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Tourism is one of the most dynamic economic activities that currently plays an important role in local sustainable development. The industry, through the combined and simultaneous use of both internal and external resources, presents plenty of social, economic, environmental, and cultural benefits. Hence, it is considered a primary option in the development process. Unfortunately, despite the high potential for tourism development in Iran, the relevant experts believe that it has not developed as appropriate. Lack of a comprehensive approach to managing available strengths and opportunities in order to overcome threats and weaknesses seems to be the main challenge toward achieving sustainable tourism in the country. Accordingly, the current study focuses on presenting an integrated strategic plan for tourism management in a recreation destination near Tehran. Due to the participatory nature of the managerial affairs, to minimize the bias through weighing criteria and finalize the potential offered strategies, an integrated approach that combines analytic hierarchy process (AHP) and strengths, weaknesses/limitations, opportunities, and threats (SWOT) called the SWOTAHP Hybrid Method was applied. Afterward, a quantitative strategic planning matrix (QSPM) was used to prioritize the suggested strategies. The obtained results indicated that giving priority to tourism projects in the river borders is the foremost priority to rehabilitate tourism activities in a sustainable manner.
Composting has always been considered a way to optimize use of biodegradable wastes. The point which is perhaps less noticed is that this process is not necessarily always and everywhere economical. Energy consumption and greenhouse gas emissions are among factors that can impugn eco-efficiency of the process in composting factories. The present study is an eco-efficiency assessment of a composting factory in Tehran calculating the real economic and ecological efficiency of the composting process by considering two main external burdens: energy consumption and greenhouse gas emissions over the period 2007-11. In this research, the instruction presented by the World Business Council for Sustainable Development [ 1 ] was followed up to quantify eco-efficiency indicators. The obtained results revealed that the composting factory experienced a negative energy eco-efficiency within the periods 2007-08 (-71.97%) and 2008-09 (-69.82%). In terms of CO₂ emission eco-efficiency, there were also inefficient periods in the plant in two time intervals: 2007-08 (-71.97%) and 2008-09 (-69.80%). Fortunately, this was a temporary situation so that at the ultimate year of 2011, the composting plant had an acceptable performance in terms of energy consumption (with an eco-efficiency of 166%) and CO₂ emission (with an eco-efficiency of 165.85%). Overall, although the composting process is an effective strategy for better use of resources, it will sometimes impose additional burdens on the environment if the external expenditures such as energy consumption and greenhouse gas emissions are neglected or less-intentioned.
Every type of construction project, including reservoir dams, along with undeniable positive impacts has always been coupled with inevitable adverse side effects on the environment. Therefore, it is necessary to adopt appropriate managerial measures for mitigating the adverse effects and preventing serious disruption to the life of people affected by the project. Accordingly, the current study was carried out with the aim of applying a new method called “Monavari 2001” to assess socio-cultural impacts of the Siah Bishe Dam within constructional and operational phases. For this purpose, a total number of 94 questionnaires were distributed among relevant experts. In order to interpret the questionnaires using SPSS software, all the questions have been coded separately. The obtained results suggest that about 33.7% of total temporary impacts related to the constructional phase are positive, while approximately 66.2% of them are estimated to be negative. Meanwhile, around 80% of the total permanent impacts are positive and the rest are negative. In other words, the long-term positive impacts have dominance over the negative consequences. The current study shows how the Monavari 2001 method can be affective in handling social impact assessment studies.
Recent rapid growth of the aquaculture industry and the necessity to comply with environmental standards suggest the need for studies on the possible negative effects of this type of industry. One of the most devastating effects of aquaculture is water pollution caused by the discharge of untreated effluent from fish farms into aquatic ecosystems. Assessment of the pollutants requires an optimal design of a water monitoring network in a way to demonstrate changes in aquatic environments. Accordingly, the present study used multivariate statistical analysis to determine sampling frequency for optimal monitoring of the contaminants resulting from trout farms in the Haraz River in northern Iran. For this purpose, a total number of 17 physical and chemical water quality parameters were sampled monthly over a one-year period based on the instructions recommended in the standard method (2005) [1]. The results showed that changes in biochemical oxygen demand (BOD) during the warm months of summer were very high and reached its peak in August and September. This may be attributed to the increased fish production in fish farms, increased food intake to feed the fish, and higher rate of discharge from fish farms containing waste feed and fish faeces. The nitrate also reached its maximum level in June due to the same reasons. Conversely, dissolved oxygen (DO) level was the lowest in the warm months (August and September). The reason would be increased consumption of DO due to higher production rate in the fish farms and increased metabolism of fish in warm months. Overall, the findings confirmed the applicability of multivariate techniques in determining temporal frequency of the measurements during the monitoring period. By which it would be possible to recognize the reality of changes in water quality, with fewer measurements, and in less time and cost.
The improper collection and disposal of waste can cause serious problems in the near future. Unfortunately, in developing countries this issue has not been adequately addressed. The upward trend of waste production, on one hand, and lack of strategies to manage such materials, on the other hand, have been seen in many areas – especially metropolitan cities with serious problems – have led to a lot of environmental damage. Moreover, there are also some waste disposal drawbacks in cities. This study is a GIS approach aimed to perform a systematic landfill site selection study by introducing a decision support system for sustainable household waste management using a value-focused multi-criteria method. For this purpose, Sarab County was selected as a case study. The research shows how effective the multi-criteria method is in handling wide ranges of criteria involved in site selection studies.
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