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The Mangrove Forest in Koolghan, Tiab and Kolahi areas have been dispersed with extent of 1698.03 Hectare between latitude 27 º 10' until 26º 52' of the North and Longitude 56 º 23' until 56º 59' of the East is one of the five Mangrove protected area in Hormozgan Province which is covered by net assemblies and non-coeval of Avicennia marina trees. The studied mass with the aggregation of 1014.71 trees in Hectare with average height 190.41±77.56 centimeter with the average of bough diameter in collar place is equal to 10.51 ±11.03 centimeters. The average of height and crown diameter of trees also has been measured 151.74±77.93 and 230.74±153.07 centimeters, respectively. Also, the average level of tree's crown has been calculated as 6.01± 9.83 m2, the average of the number of air roots as 197.50±110.69 pieces in m2 and the average height was determined 11.24 ±3.84 centimeters. Also, the number of fallen leaves of the bottom habitat was determined 119.34 pieces in m2 with the average of 6.65±1.85 cm2. Statistical evaluations showed that between the studied transects, sample parts of Koolghan area in none of the studied parameters had significant differences and this habitat had been evaluated of homogeneous structure. In other sample parts of transects, they had significant differences in confidence level of 95% in parameters of tree height, crown height, crown diameter, crown level and bough diameter in collar place, but in parameters such as number of trees per area and covering percentage, there were not any differences that showed the total studied area is homogeneous.

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This study was conducted to investigate Multivariate Statistical Methods, i.e., Principal Component Analysis (PCA), Cluster analysis (CA) and Discriminant analysis (DA), to assess temporal and spatial variations in the water quality in coastal waters of the Hormozgan province. Thirteen physico-chemical parameters (including Temperature, pH, Salinity, Dissolved oxygen, Electrical conductivity, Turbidity, TSS, Nitrate, Nitrite, Total ammonia, Phosphate, Silicate, DIN and Chlorophyll a) were selected to evaluate the quality of coastal waters. Surface water sampling layers (0-1m) were collected from at 14 stations during 12 months in 2013-2014. Results showed that Cluster analysis grouped Water quality in the fourteen stations and twelve months into three and two clusters of similar water quality features respectively. The principle component analysis identified five parameters (Temperature, Electrical conductivity, Nitrate, Total ammonia, DIN and Chlorophyll a) for temporal analysis and seven parameters (Temperature, Electrical conductivity, TSS, Nitrate, Phosphate, DIN and Chlorophyll a) for spatial analysis. Finally, according PCA analysis three possible latent pollution sources for groups 1, 2 and 3 (organic/eutrophication, Nutrient pollution and natural pollution) were identified. It seems that the coastal waters can be classified into three groups, i.e. low, moderate and high pollution.

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