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RISS 인기검색어
- 검색키워드
- 저자 : Noor Ezlin Ahmad Basri (검색결과 3 건)
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Methane Oxidation in Landfill Cover Soils: A Review
Mohammed F.M. Abushammala,Noor Ezlin Ahmad Basri,Dani Irwan,Mohammad K. Younes 한국대기환경학회 2014 Asian Journal of Atmospheric Environment (AJAE) Vol.8 No.1
Migration of methane (CH4) gas from landfills to thesurrounding environment negatively affects bothhumankind and the environment. It is thereforeessential to develop management techniques toreduce CH4 emissions from landfills to minimize globalwarming and to reduce the human risks associatedwith CH4 gas migration. Oxidation of CH4 in landfillcover soil is the most important strategy for CH4emissions mitigation. CH4 oxidation occurs naturallyin landfill cover soils due to the abundance of methanotrophicbacteria. However, the activities of thesebacteria are influenced by several controlling factors. This study attempts to review the important issuesassociated with the CH4 oxidation process in landfillcover soils. The CH4 oxidation process is highly sensitiveto environmental factors and cover soil properties. The comparison of various biotic system techniquesindicated that each technique has uniqueadvantages and disadvantages, and the choice ofthe best technique for a specific application dependson economic constraints, treatment efficiency andlandfill operations.
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Integrating approach to size and site at a sanitary landfill in Selangor state, Malaysia
Mohammad Khairi Younes,Noor Ezlin Ahmad Basri,Zulkifli Mohammad Nopiaha,Hassan Basri,Mohammed F. M. Abushammala,Khairul Nizam Abdul Maulud 대한환경공학회 2015 Environmental Engineering Research Vol.20 No.3
Solid waste production increases due to population and consumption increments. Landfill is the ultimate destination for all kinds of municipal solid waste; and is the most convenient waste disposal method in developing countries. To minimize investment and operational costs and society’s opposition towards locating landfills nearby, proper landfill sizing and siting are essential. In this study, solid waste forecasting using Autoregressive Integrating Moving Average (ARIMA) was integrated with government future plans and waste composition to estimate the required landfill area for the state of Selangor, Malaysia. Landfill siting criteria were then prioritized based on expert’s preferences. To minimize ambiguity and the uncertainty of the criteria prioritizing process, the expert’s preferences were treated using integrated Median Ranked Sample Set (MRSS) and Analytic Hierarchy Process (AHP) models. The results show that the required landfill area is 342 hectares and the environmental criteria are the most important; with a priority equal to 48%.
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Ibrahiem Abdul Razak Al-Ani,Wan Hanna Melini Wan Mohtar,Noor Ezlin Ahmad Basri,Lariyah Mohd Sidek 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.7
Construction activities combined with heavy rainfall can results in severe soil loss which eventually will be deposited into the adjacent water bodies via stormwater. The Best Management Practices (BMPs) adopted to minimise the erosion and sedimentation during construction activities are usually determined by standard guidelines and expert engineers. However, when the expertise and data are limited, knowledge-based systems have been proved as an effective alternative in making decision. A new algorithm of hybrid knowledge-based expert system and Multi-Criteria Analysis (MCA) was developed to minimise erosion and sedimentation due to stormwater in Malaysian construction sites. In this Eco-Friendly Erosion and Sediment Control (ECO-ESC) system, decision tables were developed based on the knowledge acquired from the domain experts specialised in erosion and sedimentation control and guidelines. The MCA was used to identify the best stormwater control measures based on the specific criteria and criterion’s weight. The ECO-ESC was validated in three stages: preliminary by the experts, field and statistical validations. Results of comparison have shown high correlation for recommended BMPs, sediment yield, and the water quality monitoring and proved that the ECO-ESC performs as good as the human expert in solving different problems related to the erosion and sediment control.
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