkorn University
2022-03-01
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Online Access: | https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/248047 |
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author | Seyed Raheb Hosseini Bizaki Ahmad Reza Rabbani Alireza Riyahi Bakhtiari Mitra Cheraghi Parisa Babaie |
author_facet | Seyed Raheb Hosseini Bizaki Ahmad Reza Rabbani Alireza Riyahi Bakhtiari Mitra Cheraghi Parisa Babaie |
author_sort | Seyed Raheb Hosseini Bizaki |
collection | DOAJ |
description |
The Caspian Sea is the largest lake in the world and is facing an increasing risk of contamination. Sea-based and land-based hydrocarbons inputs are the most critical pollutants of the Caspian Sea. In the present study, n-alkanes and related diagnostic ratios were used to identify the sources of hydrocarbon contaminants in surface sediments along the southern coastal area of the Caspian Sea in Mazandaran province. 27 surface sediment samples were collected from a depth of 5 meters under sea level. Contaminant’s compositions were extracted by Soxhlet apparatus and analyzed by Gas Chromatography-Mass Spectrometry. According to the results, the total concentration of n- alkanes (ΣHC) ranged from 5.2 µg g-1 to 690.7 µg g-1. The S20 (selected station in Noshahr port) had the highest concentration, and most of the stations have levels in a moderate range. Five diagnostic ratios are used to distinguish petrogenic and biogenic contaminants in shorelines of the Mazandaran province. In all stations, Carbon Preference Index (CPI), LMW/HMW, Pr/n-C17, Phy/n-C18, Pr/Phy, and U/R values indicated the petrogenic inputs. However, in some stations biogenic inputs were additionally detected. The petrogenic pollutants were almost from sea-based inputs such as oil spills from Turkmenistan and Azerbaijan. On the other hand, biogenic contaminants were almost from rivers and Hyrcania forests.
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institution | Directory Open Access Journal |
issn | 2287-075X |
language | English |
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series | Applied Environmental Research |
spelling | doaj.art-142188118d5f43c0aeccec9387e132f72024-02-26T10:49:30ZengEnvironmental Research Institute, Chulalongkorn UniversityApplied Environmental Research2287-075X2022-03-0144110.35762/AER.2021.44.1.8Petrogenic and Biogenic Inputs of n-alkanes along Shoreline of the Caspian Sea in the Mazandaran Province, North of IranSeyed Raheb Hosseini Bizaki0Ahmad Reza Rabbani1Alireza Riyahi Bakhtiari2Mitra Cheraghi3Parisa Babaie4Department of Petroleum Engineering, AmirKabir University of Technology, Tehran, IranDepartment of Petroleum Engineering, AmirKabir University of Technology, Tehran, IranDepartment of Environmental Science, Faculty of Natural Recourses and Marine Science, Tarbiat Modares University, Noor, IranDepartment of Nature Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, IranDepartment of Petroleum Engineering, AmirKabir University of Technology, Tehran, Iran The Caspian Sea is the largest lake in the world and is facing an increasing risk of contamination. Sea-based and land-based hydrocarbons inputs are the most critical pollutants of the Caspian Sea. In the present study, n-alkanes and related diagnostic ratios were used to identify the sources of hydrocarbon contaminants in surface sediments along the southern coastal area of the Caspian Sea in Mazandaran province. 27 surface sediment samples were collected from a depth of 5 meters under sea level. Contaminant’s compositions were extracted by Soxhlet apparatus and analyzed by Gas Chromatography-Mass Spectrometry. According to the results, the total concentration of n- alkanes (ΣHC) ranged from 5.2 µg g-1 to 690.7 µg g-1. The S20 (selected station in Noshahr port) had the highest concentration, and most of the stations have levels in a moderate range. Five diagnostic ratios are used to distinguish petrogenic and biogenic contaminants in shorelines of the Mazandaran province. In all stations, Carbon Preference Index (CPI), LMW/HMW, Pr/n-C17, Phy/n-C18, Pr/Phy, and U/R values indicated the petrogenic inputs. However, in some stations biogenic inputs were additionally detected. The petrogenic pollutants were almost from sea-based inputs such as oil spills from Turkmenistan and Azerbaijan. On the other hand, biogenic contaminants were almost from rivers and Hyrcania forests. https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/248047HydrocarbonSurface sedimentPollutionDiagnostic indicesConcentration |
spellingShingle | Seyed Raheb Hosseini Bizaki Ahmad Reza Rabbani Alireza Riyahi Bakhtiari Mitra Cheraghi Parisa Babaie Petrogenic and Biogenic Inputs of n-alkanes along Shoreline of the Caspian Sea in the Mazandaran Province, North of Iran Applied Environmental Research Hydrocarbon Surface sediment Pollution Diagnostic indices Concentration |
title | Petrogenic and Biogenic Inputs of n-alkanes along Shoreline of the Caspian Sea in the Mazandaran Province, North of Iran |
title_full | Petrogenic and Biogenic Inputs of n-alkanes along Shoreline of the Caspian Sea in the Mazandaran Province, North of Iran |
title_fullStr | Petrogenic and Biogenic Inputs of n-alkanes along Shoreline of the Caspian Sea in the Mazandaran Province, North of Iran |
title_full_unstemmed | Petrogenic and Biogenic Inputs of n-alkanes along Shoreline of the Caspian Sea in the Mazandaran Province, North of Iran |
title_short | Petrogenic and Biogenic Inputs of n-alkanes along Shoreline of the Caspian Sea in the Mazandaran Province, North of Iran |
title_sort | petrogenic and biogenic inputs of n alkanes along shoreline of the caspian sea in the mazandaran province north of iran |
topic | Hydrocarbon Surface sediment Pollution Diagnostic indices Concentration |
url | https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/248047 |
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