Heavy metals (Ni, Cd, Pb, Cu) concentrations in seaweed and sediments along the coastal areas of Hormuzgan province (Bandar Abbas and Bandar Lengeh)

Metals concentrations were studied in dominant seaweeds and their adjacent sediments in Bandar Abbas and Bandar Lengeh tidal areas. The status of selected heavy metals (Ni, Cd, Pb, Cu) was determined in sediments and 15 dominant seaweed species including 4 species of Chlorophyta, 4 species of Phaeophyta and 7 species of Rhodophyta. Samples of seaweed and sediment were collected seasonally during November 2007 to August 2008 from intertidal regions of nine sites along the Bandar Abbas and Bandar Lengeh coasts. Powdered samples of sediments and seaweed were digested and analyzed using Atomic Absorption Spectrophotometer (A.A.S). Concentrations of Cu, Pb, Cd, and Ni were 5.24, 20.44, 5.40 and 33.83µg/g -1 dry wt. in sediments. Concentration of these metals in µg/g -1 dry weight in Chlorophyta were 11.11, 25.79, 4.76 and 46.57, in Phaeophyta were 9.18, 17.68, 4.82 and 36.65, and in Rhadophyta were 9.80, 21.03, 4.96 and 50.43, respectively. The marine seaweed species collected during all seasons and sites in Bandar Abbas and Bandar Lengeh were identified as Entromorpha compressa and Padina pavonica, respectively

Biomass variation in red algae along the tidal areas of Bushehr province

This study was carried out during October 2008 to July 2009 in Bushehr coastal areas at 6 stations to examine biomass variations in red algae. Algal samples were collected by hand from intertidal zone, during low tide. Quadrates 50 ×50cm each were marked randomly in the study area, and all algal samples were collected within the quadrate area. Total biomass was found to be 2598.91g. m belonging to 15 Rhodophyta species. The maximum biomass was 1114.32g. m (43%) observed at the Nirougah station. Summer showed maximum biomass 1076.36g. m (41%) compared to other seasons. Results of this study showed Rhodophyta species are dispersed more in mid littoral and sub-tidal areas. Also, the maximum biomass was observed in the sub-tidal zone. The highest biomass of the species belonged to Gracilaria canaliculata

The use of chlorophylls content of seaweeds ulva intestinalis and Sargassum angustifolium as biomarker of metal pollution

In this research, bioaccumulation ability of seaweed species Ulva intestinalis and Sargassum angustifolium to heavy metals (Ni, Cd, Cu and Pb) and possible use of their chlorophylls content as biomarker of metals stress was studied. Samples of seaweeds and sediment were collected from four stations along the province of Bushehr coastal areas during January 2008 and June 2009. Chlorophylls of seaweeds were extracted using aceton (90%) and content of chlorophylls were determined spectrophotometrically. Metals in sediment and seaweeds were extracted using hot concentrated nitric acid (65%) and analysed by atomic absorption spectrophotometery. The mean concentrations of Ni, Cd, Cu, Pb in sediment were 32.17, 6.38, 6.90, 45.96 µg/g dry weight, in U. intestinalis 29.28, 4.08, 6.78, 32.08 µg/g dry weight, and in S. angustifolium 15.00, 3.78, 5.13 and 18.30 µg/g dry weight, respectively. Pearson correlation coefficients between metals in sediment and seaweeds showed significant correlation between Pb in sediment and U. intestinals and Cd and Pb in sediment and S. angustifolium. The results revealed, variations of Chlorophylls content in S. angustifolium has been shown to be a better indicator of environmental stress compare to U. intestinalis

Comparing modeling of pollution in Arvand River in the dry and wet seasons

Water resources under threat of pollution such as industrial waste, fertilizers, pesticides and urban sewage that negative effects on the environment and ecosystems. Arvand River is one of the most important navigable rivers in Iran، and it’s the most traffic place for floating which don’t have any system for delivery waste materials and discharging these waste materials in water making oil pollution. In this research, modeling pollution in the Arvand River using three-dimensional and hydrodynamic model to simulate how the pollution is studied, the Navier-Stokes equations in three dimensions and equations are solved transfer salinity and water temperature separation method. Boundary conditions applied، including changes in temperature، salinity and flow rate، temperature and salinity changes and apply for open border river and tidal components O1، S2، M2 and K1 open sea in the model used for the border. In this research, modeling pollution in the Arvand River using coherence and hydrodynamic modeling to simulate how the pollution is studied. The results of modeling pollution in Arvand After running the model revealed that the pollution is pollution in the Arvand River according to location and time of release، in other words، in the Arvand River pollution from one point to another and from season to season is different، in fact، pollution is reciprocating mode. Diffusion of oil pollution in Arvand rood is depending to current. In low tide because of same side of river current is more. And in low tide because of same side of river current with low tide pollution reached to the Persian Gulf with high speed. The results shows, represent the effect of tie on diffusion pollution

The study of petrochemical industries sewage effects on the water quality in Khor Musa

Imam Khomeini petrochemical complex is situated at the northwest part of the Persian Gulf where discharged its sewage to the seawater. Samples were collected using Van Dorn sampler, bimonthly from four sites during December 2009 to May 2010. The seawater physicochemical parameters such as DO, pH, BOD, total ammonia, total phosphorous and turbidity were measured and among them, BOD (5.05ppm), total ammonia (2.51ppm) and total phosphorous (0.3ppm) showed higher than standard values. Based on water quality scoring (WQS), all sites showed 2.66 values which classified as bad water quality. During this study, BOD, total ammonia and phosphorous showed significantly (p<0.05) differences during sampling periods

Assessing changes shoreline in Dayyer city using the landsat satellite data, sensor TM and OLI 1991 and 2014 years

Coastal environments are considered the most sensitive system environments. In terms of environmental Coastal areas because of the sensitive and productive ecosystems have high importance and value. Having knowledge of the coastline’s behavior can help of the coastal better management. The aim of this study is to assessing the application of the OIF utility index factor in the assessment of coastline changes in Dayyer city, Using Landsat satellite images sensor TM and OLI 1991 and 2014 and the software are 2013®MATLAB and ArcGis 9.3. For the separation of land and water, OIF index value for all different band combinations in the application MATLAB® 2013 was calculated and then high-pass Sobel filter with 3 × 3 masks was applied to the images. Then digitization process during different periods in application environments ArcGis 9.3 was done manually and with high precision. The results of the survey the coastline from 1991 to 2014 show moving the coastline to the sea side (sedimentation) and landward (erosion), Which totals 33/784 square kilometers sedimentation and 9/132 square kilometers erosion shows from 1991 to 2014, in Dayyer city occurred because of the construction of piers, installations manmade and natural factors

Evaluation of optical depth from MODIS satellite imagery in the Persian Gulf

Atmospheric dust particles originating in the arid and semi-arid regions of the world are known to be principal sources of mineral dust. The use of satellite remote sensing dust, the potential of this technique is created to provide valuable information to assist in the design of network measurement and estimation dust in marine environments. Dust deposited provides key nutrients such as iron to oceanic phytoplankton. Aerosol optical depth were reviewed in the study between March 2008 and December 2013 in the Persian Gulf. Aqua and Terra satellites for the MODIS sensor data as well as aerosol data (PM10) and Environmental stations and optical depth stations AERONET, used to evaluate the aerosol optical depth. The results showed that the data of MODIS AOD has acceptable accuracy and very high correlation between the values measured by MODIS and network AERONET, there (correlation coefficient: 90/0). Comparison between AOD values derived from measurements by satellites Aqua and Terra MODIS sensor and the amount of aerosol (PM10) estimated environmental stations in the Persian Gulf region also took place. The results showed that between these two values correlated to the Aqua and Terra satellites in the study area, and the correlation coefficient was greater in summer than winter. The results of this study showed that the optical depth data from the MODIS satellite images can provide accurate information dusts the Persian Gulf