جستجوی مقالات مرتبط با کلیدواژه "geographic information systems (gis)" در نشریات گروه "محیط زیست"

Power plants have pollution of water, air, soil, and their voice and considerable damages to the surrounding environment enters. But also with the growth of population and industry,.... the demand for energy, especially electricity consumption has been growing in recent years But also with the growth of population and industry, the demand for energy, especially electricity consumption has been growing in recent years And the fact that the electrical energy supply required is often require build new stations and treatment plants social consequences, economic, political, environmental and many.

This paper identifies important factors in determining a suitable location for the construction of gas power plant in the province of Gilan, and the effectiveness of each of these factors, by using fuzzy and Boolean and software to GIS, integrating layers spatial data do and potential locations for the construction of gas power plants were identified.

The results showed With regard to the integration of different data layers and limitations, about 90 percent of Gilan province as a constraint areas were determined for power plant   And the other 10 percent, 5 percent favorable weight and 5 percent is weight the semi- favorable and unfavorable.

Finally, Compared with five operator fuzzy model, fuzzy Product function better than it looked.

According to distribution requirements and the broad distance between production and consumption centres in Iran, linear infrastructure development plays an important role and should be considered as a vital necessity. Routing problems include many factors which are often incompatible with each other and incompatibility amongst parameters causes significant delays in the process of routing. Hence, it is of interest that use of the new utilities in Geographic Information Systems (GIS) to optimize the routing process can resolve the difficulties faced in decision-making steps.
This study aims at optimizing oil pipeline routes from wells drilled to the refinery by using different scenarios and to consider is ORness and ANDness. In the beginning preparation stage all necessary spatial data Like, Geology, land cover, slope, Dem, Fault, Main, River, stream which are required to find the optimal route for establishment of oil transmission line have been collected than Standardization and Preparation by using reducing and Increasing linear weighting function. AHP process has been hired in order to find spatial weight of each parameter’s effectiveness in terms of cost of establishment and oil line interaction with its surrounding environment. Ordered weighted average (OWA) method has been applied to integrate spatial data and achieve the result, cost layer. Dijkstra's algorithm has then been used to find the optimal route between the location of wells and refineries.
The results show that with increase in the value of α, the amount of cost, average slope and height of the oil transit route increase. In scenarios with, higher values are given to high-value pixels. While higher order weights are assigned to values with a lower numerical value in the same position. Therefore, the length of the route from the All (AND) scenario to the At least one (OR) scenario decreases. Because the Dijkstra's algorithm is a single-objective algorithm and aims at extracting the path with the least cost. Because at every move, Choose a pixel with the lowest Accumulative cost as the direction of motion and do not pay attention to the length of the route.
By comparing the existing route and the paths obtained from the Dijkstra's algorithm in different scenarios based on the factors of length, cost, mean slope and height of the route extracted In Almost All, Most, and Half (WLC) scenarios, are better than the other options in terms of techno-economic and environmental conditions in study area. Other scenarios have produced better results than some of the existing ones in some of the factors. Providing Various Results, With ORness and tradeoff this method has great flexibility in estimating the needs and priority of decision makers in the field of petroleum industry to design optimal transmission lines.

The process of urbanism in countries that are developing, like Islamic Republic of Iran with increasing of the number and the size of cities and the fast accepting of population have been caused the forming of problems like an in-official economics and in-official settlement and was become creating high population in main and old places of city and increasing of air pollution and the kinds atmospheric pollutants in cities. (Pazhouhian and Morad Hasel, 1386). The most atmospheric pollution of big cities of Iran have direct relating between kind and the rate of the pollutants with density blocks of population in crowded places and full of population in term of the period of time and a place have geographic aspects. Every phenomenon of air pollution is in term of density and kind of the coordination pollutant have specific place and time. In this study has been used density classification method for studying relation between population and quantity & kind of atmospheric pollution in the big city of Kermanshah base on estimating number of population and calculating pollution in statistical block that are include 62 statistical point sample with determining rate of quantity of populations and geographic coordination studied place by using universal finding coordinate system (GPS). Statistical populations of ready research are include quantity of populations and quantity & kind of pollution that time period is 7 day in the suburb of Kermanshah big city.