Literature DB >> 31198825

Data on Indoor Air Quality (IAQ) in kindergartens with different surrounding activities.

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


Specifications table 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.

Data

Table 1 and Fig. 1 show the measured data of IAQ parameters. The measured data are varied between the surrounding activities. High concentration of chemical IAQ pollutants including PM10, PM2.5, PM1, CO and CO2 was observed at the residential area as compared to the institutional and industrial area. All IAQ parameters are within the acceptable limit of ICOP-IAQ 2010, except for thermal comfort parameters which are relative humidity and temperature.
Table 1

Measured data at of IAQ parameters at different surrounding activities (Median±SD).

ParametersSurrounding activities
IndustrialInstitutionalResidential
PM10 (μg/m3)0.0113 ± 0.00210.0120 ± 0.00140.0372 ± 0.0024
PM2.5 (μg/m3)0.0075 ± 0.00240.0090 ± 0.00130.0346 ± 0.0021
PM1 (μg/m3)0.0043 ± 0.00170.0070 ± 0.00150.0329 ± 0.0021
CO (ppm)0.1000 ± 0.00000.1000 ± 0.00000.1000 ± 0.0000
CO2 (ppm)539.7500 ± 10.9846534.2500 ± 16.9076650.7500 ± 29.0833
Temperature (⁰C)30.4250 ± 0.719327.4500 ± 0.288128.5250 ± 0.4245
Relative Humidity (%)71.9500 ± 2.663889.3500 ± 0.280981.9875 ± 1.5555
Wind Speed (m/s)0.2250 ± 0.01780.1700 ± 0.02380.2100 ± 0.0217
Fig. 1

Variation of IAQ parameters.

Measured data at of IAQ parameters at different surrounding activities (Median±SD). Variation of IAQ parameters. Table 2 shows the Spearman Correlation Coefficient (r) between IAQ parameters. There exists a strong significant correlation between temperature and relative humidity, RSP and temperature, RSP and relative humidity, CO2 and temperature, and CO2 and relative humidity.
Table 2

Spearman correlation coefficient (r) between IAQ parameters.

Industrial
ParameterPM10PM2.5PM1CO2TRHWS
PM101
PM2.50.636b1
PM10.463b0.762b1
CO20.026−0.190−0.2221
T−0.245−0.385a−0.378a−0.0601
RH0.2600.3470.3460.147−0.975b1
WS−0.0350.0690.264−0.063−0.378a0.389a1
Institutional
PM101
PM2.50.755b1
PM10.735b0.834b1
CO20.1870.1740.2131
T0.443a0.425a0.505b0.764b1
RH−0.307−0.275−0.384a−0.606b−0.794b1
WS−0.281−0.206−0.219−0.209−0.403a0.3061
Residential
PM101
PM2.50.2161
PM10.1060.933b1
CO20.441a−0.479b−0.499b1
T−0.563b0.2660.237−0.681b1
RH0.429a−0.552b−0.514b0.667b−0.716b1
WS0.1420.0870.0660.200−0.016−0.0281

Correlation is significant at the 0.05 level (2-tailed).

Correlation is significant at the 0.01 level (2-tailed).

Spearman correlation coefficient (r) between IAQ parameters. Correlation is significant at the 0.05 level (2-tailed). Correlation is significant at the 0.01 level (2-tailed).

Experimental design, materials, and methods

The location covers the District of Kuala Nerus, Terengganu. Area selection is determined based on the Terengganu Local Plan [2] as shown in Fig. 2. Three kindergartens were selected based on different surrounding activities which are institutional, industrial and residential area. The institutional area, TBK PGA 1(S1) is selected which is near the University Malaysia Terengganu (UMT) and University Sultan Zainal Abidin (UniSZA). The industrial area, TBK Perumahan Gong Badak (S2) was selected which is located near the Gong Badak Industrial area and lastly, residential area is represented by TBK Kemas Mutiara (S3). The sampling location together with coordinates and site category are shown in Table 3.
Fig. 2

Sampling location.

Table 3

Sampling location together with coordinate and site category.

SiteLocationCoordinatesSite category
S1TBK Kemas PGA05⁰24.244″N; 103⁰05.305″EInstitutional
S2TBK Kemas Perumahan Gong Badak05⁰23.539″N103⁰04.830″EIndustrial
S3TBK Kemas Mutiara05⁰24.704″N; 103⁰04.056″EResidential
Sampling location. Sampling location together with coordinate and site category. The data were collected for 3 days during school days for all kindergartens. Sampling duration for each kindergarten is 4 hours starting from 0800 hours to 1200 hours. The reading was taken every 1 min and for an interval of 30 minutes. Industrial Code of Practice on Indoor Air Quality (ICOP-IAQ 2010) [3] was used as a guide in running the sampling technique for chemical pollutants; Respirable Particulate Matter (RSP), Carbon Dioxide (CO2) and Carbon Monoxide (CO). Dust TraxTM DRX Aerosol Monitor 8534 was used to measure the RSP, Kanomax IAQ Model 2211 was used to measure CO and CO2, and TSI Climomaster Model 9545 was used to monitor the relative humidity, temperature and wind speed. The devices were placed at a height between 75 and 120 cm from the floor. The measured data were then tabulated in Microsoft Excel Spreadsheet 2013. The collected data was first analysed for the normality and homogeneity test. This is important to assess the characteristics of the data, either the data is categorized as parametric or non-parametric. The normality was checked by evaluating the Shapiro-Wilk values and Levene's test values [4]. The distribution of all parameters of chemical contaminants (p < 0.05) and physical parameters (p < 0.05) is non-Gaussian, thus the median is used as representative instead of the mean. Spearman correlation analysis was applied for the next step of analysing the data. The statistical analysis is deemed for the 95% confidence level [5].

Specifications table

Subject areaEnvironmental science
More specific subject areaIndoor Air Quality
Type of dataTable, figure
How data was acquiredIn-Situ Measurement using Dust TraxTM DRX Aerosol Monitor 8534, Kanomax IAQ Model 2211 and TSI Climomaster Model 9545
Data formatRaw, Analysed
Experimental factorsThe IAQ Parameters involved are Respirable Suspended Particulates (RSP), Carbon Monoxide (CO), Carbon Dioxide (CO2), Temperature, Relative Humidity and Wind Speed.
Experimental featuresThe IAQ Parameters Measurement were taken based on the Industrial Code of Practice on Indoor Air Quality (ICOP-IAQ) 2010 by Malaysian Department of Occupational Safety and Health (DOSH)
Data source locationKuala Nerus, Terengganu, Malaysia (5.3679° N, 103.0472° E)
Data accessibilityData are included in this article
Related research articleM. 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 [1]
Value of the data

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.

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