boolean logic

The lack of proper management and the lack of choosing the right place for disposal and burial of waste creates problems for the human and animal environment. Khoda Afarin city has a population of about 34977 people and Kalibar city has a population of about 48837 people. In the last few decades in these cities, with the increase in population, consumerism, and the change in people's eating habits, the increase in the consumption of packaged materials along with the imitation of people's consumption pattern has caused an increase in the production of a large amount of waste. Despite this problem, there is still no proper way to dispose of waste in these cities. The purpose of this research was to locate landfill centers based on ANP network analysis process model and Boolean logic in GIS environment by using the opinions of expert experts in the form of pairwise comparison questionnaires and descriptive-analytical method.

In this research, in order to select landfill centers due to the complexity of the influencing factors, the necessity of using geographic information technologies (GIS) and its integration with other management and planning matters has been proposed; Therefore, in this research, ARC GIS software has been used to create databases, spatial analysis and superimposition of information layers, as well as ANP model and Super Decision software to calculate criteria weight and Boolean logic model.

In this research, 17 layers of information include; Surface water resources, slope, city and village areas, protected areas, fault, soil, road network, litology, land use, erosion, NDVI, dem, climate, land side, dam, aspect Then, in the network analysis process model, Super Decision software was used to apply weights for each of the criteria, and in the ArcGIS environment, the information layers were combined with the final weight, and the value of each cell was determined in the final map. The area of 369221 hectares was divided into four categories: unsuitable 174720 hectares, relatively unsuitable 146677 hectares, suitable 42670 hectares and completely suitable 5154 hectares in terms of landfill location, and in Bolin logic, the estimated area of unsuitable 365457 hectares and suitable 3938 hectares for landfill location Garbage detected. Finally, due to the closeness of the areas to each other, the final maps of both models were overlapped, and after merging the locations of 2679 hectares, a suitable location was determined, which covers 73 percent of the suitable areas of the Boleyn model.

The comparative analysis of the results shows that finally, in the ANP model, only 1.4 percent of the area of the area is completely suitable, and in the Boleyn model, 1.2 percent of the area of the area has optimal conditions for the landfill. One of the most important achievements from the results of this research is the use of a completely suitable place and the final result of the map from this research.

One of the main challenges facing water resources management is groundwater conservation and its sustainable use. Building an underground dam can be one way to solve this problem if it is possible to do. Hassanabad watershed lies between the Shiyan and Mahidasht plains in Kermanshah province. However, despite the same rainfall in the region, this basin has more unfavourable conditions in terms of water resources, vegetation and type of agriculture than the two adjacent plains. The purpose of this study is to identify suitable areas for the construction of an underground dam in the Hassanabad basin. To achieve this goal, after preparing different layers of information in Arc GIS, areas with potential were investigated using the Boolean method based on slope, material and land structure criteria, hydrological conditions and land use. Consequently, 7 axes were selected as potentially suitable locations for underground dam construction on the southern margin of the Hassanabad Plain. In the next step, these axes were prioritized by the analytical hierarchy process method based on general socio-economic criteria, dam reservoir, dam location and water characteristics, and axes 6, 7 and 1 took the first to third orders, respectively. According to aerial photography maps, field visits, structural geology analysis, and groundwater flow direction, axis 6 is identified as the most optimal axis for the construction of the dam.

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.

Nowadays, landfill method is used as the last strategy in the integrated solid waste management hierarchy. It is more common and has lower costs than other sanitary disposal methods. Selecting the suitable landfill site can prevent the inappropriate ecological and socio-economical effects. Landfill site selection requires the analysis of spatial data, regulations and accepted criteria. The main objective of this study is to determine the suitable common municipal solid waste landfill site for Khomeynishahr and its 6 adjacent cities. For this purpose, the multi criteria evaluation method, GIS and Analytic Hierarchy Process (AHP) were used to evaluate the suitability of appropriate landfill site by emphasizing on regional vision. Different information layers related to the maps of the study area were provided and superposed using both the Boolean and fuzzy methods (classification of suitable areas in the valued range of 0 to 255) in the GIS environment. The AHP was used for weighing the information layers. After the necessary analysis, the proposed suitable landfill sites with an area of less than 1% were defined in 5 regions and in central parts of the study area. The results obtained from this study can be used as the first priority to help the decision makers in suitable landfill site selection.

Underground dams are structures blocking the natural flow of groundwater and provide groundwater resources. In arid regions with limited water resources, it can be managed by constructing these structures. The purpose of this study was to select suitable site for the construction of underground dams in ShahreKurd and Marghmalek watersheds based on site selection criteria. As several different criteria should be considered, it is essential to use methods that are capable of fulfilling the desired criteria. For this purpose, GIS and Analytical hierarchy process (AHP) were used in this research. To prioritize the areas, different criteria and sub-criteria such as water (quantity, quality), reservoir (reservoir depth, reservoir slope, permeability and reservoir area), axis (axis length, axis depth and lithology of the supports) and socio-economic factors (distance from rural areas, distance from road, drinking, agricultural and industrial water supplies, and impact on water resources) were considered. The water quantity with a weight of 0.83 had the highest rank. Finally, 15 regions were introduced for prioritization out of 60 suitable sites in the study area using Boolean logic. The results showed that the best axes for underground dam construction were located in alluvial beds of low slope, high-flow rivers, with large reservoir volume, high runoff, and high permeability.

Landslide is a geological events which causes enormous human and financial losses in country every year. in this paper ,first map of landslides distribution in Bagheran mountain(south of Birjand that occupied about1100 km2)was prepared by aerial photos, geological maps and field surveys. in this topic, effective parameters will prioritize. Then with Analytical hierarchy process (AHP) and Boolean logic, the weight of parameters were determined and finally combined together by ARC GIS. The results of Landslide hazard mapping indicate erosion, distance from fault and accelerate factors are most importance in creating landslides in this area. Base on field evidence, rock fall landslides are more abundance in area and results indicate that more %85 of landslides are within 0-700 meters of faults, which indicates a direct correlation with regional tectonic. The percent of slope show most of landslides are formed in15-40 degrees of slope. Also more %95 of landslides are in low and very low resistance to erosion. The results of landslide hazard mapping based on analytical hierarchy process, Respectively 15, 12, 25, 29 and 19 % of the area were at very low risk class, low, medium, high and very high.

Ecotourist is responsible tourist which visit of natural areas and have also negative impact. This study identifies ecological capability of Solak sight over 2326 hectares for ecotourism, by systemic analysis method (Boolean logic) based on Ecological Tourism Makhdoum model. To accomplish this aim,at first the environmental resource of the area were collected and by overlaying data layers in GIS environment and the use of Makhdoum ecological model extensive recreation and inttensive recraetion areas were identified for a variety of ecotourism. The results showed that, 58/133 hectares of the area is capable for intensive recreation on class2 and 81/485 hectares is capable for extensive recreation class 2.

In the systematic exploration plan for prospecting the mineral deposit, we can design an exploration algorithm using the modeling of known mineral occurrences. Such an algorithm is a key to recognize the area where is high probability of mineralization, reduce the risk of exploration and increases the probability of exploration success. In this paper, we introduce an algorithm for optimizing mineral potential model and target generation in the exploration operation with focus on the gold exploration. In this way, after descriptive and conceptual modeling of gold deposit, all of the characteristics that can be used as an exploration criterion have been identified and assembled as a target model. Then, various data layers have been used to generate significant evidential maps. Then all of the evidential maps should be combined to generate mineral potential model (map) of the mineralization type sought. Recent map shows the probability location of gold mineralization as target area. Finally an algorithm has been introduced in which all of the exploration stage and methods have been identified base on priority.