جستجوی مقالات مرتبط با کلیدواژه "مقایسه زوجی" در نشریات گروه "محیط زیست"

Today, desertification is considered as a severe problem in most countries of the world, including the developing ones. Despite the serious environmental, social and economical impact of desertification phenomenon, few studies have been done to provide optimal alternatives. The aim of this study was to evaluate the alternatives for combating desertification in order to achieve optimal alternatives in the context of the sustainable management of deserts.

To achieve this goal, the Multi-Attribute Utility Theory (MAUT) has been applied in the context of Multi-Attribute Decision-making (MADM) models. In order to determine the weights of criteria and alternatives, it was used the modified Delphi and Shannon entropy techniques, while the final rating of alternatives was performed using the Multi-Attribute Utility Theory (MAUT) function. The model was applied to evaluate the efficiency in providing the optimal alternatives in Khezerabad Region of Yazd Province.

The results showed that, the alternatives of prevention of unsuitable land use changes (A18) by a utility factor of 0.7429, vegetation cover development and reclamation (A23) by a utility factor of 0.6573 and modification of ground water harvesting (A31) by a utility factor of 0.3184 respectively were identified as the most important alternatives for combating desertification in the region.

These results might able the managers to properly and efficiently use the limited available facilities and funds in order to control the desertification. In addition, achieveing better results, this might prevent the waste of national resources.

Desertification is a global problem and most of the arid and semi-arid countries including Iran faced this problem. Desertification has many limitations in terms of agriculture, food security, livestock raising, industry development and service costs. This phenomenon is a process that gradually developed, intensified and the cost of its reclamation increased exponentially. There for, substantial and balanced development of desertification activities is necessary for achieving success in controlling and reducing the effects of this phenomenon in different regions. Hence, determining and analysing the present condition of desertification in different areas is the first step in the prosses of regional sustainable development and the basis of budgeting policy, human resources and so on. On the other hand, due to the weakness of traditional methods of measuring performance, it is necessary to provide new and quantitative methods. In this study, in order to analyze the development of the regions from desertification perspective, the weights of indices were estimated using Shannon entropy model. The development rate of the units was determined using TOPSIS model. The ontained results showed that Ardakan and Bafg cities are very developed with the relative closeness of 0.5250 and 0.5124 from the ideal desertification solution, respectively. But Yazd, Taft and Mehriz cities are very poor with the relative closeness of zero from the ideal solution. Based on our results we suggeste that the obtained results and ranking should be considered in the process of budgeting and planning for the future development of cities in terms of desertification.

The phenomenon of deforestation is considered seriously by researchers as one of the most important issues in forest management. So far, many efforts have been made to identify the causes of deforestation and effective solutions have been proposed to reduce it. This study aimed to identify and prioritize the causes of deforestation of the Hyrcanian forests in northern Iran. The results of this research can provide a basis for understanding the conditions facing Hyrcanian forest management and help managers to make more detailed plans. In this research, group decision making was used to identify and rank the causes of deforestation. For this purpose, two types of questionnaires were designed. The first questionnaire was used to identify causes of deforestation of Hyrcanian forest while the second questionnaire was developed with the aim of Pairwise comparisons. The data obtained from the second questionnaire was used to rank the causes of deforestation in the Hyrcanian forests using the AHP, TOPSIS, ELECTRE III and SAW methods. Finally, to achieve accurate ranking, the final ranking was done using integration methods. The results showed that the weight of anthropogenic deforestation causes is much greater than the weight of natural deforestation causes; the weight of anthropogenic destruction factors was much more than natural factors. This shows that a large percentage of forest destruction in Hyrcanian forest is result of mismanagement of this forest and many human destruction factors can be stopped or modified and, while the natural factors are lower and under control, those effects can also be modified. Among the human causes of deforestation, illegal timber harvesting, invasion of forests, livestock grazing in forests and timber harvesting were the most important causes of deforestation according to forestry projects. After these factors, harvesting of wood for fuel, arson or spontaneous fires, early replacement of management and non-systematic exploitation of forests and construction development activities (road construction) were the main causes of deforestation in Hyrcanian forests. The most important of these deforestation causes were pests and spontaneous fires, respectively. In all four ranking methods (AHP, TOPSIS, ELECTRE III and SAW) ranked first to fourth respectively invasion of forested areas, The presence of livestock in the forest, illegally harvesting of wood from the forest and harvest wood as fuel, respectively. This indicates that these factors’ ranks have high stability and the total weight of each of these factors is high compared to the next factor, which means the impact of these factors on the destruction of the Hyrcanian forest is important. The results showed that success in the Hyrcanian forest protection plans depends on the cooperation of local and indigenous communities; because many of the environmental threats that cause destruction of the forests are the result of human activities, the success in most natural resource-related and the environmental projects depends on economic and social situations associated with the local and indigenous community living in the region.

In order to enhance the efficiency of control plans, reclamation and restoration of destroyed lands and prevention of limited capitals loss are necessary. Absence of a method for covering various criteria and alternatives and proposing the optimal solutions based on a systematic structure and collective view has been always noticed in de-desertification plans. It has been always observed that the alternatives are proposed based on the expert’s partial, nonsystematic and non-holistic view while he or she has no experience in application of systematic models, such as Multiple Attribute Decision Making (MADM), in de-desertification. Therefore, in this study, the systematic Fuzzy Analytical Hierarchy Process (FAHP) model has been used for proposing optimal solutions to de desertification. In this study, opinions of experts about the priority of criteria and alternatives were assessed by Fuzzy Delphi method and Pirewise comparisons. Then, the final priority of alternatives was obtained by using fuzzy decision making matrix and FAHP model. This model was employed for assessing the efficiency of proposing optimal alternatives in Khezrabad region in Yazd province. According to the obtained results, modification of groundwater withdrawal, with an average weight of 93, was identified as the optimal de-desertification alternative in the study area, and other alternatives were found to have an insignificant role in control of desertification.