Browsing by Author "Ahmad Makmom Abdullah"

Now showing 1 - 7 of 7
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    Air quality in Malaysia: Impacts, management issues and future challenges
    (Wiley-Blackwell Publishing Ltd, 2001) Muhamad Bin Awang; Abu Bakar Jaafar; Ahmad Makmom Abdullah; Marzuki Bin Ismail; Mohd Nasir Hassan; Ramdzaini Abdullah; Shamsuddin Johan; Hamdan Noor
    Observations have been made on the long-term trends of major air pollutants in Malaysia including nitrogen dioxide, carbon monoxide, the ozone and total suspended particulate matter (particularly PM10), and sulfur dioxide, emitted from industrial and urban areas from early 1970s until late 1998. The data show that the status of atmospheric environment in Malaysia, in particular in highly industrialized areas such as Klang Valley, was determined both by local and transboundary emissions and could be described as haze and non-haze periods.
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    Evaluation of aerosol optical thickness over Malaysia based on multi-score ground and satellite data
    (Universiti Pertanian Malaysia Press, 2019) Khaled Ali Ahmed Ben Youssef; Ahmad Makmom Abdullah; Helmi Zuhaidi Mohd Shafri; Zulfa Hanan Ash'aari
    This study evaluates the spatiotemporal distribution of aerosol optical thickness (AOT) over Malaysia. The significance of aerosols in regional and global climate change assessment has become a pressing topic in recent climate discussions. Two different approaches are used in measuring AOT; satellite imagery and ground measurement approaches.However, the satellite approach is deemed the best way for monitoring the patterns and transport of aerosols largely due to its extensive spatial coverage and reliable repetitive measurements. The data in this study were obtained from a Sea-viewing Wide Field-of-view Sensor (SeaWiFS), a Multi-angle Imaging Spectroradiometer (MISR), and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensors based on a NASA-operated Giovanni portal. Ground-based Aerosol Robotic Network (AERONET) datasets from two sites over the study area were also used.
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    Extreme heat vulnerability assessment in tropical region: a case study in Malaysia
    (Taylor and Francis Ltd., 2022) Nurfatin Izzati Ahmad Kamal; Zulfa Hanan Ash'aari; Ahmad Makmom Abdullah; Faradiella Mohd Kusin; Ferdaus Mohamat Yusuff; Amir Hamzah Sharaai; Farrah Melissa Muharam & Noor Afiza Mohd Ariffin
    In this study, the extreme heat vulnerability index (EHVI) has been evaluated to identify the most vulnerable districts to extreme heat events. We evaluated exposure, population sensitivity and adaptive capacity from sociodemographic and remote sensing data.
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    Impact of regional haze towards air quality in Malaysia: A review
    (Elsevier, 2018) Mohd Talib Latif; Murnira Othman; Nurfathehah Idris; Liew Juneng; Ahmad Makmom Abdullah; Wan Portia Hamzah; Md Firoz Khan; Nik Meriam Nik Sulaiman; Jegalakshimi Jewaratnam; Nasrin Aghamohammadi; Mazrura Sahani; Chung Jing Xiang; Fatimah Ahamad; Norhaniza Amil; Mashitah Darus; Helena Varkkey; Fredolin Tangang; Abu Bakar Jaafar
    Haze is a common phenomenon afflicting Southeast Asia (SEA), including Malaysia, and has occurred almost every year within the last few decades. Haze is associated with high level of air pollutants; it reduces visibility and affects human health in the affected SEA countries. This manuscript aims to review the potential origin, chemical compositions, impacts and mitigation strategies of haze in Malaysia.
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    PM10 distribution using remotely sensed data and GIS techniques; Klang Valley, Malaysia
    (Thai Society of Higher Eduation Institutes on Environment, 2011) Jamil Amanollahi; Ahmad Makmom Abdullah; Raheleh Farzanmanesh; Mohammad Firuz Ramli; Saeid Pirasteh
    Remote sensing and GIS have been increasingly used for air pollution monitoring in past decade. In this study the distribution pf PM10 were measured at eight air quality monitoring stations in Klang Valley. The attempt was carried out in GIS environmenta. The data are belonging to the beginning of the week-Monday-and weekend-Saturday-. Aerosol optical thickness (AOT) values retrieved from Moderate Resolution Imaging Spectroradionmeter (MODIS) were interpolated in GIS for comparison with ground station PM10 data.The validation between AOT and amount of PM10 in the atmosphere were analyzed using non-linear correlation coefficient (NLCC) for 2004.
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    The Development of Air Quality Indices Using AOD-Retrieved Images during Haze Events in Peninsular Malaysia
    (IOP Publishing, 2019) Khaled Ali Ahmed Ben Youssef; Ahmad Makmom Abdullah; Helmi Zulhaidi Mohd Shafri; Zulfa Hanan Ashaari
    Advances in satellite sensors provide new datasets to assist in the observation of air quality at urban and local scales. Quantitative Aerosol Optical Depth (AOD) and qualitative true colour image data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite have been widely used to assess air quality.In this study, both 3 km and 10 km MODIS aerosol products were used to provide an overview of the state of fine particulate matter (PM2.5) and coarse particulate matter (PM10) during haze episodes over Peninsular Malaysia covering the period 21 to 26 June 2013.
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    The effects of improved land use on the meteorological modeling in Klang Valley region Malaysia
    (Thai Society of Higher Eduation Institutes on Environment, 2010) Loi Kok Chng; Ahmad Makmom Abdullah; Wan Nor Azmin Sulaiman; Mohammad Firuz Ramli
    It has been widely known that changes of the land surface from vegetation area to urban area can substantially affect the surrounding meteorological condition. Meteorological model was used to assess meteorological condition for air quality modeling and forecasting. Inputs used in this study for the meteorological and air quality model were land use and land cover of the terrain. This study tends to examine the sensitivity of land use and land cover on the predicted meteorological conditions. A meteorological simulation using fifth generation mesoscale model (MM5) by Penn State/NCAR was used to compare the effects of land use from two different years on meteorological condition.