جستجوی مقالات مرتبط با کلیدواژه "analytical hierarchy process (ahp)" در نشریات گروه "اکولوژی"

The main purpose of this research is to investigate the sustainability of rainfed wheat cultivation in the city of Mianeh in the cropping years of 2017-2020.

hierarchical analysis was used for feature weighting the indices. Social, economic and environmental dimensions were considered as decision criteria for sustainability assessment and for each of these dimensions five indicators had been contemplated. Paired comparisons of analytical hierarchy process and referring to agricultural Jihad management experts of Miyaneh county and wheat farmers in this city, 30 questionnaires were filled by wheat farmers and 40 questionnaires by agricultural Jahad management and natural resource management experts of Miyaneh county.

in both groups, economic dimension has higher weight then environmental and social dimension, respectively. In the economic dimension, from the viewpoint of both groups, the ratio of expenditure per hectare and operation on hectare is among the most important indicators, in total, these two indices have the highest overall relative weight. In the social dimension, the indicators of self-sufficiency in wheat production and the number of observer of the wheat project have the highest impact on wheat cultivation sustainability in every hectare and rural insurance in terms of farmers. In environmental dimension, the conservation indicators, or at least, have the highest weight importance.

it is recommended to increase the use of modified seeds and increase the efficiency of using inputs and determine the optimal price of wheat purchasing so as to increase performance and decrease the ratio of cost to income.

The importance of the economic aspect of tourism usually overshadow many natural tourism destinations. Fereydounshahr county in Isfahan province, with pristine mountainous landscapes and diverse natural features, has high potential to attract many tourists. However, pristineness over much of its area suggests limiting the public access based on the degree of naturalness. Hence, the aim of this research was to classify Fereydounshahr county based on naturalness. Accordingly, nine effective indicators were weighted, using Analytical Hierarchy Process (AHP). Idrisi software was then employed to overlay the digital layers of criteria and produce a naturalness map, that consisted of five classes (from very natural to developed), based on Ordered Weighted Averaging (OWA) approach under six different scenarios. Results showed that developed areas under the AND scenario and the natural areas under the OR scenario have the largest range. The extent of desirable areas, including natural and relatively natural, increased when moving from risk aversion to risk taking scenarios. Based on the results, most of the natural areas were concentrated in western parts of the region, due to the long distances from the main roads, high presence of wildlife, and the presence of steep slopes.

In this study, it is attempted to provide a proper assessment of flood status and flood risk for Tajan watershed. In this regard, by preparing flood hazard zoning maps and flood sensitivity analysis for the basin, susceptible areas have been identified and the extent of the hazard has been assessed for the basin. To this end, a fuzzy hierarchical fuzzy analysis (F-AHP) integrated model is used to prioritize, identify factors influencing flood events (including geological, climate, human factors, etc.) and determine the extent of impact of each. Flood assessment indices (including flow velocity, flow depth, mean precipitation, evaporation, slope aspect, drift pattern, flood plain, road network and land cover) were used. This information was transferred to the GIS environment after fuzzy evaluation in MATLAB and fuzzified/defuzzified index maps of the area were prepared. The goal of this work is to increase accuracy as well as integrate fuzzy models. These maps are used to identify flood sensitive areas (hazard maps) and hazard zoning (in 5 high-risk to low-risk groups). Based on the results of the hazard assessment, it has been identified that the most important concentration of flood sensitive areas in the main river is in relation to other parts and in the delta. Also, according to the drainage pattern of the region, especially in the eastern part of the basin, it has been determined that these areas also have a high sensitivity to flooding.

Landfill location is one of the most important aspects of municipal solid waste management. Selecting a suitable solid waste landfill site can prevent adverse ecological and socioeconomic effects. Therefore, the aim of this paper was to determine the solid waste landfill site selection problem in Bushehr city, according to some criteria including the considered land use, distance from surface and underground water, soil texture, precipitation, wind direction, geology, slope and distance from the fault, distance from the residential areas and distance from roads, and distance from the industrial parts and facilities . For this purpose, calculated criteria were weighted using the analytical hierarchy process (AHP). A geographic information system (GIS) was then used to manipulate and present the spatial data. The candidate sites by aggregation based on the criteria weighted by the weighted linear combination (WLC) method were determined and the candidate sites were divided to unsuitable and good landfill areas. In the good landfill area, with the least time and investment, there was the possibility of developing a solid waste. By considering the minimum required landfill area for 10, 20, 50 and 100 years, the candidate sites were prioritized. The results of the site suitability assessment showed that the site E in Bushehr city was the suitable area for locating the disposal of solid wastes, covering an area of 3738 ha, 3.7% of the total area.

Groundwater vulnerability assessment plays a key role in the conservation and proper usage of these strategic resources. Various methods have been proposed to assess the vulnerability and the most common is the DRASTIC model. The DRASTIC model consists of seven hydrogeologic factors to compute for the vulnerability index. The main problem with this method is fixed rates and weights related to each parameters in this model. So the main purpose of this research is to modify primary DRASTIC model by Single Parameter Sensitivity Analysis (SPSA) and Analytical Hierarchy Process (AHP) and finally to produce vulnerability map in GIS environmental software. Yasuj plain located in southwest of Iran is chosen as a study area. Nitrate concentration related to 24 wells are used to compare which method make better prediction based on real pollution in study area. Finally SPSA method has shown the best correlation with sample Nitrate, by specifying more suitable weight for DRASTIC parameters in each polygon. Also AHP method has assigned new weights to each parameters based on the importance and better result was achieved compare with basic DRASTIC. These results can be used to map groundwater susceptibility to pollution.

Flood susceptibility mapping is the first step in flood management programs. Flood prediction can help reducing its following damages. The main objective of this study is identification of prone areas to flooding using new ensemble Bayesian-AHP methods in the Neka-Sari watershed, Iran. Flood inventory map was prepared due to statistical analyses. A total of 240 (70 %) and 102 (30 %) out of 342 observed events were used as training and validation data set, respectively. Based on literature review, as well as extensive field studies, a total of 11 parameters in relation to flood occurrences were selected for flood mapping, including slope percent, elevation, distance to river, drainage density, NDVI, lithology, land use, topography wetness index (TWI), stream power index (SPI), rainfall, and curvature. The weights of each factor were determined by AHP method. Also, the relation between factor classes and flood events and the weight of each lasses were estimated using Bayesian theory. Finally, by integration of factors and their classes in ArcGIS, flood susceptibility map was obtained with five classes. In order to evaluate the obtained model, ROC curve was employed. Results showed that the ensemble model had a high accuracy (76.10 %) in flood susceptibility mapping. Also, slope percent, elevation, and land use have the highest effect on flood events with values of 0.260, 0.195, and 0.146, respectively. According to the results, 24.17 and 37.15 % of the study area are categorized in high and very high susceptibility classes, respectively. The presented combined model can be used for further studies on natural hazard mapping and disaster management.

Optimal use of lands heavily relies on careful assessment of agro-ecological resources. Evaluation of potential lands for various cultivated crops is the first strategic priority to increase production and optimized use of resources. This present study was aimed to identify effective climatologic، topographic and soil-related factors on rainfed wheat cropping in Qaresoo basin of Golestan province and determination of suitable areas to produce this crops usings Geographical Information System (GIS) and Analytic Hierarchy Process (AHP). At first، ecological requirements of rainfed wheat was identified from scientific literatures and then were classified to provide thematic maps. In this study، minimum، average and maximum temperatures، precipitation، slope، aspect، elevation and EC were considered. The Analytical Hierarchy Process (AHP) was used to find weight of each factor. Finally، the maps were provided and overlaid in GIS media and afterward the zoning of areas for rainfed wheat cultivation was done. Results showed that wheat grown lands would be located in four suitability classes. About 5170 hectares (6%) of the agricultural areas and 3% of the total area of the Qaresoo basin were located in high suitable class for rainfed wheat cultivation. Suitable precipitation، lower slope and projecting to south slopes and also the desirable electrical conductivity were the reasons make these regions suitable. Also، results showed that about 909 hectares (1. 5%) of Qaresoo basin lands that now are cultivating by rainfed wheat، have not required potency to produce this crop.