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The link between symptoms of office building occupants and in-office air pollution: the Indoor Air Pollution Index

机译:办公楼居民症状与办公室内空气污染之间的联系:室内空气污染指数

摘要

The lack of an effective indoor air quality (IAQ) metric causes communication concerns among building tenants (the public),buildi ng managers (decision-makers),and IAQ investigators (engineers). The Indoor AirPollution Index (IAPI) is developed for office buildings to bridge this communication discord. The index, simple and easily understood,employ s the range of pollutant concentrations and concentrations in the subject building to estimate a unitless single number,the IAPI,between 0 (lowest pollution level and best IAQ)and ten (highest pollution level and worst IAQ). The index provides a relative measure of indoor air pollution for office buildings and ranks office indoor air pollution relative to the index distribution of the US office building population.Furthermore,the index associates well with occupant symptoms,pe rcentage of occupants with persistent symptoms. A tree-structured method is utilized in conjunction with the arithmetic mean as the aggregation function. The hierarchical structure of the method renders not only one index value,but also severalsub-index values that are critical in the study of an office air environment. The use of the IAPI for IAQ management is illustrated with an example. The decomposition of the index leads to the ranking of sampled pollutants by their relative contribution to the index and the identification of dominant pollutant(s). This information can be applied to design an effective strategy for reducing in-office air pollution.
机译:缺乏有效的室内空气质量(IAQ)指标会导致建筑租户(公众),建筑管理人员(决策者)和IAQ调查人员(工程师)之间的沟通问题。为办公楼开发了室内空气污染指数(IAPI),以弥合这种沟通不协调。该指数简单易懂,它利用对象建筑物中污染物的浓度范围和浓度来估算无单位的单个IAPI,即0(最低污染水平和最佳IAQ)到10(最高污染水平和IAQ最差)之间的IAPI )。该指数提供了办公楼室内空气污染的相对量度,并相对于美国办公楼人口的指数分布对办公楼室内空气污染进行了排名。此外,该指数与居住者症状,占永久性症状的居住者的比例很好相关。树结构化方法与算术平均值一起用作聚合函数。该方法的层次结构不仅提供了一个指标值,还提供了对办公室空气环境的研究至关重要的几个子指标值。通过一个示例说明了如何将IAPI用于IAQ管理。指数的分解通过对污染物的相对贡献和对主要污染物的识别,对采样的污染物进行排序。该信息可用于设计减少办公室内空气污染的有效策略。

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