Efficiency of Reducing Noise Pollution by Using the Greening System of Buildings

Author:

Shushunova N,Feoktistova O,Shushunova T

Abstract

Abstract Noise pollution in the cities is a major factor jeopardizing health as well as human living environments. However, previous research mainly focused on the reducing noise from different human activities, especially in the construction. We consider the problem more comprehensively and study the various possible sources of noise and the possibilities for their reduction or disposal in general. This article presents the methods of reducing noise pollution by using the greening system of buildings. The purpose of the work is to analyse the main sources of noise pollution of buildings and their mitigation methods. We propose the innovative modular green roof systems in the environmental development of green buildings. Efficiency of reducing noise pollution by using the greening system is verified by a case study on a residential building project.

Publisher

IOP Publishing

Subject

General Medicine

Reference23 articles.

1. A comparative analysis of the technical parameters of elevator equipment during replacement at the stages of maintenance and overhaul of real estate objects;Korol;Real Estate: Economics, Management,2018

2. " Green" standardization of the future - a factor in the environmental safety of the living environment;Telichenko;Industrial and civil construction,2018

3. Research and knowledge-intensive developments in the field of energy-efficient construction production;Korol;Construction Materials,2015

4. Domestic and foreign experience of using soft fitting structures in tent equipment;Strigin;MATEC Web of Conferences,2018

5. Rating assessment of energy-saving projects using “green building” technologies;Lukinov;Real Estate: Economics, Management,2015

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3