Mohammed F.M. Abushammala

Middle East College

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Noor Ezlin Ahmad Basri

National University of Malaysia

Wajeeha A. Qazi

Middle East College

Mohammad K. Younes

Applied Science Private University

Motasem Y.D. Alazaiza

College of Applied Sciences, Nizwa

Salem S. Abu Amr

Oman Medical College

Hidayah Basri

Universiti Tenaga Nasional

Zulkifli Mohd Nopiah

National University of Malaysia

Mohammed–Hasham Azam

Middle East College

Hassan Basri

Malayan Colleges Laguna

Abdul Amir H. Kadhum

University of Karbala

Cooperative Institutions

National University of Malaysia

Middle East College

Hong Kong Polytechnic University

Argonne National Laboratory

Universiti Malaysia Pahang Al-Sultan Abdullah

A'Sharqiyah University

College of Applied Sciences, Nizwa

University of Malaya

Chinese Academy of Sciences

Universiti Teknologi MARA

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Methane Oxidation in Landfill Cover Soils: A Review

Asian Journal of Atmospheric Environment (2014)

Mohammed F.M. Abushammala Noor Ezlin Ahmad Basri Dani Irwan Mohammad K. Younes

Migration of methane ($CH_4$) gas from landfills to the surrounding environment negatively affects both humankind and the environment. It is therefore essential to develop management techniques to reduce $CH_4$ emissions from landfills to minimize global warming and to reduce the human risks associated with $CH_4$ gas migration. Oxidation of $CH_4$ in landfill cover soil is the most important strategy for $CH_4$ emissions mitigation. $CH_4$ oxidation occurs naturally in landfill cover soils due to the abundance of methanotrophic bacteria. However, the activities of these bacteria are influenced by several controlling factors. This study attempts to review the important issues associated with the $CH_4$ oxidation process in landfill cover soils. The $CH_4$ oxidation process is highly sensitive to environmental factors and cover soil properties. The comparison of various biotic system techniques indicated that each technique has unique advantages and disadvantages, and the choice of the best technique for a specific application depends on economic constraints, treatment efficiency and landfill operations.

Landfill Gas

Oxidation process

10.5572/ajae.2014.8.1.001

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Citations (51)

Highlighting Traffic Accidents on Roundabouts Using MRSS-AHP Expert System

Civil Engineering Journal (2024)

Ghassan Suleiman Mohammad K. Younes Murat Ergün Mohammed F.M. Abushammala Mohammad Aljaradin

The frequency and severity of traffic accidents are causing growing concern. This study aims to develop a tool to improve the traffic safety level on roundabouts and identify the influence of traffic operations, geometric parameters, weather, and time of day on improving roundabout traffic safety. It is the first study to evaluate the performance of the integrated Median Ranked Set Sample (MRSS) and Analytic Hierarchy Process (AHP) with statistical analysis. A hierarchy tree of accident causes has been developed using data gathered from accident reports and relevant authorities. Then, the selected stakeholders’ professionals prioritized the traffic accident causes using a MRSS and AHP. Moreover, traffic microsimulation software VISSIM was also used to extract traffic operation parameters for the analysis. Afterwards, Analysis of Variance (ANOVA) was used to validate the causes of traffic accidents. The results show that geometric design accounts for 36% of accidents at roundabouts, followed by traffic operation (22%). However, conflicting and queuing lengths are responsible for about 20% of traffic accidents. The tools developed, and the causes of accidents determined in this study will help geometric designers and city planners to take the necessary measures to minimize accidents and enhance traffic safety levels in urban areas. Doi: 10.28991/CEJ-2024-010-04-013 Full Text: PDF

Roundabout

10.28991/cej-2024-010-04-013

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Modeling of methane oxidation in landfill cover soil using an artificial neural network

Journal of the Air & Waste Management Association (2013)

Mohammed F.M. Abushammala Noor Ezlin Ahmad Basri Rahmah Elfithri Mohammad K. Younes Dani Irwan

Knowing the fraction of methane (CH4) oxidized in landfill cover soils is an important step in estimating the total CH4 emissions from any landfill. Predicting CH4 oxidation in landfill cover soils is a difficult task because it is controlled by a number of biological and environmental factors. This study proposes an artificial neural network (ANN) approach using feedforward backpropagation to predict CH4 oxidation in landfill cover soil in relation to air temperature, soil moisture content, oxygen (O2) concentration at a depth of 10 cm in cover soil, and CH4 concentration at the bottom of cover soil. The optimum ANN model giving the lowest mean square error (MSE) was configured from three layers, with 12 and 9 neurons at the first and the second hidden layers, respectively, log-sigmoid (logsig) transfer function at the hidden and output layers, and the Levenberg-Marquardt training algorithm. This study revealed that the ANN oxidation model can predict CH4 oxidation with a MSE of 0.0082, a coefficient of determination (R 2) between the measured and predicted outputs of up to 0.937, and a model efficiency (E) of 0.8978. To conclude, further developments of the proposed ANN model are required to generalize and apply the model to other landfills with different cover soil properties. Implications: To date, no attempts have been made to predict the percent of CH4 oxidation within landfill cover soils using an ANN. This paper presents modeling of CH4 oxidation in landfill cover soil using ANN based on field measurements data under tropical climate conditions in Malaysia. The proposed ANN oxidation model can be used to predict the percentage of CH4 oxidation from other landfills with similar climate conditions, cover soil texture, and other properties. The predicted value of CH4 oxidation can be used in conjunction with the Intergovernmental Panel on Climate Change (IPCC) First Order Decay (FOD) model by landfill operators to accurately estimate total CH4 emission and how much it contributes to global warming.

Landfill Gas

Backpropagation

10.1080/10962247.2013.842510

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Citations (19)

Prediction of municipal solid waste generation using nonlinear autoregressive network

Environmental Monitoring and Assessment (2015)

Mohammad K. Younes Zulkifli Mohd Nopiah Noor Ezlin Ahmad Basri Hidayah Basri Mohammed F.M. Abushammala

Distributed lag

10.1007/s10661-015-4977-5

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Citations (38)

Green Biological Transformation of Food and Yard Waste

Jurnal Teknologi (2015)

Mohammed F.M. Abushammala Noor Ezlin Ahmad Basri M.F.M. Zain Nur Fatin Mat Saad Nurul Afida Zainudin

The composting of organic waste is an alternative waste management technique that can be used to control the increase in waste generation. The objective of this study was to identify a type of effective microbes (EMs) that accelerate the composting process. The study also determined the suitability of using a KompostKu rotary composter along with additional materials such as coconut husks and Takakura EMs for composting food waste from the Universiti Kebangsaan Malaysia (UKM), and determines the economic value of the compost. In order to select the most efficient EMs, Takakura and fruit waste EMs were prepared and used during the composting of both food and yard waste using a composter barrel. Four important parameters were examined to ensure the effectiveness of the process, including temperature, moisture content, potential of hydrogen (pH), and carbon to nitrogen (C/N) ratio. The experimental results revealed that Takakura EMs were superior to the fruit waste EMs in accelerating the composting process. The use of coconut husks as an absorbing agent with Takakura EMs also accelerated the composting process, requiring approximately four weeks to fully decompose the food waste. It was estimated that the composting of food and landscape waste at the UKM could annually generate compost products worth over 30,660 Malaysian Ringgit (MYR). The use of Takakura EMs enhanced and accelerated the composting process and provided high-quality compost

Husk

Food Waste

Green waste

Mechanical biological treatment

Biodegradable waste

10.11113/jt.v73.3550

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Citations (4)

List of contributors

Elsevier eBooks (2020)

Mohammed F.M. Abushammala Pahola Thathiana Benavides Kaihan Cai Yong Chi Jun Dong

10.1016/b978-0-12-816394-8.00017-3

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Appraisal of student’s awareness and practices on waste management and recycling in the Malaysian University’s student hostel area

Journal of Material Cycles and Waste Management (2020)

Mohammed J.K. Bashir Yong Zi Jun Lee Jia Yi Mohammed F.M. Abushammala Salem S. Abu Amr

solid waste management

Consumption

10.1007/s10163-020-00988-6

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Citations (38)

The analysis of electricity production and greenhouse-gas emission reduction from municipal solid waste sector in Oman

International Journal of Environmental Science and Technology (2020)

Wajeeha A. Qazi Mohammed F.M. Abushammala

Biogas

Waste-to-Energy

Energy Recovery

10.1007/s13762-020-02871-1

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Citations (11)

Recent Advances of Nanoremediation Technologies for Soil and Groundwater Remediation: A Review

Water (2021)

Motasem Y.D. Alazaiza Ahmed Albahnasawi Gomaa A. M. Ali Mohammed J.K. Bashir Nadım K. Copty

Nanotechnology has been widely used in many fields including in soil and groundwater remediation. Nanoremediation has emerged as an effective, rapid, and efficient technology for soil and groundwater contaminated with petroleum pollutants and heavy metals. This review provides an overview of the application of nanomaterials for environmental cleanup, such as soil and groundwater remediation. Four types of nanomaterials, namely nanoscale zero-valent iron (nZVI), carbon nanotubes (CNTs), and metallic and magnetic nanoparticles (MNPs), are presented and discussed. In addition, the potential environmental risks of the nanomaterial application in soil remediation are highlighted. Moreover, this review provides insight into the combination of nanoremediation with other remediation technologies. The study demonstrates that nZVI had been widely studied for high-efficiency environmental remediation due to its high reactivity and excellent contaminant immobilization capability. CNTs have received more attention for remediation of organic and inorganic contaminants because of their unique adsorption characteristics. Environmental remediations using metal and MNPs are also favorable due to their facile magnetic separation and unique metal-ion adsorption. The modified nZVI showed less toxicity towards soil bacteria than bare nZVI; thus, modifying or coating nZVI could reduce its ecotoxicity. The combination of nanoremediation with other remediation technology is shown to be a valuable soil remediation technique as the synergetic effects may increase the sustainability of the applied process towards green technology for soil remediation.

Groundwater Remediation

Zerovalent iron

Ecotoxicity

10.3390/w13162186

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Citations (88)

Waste-to-Energy Technologies: a Literature Review

The Journal of Solid Waste Technology and Management (2018)

Wajeeha A. Qazi Mohammed F.M. Abushammala Mohammed-HashamAzam Mohammad K. Younes

Waste-to-Energy

10.5276/jswtm.2018.387

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Citations (27)