رضا بسیطی

The most important part to be considered is the determination of the carrying capacity of the protected areas, since these areas are able to accommodate a large number of tourists, so if these areas are not planned more accurately, the number of tourists will exceed the cc limit of the area. Resulting in instability and degradation of these areas, and therefore knowledge of the status of the area's cc will greatly help to control the damage. The aim of this study was determine potential, and social-cultural cc with the purpose of the establishment in ecotourism development. Therefore, in order to the determination of the potential of this area, calculation of the social-cultural cc after the identification of the social - cultural pressures using model PSR the social- cultural pressures regarding the calculation of the correction by applying the percentage corrections of the pressures and the relative importance using the techniques ANP and of each of them after the grading layer using the techniques WLC and builder model at Arc GIS10.5 combined. Social - cultural cc in the direction of the development of ecotourism determined. The results 50% of the content that the level region has high cc, 33% of the surface area has an cc and 17 percent of the level region has low cc. Findings of the research show that there is a low range of cc in the central part of the region; finally, based on the findings, suggestions have been made to increase the regional distribution cc.

Noise pollution can exert negative effects on mental health. In this regard, the present study aimed to evaluate the noise levels in sugar factory of Debal Khozaei agro-industry complex in 2018.

For the current study, sound and audio parameters were measured using a sound meter. These audio parameters included sound pressure level and minimum and maximum values measured in 9 units located in the interior space of the factory entailing 38 study stations  with 30 points in open space. It is worthy to note that sound measurements were performed twice a week in morning and afternoon shifts at time intervals of 15 min. Data were analyzed in SPSS software (version 16) using the ANOVA test.

Based on the results, the maximum and minimum sound pressure levels of power plants and white sugar warehouse were 0.86 ± 91.10 and 0.44 ± 91.10 dB, respectively. Additionally, the comparison of the average sound pressure level at different stations in the power plant and raw sugar production units, as well as some stations in the sugar refinery, lime kiln, and boiler exceeded the standard limit of 85 dB. However, this value was found to be below standard in the open space of the factory.

The ongoing monitoring along with the application of noise reduction techniques is recommended due to the excessive noise levels in some parts of the factory.