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Modelled surface ozone over southern africa during the cross border air pollution impact assessment project

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dc.contributor.author Zunckel, M en_US
dc.contributor.author Koosailee, A en_US
dc.contributor.author Yarwood, G en_US
dc.contributor.author Maure, G en_US
dc.contributor.author Venjonoka, K en_US
dc.contributor.author Van Tienhoven, AM en_US
dc.contributor.author Otter, L en_US
dc.date.accessioned 2007-02-08T06:31:08Z en_US
dc.date.accessioned 2007-06-07T10:08:47Z
dc.date.available 2007-02-08T06:31:08Z en_US
dc.date.available 2007-06-07T10:08:47Z
dc.date.copyright en_US
dc.date.issued 2006-07 en_US
dc.identifier.citation Zunckel, M, et al. 2006. Modelled surface ozone over southern africa during the cross border air pollution impact Assessment project. Environmental modelling and software, vol 21 (7), pp 911-924 en_US
dc.identifier.issn 1364-8152 en_US
dc.identifier.uri http://hdl.handle.net/10204/1608 en_US
dc.identifier.uri http://hdl.handle.net/10204/1608
dc.description.abstract Monitoring of surface ozone over southern Africa has shown that ambient concentrations often exceed a threshold of 40 ppb at which damage to vegetation by ozone could be expected. The Cross Border Air Pollution Assessment Project (CAPIA) was therefore established to assess the potential impacts of ozone on maize, a staple food crop, in five southern African countries. Measured surface ozone data are scarce in the region so it was necessary to complement the monitoring with regional-scale photochemical modeling to achieve the objective. The Pennsylvania State and NCAR Mesoscale Model (MM5) is used to produce gridded meteorological data for 5 days in each month of the maize growing season, October to April, as input to the photochemical model, CAMx. Gridded anthropogenic emissions from industry, transport and domestic burning and gridded biogenic emissions from soils and vegetation are input to CAMx. The model estimations indicate large areas on the sub-continent where surface ozone concentrations exceed 40 ppb for up to 10 h per day. Maximum concentrations may exceed 80 ppb, particularly in the winter when mean ozone concentrations are higher. The areas where the 40 ppb threshold is exceeded coincide with maize growing areas in South Africa and Zimbabwe. It appears that neither anthropogenic emissions nor biogenic emissions are dominant in the production of surface ozone over southern Africa. Rather the formation of surface ozone over the region is attributed to the combined contribution of precursors from anthropogenic and biogenic origin. en_US
dc.format.extent 1329337 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en en_US
dc.publisher Elsevier Science Ltd en_US
dc.rights Copyright: 2006 Elsevier Science Ltd en_US
dc.source en_US
dc.subject Photochemical modelling en_US
dc.subject CAMx en_US
dc.subject Mesoscale model 5 en_US
dc.subject CAPIA en_US
dc.subject Biogenic emissions en_US
dc.subject Anthropogenic emissions en_US
dc.title Modelled surface ozone over southern africa during the cross border air pollution impact assessment project en_US
dc.type Article en_US
dc.identifier.apacitation Zunckel, M., Koosailee, A., Yarwood, G., Maure, G., Venjonoka, K., Van Tienhoven, A., & Otter, L. (2006). Modelled surface ozone over southern africa during the cross border air pollution impact assessment project. http://hdl.handle.net/10204/1608 en_ZA
dc.identifier.chicagocitation Zunckel, M, A Koosailee, G Yarwood, G Maure, K Venjonoka, AM Van Tienhoven, and L Otter "Modelled surface ozone over southern africa during the cross border air pollution impact assessment project." (2006) http://hdl.handle.net/10204/1608 en_ZA
dc.identifier.vancouvercitation Zunckel M, Koosailee A, Yarwood G, Maure G, Venjonoka K, Van Tienhoven A, et al. Modelled surface ozone over southern africa during the cross border air pollution impact assessment project. 2006; http://hdl.handle.net/10204/1608. en_ZA
dc.identifier.ris TY - Article AU - Zunckel, M AU - Koosailee, A AU - Yarwood, G AU - Maure, G AU - Venjonoka, K AU - Van Tienhoven, AM AU - Otter, L AB - Monitoring of surface ozone over southern Africa has shown that ambient concentrations often exceed a threshold of 40 ppb at which damage to vegetation by ozone could be expected. The Cross Border Air Pollution Assessment Project (CAPIA) was therefore established to assess the potential impacts of ozone on maize, a staple food crop, in five southern African countries. Measured surface ozone data are scarce in the region so it was necessary to complement the monitoring with regional-scale photochemical modeling to achieve the objective. The Pennsylvania State and NCAR Mesoscale Model (MM5) is used to produce gridded meteorological data for 5 days in each month of the maize growing season, October to April, as input to the photochemical model, CAMx. Gridded anthropogenic emissions from industry, transport and domestic burning and gridded biogenic emissions from soils and vegetation are input to CAMx. The model estimations indicate large areas on the sub-continent where surface ozone concentrations exceed 40 ppb for up to 10 h per day. Maximum concentrations may exceed 80 ppb, particularly in the winter when mean ozone concentrations are higher. The areas where the 40 ppb threshold is exceeded coincide with maize growing areas in South Africa and Zimbabwe. It appears that neither anthropogenic emissions nor biogenic emissions are dominant in the production of surface ozone over southern Africa. Rather the formation of surface ozone over the region is attributed to the combined contribution of precursors from anthropogenic and biogenic origin. DA - 2006-07 DB - ResearchSpace DP - CSIR KW - Photochemical modelling KW - CAMx KW - Mesoscale model 5 KW - CAPIA KW - Biogenic emissions KW - Anthropogenic emissions LK - https://researchspace.csir.co.za PY - 2006 SM - 1364-8152 T1 - Modelled surface ozone over southern africa during the cross border air pollution impact assessment project TI - Modelled surface ozone over southern africa during the cross border air pollution impact assessment project UR - http://hdl.handle.net/10204/1608 ER - en_ZA


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