فهرست مطالب اسماعیل کوهگردی

One of the factors affecting the water quality behind dams is the occurrence of processes such as thermal stratification and nutritionalism, which causes a sharp decline in water quality. The main purpose of this study is to evaluate the effect of thermal and nutritional layering of the Minab Dam reservoir and the effect of layering on the quality of drinking water in Bandar Abbas.In order to simulate and study the process of thermal layering and nutrition of the dam reservoir, samples were taken from 3 stations inside the dam for a period of one year from June 1, 1997 to the end of May 1998 and the layering method was Examined using the two-dimensional qualitative model CE-QUAL-W2. Modeling studies showed that the reservoir of Minab Dam has a summer stratification cycle for 10 months and mixing is done from December to March with decreasing temperature. Complete mixing takes place in December. The reservoir is in nutritional condition. The maximum temperature difference between the upper and lower layers of water was about 23 degrees in late August. The findings also showed that the presence of thermal stratification in the dam lake indicates changes in physical, chemical and biological quality of water at different levels, which with a duration of 10 months leads to inadequate water quality in the reservoir quality in the reservoir, of course inadequate drinking water quality in Bandar Abbas. With the continuation of these changes for 10 months, the layering of water quality downstream of the dam has changed. And the quality changes of drinking water in Bandar Abbas are also interpreted in this regard. Therefore, it is better to help the vertical mixing of the reservoir in different seasons of the year, especially the watery season, by extracting more water from the lower valves of the reservoir, in which case the nutritional conditions of the reservoir will be improved by reducing phosphate released from the floor sediments.

The Physical, chemical and biological parameters one of the most important factors determining the quality of drinking water. The overall purpose of this project is to investigate how the quality of water entering the plant in changing the water-color and creating the foams in different units of water purification. 

 This study is a case study and in real scale on the raw water inlet to the Koohsabz drinking water treatment plant has been done. The study was conducted over a period of 6 months (February 2016 to July 2017). In the first stage, the raw water quality was assessed according to standard methods. In the second step, the effect of each of the parameters on the color and foam formation in the water treatment process units and the mechanism of effects have been examined.

Average changes in temperature, turbidity, the color of the water entering the plant during the study period were 15.8oC, 6NTU, and 6TCU respectively and pH ranges from 6.9 to 8.4. Mean change of EC, TOC and DOC respectively is; 765 μS / cm, 5.8mg /l and 3.53mg /l. The average change UV254 and SUVA were 0.178 l / m and 5.856 L/ mg, respectively. Also, the mean changes of humic acid, surfactant, and chlorophyll a in the input raw water were 0.24, 0.05 mg / l and 2.4 μg/m2, respectively.

Investigations showed that the water quality parameters of water entering the treatment plant are effective in creating color and foam in water treatment process units.

Site selection is a key factor in any aquaculture operation which makes land use sustainable. This study was conducted to identify the appropriate sites for development of shrimp culture in the southern cost of Bushehr Province using geographical information systems (GIS) and Multi Criteria Evaluation (MCE) by creating a database of information layers, criterias and effective alternatives including pond construction (slope, elevation, land use types and soil thickness), soil quality (type, texture and pH of soil), sea water availability (distance to sea and type of water source), and social and economic infrastructure (population density and distance to roads, local markets, and hatcheries) were obtained from the Landsat 8 satellite images and processed in GIS environment. The constraint layer was excluded from the areas that were not allowed to implement shrimp farming. An Analytical hierarchy model was developed to identify and prioritize the most suitable areas for shrimp farming. The Landsat images and 13 thematic layers were analyzed using ENVI and GIS. By consolidating and overlaying the data layers, the final map of the appropriate places for shrimp farming was prepared and classified the area of study in four various zones (most suitable, suitable, moderately suitable and not suitable). The study revealed that 18781 ha (16%) was categorized in the most suitable group, 46899 ha (40%) was suitable, 47784 ha (40.7%) was moderately suitable and 3818 ha (3.3%) was not suitable. These results were consistent with field verification. The map accuracy was evaluated by the method of Relative Operating Characteristic (ROC). The result of ROC (0.749) indicated the validity of the presented model. The results of the present study can help to develope shrimp farms and increase diversity of the economic activities in the coastal zone.

The overall objective of this study was to investigate the turbidity and total organic carbon (TOC) of raw water entering the treatment plant and the pre-ozonation unit's efficiency is to remove these compounds. Sampling from raw water and pre-ozonation water was done within 6 months and tested according to the standard method of the method. The results showed that there was a direct correlation between total organic carbon content and turbidity that's more in winter and in February with a high turbidity of 18NTU and TOC above 7mg / l. It was also found that the average pre-ozonation unit efficiency in the removal of total organic carbon with an average ozone dose of 3kg / hr and the contact time 18 minutes, is 20.52%, The highest TOC removal efficiency was in February (35.7%) and the lowest removal efficiency (14.08%) in May. The average turbidity removal efficiency is 61%, the highest and lowest percentages eliminated respectively were in February with 85.2% and 30% in July. Therefore, to increase the efficiency of pre-ozonation unit in removing organic compounds and ... It is necessary to carefully consider the process and design factors To increase the efficiency of removal of compounds.

This study is aimed at evaluating the change process of Mangrove Stand of Nayband Marine-Coastal National Park in Bidkhoon and Basatin bays using Landsat satellite images within the interval of 1975-2013 and comparing the said process to actual land reality. Study of the respective changes in the area of the Mangrove of the first marine-coastal National Park in IRAN, which is identified as the latest scatted trees in the north hemisphere, may establish suitable grounds for more desirable management of life ecosystems, playing a pivotal role in the life of aquatics and local communities and the ones. Remote sensing science is among the sciences, which provides the researchers with valuable images for study the changes occurred on the earth. Herein this research, such meters as MSS, TM, +ETM and OLI of the aforesaid satellite as of the years 1975; 1990; 2000; 2003;2004; 2005; 2006; 2007;2008;2010; 2012 and 2013 and after applying the required corrections, removing the respective errors, combining the bands and georeference, using the image of the year 2012 as basic and fusion image and applying the supervised classification using maximized likelihood method and IPVI index, the said changes were studied. In order to compare the said changes to actual earth reality, Google Earth satellite images of the year 2004 as well as topography using GPS method of the years 2010 and 2012 were also used.. This study has also revealed a noticeable descending decrease of Mangrove Stand in spite of provisional plantation of shrubs in Basatin bay and decrease in density, looseness of tree stands and a trivial increase in the area of Bidkhoon Bay (Asaluyeh). Relying on the results obtained from the said study, the area of Mangrove Stand in Bidkhoon Bay in the year 2012 was calculated with an area of 1119072 m2 using GPS method with a supervising classification of maximized likelihood as 1231200 m2, and IPVI index with 1317600 m2 and in the said year, the area of Basatin Bay was calculated with an area of 466644 m2 using GPS w with a supervising classification of maximized likelihood as 88200 m2 and IPVI index was calculated with an area of 63000 m2. The change process of the forest has naturally been decreased and this is actually evident in Basatin Bay due to serious changes caused by human’s activities. Planting Mangrove shrubs in some years has somehow compensated for the said defect and upon passage of a few years, the said descending process will come out once again.