Browsing by Author "Azman Azid"

Now showing 1 - 5 of 5
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    Analysis of meander evolution studies on effect from land use and climate change at the upstream reach of the Pahang River, Malaysia
    (Springer, 2015) Mohd Khairul Amri Kamarudin; Mohd Ekhwan Toriman; Mohd Hafiz Rosli; Hafizan Juahir; Nor Azlina Abdul Aziz; Azman Azid; Syahrir Farihan Mohamed Zainuddin; Wan Nor Azmin Sulaiman
    Hydrogeomorphologically, the study of river meandering provides information on the tendency of rivers to reach and form a state of equilibrium. The process of meander changes is important in order to identify the environment-related causes that occur naturally or vice versa. Sedimentation, erosion, flood, and water quality problems usually are being specifically studied, but in a broad view, changes in the platform of the river affect all the problems that occur. This article discusses the effects of the meanders evolution changes from land use and climate change in the upstream of Sungai Pahang in over 61 years from 1932 to 1993.
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    Consumption of water from ex-mining ponds in Klang Valley and Melaka, Malaysia: A health risk study
    (Elsevier, 2018) Isa Baba Koki; Kah Hin Low; Hafizan Juahir; Munirah Abdul Zali; Azman Azid; Sharifuddin Md Zain
    Evaluation of health risks due to heavy metals exposure via drinking water from ex-mining ponds in Klang Valley and Melaka has been conducted. Measurements of As, Cd, Pb, Mn, Fe, Na, Mg, Ca, and dissolved oxygen, pH, electrical conductivity, total dissolved solid, ammoniacal nitrogen, total suspended solid, biological oxygen demand were collected from 12 ex-mining ponds and 9 non-ex-mining lakes. Exploratory analysis identified As, Cd, and Pb as the most representative water quality parameters in the studied areas.
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    Prediction of the level of air pollution using principal component analysis and artificial neural network techniques: A case study in Malaysia
    (Springer, 2014) Azman Azid; Hafizan Juahir; Mohd Ekhwan Toriman; Mohd Khairul Amri Kamarudin; Ahmad Shakir Mohd Saudi; Che Noraini Che Hasnam; Nor Azlina Abdul Aziz; Fazureen Azaman; Mohd Talib Latif; Syahrir Farihan Mohamed Zainuddin; Mohamad Romizan Osman; Mohammad Yamin
    This study focused on the pattern recognition of Malaysian air quality based on the data obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters in ten monitoring stations in Malaysia for 7 years (2005-2011) were gathered. Principal component analysis (PCA) in the environmetric approach was used to identify the sources of pollution in the study locations. The combination of PCA and artificial neural networks (ANN) was developed to determine its predictive ability for the air pollutant index (API). The PCA has identified that CH4, NmHC, THC, O3, and PM10 are the most significant parameters.
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    Relationship of rainfall distribution and water level on major flood 2014 in Pahang River basin, Malaysia
    (Thai Society of Higher Education Institutes on Environment, 2017) Nur Hishaam Sulaiman; Mohd Khairul Amri Kamarudin; Mohd Ekhwan Toriman; Hafizan Juahir; Frankie Marcus Ata; Azman Azid; Noor Jima Abd Wahab; Roslan Umar; Saiful Iskandar Khalit; Mokhairi Makhtar; Amal Arfan; Uca Sideng
    Climate change gives impact on extreme hydrological events especially in extreme rainfall. This article discusses about the relationship of rainfall distribution and water level on major flood 2014 in Pahang River Basin, Malaysia in helping decision makers to flood management system. Based on DID Malaysia rainfall station, 56 stations have being use as point in this research and it is including Pahang, Terengganu, Kelantan and Perak. Data set for this study were analysed with GIS analysis using interpolation method to develop Isohyet map and XLstat statistical software for PCA and SPC analyses.
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    Spatial assessment and source identification of heavy metals pollution in surface water using several chemometric techniques
    (Elsevier, 2016) Azimah Ismail; Mohd Ekhwan Toriman; Hafizan Juahir; Sharifuddin Md Zain; Nur Liyana Abdul Habir; Ananthy Retnam; Mohd Khairul Amri Kamaruddin; Roslan Umar; Azman Azid
    This study presents the determination of the spatial variation and source identification of heavy metal pollution in surface water along the Straits of Malacca using several chemometric techniques. Clustering and discrimination of heavy metal compounds insurface water into two groups (northern and southern regions) are observed according to level of concentrations via the application of chemometric techniques.