首页> 外文期刊>Indoor and built environment >Survey of Unsatisfactory Levels of Airborne Bacteria in Air-conditioned Offices
【24h】

Survey of Unsatisfactory Levels of Airborne Bacteria in Air-conditioned Offices

机译:空调办公室空气中细菌的不良水平调查

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Those involved in property management are under pressure to alleviate the risk of disease spread through buildings, especially via the Heating, ventilating and air-conditioning (HVAC) system. To aid this, the level of indoor bacteria can be used as a referent to identify the performance of the HVAC system. Epistemic assessment of an AC office requires prior knowledge of the probable failure rate of offices in a region, which may be obtained by extensive measurements. This study proposes a statistical model to obtain a rapid estimation of the office probable failure rate over a region, that is, that fraction of offices with an average bacteria level above certain action levels.The model was based on transformation of small sample data to a geometric distribution using two analytical unbiased estimators: the weighted average and corrected sample variance of bacteria levels. These estimators could improve the accuracy of the estimates due to uncertainties of small sample sizes. Model parameters were determined from a dataset of levels in 290 Hong Kong offices (average 703 cfu m~(-3) and 95% rangern204-2418 cfu m~(-3)), using Monte Carlo simulations. The model was validated with another district survey of 109 offices in nine major Hong Kong commercial districts (average indoor bacteria level 297 cfu m~(-3) and 95% range was 69-1266 cfu m~(-3)).The observed office failure rate of each district was compared with the corresponding model estimate and consistent results were found.
机译:那些参与物业管理的人承受着减轻疾病通过建筑物传播的风险,尤其是通过采暖,通风和空调(HVAC)系统传播的风险。为此,可以将室内细菌的水平用作确定HVAC系统性能的参考。对交流办公室的认知评估需要事先了解区域内办公室的故障率,这可以通过大量测量获得。这项研究提出了一种统计模型,可以快速估算某个区域内办公室可能发生的故障率,即平均细菌水平高于某些行动水平的办公室的比例,该模型基于将小样本数据转换为使用两个分析性无偏估计量进行几何分布:细菌水平的加权平均值和校正后的样本方差。由于小样本量的不确定性,这些估计量可以提高估计的准确性。使用蒙特卡洛模拟方法,从290个香港办事处的水平数据集中确定模型参数(平均703 cfu m〜(-3)和95%范围204-2418 cfu m〜(-3))。该模型在香港9个主要商业区的109个办事处进行的另一项地区调查中得到了验证(室内平均细菌水平为297 cfu m〜(-3),95%范围为69-1266 cfu m〜(-3))。将每个地区的办公失败率与相应的模型估计值进行比较,得出一致的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号