@article{ author = {YazdanPanah, Danial and Safahieh, Alireza and SalariAliabadi, Alireza and Kamal, Ghanemi}, title = {Comparison of Heavy Metals (Zn, Cu, Ni, Pb and Cd) Concentration in the Intertidal Sediments of the Kharg Island during Summer and Winter}, abstract ={This study was carried out to determine contamination of heavy metals including zinc, copper, nickel, lead, and cadmium in the surface sediments of Kharg Island, Persian Gulf. Sediment samples were taken from five different stations during September 2013 and March 2014. The samples were transferred to the laboratory and acid digested with a mixture of nitric and perchloric acids and were analyzed by atomic absorption spectrophotometer (GBC Savantaa Σ models made in Australia). The results showed that the concentration of zinc, copper, nickel, lead and cadmium in the surface sediments of Kharg Island in the summer was 72.5±3.6, 28.8±2.9, 38.1±1.7 and 28.8± 2.1 µg/g. dry weight respectively. The concentration of heavy metals in the sediments shifted to 65.7±4.3, 36.3±2.7, 47.1±3.6 and 34.8±2.7 µg/g for zinc, copper, nickel, lead and cadmium respectively during winter. While, cadmium concentration was not detected in both seasons, copper, nickel and lead concentrations in the winter were higher than the values measured in the summer. The comparison of the amount of each heavy metal in the coastal sediments from Kharg Island with the values proposed by sediment quality standards revealed that heavy metals contamination was not of a serious environmental concern since the level of heavy metals in Kharg Island sediments felt within an acceptable range.}, Keywords = {Pollution, Heavy metals, Kharg Island, Persian Gulf.}, volume = {8}, Number = {30}, pages = {1-9}, publisher = {Iranian National Institute for Oceanography and Atmospheric Science}, doi = {10.29252/joc.8.30.1}, url = {http://joc.inio.ac.ir/article-1-1151-en.html}, eprint = {http://joc.inio.ac.ir/article-1-1151-en.pdf}, journal = {Journal of Oceanography}, issn = {1562-1057}, eissn = {2476-6755}, year = {2017} } @article{ author = {Ghaemi, Maryam and Gholamipour, Sar}, title = {Seasonal Measurement of Nutrient Concentrations and Total Alkalinity in the Mond Estuary Ecosystem}, abstract ={The aim of this study was to evaluate and compare nutrient concentrations and total alkalinity in summer and winter and along the marine, estuarine and riverine portions of the mond estuary ecosystem in the Persian Gulf. Sampling was conducted in warm and cold seasons. The concentrations of nutrients were measured by MOOPAM standard method and total alkalinity was measured by potentiometric titration method. The results showed that there was not significant difference in measured alkalinity along the marine, estuarine and riverine stations between summer and winter. The results showed that the average concentration of nitrate and nitrite in estuarine stations were more than marine and riverine stations. Also, seasonal variations and increased rainfall caused higher average concentration of nitrate and nitrite in winter and lower average concentration of phosphate and silicate.}, Keywords = {Nutrients, Total alkalinity, Mond estuary, Persian Gulf.}, volume = {8}, Number = {30}, pages = {11-18}, publisher = {Iranian National Institute for Oceanography and Atmospheric Science}, doi = {10.29252/joc.8.30.11}, url = {http://joc.inio.ac.ir/article-1-1153-en.html}, eprint = {http://joc.inio.ac.ir/article-1-1153-en.pdf}, journal = {Journal of Oceanography}, issn = {1562-1057}, eissn = {2476-6755}, year = {2017} } @article{ author = {Ebadi, Zeinab and Doustshenas, Babak and Sakhaei, Nasrin and Ghanemi, Kamal}, title = {Study of Distribution and Morphology of Leucosiidae and Xanthidae Crabs in the Subtidal Waters of the Khuzestan Province (Persian Gulf)}, abstract ={The aim of this study was to identify the biodiversity and morphology of the Xanthidae and Leucosiidae crabs in the subtidal waters of the Persian Gulf in Khuzestan Province. The specimens were collected from 7 stations during 2014-2015 by four times sampling using bottom trawl. In the laboratory, the morphological traits of samples were investigated and their carapace length and width were measured. Then, the samples were studied to identify the species using valid identification keys. In this study, 7 species of crab were identified that four species of them belonged to the family Leucosiidae (Myra pernix, Hiplyra sagitta, Lyphira perplexa, Arcania erinacea) and 3 species belonged to the family Xanthidae (Gaillardiellus rueppelli, Liagore erythematica, Atergatis integerrimus). This study showed that the Persian Gulf waters in the vicinity of Khuzestan Province provide a suitable habitat for the mentioned crabs.}, Keywords = {Brachyuran Crab, Xanthidae, Leucosiidae, Khuzestan Province, Persian Gulf.}, volume = {8}, Number = {30}, pages = {19-28}, publisher = {Iranian National Institute for Oceanography and Atmospheric Science}, doi = {10.29252/joc.8.30.19}, url = {http://joc.inio.ac.ir/article-1-1154-en.html}, eprint = {http://joc.inio.ac.ir/article-1-1154-en.pdf}, journal = {Journal of Oceanography}, issn = {1562-1057}, eissn = {2476-6755}, year = {2017} } @article{ author = {Sayareh, Jafar and Alahyari, Elham}, title = {Identifying and Prioritising Factors Influencing the Creation of Dry Ports in Iran by AHP Technique}, abstract ={The objective of this research is to identify and prioritise effective factors in creating dry ports in Iran. Today, containeraisation has been the cause of many serious issues and challenges at seaports. To confront these challenges, the concept of dry port has been introduced which requires further contemplation for its development and creation to maintain and increase the usage of containerisation. The research has been carried out by applying a descriptive survey method and used the AHP technique to analyze and assess the findings. Questionnaires were used as the main instrument for data collection and  measurement of variables in this research. The results showed that with the prioritisation of the criteria, paired comparisons and the calculation of the relative weight of each criterion, the most important factors can easily be selected and implemented.}, Keywords = {Dry Port, Intermodal transport, Analytic Hierarchy Process (AHP), Transit}, volume = {8}, Number = {30}, pages = {29-36}, publisher = {Iranian National Institute for Oceanography and Atmospheric Science}, doi = {10.29252/joc.8.30.29}, url = {http://joc.inio.ac.ir/article-1-1155-en.html}, eprint = {http://joc.inio.ac.ir/article-1-1155-en.pdf}, journal = {Journal of Oceanography}, issn = {1562-1057}, eissn = {2476-6755}, year = {2017} } @article{ author = {Rezaei, Mehri and Mehdinia, Ali and Saleh, Abolfazl and Modabberi, Soroush}, title = {Comparison of the Ecological Risk Index of Heavy Metals in the North of Persian Gulf: Hormozgan and Bushehr Provinces}, abstract ={The importance of the Persian Gulf and its role in economy and dynamic of the region and the development of industrial activities, refineries and residential activities in its surrounding area highlights environmental monitoring of this zone as a fundamental concern for researcher and policy makers. For this purpose, in 2012-2013, surface sediment of 58 stations in the Persian Gulf were sampled as transect from coastal line to offshore. All samples were transferred to the laboratory according to the standard procedure for heavy metal analysis. Total concentration of Cu, As, Cr, Cd, Pb, Zn, Ni, and Hg were measured by acid digestion and analyzed by ICP-MS. The grain size analyzed by Scatter analyzer and Carbonate measured using Lol Method. The results showed that general texture of the sediment was Silt-Loam and Carbonate content varied 8.5-53.72. According to the single Ecological Risk (ER), Cd, Hg, As and Ni had moderate risk. Average of ecological risk index (RI) pointed 335 which showed high risk in the studied region. Although, this index was higher in the Hormozgan province. Both provinces of Bushehr and Hormozgan were classified in the high risk class. General framework of the generated map for RI showed that RI indices decreased with increasing the distance from coastal line. This result indicated the obvious role of discharging environmental pollutant from terrestrial pollution source to the Persian Gulf.}, Keywords = {Ecological risk, Heavy metals, Bushehr province, Hormozgan province, Persian Gulf}, volume = {8}, Number = {30}, pages = {37-45}, publisher = {Iranian National Institute for Oceanography and Atmospheric Science}, doi = {10.29252/joc.8.30.37}, url = {http://joc.inio.ac.ir/article-1-1156-en.html}, eprint = {http://joc.inio.ac.ir/article-1-1156-en.pdf}, journal = {Journal of Oceanography}, issn = {1562-1057}, eissn = {2476-6755}, year = {2017} } @article{ author = {Fallah, Mohammad Amir}, title = {Obtaining Submarine Heading Using Magnetic Wake in Shallow Waters}, abstract ={In this paper, we proposed a new detection method to discover ships and submarines in shallow waters, using an airborne magnetic sensor. Detection scenario is based on vessel travelling at sea which causes geomagnetic anomalies in sea water. Derived analytical formulations showed the relation of geomagnetic anomaly with physical properties of vessel and environmental parameters, and then frequency analysis was performed and revealed that frequency contents of geomagnetic anomaly differed from noise frequency spectrum. In next step, geomagnetic anomaly due to submarine traveling in shallow water was simulated. The simulation results showed that the proposed method was noise robust. Finally, submarine heading was estimated using spectral analysis of geomagnetic anomaly. It was illustrated that the estimation error of vessel heading strongly depended on airborne sensor trajectory drift from submarine traveling direction }, Keywords = {Wake, Submarine heading, Magnetometer, Airborne, Shallow water}, volume = {8}, Number = {30}, pages = {47-52}, publisher = {Iranian National Institute for Oceanography and Atmospheric Science}, doi = {10.29252/joc.8.30.47}, url = {http://joc.inio.ac.ir/article-1-1157-en.html}, eprint = {http://joc.inio.ac.ir/article-1-1157-en.pdf}, journal = {Journal of Oceanography}, issn = {1562-1057}, eissn = {2476-6755}, year = {2017} } @article{ author = {Pourjomeh, Fatemeh and Shokri, Mohammadreza and Rezai, Hamid and RajabiMaham, Hassan and Maghsoudlou, Elham}, title = {Relationships Between Environmental Physicochemical Factors, Zooplankton and Jellyfish Blooms in Chabahar and Pozm Bays (Makran (Oman) Sea)}, abstract ={Species identification is the first step in prediction and management of jellyfish blooms. The present paper describes the jellyfishes in the northern part of the Makran (Oman) Sea. Processes underlying the variations observed in jellyfish diversity in the Gulf of Oman were also investigated. Samples of jellyfishes and other zooplanktons were collected from 9 stations within four seasons including Nov. 2014,March 2015, May 2015, and Sep. 2015. In each station, environmental variables were also recorded from bottom and surface water. A total of 83 individuals of medusae representing by four species belonging to Scyphozoa (i.e., Cyanea nozakii, Chrysaora sp., Pelagia noctiluca, Catostylus sp.) and three species belonging to Hydrozoa (i.e, Diphyes sp., Rhacostoma sp., Aequorea spp.) were collected in the study area. The result of manual forward selection test analysis yielded no significant association between species composition of jellyfish and other zooplanktons. Among environmental variables, water transparency, depth and temperature were best explained the total variation in jellyfish species composition. None of the variables were so significant to cause jellyfish mass occurrence. }, Keywords = {Zooplankton, Scyphozoa, Hydrozoa, Jellyfish bloom, Pozm Bay, Chabahar Bay, Makran (Oman) Sea. }, volume = {8}, Number = {30}, pages = {53-61}, publisher = {Iranian National Institute for Oceanography and Atmospheric Science}, doi = {10.29252/joc.8.30.53}, url = {http://joc.inio.ac.ir/article-1-1158-en.html}, eprint = {http://joc.inio.ac.ir/article-1-1158-en.pdf}, journal = {Journal of Oceanography}, issn = {1562-1057}, eissn = {2476-6755}, year = {2017} }