توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱The Analysis of Development Levels in the Rural Regions in IslamicWorld based on Morris Model Case study: Darab City, Fars Province, Iran
اطلاعات انتشار: چهارمین کنگره بین المللی جغرافیدانان جهان اسلام، سال
تعداد صفحات: ۷
The rural development planning is effective only when it is in full accordance with other existing regional planning, because it needs to influence the regional economy. On the other hand, the recognition of structural characteristic of development levels and environmental potentials in each area is of great importance. The present study analyzes and determines 23 various variables and criteria, required for the recognition of rural development from different aspects such as economical, social and servicing based on the Morris model. The result of the studies indicates that there are differences at development levels which may result in a need to reduce the imbalances through the accomplishment of proper developmental planning in rural regions. In addition, the study shows that rural regions are highly deprived of economical development and it is expedient to give priority to economical growth in these areas<\div>

۲The influence of Atlantic–Eurasian teleconnection patterns on temperature regimes in South Caspian Sea coastal areas: a study of Golestan Province, North Iran
اطلاعات انتشار: Pollution، اول،شماره۱، ۲۰۱۵، سال
تعداد صفحات: ۱۷
The main objective of this study was to reveal the impact of nine climate indices on temperature changes and climate oscillations in Golestan Province along the southern coast of the Caspian Sea. Climate indices data from across the Atlantic–Eurasian sector were collected from the NCEP\NCAR, the Climate Prediction Centre (CPC) and the Climatic Research Unit (CRU) over a period of 40 years (1971–2010). The climate indices are then compared and correlated with temperature observations from 47 weather stations collected from meteorological and energy organizations. The correlations are based on the 12–month moving average. The study results show a significant increasing temperature trend in most months over different regions of Golestan. For maximum temperature, a significant increasing trend was seen in 55.64, 41.8 and 40% of the land area in the province during August, June and July, respectively. In general, summer had the most significant maximum–temperature trends, with an average of 37.8% of the land area. On the other hand, increasing minimum–temperature trends were seen in 58% of the land area of the province compared to the other seasons. It was concluded that there is high correlation between climate indices and temperature components. The correlation coefficients obtained for various indices including North Atlantic Oscillation (NAO), North Sea Caspian Pattern (NCP), Arctic Oscillation Index (AO), East Atlantic (EA), East Atlantic\West Russia (EATL\WRUS), Atlantic Multi–decadal Oscillation (AMO), North Tropical Atlantic (NTA), Polar\Eurasia (PE), and Scandinavia teleconnection index (SCAND) suggest an inverse relationship between these indices and temperature components. Therefore, the higher the values of these indices, the lower the temperature values, and vice versa.

۳Evaluating the consequences of the new standards on noise conditions in ships
نویسنده(ها): ، ، ، ، ،
اطلاعات انتشار: Pollution، اول،شماره۲، ۲۰۱۵، سال
تعداد صفحات: ۱۲
Noise is one of the main parameters to be considered to achieve a healthy indoor ambience in ferries. Therefore, the noise standards need to be more specialized and specifically based on real sampled data and case studies. In the present research, the noise levels in a ship, under different working conditions, were sampled and compared with those specified in the new and old standards. An initial study showed two main noise sources– clients and main engine– that influence other indoor environments, reducing the quality of life on board. The real–time data revealed that the maximum noise level limits set by the International Maritime Organization (IMO) in the older Resolution A.468 (XII) was mostly respected, except in areas where maintenance of the noise level was difficult, owing to the continuous influx of people, especially at the time of boarding and disembarking of the passengers and at the food self–service areas. In this sense, under the new Resolution MSC.337 (91), the maximum noise level allowed in the accommodation has been reduced by 5 dB (A), but this environment does not meet the standard. More results show that future standards must not only consider the noise level in a working place and add another variable, such as, the number of working hours, to obtain a representative equivalent energy, and they must also consider that a simple modification of this standard implies a redesign of most of the indoor ambiences onboard.

۴Development of a new low–cost procedure for wind farm maintenance with a view to decrease soil pollution
اطلاعات انتشار: Pollution، اول،شماره۳، ۲۰۱۵، سال
تعداد صفحات: ۱۱
The purpose of this article is to present the development of a wind farm, with a condition monitoring system (CMS) based on control charts as the algorithm, centred on a new index, to prevent soil pollution by oil spills in wind farms. To this end, temperature sensors can be considered as one of the more significant sensors to be employed in this study, because the information obtained with regard to anemometers and electrical power output counters can be employed by the control system. As a result, among the other variables, oil temperatures sampled in multipliers used in the wind turbines of a real wind farm were employed. Statistical analyzes were developed and the relationship between wind farm maintenance (usually related to wind farm oil spills) and oil temperature was obtained. Furthermore, a practical case study, centered in the statistical process control, based on the low–cost sample variable was developed and showed that this new procedure would improve deficiencies in the maintenance process, thus, reducing the failure detection time under low sensor cost, as also the related soil pollution.
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