The Experts below are selected from a list of 264 Experts worldwide ranked by ideXlab platform

Adam Bourassa - One of the best experts on this subject based on the ideXlab platform.

  • A comparison of Atmospheric Dispersion model predictions with observations of SO2 and sulphate aerosol from volcanic eruptions
    Journal of Geophysical Research, 2012
    Co-Authors: Imogen P C Heard, Alistair J. Manning, Jim Haywood, Claire Witham, A.l. Redington, Andrew Jones, Lieven Clarisse, Adam Bourassa
    Abstract:

    [1] The UK Met Office's Numerical Atmospheric-Dispersion Modeling Environment (NAME) is used both operationally and for research investigations. It has previously been used to model volcanic ash at the London Volcanic Ash Advisory Centre (VAAC), including that from the eruptions in Iceland of Eyjafjallajokull in 2010 and Grimsvotn in 2011. In this paper, the ability of NAME to model the release and Dispersion of volcanic SO2, the chemical processes leading to the production of sulphate aerosol, and the subsequent Dispersion of sulphate aerosol, has been investigated. Sensitivity tests were carried out to investigate the suitability of the NAME chemistry scheme for use in both the troposphere and the stratosphere. The eruptions of Sarychev in 2009, Kasatochi in 2008 and Eyjafjallajokull in 2010 were simulated and results for SO2 column density and sulphate aerosol optical depth (AOD) were compared with satellite retrievals. NAME results compare favorably with available observations in terms of both geographical distribution and magnitude for all three cases. The NAME modeled values of SO2 show a correlation of 0.8 with the corresponding observations for Sarychev. Ninety percent of modeled values of northern hemisphere averaged sulphate AOD are within a factor of 2 of those observed for Kasatochi and 71% are within a factor of 2 of those observed for Sarychev. Although significant uncertainties are present in both the model and observations, this work demonstrates that NAME's current chemistry scheme shows promise as a tool for Modeling SO2 and sulphate from volcanoes.

  • A comparison of Atmospheric Dispersion model predictions with observations of SO2 and sulphate aerosol from volcanic eruptions
    Journal of Geophysical Research: Atmospheres, 2012
    Co-Authors: Imogen P C Heard, Alistair J. Manning, Claire Witham, A.l. Redington, Lieven Clarisse, James M. Haywood, Andy Jones, Adam Bourassa
    Abstract:

    The UK Met Office's Numerical Atmospheric-Dispersion Modeling Environment (NAME) is used both operationally and for research investigations. It has previously been used to model volcanic ash at the London Volcanic Ash Advisory Centre (VAAC), including that from the eruptions in Iceland of Eyjafjallajökull in 2010 and Grímsvtn in 2011. In this paper, the ability of NAME to model the release and Dispersion of volcanic SO2, the chemical processes leading to the production of sulphate aerosol, and the subsequent Dispersion of sulphate aerosol, has been investigated. Sensitivity tests were carried out to investigate the suitability of the NAME chemistry scheme for use in both the troposphere and the stratosphere. The eruptions of Sarychev in 2009, Kasatochi in 2008 and Eyjafjallajökull in 2010 were simulated and results for SO2 column density and sulphate aerosol optical depth (AOD) were compared with satellite retrievals. NAME results compare favorably with available observations in terms of both geographical distribution and magnitude for all three cases. The NAME modeled values of SO2 show a correlation of 0.8 with the corresponding observations for Sarychev. Ninety percent of modeled values of northern hemisphere averaged sulphate AOD are within a factor of 2 of those observed for Kasatochi and 71% are within a factor of 2 of those observed for Sarychev. Although significant uncertainties are present in both the model and observations, this work demonstrates that NAME's current chemistry scheme shows promise as a tool for Modeling SO2 and sulphate from volcanoes. © 2012 by the American Geophysical Union.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Muneer Aziz Saleh - One of the best experts on this subject based on the ideXlab platform.

  • Atmospheric Dispersion Modeling and radiological safety assessment for expected operation of baiji nuclear power plant potential site
    Annals of Nuclear Energy, 2019
    Co-Authors: Ismael Mohammed Mohammed Saeed, Ahmad Termizi Ramli, Muneer Aziz Saleh, Suhairul Hashim, Shwan H H Alshatri
    Abstract:

    Abstract Installing new nuclear facilities require a serious consideration of safety measures throughout all stages. This work evaluates the radiological impact of the expected operations of potential Baiji nuclear power plant (NPP) in accord with the safety requirement’s achievement. GENII Environmental Dosimetry System is used to assess annual effective dose equivalent (AEDE) and cancer risks. GENII model configured according to ICRP 60 and 103 recommended dose conversion coefficients. Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model configured to study spatial distribution of the exposure dose around the NPP according to distance and direction. Results showed that maximum AEDE was 0.5  μ Sv at the Baiji potential site, which was lower than the allowed dose limit by International Commission on Radiological Protection (ICRP) 60 and 103 recommendations. The cancer incidence and fatality risks were in the range of 1 in 107 people. The areas most influenced by the Atmospheric emissions of radioactive discharges were Baiji and Tikrit cities at distances of 30–40 km south and south-east of Baiji site.

  • assessment of potential human health and environmental impacts of a nuclear power plant npp based on Atmospheric Dispersion Modeling
    Atmosfera, 2015
    Co-Authors: Abubakar Sadiq Aliyu, Ahmad Termizi Ramli, Muneer Aziz Saleh
    Abstract:

    The United States Environmental Protection Agency (US-EPA) short-range Atmospheric Dispersion model (AERMOD, v. 12345) is a good candidate for the calculation of offsite radiation doses to the general public, and its advanced capability should provide better confidence in the accuracy of offsite public doses assessment. In this paper the AERMOD code has been used to assess the impact of routine and accidental Atmospheric radioactive discharges from a new nuclear power plant (NPP) site in Geregu, Nigeria (7˚ 33ˈ N, 6˚ 41ˈ E) on the four major settlements (Ajakuta, Lokoja, Idah and Okene) that lay within the emergency planning zones of the NPP. The code has produced values of the scaling factors for ground level air concentrations and depositions of radionuclides (from the passing plume) over our areas of interest. The scaling factors have been used to assess the potential radiological impact on the offsite human and non-human biota. While the authorities, an integrated approach to the assessment and management of environmental risks from ionizing radiation (D-ERICA) was adopted for the non-human biota. The results of this work indicate that, under normal operations, the NPP does not pose any significant public health and environmental impacts. However, accidental conditions characterized by precipitation will lead to discernible radiological risks within the NPP sites emergency planning zone.

  • Environmental impact assessment of a new nuclear power plant (NPP) based on Atmospheric Dispersion Modeling
    Stochastic Environmental Research and Risk Assessment, 2014
    Co-Authors: Abubakar Sadiq Aliyu, Ahmad Termizi Ramli, Muneer Aziz Saleh
    Abstract:

    The US Environmental Protection Agency’s short-range Atmospheric Dispersion model (AERMOD 12345) is a good candidate for radiological dose calculations to the general public and the environment. It advanced capability should provide better confidence in the accuracy of offsite dose and risk assessment. The code has been used to compute the scaling factors for air concentration and ground level deposition of fission products based on routine and hypothetical accident releases from the NPP site in Geregu, Nigeria (7°33′N, 6°41′E). All computations were within the 16 km emergency planing zone of a generic reactor design considered by the study. The scaling factors have been used to assess the potential environmental risk of the NPP using an integrated approach to the assessment and management of environmental risks from ionizing radiation (D-ERICA). Obtained results should provide baseline information for decision making in terms of operation license provision for the pioneer NPP.

Imogen P C Heard - One of the best experts on this subject based on the ideXlab platform.

  • A comparison of Atmospheric Dispersion model predictions with observations of SO2 and sulphate aerosol from volcanic eruptions
    Journal of Geophysical Research, 2012
    Co-Authors: Imogen P C Heard, Alistair J. Manning, Jim Haywood, Claire Witham, A.l. Redington, Andrew Jones, Lieven Clarisse, Adam Bourassa
    Abstract:

    [1] The UK Met Office's Numerical Atmospheric-Dispersion Modeling Environment (NAME) is used both operationally and for research investigations. It has previously been used to model volcanic ash at the London Volcanic Ash Advisory Centre (VAAC), including that from the eruptions in Iceland of Eyjafjallajokull in 2010 and Grimsvotn in 2011. In this paper, the ability of NAME to model the release and Dispersion of volcanic SO2, the chemical processes leading to the production of sulphate aerosol, and the subsequent Dispersion of sulphate aerosol, has been investigated. Sensitivity tests were carried out to investigate the suitability of the NAME chemistry scheme for use in both the troposphere and the stratosphere. The eruptions of Sarychev in 2009, Kasatochi in 2008 and Eyjafjallajokull in 2010 were simulated and results for SO2 column density and sulphate aerosol optical depth (AOD) were compared with satellite retrievals. NAME results compare favorably with available observations in terms of both geographical distribution and magnitude for all three cases. The NAME modeled values of SO2 show a correlation of 0.8 with the corresponding observations for Sarychev. Ninety percent of modeled values of northern hemisphere averaged sulphate AOD are within a factor of 2 of those observed for Kasatochi and 71% are within a factor of 2 of those observed for Sarychev. Although significant uncertainties are present in both the model and observations, this work demonstrates that NAME's current chemistry scheme shows promise as a tool for Modeling SO2 and sulphate from volcanoes.

  • A comparison of Atmospheric Dispersion model predictions with observations of SO2 and sulphate aerosol from volcanic eruptions
    Journal of Geophysical Research: Atmospheres, 2012
    Co-Authors: Imogen P C Heard, Alistair J. Manning, Claire Witham, A.l. Redington, Lieven Clarisse, James M. Haywood, Andy Jones, Adam Bourassa
    Abstract:

    The UK Met Office's Numerical Atmospheric-Dispersion Modeling Environment (NAME) is used both operationally and for research investigations. It has previously been used to model volcanic ash at the London Volcanic Ash Advisory Centre (VAAC), including that from the eruptions in Iceland of Eyjafjallajökull in 2010 and Grímsvtn in 2011. In this paper, the ability of NAME to model the release and Dispersion of volcanic SO2, the chemical processes leading to the production of sulphate aerosol, and the subsequent Dispersion of sulphate aerosol, has been investigated. Sensitivity tests were carried out to investigate the suitability of the NAME chemistry scheme for use in both the troposphere and the stratosphere. The eruptions of Sarychev in 2009, Kasatochi in 2008 and Eyjafjallajökull in 2010 were simulated and results for SO2 column density and sulphate aerosol optical depth (AOD) were compared with satellite retrievals. NAME results compare favorably with available observations in terms of both geographical distribution and magnitude for all three cases. The NAME modeled values of SO2 show a correlation of 0.8 with the corresponding observations for Sarychev. Ninety percent of modeled values of northern hemisphere averaged sulphate AOD are within a factor of 2 of those observed for Kasatochi and 71% are within a factor of 2 of those observed for Sarychev. Although significant uncertainties are present in both the model and observations, this work demonstrates that NAME's current chemistry scheme shows promise as a tool for Modeling SO2 and sulphate from volcanoes. © 2012 by the American Geophysical Union.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Lieven Clarisse - One of the best experts on this subject based on the ideXlab platform.

  • A comparison of Atmospheric Dispersion model predictions with observations of SO2 and sulphate aerosol from volcanic eruptions
    Journal of Geophysical Research, 2012
    Co-Authors: Imogen P C Heard, Alistair J. Manning, Jim Haywood, Claire Witham, A.l. Redington, Andrew Jones, Lieven Clarisse, Adam Bourassa
    Abstract:

    [1] The UK Met Office's Numerical Atmospheric-Dispersion Modeling Environment (NAME) is used both operationally and for research investigations. It has previously been used to model volcanic ash at the London Volcanic Ash Advisory Centre (VAAC), including that from the eruptions in Iceland of Eyjafjallajokull in 2010 and Grimsvotn in 2011. In this paper, the ability of NAME to model the release and Dispersion of volcanic SO2, the chemical processes leading to the production of sulphate aerosol, and the subsequent Dispersion of sulphate aerosol, has been investigated. Sensitivity tests were carried out to investigate the suitability of the NAME chemistry scheme for use in both the troposphere and the stratosphere. The eruptions of Sarychev in 2009, Kasatochi in 2008 and Eyjafjallajokull in 2010 were simulated and results for SO2 column density and sulphate aerosol optical depth (AOD) were compared with satellite retrievals. NAME results compare favorably with available observations in terms of both geographical distribution and magnitude for all three cases. The NAME modeled values of SO2 show a correlation of 0.8 with the corresponding observations for Sarychev. Ninety percent of modeled values of northern hemisphere averaged sulphate AOD are within a factor of 2 of those observed for Kasatochi and 71% are within a factor of 2 of those observed for Sarychev. Although significant uncertainties are present in both the model and observations, this work demonstrates that NAME's current chemistry scheme shows promise as a tool for Modeling SO2 and sulphate from volcanoes.

  • A comparison of Atmospheric Dispersion model predictions with observations of SO2 and sulphate aerosol from volcanic eruptions
    Journal of Geophysical Research: Atmospheres, 2012
    Co-Authors: Imogen P C Heard, Alistair J. Manning, Claire Witham, A.l. Redington, Lieven Clarisse, James M. Haywood, Andy Jones, Adam Bourassa
    Abstract:

    The UK Met Office's Numerical Atmospheric-Dispersion Modeling Environment (NAME) is used both operationally and for research investigations. It has previously been used to model volcanic ash at the London Volcanic Ash Advisory Centre (VAAC), including that from the eruptions in Iceland of Eyjafjallajökull in 2010 and Grímsvtn in 2011. In this paper, the ability of NAME to model the release and Dispersion of volcanic SO2, the chemical processes leading to the production of sulphate aerosol, and the subsequent Dispersion of sulphate aerosol, has been investigated. Sensitivity tests were carried out to investigate the suitability of the NAME chemistry scheme for use in both the troposphere and the stratosphere. The eruptions of Sarychev in 2009, Kasatochi in 2008 and Eyjafjallajökull in 2010 were simulated and results for SO2 column density and sulphate aerosol optical depth (AOD) were compared with satellite retrievals. NAME results compare favorably with available observations in terms of both geographical distribution and magnitude for all three cases. The NAME modeled values of SO2 show a correlation of 0.8 with the corresponding observations for Sarychev. Ninety percent of modeled values of northern hemisphere averaged sulphate AOD are within a factor of 2 of those observed for Kasatochi and 71% are within a factor of 2 of those observed for Sarychev. Although significant uncertainties are present in both the model and observations, this work demonstrates that NAME's current chemistry scheme shows promise as a tool for Modeling SO2 and sulphate from volcanoes. © 2012 by the American Geophysical Union.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

A.l. Redington - One of the best experts on this subject based on the ideXlab platform.

  • A comparison of Atmospheric Dispersion model predictions with observations of SO2 and sulphate aerosol from volcanic eruptions
    Journal of Geophysical Research, 2012
    Co-Authors: Imogen P C Heard, Alistair J. Manning, Jim Haywood, Claire Witham, A.l. Redington, Andrew Jones, Lieven Clarisse, Adam Bourassa
    Abstract:

    [1] The UK Met Office's Numerical Atmospheric-Dispersion Modeling Environment (NAME) is used both operationally and for research investigations. It has previously been used to model volcanic ash at the London Volcanic Ash Advisory Centre (VAAC), including that from the eruptions in Iceland of Eyjafjallajokull in 2010 and Grimsvotn in 2011. In this paper, the ability of NAME to model the release and Dispersion of volcanic SO2, the chemical processes leading to the production of sulphate aerosol, and the subsequent Dispersion of sulphate aerosol, has been investigated. Sensitivity tests were carried out to investigate the suitability of the NAME chemistry scheme for use in both the troposphere and the stratosphere. The eruptions of Sarychev in 2009, Kasatochi in 2008 and Eyjafjallajokull in 2010 were simulated and results for SO2 column density and sulphate aerosol optical depth (AOD) were compared with satellite retrievals. NAME results compare favorably with available observations in terms of both geographical distribution and magnitude for all three cases. The NAME modeled values of SO2 show a correlation of 0.8 with the corresponding observations for Sarychev. Ninety percent of modeled values of northern hemisphere averaged sulphate AOD are within a factor of 2 of those observed for Kasatochi and 71% are within a factor of 2 of those observed for Sarychev. Although significant uncertainties are present in both the model and observations, this work demonstrates that NAME's current chemistry scheme shows promise as a tool for Modeling SO2 and sulphate from volcanoes.

  • A comparison of Atmospheric Dispersion model predictions with observations of SO2 and sulphate aerosol from volcanic eruptions
    Journal of Geophysical Research: Atmospheres, 2012
    Co-Authors: Imogen P C Heard, Alistair J. Manning, Claire Witham, A.l. Redington, Lieven Clarisse, James M. Haywood, Andy Jones, Adam Bourassa
    Abstract:

    The UK Met Office's Numerical Atmospheric-Dispersion Modeling Environment (NAME) is used both operationally and for research investigations. It has previously been used to model volcanic ash at the London Volcanic Ash Advisory Centre (VAAC), including that from the eruptions in Iceland of Eyjafjallajökull in 2010 and Grímsvtn in 2011. In this paper, the ability of NAME to model the release and Dispersion of volcanic SO2, the chemical processes leading to the production of sulphate aerosol, and the subsequent Dispersion of sulphate aerosol, has been investigated. Sensitivity tests were carried out to investigate the suitability of the NAME chemistry scheme for use in both the troposphere and the stratosphere. The eruptions of Sarychev in 2009, Kasatochi in 2008 and Eyjafjallajökull in 2010 were simulated and results for SO2 column density and sulphate aerosol optical depth (AOD) were compared with satellite retrievals. NAME results compare favorably with available observations in terms of both geographical distribution and magnitude for all three cases. The NAME modeled values of SO2 show a correlation of 0.8 with the corresponding observations for Sarychev. Ninety percent of modeled values of northern hemisphere averaged sulphate AOD are within a factor of 2 of those observed for Kasatochi and 71% are within a factor of 2 of those observed for Sarychev. Although significant uncertainties are present in both the model and observations, this work demonstrates that NAME's current chemistry scheme shows promise as a tool for Modeling SO2 and sulphate from volcanoes. © 2012 by the American Geophysical Union.SCOPUS: ar.jinfo:eu-repo/semantics/publishe