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Amin Yousefi-Sahzabi
Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

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Article
Published: 14 August 2019 in Environmental Monitoring and Assessment
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This study aims to determine a baseline for natural soil carbon dioxide (CO2) flux at the surface based on long-term field measurements, with the ultimate purpose to detect the gas leakage at CO2 geological storage sites. CO2 surface monitoring is a tool that measures the safety and effectiveness of CO2 capture and storage (CCS), a technology which is believed to be a reliable approach to mitigate the CO2 emission. However, the fluctuations of naturally occurring CO2 in soil layers complicate the leakage detection as the soil connects both the underground layers and the atmosphere. In this regard, this study not only investigates the natural surface CO2 flux behavior but also develops an equation to estimate the surface CO2 flux with respect to the soil moisture content and temperature. To meet this end, two values within the CO2 flux equation were defined and calculated based on the field measurements; a, representing a water saturation–dependent value, and b, representing the temperature sensitivity (independent of the water saturation). The results show a good agreement between estimated and measured data. Upon which, the maximum baseline for surface CO2 flux was derived and used as a threshold to detect the potential CO2 leakage in the candidate field (INAS, Japan).

ACS Style

Salmawati Salmawati; Kyuro Sasaki; Yuichi Sugai; Amin Yousefi-Sahzabi. Estimating a baseline of soil CO2 flux at CO2 geological storage sites. Environmental Monitoring and Assessment 2019, 191, 1 -12.

AMA Style

Salmawati Salmawati, Kyuro Sasaki, Yuichi Sugai, Amin Yousefi-Sahzabi. Estimating a baseline of soil CO2 flux at CO2 geological storage sites. Environmental Monitoring and Assessment. 2019; 191 (9):1-12.

Chicago/Turabian Style

Salmawati Salmawati; Kyuro Sasaki; Yuichi Sugai; Amin Yousefi-Sahzabi. 2019. "Estimating a baseline of soil CO2 flux at CO2 geological storage sites." Environmental Monitoring and Assessment 191, no. 9: 1-12.

Journal article
Published: 25 June 2018 in Energies
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Selection of suitable sites for solar power plants requires spatial evaluation taking technical, economic, and environmental considerations into account. This research has applied a fuzzy logic model to carry out spatial site selection for solar power plants in Markazi Province of Iran. Geographical Information System (GIS) capabilities have been used for spatial analysis and visualization of the research results. The suitable areas for solar power plants installation were identified by employing Boolean logic and defining a range of selection criteria all of which were evaluated by fuzzy functions. The raster layers of Boolean and fuzzy logic have been combined to come up with suitable sites with solar energy potential. The results identified some areas in the vicinity of Mahalat and Zarandineh cities as suitable for solar energy utilization. The research also validated the employed combined method as a suitable site selection approach for solar power plants.

ACS Style

Hossein Yousefi; Hamed Hafeznia; Amin Yousefi-Sahzabi. Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran. Energies 2018, 11, 1648 .

AMA Style

Hossein Yousefi, Hamed Hafeznia, Amin Yousefi-Sahzabi. Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran. Energies. 2018; 11 (7):1648.

Chicago/Turabian Style

Hossein Yousefi; Hamed Hafeznia; Amin Yousefi-Sahzabi. 2018. "Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran." Energies 11, no. 7: 1648.

Journal article
Published: 08 April 2018 in Sustainability
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Sustainable waste management, particularly in industrial areas, is one of the major challenges of developing countries. Among the important issues in the overall process of industrial wastes management is the necessity of suitable site selection for waste disposal. Considering the effects that the disposal sites exert on their surrounding ecosystem and environment, these sites should be located in places with the minimum destructive effects and the lowest environmental impacts. The aim of this research is to outline important criteria for industrial zone waste disposal site selection and to select optimal and proper disposal sites in the Salafchegan special economic zone. This region, as one of the most important industrial areas and closest to the country’s political–economic center, enjoys a privileged and unique position for producing, exporting, and transiting goods and products. There are various parameters involved in the optimal selection of suitable industrial waste disposal sites. In this case study, issues such as the depth of groundwater, distance from surface- and groundwater, access routes, residential areas, industries, power transmission lines, flood-proneness, faults, slope, and distance from gardens and agricultural lands were taken into account. Following selection and preparation of the maps related to the influential parameters, assigning weights was done through the Analytical Hierarchy Process (AHP) and using expert comments. At this stage, the maps and weights related to them were introduced into an index overlay model to obtain new maps from combining the influential parameters. Thereafter, the areas with the first and second priorities were selected and out of each one, four sites were suggested for disposing of industrial wastes. The sites with the first and second priorities were specified as A1, A2, A3, and A4 and B1, B2, B3, and B4, respectively. The area, groundwater depth, distance from residential areas, distance from the Salafchegan special economic zone, the direction of the predominant wind, and the land use of the selected sites were also investigated.

ACS Style

Hossein Yousefi; Zahra Javadzadeh; Younes Noorollahi; Amin Yousefi-Sahzabi. Landfill Site Selection Using a Multi-Criteria Decision-Making Method: A Case Study of the Salafcheghan Special Economic Zone, Iran. Sustainability 2018, 10, 1107 .

AMA Style

Hossein Yousefi, Zahra Javadzadeh, Younes Noorollahi, Amin Yousefi-Sahzabi. Landfill Site Selection Using a Multi-Criteria Decision-Making Method: A Case Study of the Salafcheghan Special Economic Zone, Iran. Sustainability. 2018; 10 (4):1107.

Chicago/Turabian Style

Hossein Yousefi; Zahra Javadzadeh; Younes Noorollahi; Amin Yousefi-Sahzabi. 2018. "Landfill Site Selection Using a Multi-Criteria Decision-Making Method: A Case Study of the Salafcheghan Special Economic Zone, Iran." Sustainability 10, no. 4: 1107.

Journal article
Published: 01 February 2017 in Renewable and Sustainable Energy Reviews
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ACS Style

Amin Yousefi-Sahzabi; Eda Unlu-Yucesoy; Kyuro Sasaki; Hossein Yuosefi; Arif Widiatmojo; Yuichi Sugai. Turkish challenges for low-carbon society: Current status, government policies and social acceptance. Renewable and Sustainable Energy Reviews 2017, 68, 596 -608.

AMA Style

Amin Yousefi-Sahzabi, Eda Unlu-Yucesoy, Kyuro Sasaki, Hossein Yuosefi, Arif Widiatmojo, Yuichi Sugai. Turkish challenges for low-carbon society: Current status, government policies and social acceptance. Renewable and Sustainable Energy Reviews. 2017; 68 ():596-608.

Chicago/Turabian Style

Amin Yousefi-Sahzabi; Eda Unlu-Yucesoy; Kyuro Sasaki; Hossein Yuosefi; Arif Widiatmojo; Yuichi Sugai. 2017. "Turkish challenges for low-carbon society: Current status, government policies and social acceptance." Renewable and Sustainable Energy Reviews 68, no. : 596-608.

Journal article
Published: 01 December 2016 in Journal of Unconventional Oil and Gas Resources
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ACS Style

Ibrahim Al Hadabi; Kyuro Sasaki; Yuichi Sugai; Amin Yousefi-Sahzabi. Steam trap control valve for enhancing steam flood performance in an Omani heterogeneous heavy oil field. Journal of Unconventional Oil and Gas Resources 2016, 16, 113 -121.

AMA Style

Ibrahim Al Hadabi, Kyuro Sasaki, Yuichi Sugai, Amin Yousefi-Sahzabi. Steam trap control valve for enhancing steam flood performance in an Omani heterogeneous heavy oil field. Journal of Unconventional Oil and Gas Resources. 2016; 16 ():113-121.

Chicago/Turabian Style

Ibrahim Al Hadabi; Kyuro Sasaki; Yuichi Sugai; Amin Yousefi-Sahzabi. 2016. "Steam trap control valve for enhancing steam flood performance in an Omani heterogeneous heavy oil field." Journal of Unconventional Oil and Gas Resources 16, no. : 113-121.

Journal article
Published: 01 January 2016 in Building and Environment
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ACS Style

Arif Widiatmojo; Kyuro Sasaki; Nuhindro Priagung Widodo; Yuichi Sugai; Amin Yousefi-Sahzabi; Ronald Nguele. Predicting gas dispersion in large scale underground ventilation: A particle tracking approach. Building and Environment 2016, 95, 171 -181.

AMA Style

Arif Widiatmojo, Kyuro Sasaki, Nuhindro Priagung Widodo, Yuichi Sugai, Amin Yousefi-Sahzabi, Ronald Nguele. Predicting gas dispersion in large scale underground ventilation: A particle tracking approach. Building and Environment. 2016; 95 ():171-181.

Chicago/Turabian Style

Arif Widiatmojo; Kyuro Sasaki; Nuhindro Priagung Widodo; Yuichi Sugai; Amin Yousefi-Sahzabi; Ronald Nguele. 2016. "Predicting gas dispersion in large scale underground ventilation: A particle tracking approach." Building and Environment 95, no. : 171-181.

Journal article
Published: 09 June 2015 in Journal of Unconventional Oil and Gas Resources
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Tracer test is a useful method to investigate various phenomena in geological porous media including groundwater contaminant transport, sweep efficiency and retention time in oil reservoir, reservoir characterization, fractures orientation assessment, as well as geothermal reservoir evaluation. Numerical methods are powerful tools in interpreting tracer test results. However, they are limited by computational restrictions which include finer grid requirements and small calculation steps. In this study, an analog model of a quarter five-spot porous reservoir was simulated by using random walk particle tracking method. This scheme used ‘method of images’ with pairs of injector–producer potential flow to generate the velocity vectors instead of conventionally solving Darcy’s equation to obtain grid velocities. Simulated breakthrough concentration profiles and flow visualization were compared with both experimental results and Eulerian-grid based finite volume simulation. The predicted breakthrough curves of tracer concentration were found to agree with experimental data sets. In addition to be free from numerical errors as often encountered in grid-based simulation, the proposed particle tracking model showed a faster computational time. Unlike the conventional grid method, this technique provides inherently smooth and continuous flow field at arbitrary position within the reservoir model.

ACS Style

Arif Widiatmojo; Kyuro Sasaki; Amin Yousefi-Sahzabi; Ronald Nguele; Yuichi Sugai; Atsushi Maeda. A grid-free particle tracking simulation for tracer dispersion in porous reservoir model. Journal of Unconventional Oil and Gas Resources 2015, 11, 75 -81.

AMA Style

Arif Widiatmojo, Kyuro Sasaki, Amin Yousefi-Sahzabi, Ronald Nguele, Yuichi Sugai, Atsushi Maeda. A grid-free particle tracking simulation for tracer dispersion in porous reservoir model. Journal of Unconventional Oil and Gas Resources. 2015; 11 ():75-81.

Chicago/Turabian Style

Arif Widiatmojo; Kyuro Sasaki; Amin Yousefi-Sahzabi; Ronald Nguele; Yuichi Sugai; Atsushi Maeda. 2015. "A grid-free particle tracking simulation for tracer dispersion in porous reservoir model." Journal of Unconventional Oil and Gas Resources 11, no. : 75-81.

Journal article
Published: 19 December 2014 in Electronic Green Journal
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Environmental information is important for understanding how our planet is changing and what is the role of human activities in the process of these changes. Access to quality environmental information is crucial for developing relevant policies and appropriate practical responses for the global and regional environmental problems. Environmental information systems have been developed for many years to facilitate environmental information creation, organization and access; however the boundaries of environmental information research are beyond dealing with just the systems and can cover various topics under the broad discipline of environmental information science. This article reviews the concept of the science of environmental information and the topics that might be included in it.

ACS Style

Amin Yousefi-Sahzabi; Kyuro Sasaki; Hossein Ali Yousefi. Some Thoughts on the Notion of Environmental Information Science. Electronic Green Journal 2014, 1, 1 .

AMA Style

Amin Yousefi-Sahzabi, Kyuro Sasaki, Hossein Ali Yousefi. Some Thoughts on the Notion of Environmental Information Science. Electronic Green Journal. 2014; 1 (37):1.

Chicago/Turabian Style

Amin Yousefi-Sahzabi; Kyuro Sasaki; Hossein Ali Yousefi. 2014. "Some Thoughts on the Notion of Environmental Information Science." Electronic Green Journal 1, no. 37: 1.

Proceedings article
Published: 16 May 2012 in Air Pollution XX
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ACS Style

Amin Yousefi-Sahzabi; K. Sasaki; Y. Sugai. Mitigating climate change by CO2air capture and geological storage: opportunities for Iran. Air Pollution XX 2012, 1, 525 -534.

AMA Style

Amin Yousefi-Sahzabi, K. Sasaki, Y. Sugai. Mitigating climate change by CO2air capture and geological storage: opportunities for Iran. Air Pollution XX. 2012; 1 ():525-534.

Chicago/Turabian Style

Amin Yousefi-Sahzabi; K. Sasaki; Y. Sugai. 2012. "Mitigating climate change by CO2air capture and geological storage: opportunities for Iran." Air Pollution XX 1, no. : 525-534.

Journal article
Published: 31 December 2011 in Journal of Cleaner Production
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CO2 is the dominant constituent of non-condensable gases in the steam phase of most geothermal fluids. This paper attempts to present the results of a study conducted to develop prediction modeling of CO2 dispersion in the surrounding atmosphere from a planned 50 MWe geothermal power plant prior to its production. Dispersion models are widely used for predicting future concentrations of environmental emissions on a range of geographic scales. The dispersion type for gases and their average removal rate depends on the meteorological conditions such as wind direction, wind speed, precipitation, atmospheric stability, and surface roughness and topography. Geographic Information System (GIS) capabilities were used for quality visualization of the model outputs and presenting an accurate numerical copy of the study area. The results by the prediction model show that the natural transfer of CO2 will be from the power plant toward east and northeast and CO2 concentration trends after the power plant utilization will be similar to the background conditions with minor changes. This dispersion test was carried out to validate and field test the GIS aided dispersion modeling approach described in the paper and the procedure may be applicable for other studies assessing the emission dispersion of pollutants from a point source.

ACS Style

Amin Yousefi-Sahzabi; Kyuro Sasaki; Hossein Yousefi; Saied Pirasteh; Yuichi Sugai. GIS aided prediction of CO2 emission dispersion from geothermal electricity production. Journal of Cleaner Production 2011, 19, 1982 -1993.

AMA Style

Amin Yousefi-Sahzabi, Kyuro Sasaki, Hossein Yousefi, Saied Pirasteh, Yuichi Sugai. GIS aided prediction of CO2 emission dispersion from geothermal electricity production. Journal of Cleaner Production. 2011; 19 (17-18):1982-1993.

Chicago/Turabian Style

Amin Yousefi-Sahzabi; Kyuro Sasaki; Hossein Yousefi; Saied Pirasteh; Yuichi Sugai. 2011. "GIS aided prediction of CO2 emission dispersion from geothermal electricity production." Journal of Cleaner Production 19, no. 17-18: 1982-1993.

Journal article
Published: 01 January 2011 in Energy Procedia
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This paper summarizes the capabilities of geographical information system (GIS) in CO2 capture and geological storage (CCS). GIS is emerging as a useful tool for the spatio-temporal analysis, techno-economic feasibility and environmental assessment of CCS projects. A review on the recent case studies reveals the applicability of geo-information technology to the screening and analysis of emission sources, transportation and storage possibilities of CO2. This paper presents a survey on the methodologies, techniques and tools for modeling of the CO2 emission form stationary sources, CCS-GIS database development, spatial source-sink matching, and economic assessment

ACS Style

Amin Yousefi-Sahzabi; Kyuro Sasaki; Ibrahim Djamaluddin; Hossein Yousefi; Yuichi Sugai. GIS modeling of CO2 emission sources and storage possibilities. Energy Procedia 2011, 4, 2831 -2838.

AMA Style

Amin Yousefi-Sahzabi, Kyuro Sasaki, Ibrahim Djamaluddin, Hossein Yousefi, Yuichi Sugai. GIS modeling of CO2 emission sources and storage possibilities. Energy Procedia. 2011; 4 ():2831-2838.

Chicago/Turabian Style

Amin Yousefi-Sahzabi; Kyuro Sasaki; Ibrahim Djamaluddin; Hossein Yousefi; Yuichi Sugai. 2011. "GIS modeling of CO2 emission sources and storage possibilities." Energy Procedia 4, no. : 2831-2838.

Journal article
Published: 27 August 2010 in Mitigation and Adaptation Strategies for Global Change
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CO 2 emission, Economic growth, Emission intensity, Energy sectors, Iran,

ACS Style

Amin Yousefi-Sahzabi; Kyuro Sasaki; Hossein Yousefi; Yuichi Sugai. CO2 emission and economic growth of Iran. Mitigation and Adaptation Strategies for Global Change 2010, 16, 63 -82.

AMA Style

Amin Yousefi-Sahzabi, Kyuro Sasaki, Hossein Yousefi, Yuichi Sugai. CO2 emission and economic growth of Iran. Mitigation and Adaptation Strategies for Global Change. 2010; 16 (1):63-82.

Chicago/Turabian Style

Amin Yousefi-Sahzabi; Kyuro Sasaki; Hossein Yousefi; Yuichi Sugai. 2010. "CO2 emission and economic growth of Iran." Mitigation and Adaptation Strategies for Global Change 16, no. 1: 63-82.