控制医院噪声污染的降噪方法的优先次序

Milad Abbasi, M. O. Tokhi, Nazila Eyvazzadeh, M. Falahati, M. Zokaei
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引用次数: 0

摘要

在过去几年里,医院的噪音污染有所增加,其程度可能会威胁到员工的健康和工作效率以及病人的安全。减少医院噪音的控制措施有很多。然而,人们对最佳措施仍未达成共识。本研究旨在确定减少医院噪音控制措施的优先次序。工作分为三个阶段。第一阶段通过使用 Scopus®、ProQuest、PubMed、Google Scholar、Embase ™ 和 Web of Science ™ 对最新文献进行审查,确定医院噪声源并对其进行分类。第二阶段利用文献综述和与相关专家的访谈结果,确定降低医院噪音的可行策略以及采用这些策略的最佳标准。第三阶段采用模糊层次分析法(FAHP)和与理想解决方案相似度排序法(模糊 TOPSIS)来权衡标准并确定控制措施的优先次序。根据结果,医院噪声源被分为四类:室外噪声源(29.7%)、生活设施产生的噪声(20.8%)、人类活动产生的室内噪声(27.5%)以及诊断和治疗设备产生的噪声(22%)。研究进一步得出了一套 9 项标准和 22 个备选方案,并使用 FAHP 和模糊 TOPSIS 进行了排序。使用 FAHP 方法确定了标准的权重,其中可行性(0.175)、有效性(0.143)和对员工活动的干扰(0.140)是最重要的标准。结果发现,替代高噪声设备(等级 = 1)、使用隔音罩(等级 = 2)、使用双层玻璃窗(等级 = 2)和隔音墙、门和窗(等级 = 3)等工程控制措施在降低医院噪声方面具有优先权。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prioritization of noise abatement methods for controlling hospital noise pollution
Noise pollution in hospitals has increased over the last few years to a level that can threaten the health and productivity of staff and patient safety. There are many control measures to reduce hospital noise. However, there is still no consensus on the best measures. This study aims to prioritize the control measures for reducing hospital noise. The work is divided into three phases. The first phase identifies and categorizes noise sources in hospitals through a review of the state-of-the art literature using Scopus®, ProQuest, PubMed, Google Scholar, Embase,™ and Web of Science™. The second phase identifies possible strategies for reduction of hospital noise and the best criteria for their adoption using findings from the literature review and interviews with corresponding experts. The third phase uses Fuzzy Analytic Hierarchy Process (FAHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) method to weigh the criteria and to prioritize the control measures. Based on the results, hospital noise sources were classified into four groups: outdoor noise sources (29.7%), noise produced by domestic facilities (20.8%), indoor noise from human activities (27.5%), and noise produced by diagnostic and treatment equipment (22%). The study further arrives at a set of 9 criteria and 22 alternatives ranked using FAHP and fuzzy TOPSIS. The criteria’s weights were determined using the FAHP method, with feasibility (0.175), effectiveness (0.143), and interference with staff activities (0.140) being the most important criteria. It was found that engineering controls such as substitution of noisy equipment (rank = 1), using acoustic enclosures (rank = 2), using double-glazed windows (rank = 2), and soundproofing walls, doors, and windows (rank = 3) have priority for reducing hospital noise.
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