| Literature DB >> 31198825 |
Samsuri Abdullah1,2, Farah Fasihah Abd Hamid1, Marzuki Ismail2,3, Ali Najah Ahmed4,5, Wan Nurdiyana Wan Mansor1,2.
Abstract
The aim of the measurement of this data is to evaluate the Indoor Air Quality (IAQ) in terms of chemical and physical parameters. Data were collected at three different kindergartens having different surrounding activities (industrial, institutional, residential area). The chemical parameters measured were respirable suspended particulates of PM10, PM2.5, PM1, carbon monoxide and carbon dioxide, and the concentrations are within the acceptable limit. Physical parameters of wind speed are within the standard, while temperature and relative humidity exceeded the acceptable limit. A strong correlation was found between the chemical IAQ parameters with thermal comfort parameters (temperature and relative humidity). The concentration of IAQ pollutants is higher in order of residential > institutional > industrial.Entities:
Keywords: Indoor air quality; Kindergarten; Residential; Temperature; Thermal comfort
Year: 2019 PMID: 31198825 PMCID: PMC6556546 DOI: 10.1016/j.dib.2019.103969
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Measured data at of IAQ parameters at different surrounding activities (Median±SD).
| Parameters | Surrounding activities | ||
|---|---|---|---|
| Industrial | Institutional | Residential | |
| PM10 (μg/m3) | 0.0113 ± 0.0021 | 0.0120 ± 0.0014 | 0.0372 ± 0.0024 |
| PM2.5 (μg/m3) | 0.0075 ± 0.0024 | 0.0090 ± 0.0013 | 0.0346 ± 0.0021 |
| PM1 (μg/m3) | 0.0043 ± 0.0017 | 0.0070 ± 0.0015 | 0.0329 ± 0.0021 |
| CO (ppm) | 0.1000 ± 0.0000 | 0.1000 ± 0.0000 | 0.1000 ± 0.0000 |
| CO2 (ppm) | 539.7500 ± 10.9846 | 534.2500 ± 16.9076 | 650.7500 ± 29.0833 |
| Temperature (⁰C) | 30.4250 ± 0.7193 | 27.4500 ± 0.2881 | 28.5250 ± 0.4245 |
| Relative Humidity (%) | 71.9500 ± 2.6638 | 89.3500 ± 0.2809 | 81.9875 ± 1.5555 |
| Wind Speed (m/s) | 0.2250 ± 0.0178 | 0.1700 ± 0.0238 | 0.2100 ± 0.0217 |
Fig. 1Variation of IAQ parameters.
Spearman correlation coefficient (r) between IAQ parameters.
| Industrial | |||||||
|---|---|---|---|---|---|---|---|
| Parameter | PM10 | PM2.5 | PM1 | CO2 | T | RH | WS |
| PM10 | 1 | ||||||
| PM2.5 | 0.636 | 1 | |||||
| PM1 | 0.463 | 0.762 | 1 | ||||
| CO2 | 0.026 | −0.190 | −0.222 | 1 | |||
| T | −0.245 | −0.385 | −0.378 | −0.060 | 1 | ||
| RH | 0.260 | 0.347 | 0.346 | 0.147 | −0.975 | 1 | |
| WS | −0.035 | 0.069 | 0.264 | −0.063 | −0.378 | 0.389 | 1 |
| Institutional | |||||||
| PM10 | 1 | ||||||
| PM2.5 | 0.755 | 1 | |||||
| PM1 | 0.735 | 0.834 | 1 | ||||
| CO2 | 0.187 | 0.174 | 0.213 | 1 | |||
| T | 0.443 | 0.425 | 0.505 | 0.764 | 1 | ||
| RH | −0.307 | −0.275 | −0.384 | −0.606 | −0.794 | 1 | |
| WS | −0.281 | −0.206 | −0.219 | −0.209 | −0.403 | 0.306 | 1 |
| Residential | |||||||
| PM10 | 1 | ||||||
| PM2.5 | 0.216 | 1 | |||||
| PM1 | 0.106 | 0.933 | 1 | ||||
| CO2 | 0.441 | −0.479 | −0.499 | 1 | |||
| T | −0.563 | 0.266 | 0.237 | −0.681 | 1 | ||
| RH | 0.429 | −0.552 | −0.514 | 0.667 | −0.716 | 1 | |
| WS | 0.142 | 0.087 | 0.066 | 0.200 | −0.016 | −0.028 | 1 |
Correlation is significant at the 0.05 level (2-tailed).
Correlation is significant at the 0.01 level (2-tailed).
Fig. 2Sampling location.
Sampling location together with coordinate and site category.
| Site | Location | Coordinates | Site category |
|---|---|---|---|
| S1 | TBK Kemas PGA | 05⁰24.244″N; 103⁰05.305″E | Institutional |
| S2 | TBK Kemas Perumahan Gong Badak | 05⁰23.539″N | Industrial |
| S3 | TBK Kemas Mutiara | 05⁰24.704″N; 103⁰04.056″E | Residential |
Specifications table
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| Related research article | M. Elbayoumi, N. A. Ramli, N. F. F. M. Yusof, A. S. Yahaya, W. A. Madhoun, A. Z. Ul-Saufie, Multivariate methods for indoor PM10 and PM2.5 modelling in naturally ventilated schools buildings, Atmos. Environ., 94, 2014, 11–21 |
The dataset acquired in this study reveals the variability of indoor pollutants in kindergartens at different surrounding activities of residential, industrial and institutional. The evaluated pollutants are compared with standard in determining the IAQ status. The dataset will give a deep inside information on the fate of pollutants in indoor environment. The information composed in this article can be used as a basis for the health risk assessment on kindergarten children. |