According to amendment of The project dams requires many credits for watershed management. Locating studies and prioritizes critical areas are Necessary before the dams must be done accurately and comprehensively. Accurately identify erosion areas in the sub watershed is essential and appropriate measures, including structural, non-structural subject or a combination of them can reduce the severity of the damage caused by erosion and sedimentation. Accordingly the following watershed basins in the execution of construction activities, determine priorities and policy requirements are, the most importance. In this study, 11 effective measures of the performance of Dams stone - mortar in the area identify. Weight by Expert Choice software, and implement dam priority sub watershed stone - mortar by the TOPS IS. According to the results of effective criteria for locating Dams stone–mortar, the criteria erosion, including sedimentation, and discharge in particular is the most importance with the weight of 0.132, 0.103 and 0.1. Finally the watershed dams to carry stone-mortar TOPSIS methods were prioritized. The results show that the erosion of the basin S 1 with 61.14 ton/ha in the first one and sub-basin S3-n is the last one for the implementation of stone-mortar dams. The administrative priority of structures is important in allocating targeted credits for the watershed step.

Regarding to unbelievable recent technology developments, one can observe the progress of science in the fields such as agriculture and industry due to application of computerized systems. Performance and ability of computer causes that challengers accept this phenomena in any ages and receive its services. Agricultural industry has benefited from this technology too. In fact designing an expert system is creating an intelligent computer software which is able to suggest the best way in a systematic and exact manner with bounded knowledge. It goes without saying that its possible to design expert systems in any branch of sciences. In this article design of an expert system in selecting primary tillage tools has been discussed. Developed multiple language, is efficient for the whole country to day. It is enough to show your location on the map instead of answering some of the questions for KARAJ (its hemisphere information exists in the software). These facilities is extendable for the world. The structure of the software for selecting the empliments is done on the basis of weighting different parts of the name of the complete implement by fuzzy logic lables and data fusion and its result is a list of proper tillage implements for that special situation given by the user. This list is sorted by the priority of implements and the pictures and explanations as well as the name of the implement will guide the user.

There are several factors influencing the water quality based on its usage. The quality of drinking water is of the vital concern for human health and life. An essential attempt has to be done to develop a water quality index (WQI) corresponding with different conditions and characteristics of the relevant river or water body such as geographical, hydrological, discharge rate and pollution sources. The index is not specifically focused on human health or aquatic life regulations. However, a water index based on some very important parameters can determine a simple indicator of water quality. In the present study, the Gorganrood water quality has been evaluated by available NSF water quality index. Subsequently, the nine present NSF parameters’ weights have been changed and modified using the analytical hierarchy process (AHP) method as well as experts’ opinions in the field in a way to satisfy local conditions. In the newly developed WQI, more weights are given to relation with these parameters it can be said that the factors like dissolved oxygen (Do), fecal coliform (F.c) and biological oxygen demand (BOD) when compared with NSF-WQI.

Undoubtedly, the air pollution issue is one of the most prominent problems in today's societies. Therefore, one of the human goals is to enhance air quality. The main challenge in this paper is to choose the best air pollution control equipment based on the perspective of an analytical hierarchical process (AHP). The AHP is a multifaceted method of decision-making based on different regulations in order to achieve logical consequences, which Expert Choice software was employed. Cost parameters (operational and material), yield, environmental regulations, pollution sources and operating conditions are selected as process criteria. Also, cyclone separators, scrubbers, electrostatic precipitators, and fabric or bag filters are alternatives for this process. Due to a pairwise comparison of criteria, sub-criteria and alternatives in software, the electrostatic precipitator was chosen as the best control equipment with a preference of 38% over other apparatus. Also, the cost criterion was the most preferred with 31.2%.

Introduction: Hazardous waste (solid, liquid or contained gases) is a waste with properties that make it potentially dangerous or harmful to human health or the environment. Site selection and suitable conditions for hazardous wastes landfill is considered as the final stage of waste management that they have high sensivity. The purpose of this study is to identify prone areas to hazardous waste landfill for Chaharmahal and Bakhtiari province using geographic information systems (GIS) as an important tool for the analysis of potential sites and the Analytical Hierarchy Process (AHP) and to provide solutions to optimize the positioning is executed. Firstly, criteria and limitations of environmental, economic, social and physical were determined, then layers of the criteria in GIS were prepared. In this study, the inappropriate areas were first removed from the model, and the suitability of remaining regions as a categorize criterion considered. Categorize criteria for paired comparison using AHP as an efficient tool for determining the relative weight parameters are used to measure and rank the expert choice application imposed. Then the implement paired comparison of the relative weights of the criteria and sub-criteria and criteria for each category were determined. After calculating the net weight and normal weight, normal weight based on standard maps in the GIS environment has been classifieds. Finally, by combining maps and applying criteria FA map, the final map was extracted. Material and methods: The purpose of this research is to identify and prioritize appropriate areas of special waste disposal using multi-criteria decision-making methods. In order to locate using the GIS, first, identifying, evaluating and selecting criteria and constraints for the construction of landfill, in order to reduce the economic, environmental, and health costs. In the multi-criteria evaluation method, criteria are the basis of decision making, so that a set of criteria is combined and combined to achieve a single combination. In this paper, a two-stage process was used to locate the landfill site. In the first stage, which is recognized as the identification stage of prohibited areas according to different criteria, the study area is divided into two appropriate and inappropriate classes that will be eliminated as prohibited areas for the construction of landfills. In the second stage, the various factors are ranked and weighted according to the relative importance and, finally, places that receive the appropriate points are introduced as areas susceptible to the dumping of special wastes. In order to obtain the digital data of the criteria in the GIS environment from the digital elevation map (DEM), the specifications of the piezometric wells information are available from the regional water organization of the province. The available data such as geological map of the province at a scale of 1: 250, 000, satellite images of Landsat and map of land suitability of the province, rainfall data of the synoptic stations of the province and the data of the Environmental Protection Agency were used. In general, the following steps have been taken in the process of locating:-Identification of effective locating factors (limitations and factors) Digitizing and providing the required layers of information using the GIS package-Identify and eliminate prohibited and inappropriate areas for landfill construction-Classification and weighting of the factors and layers of information sought-Integration of layers and the provision of a mapped rate and talent to determine the appropriate areas. Results and discussion: 1. Set limits In this study, in order to select suitable sites for landfill particular, the criteria and limitations were determined. The information layers for each of the criteria were provided in the GIS environment. 2. Classification and weighting criteria In the second stage, which is the stage of weighting and rating, of 14 effective criteria were used in site selection. AHP is one of the most efficient techniques, multi-criteria decision. This method is based on comparing factors and to study various scenarios to give managers and decision makers. This technique is one of the most comprehensive system designed for decision-making with multiple criteria. 3. Editor hierarchy to locate Hierarchical structure is a graphical representation of a real complex problem, which mainly target the problem and at the next general criteria, sub-criteria and options are the way in AHP is used to calculate points based on comparison test. 4. Shipping Weight Matrix Binary comparison and decision-making After compiling a hierarchical structure, the next step is to evaluate the elements by comparing the test. In general, if the number of options and criteria respectively m and n are then paired comparison matrix of options for comparison matrix m × m and n × n matrix will be a couple of criteria. 5. After weighing and preparing the normal weight of the options, the normalized weights in the GIS environment were added to the criteria map and the Raster and Weighted layers of each criterion were prepared. Due to the wide area of the studied area, the size of each pixel was 50 * 50 m. Then, using the Raster Module, the Criterion Map was combined and a zoning map was prepared for the special waste disposal site. Conclusions: In the present study, according to various criteria influencing the Hierarchical Analysis Process for prioritizing the criteria in decision making, based on the results, the talent map of the area was prepared for special waste dumping, in which according to the final score of the layers, the area was classified into four appropriate, relatively suitable, relatively inappropriate and inappropriate classes. Suitable areas were 12. 64%, relatively fairly 32. 47%, relatively inappropriate 30. 43%, and inappropriate zones 9. 58% of the area of the talent map were included.