Displaying publications 61 - 80 of 476 in total

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  1. Effects of medical staff's turning movement on dispersion of airborne particles under large air supply diffuser during operative surgeries
    Wong KY, Tan H, Nyakuma BB, Kamar HM, Tey WY, Hashim H, et al.
    Environ Sci Pollut Res Int, 2022 Nov;29(54):82492-82511.
    PMID: 35751730 DOI: 10.1007/s11356-022-21579-y
    The present study examines the effect of medical staff's turning movements on particle concentration in the surgical zone and settlement on the patient under single large diffuser (SLD) ventilation. A computational domain representing the operating room (OR) was constructed using computer-aided design (CAD) software. The airflow and particle models were validated against the published data before conducting the case studies. The airflow in the OR was simulated using an RNG k-ε turbulence model, while the dispersion of the particles was simulated using a discrete phase model based on the Lagrangian approach. A user-defined function (UDF) code was written and compiled in the simulation software to describe the medical staff member's turning movements. In this study, three cases were examined: baseline, SLD 1, and SLD 2, with the air supply areas of 4.3 m2, 5.7 m2, and 15.9 m2, respectively. Results show that SLD ventilations in an OR can reduce the number of dispersed particles in the surgical zone. The particles that settled on the patient were reduced by 41% and 39% when using the SLD 1 and SLD 2 ventilations, respectively. The use of the larger air supply area of SLD 2 ventilation in the present study does not significantly reduce the particles that settle on a patient. Likewise, the use of SLD 2 ventilation may increase operating and maintenance costs.
    Matched MeSH terms: Air Microbiology; Air Movements
  2. Fulltext Long-term exposure to outdoor and household air pollution and blood pressure in the Prospective Urban and Rural Epidemiological (PURE) study
    Arku RE, Brauer M, Ahmed SH, AlHabib KF, Avezum Á, Bo J, et al.
    Environ Pollut, 2020 Jul;262:114197.
    PMID: 32146361 DOI: 10.1016/j.envpol.2020.114197
    Exposure to air pollution has been linked to elevated blood pressure (BP) and hypertension, but most research has focused on short-term (hours, days, or months) exposures at relatively low concentrations. We examined the associations between long-term (3-year average) concentrations of outdoor PM2.5 and household air pollution (HAP) from cooking with solid fuels with BP and hypertension in the Prospective Urban and Rural Epidemiology (PURE) study. Outdoor PM2.5 exposures were estimated at year of enrollment for 137,809 adults aged 35-70 years from 640 urban and rural communities in 21 countries using satellite and ground-based methods. Primary use of solid fuel for cooking was used as an indicator of HAP exposure, with analyses restricted to rural participants (n = 43,313) in 27 study centers in 10 countries. BP was measured following a standardized procedure and associations with air pollution examined with mixed-effect regression models, after adjustment for a comprehensive set of potential confounding factors. Baseline outdoor PM2.5 exposure ranged from 3 to 97 μg/m3 across study communities and was associated with an increased odds ratio (OR) of 1.04 (95% CI: 1.01, 1.07) for hypertension, per 10 μg/m3 increase in concentration. This association demonstrated non-linearity and was strongest for the fourth (PM2.5 > 62 μg/m3) compared to the first (PM2.5 
    Matched MeSH terms: Air Pollutants/analysis*; Air Pollution/analysis*; Air Pollution, Indoor/analysis*
  3. Radiological impacts of the amang processing industry on neighbouring residents
    Ismail B, Redzuwan Y, Chua RS, Shafiee W
    Appl Radiat Isot, 2001 Mar;54(3):393-7.
    PMID: 11214872
    The processing of amang (one of a number of tin-tailing products) for its valuable minerals has associated with the radiological and environmental problems. The processing and stockpiling of amang and ilmenite in open-air spaces, subject as it is to environmental influences, gives rise to a potential for affecting residents in adjacent area. A case study was carried out in a residential area neighbouring a typical amang plant to investigate the radiological impact to the residents. The average Effective Dose rates, calculated based on the contributions of Effective Dose rates from inhaled suspended radioactive dust, radon-thoron and their progeny, and external gamma radiation, were determined for selected houses. Results show that the occupants of those houses received Effective Dose rate, which cannot be differentiated from background. The major contributor to the average Effective Dose rate came from external radiation sources. Inhaled radon and its progeny was the second major contributor.
    Matched MeSH terms: Air Pollutants, Radioactive/adverse effects*; Air Pollutants, Radioactive/analysis; Air Pollution, Indoor/adverse effects; Air Pollution, Indoor/analysis
  4. Multiple linear regression and regression with time series error models in forecasting PM10 concentrations in Peninsular Malaysia
    Ng KY, Awang N
    Environ Monit Assess, 2018 Jan 06;190(2):63.
    PMID: 29306973 DOI: 10.1007/s10661-017-6419-z
    Frequent haze occurrences in Malaysia have made the management of PM10 (particulate matter with aerodynamic less than 10 μm) pollution a critical task. This requires knowledge on factors associating with PM10 variation and good forecast of PM10 concentrations. Hence, this paper demonstrates the prediction of 1-day-ahead daily average PM10 concentrations based on predictor variables including meteorological parameters and gaseous pollutants. Three different models were built. They were multiple linear regression (MLR) model with lagged predictor variables (MLR1), MLR model with lagged predictor variables and PM10 concentrations (MLR2) and regression with time series error (RTSE) model. The findings revealed that humidity, temperature, wind speed, wind direction, carbon monoxide and ozone were the main factors explaining the PM10 variation in Peninsular Malaysia. Comparison among the three models showed that MLR2 model was on a same level with RTSE model in terms of forecasting accuracy, while MLR1 model was the worst.
    Matched MeSH terms: Air Pollutants/analysis*; Air Pollution/analysis; Air Pollution/statistics & numerical data*
  5. Fulltext Indoor Particulate Matters, Microbial Count Assessments, and Wheezing Symptoms among Toddlers in Urban Day Care Centers in the District of Seremban, Malaysia
    Khamal R, Isa ZM, Sutan R, Noraini NMR, Ghazi HF
    Ann Glob Health, 2019 01 22;85(1).
    PMID: 30741516 DOI: 10.5334/aogh.2425
    INTRODUCTION: Indoor air quality in day care centers (DCCs) is an emerging research topic nowadays. Indoor air pollutants such as particulate matter (PM) and microbes have been linked to respiratory health effects in children, particularly asthma-related symptoms such as night coughs and wheezing due to early exposure to indoor air contaminants.

    OBJECTIVE: The aim of this study was to determine the association between wheezing symptoms among toddlers attending DCCs and indoor particulate matter, PM10, PM2.5, and microbial count level in urban DCCs in the District of Seremban, Malaysia.

    METHODS: Data collection was carried out at 10 DCCs located in the urban area of Seremban. Modified validated questionnaires were distributed to parents to obtain their children's health symptoms. The parameters measured were indoor PM2.5, PM10, carbon monoxide, total bacteria count, total fungus count, temperature, air velocity, and relative humidity using the National Institute for Occupational Safety and Health analytical method.

    RESULTS: All 10 DCCs investigated had at least one indoor air quality parameter exceeding the acceptable level of standard guidelines. The prevalence of toddlers having wheezing symptoms was 18.9%. There was a significant different in mean concentration of PM2.5 and total bacteria count between those with and those without wheezing symptoms (P = 0.02, P = 0.006).

    CONCLUSIONS: Urban DCCs are exposed to many air pollutants that may enter their buildings from various adjacent sources. The particle concentrations and presence of microbes in DCCs might increase the risk of exposed children for respiratory diseases, particularly asthma, in their later life.

    Matched MeSH terms: Air Microbiology/standards; Air Pollution, Indoor/analysis; Air Pollution, Indoor/prevention & control
  6. Analysis of Southeast Asian pollution episode during June 2013 using satellite remote sensing datasets
    Vadrevu KP, Lasko K, Giglio L, Justice C
    Environ Pollut, 2014 Dec;195:245-56.
    PMID: 25087199 DOI: 10.1016/j.envpol.2014.06.017
    In this study, we assess the intense pollution episode of June 2013, in Riau province, Indonesia from land clearing. We relied on satellite retrievals of aerosols and Carbon monoxide (CO) due to lack of ground measurements. We used both the yearly and daily data for aerosol optical depth (AOD), fine mode fraction (FMF), aerosol absorption optical depth (AAOD) and UV aerosol index (UVAI) for characterizing variations. We found significant enhancement in aerosols and CO during the pollution episode. Compared to mean (2008-2012) June AOD of 0.40, FMF-0.39, AAOD-0.45, UVAI-1.77 and CO of 200 ppbv, June 2013 values reached 0.8, 0.573, 0.672, 1.77 and 978 ppbv respectively. Correlations of fire counts with AAOD and UVAI were stronger compared to AOD and FMF. Results from a trajectory model suggested transport of air masses from Indonesia towards Malaysia, Singapore and southern Thailand. Our results highlight satellite-based mapping and monitoring of pollution episodes in Southeast Asia.
    Matched MeSH terms: Air Pollutants/analysis; Air Pollution/analysis; Air Pollution/statistics & numerical data*
  7. Indoor air pollution evaluation with emphasize on HDI and biological assessment of HDA in the polyurethane factories
    Mirmohammadi M, Hakimi Ibrahim M, Ahmad A, Kadir MO, Mohammadyan M, Mirashrafi SB
    Environ Monit Assess, 2010 Jun;165(1-4):341-7.
    PMID: 19444630 DOI: 10.1007/s10661-009-0950-5
    Today, many raw materials used in factories may have a dangerous effect on the physiological system of workers. One of them which is widely used in the polyurethane factories is diisocyanates. These compounds are widely used in surface coatings, polyurethane foams, adhesives, resins, elastomers, binders, and sealants. Exposure to diisocyanates causes irritation to the skin, mucous membranes, eyes, and respiratory tract. Hexamethylene diamine (HDA) is metabolite of hexamethylene diisocyanate (HDI). It is an excretory material by worker's urine who is exposed to HDI. Around 100 air samples were collected from five defined factories by midget impinger which contained dimethyl sulfoxide absorbent as a solvent and tryptamine as reagent. Samples were analyzed by high-performance liquid chromatography with EC\UV detector using NIOSH 5522 method of sampling. Also, 50 urine samples collected from workers were also analyzed using William's biological analysis method. The concentration of HDI into all air samples were more than 88 microg/m(3), and they have shown high concentration of pollutant in the workplaces in comparison with NIOSH standard, and all of the workers' urine were contaminated by HDA. The correlation and regression test were used to obtain statistical model for HDI and HDA, which is useful for the prediction of diisocyanates pollution situation in the polyurethane factories.
    Matched MeSH terms: Air Pollutants, Occupational/analysis*; Air Pollutants, Occupational/urine; Air Pollution, Indoor*
  8. Key factor in rice husk Ash/CaO sorbent for high flue gas desulfurization activity
    Dahlan I, Lee KT, Kamaruddin AH, Mohamed AR
    Environ Sci Technol, 2006 Oct 01;40(19):6032-7.
    PMID: 17051796
    Siliceous materials such as rice husk ash (RHA) have potential to be utilized as high performance sorbents for the flue gas desulfurization process in small-scale industrial boilers. This study presents findings on identifying the key factorfor high desulfurization activity in sorbents prepared from RHA. Initially, a systematic approach using central composite rotatable design was used to develop a mathematical model that correlates the sorbent preparation variables to the desulfurization activity of the sorbent. The sorbent preparation variables studied are hydration period, x1 (6-16 h), amount of RHA, x2 (5-15 g), amount of CaO, x3 (2-6 g), amount of water, x4 (90-110 mL), and hydration temperature, x5 (150-250 degrees C). The mathematical model developed was subjected to statistical tests and the model is adequate for predicting the SO2 desulfurization activity of the sorbent within the range of the sorbent preparation variables studied. Based on the model, the amount of RHA, amount of CaO, and hydration period used in the preparation step significantly influenced the desulfurization activity of the sorbent. The ratio of RHA and CaO used in the preparation mixture was also a significant factor that influenced the desulfurization activity of the sorbent. A RHA to CaO ratio of 2.5 leads to the formation of specific reactive species in the sorbent that are believed to be the key factor responsible for high desulfurization activity in the sorbent. Other physical properties of the sorbent such as pore size distribution and surface morphology were found to have insignificant influence on the desulfurization activity of the sorbent.
    Matched MeSH terms: Air Pollutants/isolation & purification*; Air Pollutants/chemistry; Air Pollution/prevention & control*
  9. Statistical analysis of PM₁₀ concentrations at different locations in Malaysia
    Sansuddin N, Ramli NA, Yahaya AS, Yusof NF, Ghazali NA, Madhoun WA
    Environ Monit Assess, 2011 Sep;180(1-4):573-88.
    PMID: 21136287 DOI: 10.1007/s10661-010-1806-8
    Malaysia has experienced several haze events since the 1980s as a consequence of the transboundary movement of air pollutants emitted from forest fires and open burning activities. Hazy episodes can result from local activities and be categorized as "localized haze". General probability distributions (i.e., gamma and log-normal) were chosen to analyze the PM(10) concentrations data at two different types of locations in Malaysia: industrial (Johor Bahru and Nilai) and residential (Kota Kinabalu and Kuantan). These areas were chosen based on their frequently high PM(10) concentration readings. The best models representing the areas were chosen based on their performance indicator values. The best distributions provided the probability of exceedances and the return period between the actual and predicted concentrations based on the threshold limit given by the Malaysian Ambient Air Quality Guidelines (24-h average of 150 μg/m(3)) for PM(10) concentrations. The short-term prediction for PM(10) exceedances in 14 days was obtained using the autoregressive model.
    Matched MeSH terms: Air Movements; Air Pollutants/analysis*; Air Pollution/statistics & numerical data*
  10. Association between P M 10 and respiratory diseases admission in peninsula Malaysia during haze
    Mohd Zulkifli SWH, Samsudin HB, Majid N
    Sci Rep, 2024 Sep 09;14(1):21030.
    PMID: 39251631 DOI: 10.1038/s41598-024-63591-x
    Numerous studies have been conducted in other countries on the health effects of exposure to particulate matter with a diameter of 10 microns or less P M 10 , but little research has been conducted in Malaysia, particularly during the haze season. This study intends to investigate how exposure of P M 10 influenced hospital admissions for respiratory diseases during the haze period in peninsula Malaysia and it was further stratified by age group, gender and respiratory diseases categories. The study includes data from all patients with respiratory diseases in 92 government hospitals, as well as P M 10 concentration and meteorological data from 92 monitoring stations in Peninsula Malaysia starting from 1st January 2000 to 31st December 2019. A quasi-poison time series regression with distributed lag nonlinear model (DLNM) was employed in this study to examine the relationship between exposure of P M 10 and hospital admissions for respiratory diseases during the haze period. Haze period for this study has been defined from June to September each year. According to the findings of this study, P M 10 was positively associated with hospitalisation of respiratory disease within 30 lag days under various lag patterns, with lag 25 showing the strongest association (RR = 1.001742, CI 1.001029,1.002456). Using median as a reference, it was discovered that females were more likely than males to be hospitalized for P M 10 exposure. Working age group will be the most affected by the increase in P M 10 exposure with a significant cumulative RR from lag 010 to lag 030. The study found that P M 10 had a significant influence on respiratory hospitalisation in peninsula Malaysia, particularly for lung diseases caused by external agents(CD5). Therefore, it is important to implement effective intervention measures to control P M 10 and reduce the burden of respiratory disease admissions.
    Matched MeSH terms: Air Pollutants/adverse effects; Air Pollutants/analysis; Air Pollution/adverse effects
  11. Fulltext Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation
    Li L, Li Q, Huang L, Wang Q, Zhu A, Xu J, et al.
    Sci Total Environ, 2020 Aug 25;732:139282.
    PMID: 32413621 DOI: 10.1016/j.scitotenv.2020.139282
    The outbreak of COVID-19 has spreaded rapidly across the world. To control the rapid dispersion of the virus, China has imposed national lockdown policies to practise social distancing. This has led to reduced human activities and hence primary air pollutant emissions, which caused improvement of air quality as a side-product. To investigate the air quality changes during the COVID-19 lockdown over the YRD Region, we apply the WRF-CAMx modelling system together with monitoring data to investigate the impact of human activity pattern changes on air quality. Results show that human activities were lowered significantly during the period: industrial operations, VKT, constructions in operation, etc. were significantly reduced, leading to lowered SO2, NOx, PM2.5 and VOCs emissions by approximately 16-26%, 29-47%, 27-46% and 37-57% during the Level I and Level II response periods respectively. These emission reduction has played a significant role in the improvement of air quality. Concentrations of PM2.5, NO2 and SO2 decreased by 31.8%, 45.1% and 20.4% during the Level I period; and 33.2%, 27.2% and 7.6% during the Level II period compared with 2019. However, ozone did not show any reduction and increased greatly. Our results also show that even during the lockdown, with primary emissions reduction of 15%-61%, the daily average PM2.5 concentrations range between 15 and 79 μg m-3, which shows that background and residual pollutions are still high. Source apportionment results indicate that the residual pollution of PM2.5 comes from industry (32.2-61.1%), mobile (3.9-8.1%), dust (2.6-7.7%), residential sources (2.1-28.5%) in YRD and 14.0-28.6% contribution from long-range transport coming from northern China. This indicates that in spite of the extreme reductions in primary emissions, it cannot fully tackle the current air pollution. Re-organisation of the energy and industrial strategy together with trans-regional joint-control for a full long-term air pollution plan need to be further taken into account.
    Matched MeSH terms: Air Pollutants; Air Pollution*
  12. Fulltext Effects of temperature, humidity, air quality and anthropic activities on the transmission of SARS-CoV-2: a systematic review protocol
    Jeevananthan C, Muhamad NA, Jaafar MH, Hod R, Ab Ghani RM, Md Isa Z, et al.
    BMJ Open, 2020 11 04;10(11):e039623.
    PMID: 33148753 DOI: 10.1136/bmjopen-2020-039623
    INTRODUCTION: The current global pandemic of the virus that emerged from Hubei province in China has caused coronavirus disease in 2019 (COVID-19), which has affected a total number of 900 036 people globally, involving 206 countries and resulted in a cumulative of 45 693 deaths worldwide as of 3 April 2020. The mode of transmission is identified through airdrops from patients' body fluids such as during sneezing, coughing and talking. However, the relative importance of environmental effects in the transmission of the virus has not been vastly studied. In addition, the role of temperature and humidity in air-borne transmission of infection is presently still unclear. This study aims to identify the effect of temperature, humidity and air quality in the transmission of SARS-CoV-2.

    METHODS AND ANALYSIS: We will systematically conduct a comprehensive literature search using various databases including PubMed, EMBASE, Scopus, CENTRAL and Google Scholar to identify potential studies. The search will be performed for any eligible articles from the earliest published articles up to latest available studies in 2020. We will include all the observational studies such as cohort case-control and cross-sectional studies that explains or measures the effects of temperature and/or humidity and/or air quality and/or anthropic activities that is associated with SARS-CoV-2. Study selection and reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and Meta-Analysis of Observational Studies in Epidemiology guideline. All data will be extracted using a standardised data extraction form and quality of the studies will be assessed using the Newcastle-Ottawa Scale guideline. Descriptive and meta-analysis will be performed using a random effect model in Review Manager File.

    ETHICS AND DISSEMINATION: No primary data will be collected, and thus no formal ethical approval is required. The results will be disseminated through a peer-reviewed publication and conference presentation.

    PROSPERO REGISTRATION NUMBER: CRD42020176756.

    Matched MeSH terms: Air Pollution*; Air Pollution, Indoor
  13. Background level of microbe in new office building
    Ahmad Sayuti Zainal Abidin, Leman, A.M., Nor Mohd Razif Noraini
    Journal of Occupational Safety and Health, 2011;8(2):25-34.
    MyJurnal
    This study was done to investigate the background level on microbiological indoor air pollutants in new constructed 8 stories buildings (2 level of Hostel facilities, 3 level of Training Room level, 2 level of Offices and 1 Exhibition Halls and Rooms) in Bandar Baru Bangi, Selangor. The offices and exhibition hall are carpeted furnished. All these spaces were using centralized air conditioning system. Airborne microbes’ concentrations were determined by using a single stage impactor (Biosampler) as per requirement of National Institute of Occupational Safety and Health NIOSH method NIOSH Manual Analytical Method MAM 0800. Mean concentration of total bacteria detected is 1351 CFU/m3 and it was found significantly higher compared to maximum exposure limit 500 CFU/m3 in office room. The mean concentration of total fungi in the office rooms is 479 CFU/m3 and it was found slightly lower compared to maximum exposure limit 500 CFU/m3. The airborne microbe levels were found slightly lower in the accommodation, training and exhibition rooms compared to office room. These findings indicate that although a new constructed building should be having a significant background level of airborne microbe (total bacteria and total fungi).
    Matched MeSH terms: Air Conditioning; Air Pollutants; Air Pollution, Indoor
  14. Fulltext Ventilation flow evaluation system for sustainable housing development
    Nur Azfahani Ahmad, Zuraihana Ahmad Zawawi, Nazhatulzalkis Jamaludin, Khairulliza Ahmad Salleh
    Jurnal Inovasi Malaysia, 2019;2(2):55-70.
    MyJurnal
    A 1984 World Health Organization (WHO) Committee report highlighted that up to 30 per cent of buildings may have to face problems related to Indoor Air Quality (IAQ). Insufficient ventilation will lead to stagnant air and can cause stuffiness in buildings. This will then leads to a bigger problem, known as the Sick Building Syndrome (SBS). It is important to note that sick building syndrome may cause various illnesses including allergies, acute respiration problem, feeling of discomfort and other psychological impacts. The “Ventilation Flow Evaluation System for Sustainable Housing Development” is a PC-based database tool developed to access and measure ventilation flow in a new or remodelled building in order to prevent or mitigate this problem. The purpose of the system is to provide resources for building designers in solving Indoor Air Quality (IAQ) issues especially related to ventilation flow based on regulations provided in Malaysian Standard (MS 1525). The system will allow readily building plan to be measured and analysed based on ventilation data collected at site, in order to allow buildings to obtain healthy and sufficient air for breathing and comfort purposes. The system will also recommend suitable layout plan in the building to meet the ventilation purposes, namely cross-ventilation and stack-effect ventilation.
    Matched MeSH terms: Air Conditioning; Air Pollution, Indoor; Air Filters
  15. An evaluation of direct measurement techniques for mercury dry deposition
    Lai SO, Huang J, Hopke PK, Holsen TM
    Sci Total Environ, 2011 Mar 1;409(7):1320-7.
    PMID: 21257194 DOI: 10.1016/j.scitotenv.2010.12.032
    In this project, several surrogate surfaces designed to directly measure Hg dry deposition were investigated. Static water surrogate surfaces (SWSS) containing deionized (DI), acidified water, or salt solutions, and a knife-edge surrogate surface (KSS) using quartz fiber filters (QFF), KCl-coated QFF and gold-coated QFF were evaluated as a means to directly measure mercury (Hg) dry deposition. The SWSS was hypothesized to collect deposited elemental mercury (Hg⁰), reactive gaseous/oxidized mercury (RGM), and mercury associated with particulate matter (Hg(p)) while the QFF, KCl-coated QFF, and gold-coated QFF on the KSS were hypothesized to collect Hg(p), RGM+Hg(p), and Hg⁰+RGM+Hg(p), respectively. The Hg flux measured by the DI water was significantly smaller than that captured by the acidified water, probably because Hg⁰ was oxidized to Hg²+ which stabilized the deposited Hg and decreased mass transfer resistance. Acidified BrCl, which efficiently oxidizes Hg⁰, captured significantly more Hg than other solutions. However, of all collection media, gold-coated QFFs captured 6 to 100 times greater Hg mass than the other surfaces, probably because there is no surface resistance for Hg⁰ deposition to gold surfaces. In addition, the Hg⁰ concentration is usually 100-1000 times higher than RGM and Hg(p). For all other media, co-located samples were not significantly different, and the combination of daytime plus nighttime results were comparable to 24-h samples, implying that Hg⁰, RGM and Hg(p) were not released after they deposited nor did the surfaces reach equilibrium with the atmosphere. Based on measured Hg ambient air concentrations and fluxes, dry deposition velocities of RGM and Hg⁰ to DI water and other surfaces were 5.6±5.4 and 0.005-0.68 cm s⁻¹ in this study, respectively. These results suggest surrogate surfaces can be used to measure Hg dry deposition; however, extrapolating the results to natural surface can be challenging.
    Matched MeSH terms: Air Movements; Air Pollutants/analysis*
  16. Fulltext Health risk assessment of PM10 exposure among school children and the proposed API level for closing the school during haze in Malaysia
    Norlen Mohamed, Lokman Hakim Sulaiman, Thahirahtul Asma Zakaria, Anis Salwa Kamarudin, Daud Abdul Rahim
    Int J Public Health Res, 2016;6(1):685-694.
    MyJurnal
    Introduction During haze, at what level should Air Pollutant Index (API) showed, public
    or private school be closed is not without controversy and is very much
    debated. Therefore, the aim of this paper is to objectively quantify the
    potential inhaled dose of PM10 associated with exposure at school and home
    microenvironments during haze. The result of the health risk assessment will
    be used to propose the API level for closing the school during haze episode.

    Methods A hypothetical haze exposure scenario was created using the breakpoints of
    PM10 concentration for calculation of API and respective inhaled dose during
    haze. To determine the potential inhaled dose, we have considered many
    factors that include time spent for specific physical intensity at school and
    home microenvironments, age-specific and physical intensity-specific
    inhalation rate (m3/min), and the indoor/outdoor ratio of PM10. To calculate
    risk quotient (RQ), the inhaled dose was compared with the health reference
    dose computed based on the concentration of PM10 in the Malaysian
    Ambient Air Quality Standard.

    Results When considering the specific exposure at each microenvironment (school
    and home), the potential inhaled dose of PM10 was substantially lower when
    school is closed for both primary and secondary school. The calculated risk
    quotient (RQ) indicates that primary school children are likely to be affected
    at slightly lower PM10 concentration (equivalent to API of 197) as compared
    to secondary school children. Short duration of high physical activity
    intensity during school breaks has contributed to a large proportion of inhaled
    dose among school children indicating the important to avoid physical
    activities during haze.

    Conclusion Based on the assessment, taking into account the uncertainty of risk
    assessment methodology, we proposed school to be closed when API reach
    190 for both primary and secondary schools. These findings and
    recommendations are only valid for naturally ventilated school and applicable
    in the context of the current API calculation system and the existing
    Recommended Air Quality Guideline values in Malaysia.
    Matched MeSH terms: Air Pollutants; Air Pollution
  17. Fulltext Indoor air quality: microbe and its relationship toward temperature, relative humidity and carbon dioxide concentration
    Shoffian Amin Jaafar, Suhaily Amran, Mohd Norhafsham Maghpor, Ahmad Sayuti Zainal, Nurzuhairah Jamil, Naemah Tajul Arus, et al.
    Journal of Occupational Safety and Health, 2015;12(1):73-80.
    MyJurnal
    Indoor air quality is a term which refers to the air quality in and around buildings and structures, in which it
    is related to the health and comfort of those who are in the building. The study aims to identify the relationship
    between environmental factors with microbe growth by investigating the concentration of airborne bacteria and
    fungi at National Institute of Occupational Safety and Health (NIOSH) and to determine whether indoor bacteria and
    fungi concentration were associated with environmental factors such as temperature relative humidity and carbon
    dioxide concentration. This research was conducted concurrently with indoor air quality sampling as per requirement
    under the Malaysian Code of Practice of Indoor Air Quality (COP IAQ). The COP IAQ requires minimum of one
    sample to be taken from each area. If an area consists of a few separated rooms, each room is sampled and measured
    independently. Also this approach was used to determine whether there is a difference of indoor bacteria and fungi
    in different microenvironments. Results show that there is a significant correlation between humidity and bacteria
    concentration and fungi concentration; and between temperature and bacteria concentration. However, there is no
    significant correlation between temperature and fungi concentration. This study has also established significant
    difference on bacteria concentration and fungi concentration between microenvironments.
    Matched MeSH terms: Air Pollution; Air Pollution, Indoor
  18. Carbon emissions from South-East Asian peatlands will increase despite emission-reduction schemes
    Wijedasa LS, Sloan S, Page SE, Clements GR, Lupascu M, Evans TA
    Glob Chang Biol, 2018 10;24(10):4598-4613.
    PMID: 29855120 DOI: 10.1111/gcb.14340
    Carbon emissions from drained peatlands converted to agriculture in South-East Asia (i.e., Peninsular Malaysia, Sumatra and Borneo) are globally significant and increasing. Here, we map the growth of South-East Asian peatland agriculture and estimate CO2 emissions due to peat drainage in relation to official land-use plans with a focus on the reducing emissions from deforestation and degradation (REDD+)-related Indonesian moratorium on granting new concession licences for industrial agriculture and logging. We find that, prior to 2010, 35% of South-East Asian peatlands had been converted to agriculture, principally by smallholder farmers (15% of original peat extent) and industrial oil palm plantations (14%). These conversions resulted in 1.46-6.43 GtCO2 of emissions between 1990 and 2010. This legacy of historical clearances on deep-peat areas will contribute 51% (4.43-11.45 GtCO2 ) of projected future peatland CO2 emissions over the period 2010-2130. In Indonesia, which hosts most of the region's peatland and where concession maps are publicly available, 70% of peatland conversion to agriculture occurred outside of known concessions for industrial plantation development, with smallholders accounting for 60% and industrial oil palm accounting for 34%. Of the remaining Indonesian peat swamp forest (PSF), 45% is not protected, and its conversion would amount to CO2 emissions equivalent to 0.7%-2.3% (5.14-14.93 Gt) of global fossil fuel and cement emissions released between 1990 and 2010. Of the peatland extent included in the moratorium, 48% was no longer forested, and of the PSF included, 40%-48% is likely to be affected by drainage impacts from agricultural areas and will emit CO2 over time. We suggest that recent legislation and policy in Indonesia could provide a means of meaningful emission reductions if focused on revised land-use planning, PSF conservation both inside and outside agricultural concessions, and the development of agricultural practices based on rehabilitating peatland hydrological function.
    Matched MeSH terms: Air Pollutants*
  19. Fulltext Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia
    Thiruchelvam L, Dass SC, Zaki R, Yahya A, Asirvadam VS
    Geospat Health, 2018 05 07;13(1):613.
    PMID: 29772882 DOI: 10.4081/gh.2018.613
    This study investigated the potential relationship between dengue cases and air quality - as measured by the Air Pollution Index (API) for five zones in the state of Selangor, Malaysia. Dengue case patterns can be learned using prediction models based on feedback (lagged terms). However, the question whether air quality affects dengue cases is still not thoroughly investigated based on such feedback models. This work developed dengue prediction models using the autoregressive integrated moving average (ARIMA) and ARIMA with an exogeneous variable (ARIMAX) time series methodologies with API as the exogeneous variable. The Box Jenkins approach based on maximum likelihood was used for analysis as it gives effective model estimates and prediction. Three stages of model comparison were carried out for each zone: first with ARIMA models without API, then ARIMAX models with API data from the API station for that zone and finally, ARIMAX models with API data from the zone and spatially neighbouring zones. Bayesian Information Criterion (BIC) gives goodness-of-fit versus parsimony comparisons between all elicited models. Our study found that ARIMA models, with the lowest BIC value, outperformed the rest in all five zones. The BIC values for the zone of Kuala Selangor were -800.66, -796.22, and -790.5229, respectively, for ARIMA only, ARIMAX with single API component and ARIMAX with API components from its zone and spatially neighbouring zones. Therefore, we concluded that API levels, either temporally for each zone or spatio- temporally based on neighbouring zones, do not have a significant effect on dengue cases.
    Matched MeSH terms: Air Pollutants/analysis*
  20. Experimental investigation of tribological characteristics and emissions with nonedible sunflower oil as a biolubricant
    Jabal MH, Abdulmunem AR, Abd HS
    J Air Waste Manag Assoc, 2019 01;69(1):109-118.
    PMID: 30215577 DOI: 10.1080/10962247.2018.1523070
    Plant (vegetable) oil has been evaluated as a substitute for mineral oil-based lubricants because of its natural and environmentally friendly characteristics. Availability of vegetable oil makes it a renewable source of bio-oils. Additionally, vegetable oil-based lubricants have shown potential for reducing hydrocarbon and carbon dioxide (CO2) emissions when utilized in internal combustion (IC) engines and industrial operations. In this study, sunflower oil was investigated to study its lubricant characteristics under different loads using the four-ball tribometer and the exhaust emissions were tested using a four-stroke, single-cylinder diesel engine. All experimental works conformed to American Society for Testing and Materials standard (ASTM D4172-B). Under low loads, sunflower oil showed adequate tribological characteristics (antifriction and antiwear) compared with petroleum oil samples. The results also demonstrated that the sunflower oil-based lubricant was more effective in reducing the emission levels of carbon monoxide (CO), CO2, and hydrocarbons under different test conditions. Therefore, sunflower oil has the potential to be used as lubricant of mating components.Implications: An experimental investigation of the characteristics of nonedible sunflower oil tribological behaviors and potential as a renewable source for biofluids alternative to the petroleum oils was carried out. The level of emissions of a four-stroke, single-cylinder diesel engine using sunflower oil as a biolubricant was evaluated.
    Matched MeSH terms: Air Pollutants/analysis*
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