Plants Role in Noise Reduction of Interior Walls (Comparison of Noise Absorption in Native Species and Non-Native Species)
محل انتشار: فصلنامه بین المللی هستی فضا، دوره: 9، شماره: 3
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 237
فایل این مقاله در 9 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_SOIJ-9-3_006
تاریخ نمایه سازی: 18 خرداد 1400
چکیده مقاله:
Noise pollution is one of the most important features of architectural spaces having a great impact on the comfort of residents. Therefore, providing appropriate and sustainable solutions for noise pollution control is essential. Today, with the use of man-made synthetic materials, it has been tried to improve the sound performance of buildings. The purpose of this study is to show the characteristics of plants for noise absorption and noise reduction and to find suitable species to use in interior walls of buildings to reduce noise pollution between the two adjacent spaces. Library studies were first used to identify plants and their morphology in order to identify plant species with these characteristics. Adaptability of acoustic principles to plant tissue was also assessed, and then the species morphological parameters were extracted through laboratory calculations and measurements using scales, calipers and AutoCAD software. The results showed that Nephrolepis Exaltata (Boston ferns) has more sound absorption. As a result, the sound absorption can be improved by the use of covered walls. It can also be assumed that non-native species present in Iran exhibit better sound absorption than native species
کلیدواژه ها:
نویسندگان
Setareh Babakhani
Department of Architecture, Arts and Architecture, University of Mazandaran, Babolsar, Iran
Mostafa Gholipour Gashniani
Department of Architecture, Arts and Architecture, University of Mazandaran, Babolsar, Iran
Arman Mahmoudi Otaghvari
Department of Botany, Biology, University of Mazandaran, Babolsar, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :