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  1. Home
  2. Browse by Author

Browsing by Author "Hafizan Juahir"

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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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    Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors
    (Elsevier, 2012) Nabeel M. Gazzaz; Mohd Kamil Yusoff; Ahmad Zaharin Aris; Hafizan Juahir; Mohammad Firuz Ramli
    This article describes design and application of feed-forward, fully-connected, three-layer perceptron neural network model for computing the water quality index (WQI)1 for Kinta River (Malaysia).
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    Chemometric application in identifying sources of organic contaminants in Langat river basin
    (Springer, 2012) Rozita Osman; Norashikin Saim; Hafizan Juahir; Md Pauzi Abdullah
    Increasing urbanization and changes in land use in Langat river basin lead to adverse impacts on the environment compartment. One of the major challenges is in identifying sources of organic contaminants. This study presented the application of selected chemometric techniques: cluster analysis (CA), discriminant analysis (DA), and principal component analysis (PCA) to classify the pollution sources in Langat river basin based on the analysis of water and sediment samples collected from 24 stations, monitored for 14 organic contaminants from polycyclic aromatic hydrocarbons (PAHs), sterols, and pesticides groups.
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    Composition of selected heavy metals in road dust from Kuala Lumpur city centre
    (Springer, 2014) Nur Mun’im Mohd Han; Mohd Talib Latif; Murnira Othman; Doreena Dominick; Noorlin Mohamad; Hafizan Juahir; Norhayati Mohd Tahir
    This study was carried out in order to determine the concentration of heavy metals, e.g., lead (Pb), cadmium (Cd), copper (Cu), zinc (Zn), iron (Fe), manganese (Mn), nickel (Ni) and chromium (Cr) in road dust in Kuala Lumpur's city centre. Samples were collected from four sampling locations, each of which had four sampling points and three replications.
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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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    Estimation of rainwater harvesting by the reflectance of the purity index of rainfall
    (Springer, 2021) Siti Nor Fazillah Abdullah; Azimah Ismail; Hafizan Juahir; Fathurrahman Lananan; Nor Muzlinda Hashim; Nadiana Ariffin; Tengku Azman Tengku Mohd
    Rainwater harvesting is an effective alternative practice, particularly within urban regions, during periods of water scarcity and dry weather. Thecollected waterr is mostly utilized for non-potable household purposes and irrigation. However, due to the increase in atmospheric pollutants, the quality of rainwater has gradually decreased. This atmospheric pollution can damage the climate, natural resources, biodiversity, and human health. In this study, the characteristics and physicochemical properties of rainfall were assessed using a qualitative approach. The three-year (2017-2019) data on rainfall in Peninsular Malaysia were analysed via multivariate techniques.
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    Extenuation of saline solutes in shallow aquifer of a small tropical island: A case study of Manukan Island, North Borneo
    (Thai Society of Higher Education Institutes on Environment, 2010) Ahmad Zaharin Aris; Mohd Harun Abdullah; Sarva Mangala Praveena; Mohd Kamil Yusoff; Hafizan Juahir
    Intensive exploitation of groundwater from Manukan Island, s aquifer has disturbed the natural equilibrium between fresh and saline water and has resulted in the increase of groundwater salinity and the hydrochemical complexities of freshwater-seawater contact. It was observed that the mixing between freshwater-seawater has created diversity in the geochemical processes of Manukan Island, s aquifer and altered the freshwater and seawater mixture away from the theoretical composition line.
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    Hydrologic response characteristics of a tropical catchment to land use changes: a case study of The Nerus catchment
    (Springer, 2015) Mohd Hafifi Mat Nazir; Wan Nor Azmin Sulaiman; Hafizan Juahir
    Hydrologic response of a catchment with the most common expression through runoff coefficient reflects a complex response of interaction between the rainfall and catchment physical properties. In this study, an attempt has been made through the mean rainfall–runoff polygon method to explore the impact of land use change on the mean monthly runoff coefficient estimated from 27 years of the hydrology and land use records of a tropical catchment located in the east coast of Peninsular Malaysia.
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    Hydrological trend analysis due to land use changes at Langat river basin
    (Thai Society of Higher Eduation Institutes on Environment, 2010) Hafizan Juahir; Sharifuddin M. Zain; Ahmad Zaharin Aris; Mohd Kamil Yusof; Mohd Armi Abu Samah; Mazlin Bin Mokhtar
    This present study was carried out to detect the spatial and temporal change (1974-2000) in hydrological trend and its relationship to land use changes in the Langat River Basin. To obtain a clear picture of the hydrological parameters during the study period, rainfall data were analyzed. With the help of GIS and non-parametric Mann-Kendall (MK) statistical test the significance of trend in hydrological and land use time series was measured.
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    Impacts of forest changes on indigenous people livelihood in Pekan district, Pahang
    (Thai Society of Higher Eduation Institutes on Environment, 2010) Rosta Harun; Azizah Sulong; Yip Hin Wai; Tengku Hanidza Ismail; Mohd Kamil Yusoff; Latifah Abdul Manaf; Hafizan Juahir
    The forest cover change in the region due to timber extraction and change of land use pattern in the region have brought certain impacts on the livelihood of indigenous people. These people who once highly depended on the forest resources are the most affected. This study was done with the purpose to reveal the importance of forest as a source of their basic need and income for indigenous people and their future generation through the lens of history and place. A qualitative study had been done on the indigenous people that live in three villages in Pekan District, Pahang. Qualitative approach using face-to-face interview was applied to gather the oral history on the impacts of forest change at their place.
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    Occurrence of pesticides in surface water, pesticides removal efficiency in drinking water treatment plant and potential health risk to consumers in Tengi River Basin, Malaysia
    (Elsevier, 2020) Nurulizani Elfikrie; Yu Bin Ho; Siti Zulfa Zaidon; Hafizan Juahir; Eugenie Sin Sing Tan
    Agricultural activities have been arising along with the use of pesticides. The use of pesticides can impact not only on vector or other pest but also able to harm human health. Pesticide may leach from the irrigation of plant into the groundwater and in surface water. These waters could be sources of drinking water in a pesticides polluted area. This study aims to determine the occurrence pesticides in surface water and pesticides removal efficiency in a conventional drinking water treatment plant (DWTP) and the potential health risk to consumers. The study was conducted in Tanjung Karang, Selangor, Malaysia.
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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.
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    Spatial assessment of air quality patterns in Malaysia using multivariate analysis
    (Elsevier, 2012) Doreena Dominick; Hafizan Juahir; Mohd Talib Latif; Sharifuddin M. Zain; Ahmad Zaharin Aris
    This study aims to investigate possible sources of air pollutants and the spatial patterns within the eight selected Malaysian air monitoring stations based on a two-year database (2008-2009). The multivariate analysis was applied on the dataset. It incorporated Hierarchical Agglomerative Cluster Analysis (HACA) to access the spatial patterns, Principal Component Analysis (PCA) to determine the major sources of the air pollution and Multiple Linear Regression (MLR) to assess the percentage contribution of each air pollutant. The HACA results grouped the eight monitoring stations into three different clusters, based on the characteristics of the air pollutants and meteorological parameters.
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    Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques
    (Springer, 2011) Hafizan Juahir; Sharifuddin M. Zain; Mohd Kamil Yusoff; T. I. Tengku Hanidza; A. S. Mohd Armi; Mohd Ekhwan Toriman; Mazlin Mokhtar
    This study investigates the spatial water quality pattern of seven stations located along the main Langat River. Environmetric methods, namely, the hierarchical agglomerative cluster analysis (HACA), the discriminant analysis (DA), the principal component analysis (PCA), and the factor analysis (FA), were used to study the spatial variations of the most significant water quality variables and to determine the origin of pollution sources.
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    Tracing sewage contamination based on sterols and stanols markers within the mainland aquatic ecosystem: a case study of Linggi catchment, Malaysia
    (Springer, 2021) Munirah Abdul Zali; Hafizan Juahir; Azimah Ismail; Ananthy Retnam; Azrul Normi Idris; Anuar Sefie; Ismail Tawnie; Syaiful Bahren Saadudin; Masni Mohd Ali
    Sewage contamination is a principal concern in water quality management as pathogens in sewage can cause diseases and lead to detrimental health effects in humans. This study examines the distribution of seven sterol compounds, namely coprostanol, epi-coprostanol, cholesterol, cholestanol, stigmasterol, campesterol, and β-sitosterol in filtered and particulate phases of sewage treatment plants (STPs), groundwater, and river water.
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    Variation of surface ozone exceedance around Klang Valley, Malaysia
    (Elsevier, 2014) Fatimah Ahamad; Mohd Talib Latif; Rosy Tang; Liew Juneng; Doreena Dominick; Hafizan Juahir
    The total hourly surface ozone (O3) exceedance from the 100 ppbv hourly O3 standard set by the Department of Environment Malaysia (DOE) was analysed, as elevated O3 concentrations pose health risks to humans and harms vegetation. Air quality data from 2008 to 2010 were obtained from a total of seven stations located around the west coast of Peninsular Malaysia.
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    Water quality modelling using artificial neural network and multivariate statistical techniques
    (Springer, 2018) Hamza Ahmad Isiyaka; Adamu Mustapha; Hafizan Juahir; Philip Phil-Eze
    This study investigates and proposes a reduction in the number of water quality monitoring stations, parameters and develops the best input combination for water quality modelling using artificial neural network and multivariate statistical technique.

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