Dataset Supporting the t/Q-Based Evaluation of Ventilation Performance in a Hospital Isolation Room

This study tests the hypothesis that airborne microbial concentration in a hospital isolation room is better explained by the exposure normalized ventilation metric (t/Q ratio) and local airflow velocity fields than by air change rate (ACH) alone. Specifically, we hypothesize that lower t/Q values and higher local airflow velocities correspond to reduced microbial loads.

The isolation room geometry.csv file contains measurements of room dimensions, ventilation layout, air velocities, and pressure differentials. These values represent both the boundary conditions and validation points for the CFD model.
The microbial data.csv file contains colony forming unit (CFU/m³) counts obtained from settle plate sampling at the same spatial coordinates used for airflow measurements. The dataset includes t/Q calculations and allows correlation between microbial load, local velocity, and ventilation performance.

The data show that sampling points with low t/Q values consistently have lower microbial loads, supporting the hypothesized inverse relationship. In contrast, areas with very low airflow velocities (<0.025 m/s) show elevated CFU levels even when the overall room ventilation meets or exceeds 18 ACH. This indicates that aggregate ACH can mask localized ventilation inefficiencies.

The geometry and ventilation dataset should be used to understand airflow distribution and identify regions of stagnant air. The microbial dataset enables direct comparison of CFD predicted airflow behaviour with real microbial deposition. Researchers can use these files to reproduce the CFD model, evaluate t/Q ratios, or compare alternative ventilation configurations. Together, the datasets provide a basis for analysing how local airflow patterns influence airborne contamination risk in isolation room environments.

本研究旨在验证如下假说：相较于仅以空气换气次数（air change rate, ACH）作为评价指标，采用暴露归一化通风参数（t/Q比值）与局部气流速度场，能够更好地解释医院隔离病房内的空气微生物浓度。具体而言，本研究提出假说：更低的t/Q比值与更高的局部气流速度，对应着更低的微生物载量。

《隔离病房几何参数.csv》文件包含病房尺寸、通风布局、气流速度以及压差的实测数据。这些数据既可作为计算流体动力学（Computational Fluid Dynamics, CFD）模型的边界条件，也可用于该模型的验证点集。

《微生物数据.csv》文件包含通过沉降板采样获得的菌落形成单位（colony forming unit, CFU/m³）计数结果，采样空间坐标与气流速度测量的坐标完全一致。本数据集包含t/Q比值的计算结果，可用于关联微生物载量、局部气流速度与通风性能三者之间的关系。

实测数据显示，t/Q比值较低的采样点始终对应更低的微生物载量，这验证了本研究提出的负相关假说。与之相反，即便病房整体通风满足或超过18次空气换气（ACH），局部气流速度极低（<0.025 m/s）的区域仍会出现菌落形成单位浓度升高的情况。这表明，仅采用整体换气次数无法反映局部通风低效的问题。

本几何与通风数据集可用于分析气流分布规律，识别滞流区域。微生物数据集则可实现计算流体动力学模型预测的气流行为与实际微生物沉降情况的直接对比。研究人员可通过上述文件复现计算流体动力学模型、计算t/Q比值，或对比不同的通风配置方案。两套数据集共同为分析隔离病房环境中局部气流模式如何影响空气传播污染风险提供了研究基础。