Program pemantauan memantau hubungan kepekatan dalaman zarahan PM0.5, PM1.0, PM2.5, PM5.0, PM10.0 dan TPM. Dua hospital telah dipilih dalam kajian ini. Kepekatan PM telah dikumpulkan di Hospital Parit Buntar dan Hospital Sungai Bakap. Kepekatan bahan zarahan telah dipantau di hospital yang berlainan iaitu di Perak dan Pulau Pinang. Kepekatan PM dipantau di bahagian jabatan pesakit luar sahaja. Sumber-sumber lain yang ada di sekitar lokasi pemantauan juga diambil kira. Program pemantauan telah dilancarkan pada 22 Januari 2019 sehingga 25 Januari 2019. Data pemantauan di hospital tersebut telah diambil secara berselang dengan selang 1 minit. Lighthouse Handheld 3016 – IAQ, formaldemeter dan Air Flow diletakkan bahagian jabatan pesakit luar. Data yang direkodkan menggunakan monitor spesifikasi dianalisis menggunakan perisian SPSS untuk menentukan kepekatan dan variasi dalaman bahan zarahan di hospital yang terpilih. Faktor meteorologi dianalisis menggunakan Korelasi Pearson untuk menyiasat hubungan di antara faktor meteorologi dan kepekatan bahan zarahan. Berdasarkan pembahagian analisis yang telah dilakukan, faktor meteorology seperti suhu, kelembapan relative dan kelajuan angin tidak begitu memberikan sumbangan yang kuat berdasarkan keputusan dianalisis dengan menggunakan Korelasi Pearson. Berdasarkan analisis, model bahan zarahan dan faktor meteorologi dihasilkan menggunakan regrasi linear berganda. Berdasarkan model tersebut, nilai R2 berada di dalam julat 0.3133 – 0.8874 bagi Hospital A dan 0.7604 – 0.9243 bagi Hospital B. Ini menunjukkan model tersebut lebih sesuai dengan kepekatan di Hospital B berbanding Hospital A. Jenis jenis sistem pengudaraan untuk kedua-dua hospital boleh menjejaskan kepekatan bahan zarahan dan juga sumber pencemaran untuk setiap hospital.
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The monitoring program monitored the indoor particulate matter concentrations of the PM0.5, PM1.0, PM2.5, PM5.0, PM10.0, and TPM. Two hospitals were selected in this study. Particulate matter concentrations were collected at Hospital Parit Buntar and Hospital Sungai Bakap. The concentration of all the particulate matter was monitored at the outpatient department of the hospital. Other existing possible sources around the monitoring location were considered to determine whether it will affect the concentration of particulate matters. The monitoring program was launched on January 22, 2019, until January 25, 2019. The monitoring data at the outpatient department was taken with a minute interval. Lighthouse Handheld 3016 – IAQ, formaldemeter and Air Flow were positioned at the outpatient department. The data recorded using the specification monitor were analyzed using SPSS software to determine the concentrations and variations of indoor particulate matters at selected hospitals. The meteorological parameters were analyzed using Pearson Correlation to investigate the relationships between weather parameters and particulate matter concentration. Based on the apportionment analysis, the contribution of meteorological sources such as the temperature, relative humidity, and wind speed are not really strong based on the result analyzed using Pearson Correlation. From the analysis, model particulate matter with weather parameters was created using Multiple Linear Regression (MLR). Based on the model, R2 value ranging from 0.3133 - 0.8874 for Hospital A and 0.7604 – 0.9243 for Hospital B. This shows the model fits the concentration in Hospital B better than in Hospital A. The type of ventilation system for both hospitals and also the outdoor sources can affect the concentration of particulate matter.
Study on indoor particulate matters (pm0.5, pm1.0, pm2.5, pm5.0, pm10.0 & tpm) at selected hospitals in perak and penang / Fatin Amirah Abdul Salim