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Air quality in archives housed in historic buildings: Assessment of concentration of indoor particles of outdoor origin

机译:档案中的空气质量居住在历史建筑物中:评估室内户外颗粒的浓度

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Indoor air pollution in archives can cause irreversible degradation of materials stored there. Thus, detailed information about indoor air quality is essential before control strategies could be investigated. In a period 2008-2019, the relationship between the indoor and outdoor pollution was investigated in four naturally ventilated archives located in historical buildings and situated in regions with different outdoor air quality. The indoor and outdoor particle number, mass, and chemical size distributions were measured during different seasons. Moreover, air change rates (a), penetration coefficients (P), and deposition velocities (V-d) were determined. The results revealed that the most important source of the indoor particulate matter was the outdoor air. The size-resolved data with no indoor sources were evaluated using the steady-state solution of the mass balance equation as the I/O ratio. The results showed that all parameters (a, P, and V-d) determined in archives were comparable with low seasonal variation, probably due to the similar building characteristics. Further, the typical average values of the I/O ratio for naturally ventilated historical buildings were estimated. Finally, the long-term indoor concentrations, for periods when no measurement was in place, were determined using data from the local monitoring network. The results showed that the higher level of pollution and therefore the higher degree of degradation is expected in depositories located in highly polluted regions.
机译:室内空气污染档案可能导致在那里储存的材料的不可逆转降低。因此,在调查控制策略之前,有关室内空气质量的详细信息是必不可少的。在2008 - 2019年期间,在历史建筑物的四个自然通风档案中调查了室内和室外污染之间的关系,位于具有不同室外空气质量的地区。在不同的季节测量室内和室外粒子数,质量和化学尺寸分布。此外,测定空气变化率(A),渗透系数(P)和沉积速度(V-D)。结果表明,室内颗粒物质的最重要来源是室外空气。使用稳态余量方程的稳态解为I / O比来评估没有室内源的大小分辨数据。结果表明,在档案中确定的所有参数(A,P和V-D)与低季节性变化相当,可能是由于类似的建筑特性。此外,估计了天然通风历史建筑物的I / O比的典型平均值。最后,使用来自本地监测网络的数据确定无需测量时的长期室内浓度。结果表明,在高度污染的地区的存款库中,预计污染水平较高,因此预期降低程度。

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