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Articles by Mohd Talib Latif
Total Records ( 4 ) for Mohd Talib Latif
  Aida Shafawati Ismail , Mohd Talib Latif , Siti Zawiyah Azmi , Liew Juneng and Abdul Aziz Jemain
  Problem statement: Variations of ozone (O3) concentrations in the Eastern Coastal Region of the Malaysia peninsula were investigated using data obtained from the Malaysian Department of the Environment. The aim of this study was to determine the monthly and seasonal variations of ozone concentrations at all monitoring sites. This study deals with the air quality data recorded at four air quality monitoring stations in the East Coast of the Malaysian peninsula over a ten year period (1997-2006). Approach: We focused on the usage of S-Plus and SPSS to analyze this data. The S-Plus programming was used to impute missing data and SPSS was used to obtain the variations of ozone and also to clarify the relationship between stations. Results: Over the entire 10 year period (1997-2006), the trend in annual baseline ozone generally increased each year for all the four monitoring sites. There was also a seasonal variability in the measured ozone levels with high concentrations during the southwest monsoon and the northeast monsoon season, producing a significant increase in the amplitude of the seasonal cycle. The results also shown that the highest ozone concentrations were recorded at the Bukit Kuang air monitoring station (S1), with a daily mean value of 19 ppb followed by the Indera Mahkota air monitoring station (S2). The concentration of ozone recorded at Kota Bharu (S3) and Kuala Terengganu (S4), two stations located in the city centre, was found to be lower than the values recorded at Bukit Kuang and Indera Mahkota. The correlation between O3 and NO is high at Kuala Terengganu (S4) (ρ = -0.579), whilst the relationship between O3 and NO2 are high (ρ = -0.397) at Indera Mahkota (S2). Conclusion: The concentration of ozone in the East Coast of Malaysian peninsula depends on the concentration of NOx and seasonal meteorological factors.
  Asmida Ismail , Nordiana Bakti Mohd Yusoff , Sarah Diyana Mohd Sakia , Ihsan Alwia , Mohd Nizam Mohd Saidb , Mohd Talib Latif , Ahmad Ismail , Faezah Buyong , Siti Aisyah Razli and Amyrul Rafiq Zulkifli
  Some microalgal species are known to be able to tolerate the presence of atmospheric pollutants. However, this is at the expense of other species. Some species are pollutant tolerant while others are pollutant intolerant. Thus, this study is conducted to understand the relationship between Carbon monoxide (CO) and epiphytic terrestrial algae. The samples of algae was collected from four sites namely Rawang and Pelabuhan Kelang to represent the urban area while Kuala Selangor and Port Dickson represent the rural area. All sites sustained approximately > 10 species of algae. For data feasibility, only algae with density of more than 30×104 cells per cm2 are being counted. Results showed that the urban area recorded slightly higher species richness (4 species) compared to the rural area (3 species). The urban sites which recorded higher concentration of carbon monoxide (11 μ gm–3) compared to the rural sites (2 μ gm–3), support the growth of Desmococcus olivaceus up to 6-fold with algal density of 12390×104 cells/cm2. In the rural area, Desmococcus olivaceus also dominating the area with much lower density at 2985×104cell/cm2. Another algal species that inhabit the urban site is Trebouxia arboricola which also recorded high density at 12120×104cells per cm2. Jaccard Similarity Index showed only 40% similarity between sites of low and high CO concentration. The cosmopolitan species in this study is Trentepohlia umbrina. However, the density of this species belongs to the lower range compared to other species at only 30×104 cell/cm2. The results also showed that the concentration of carbon monoxide and algal density are positively correlated. Carbon monoxide showed a strong positive correlation (R = 0.901). This research concludes that the urban area which contained higher CO ultimately increase the density of algae compared to the rural area.
  A.O. Alabi , M.E. Toriman , Mushrifah Idris , M. Shuhaimi-Othman , Nor Rohaizah Jamil , S.A. Sharifah Mastura , Mohd Talib Latif , Muhammad Shafiq Ruslan , Nur Amelia Abas , Nor Azlina Abdul Aziz and Lee Qiao Yun
  Predictive modeling of water quality is increasingly becoming a crucial aspect of water resources management as water quality models not only provide an explanation for the transport and transformations of key water quality components but also provide a platform for useful scenario evaluation and testing. Likewise, the use of Geographical Information System (GIS) to support or aid predictive modeling further underlines the versatility and usefulness of GIS as a tool. In this study, a water quality model has been established to simulate parametric concentrations in a natural lake system. The utilization of GIS in the modeling process is described and the benefits highlighted. Among other practical applications, GIS significantly aided model input generation and output display. Output spatial visualization facilitated by GIS, enabled a clearer presentation of spatial variation and progression of water quality components within the lake. This is significant for water resources management purposes as it makes analysis on a spatial and temporal scale easier and also enhances the geographical linkage between pollution sources and areas of impact.
  Siti Humaira Haron , B.S. Ismail and Mohd Talib Latif
  A study was conducted to determine the most common insecticides found in the total suspended particulate and rainwater, in an agricultural area in Kedah, Malaysia where insecticides such as endosulfan, chlorpyrifos and cypermethrin were commonly used. The samples of total suspended particulate and rain water were collected using a High Volume Sampler (HVS) equipped with fiber glass filter and glass bottles respectively, for a specific period (September 2010-March 2011) at four different sampling sites within the agricultural area in Kedah. The composition of the insecticides (cypermethrin, endosulfan and chlorpyrifos) in both suspended particulate and rain water samples were determined by a Gas Chromatograph (GC) equipped with a micro electron capture detector (μ-ECD) after extraction with acetone and toluene (9:1). Results showed that chlorpyrifos was recorded as having the highest concentration in the suspended particulate matter (543.6 pg m-3) and cypermethrin, the highest concentration in rain water. The concentrations of the insecticides showed seasonal dependence based on the application periods. This study also indicated that basic training on precautionary measures and correct usage and handing of insecticides should be undertaken by the Muda Agricultural Development Authority to ensure that the level of insecticidal residues in the air and rain water of the agricultural area remained safe.
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