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We recommend you cite the published version. The publisher's URL is http://dx.doi.org/10. 1016/j.envpol.2009.05.005 Refereed: Yes This is a preprint of an article published in Environmental Pollution c 2009 ?copyright Elsevier?. Environmental Pollution is available online at: http://www.elsevier.com/wps/find/journa Disclaimer UWE has obtained warranties from all depositors as to their title in the material deposited and as to their right to deposit such material. UWE makes no representation or warranties of commercial utility, title, or fitness for a particular purpose or any other warranty, express or implied in respect of any material deposited. UWE makes no representation that the use of the materials will not infringe any patent, copyright, trademark or other property or proprietary rights. UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pending investigation in the event of an allegation of any such infringement. AbstractThe role of vegetation in mitigating the effects of PM 10 pollution has been highlighted as one potential benefit of urban greenspace. An integrated modelling approach is presented which utilises air dispersion (ADMS-Urban) and particulate interception (UFORE) to predict the PM 10 concentrations both before and after greenspace establishment, using a 10 x 10 km area of East London Green Grid (ELGG) as a case study. The corresponding health benefits, in terms of premature mortality and respiratory hospital admissions, as a result of the reduced exposure of the local population are also modelled. PM 10 capture from the scenario comprising 75 % grassland, 20 % sycamore maple (Acer pseudoplatanus L.) and 5 % Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) was estimated to be 90.41 t yr -1 , equating to 0.009 t ha -1 yr -1 over the whole study area. The human health modelling estimated that 2 deaths and 2 hospital admissions would be averted per year. CapsuleA combination of models can be used to estimate particulate matter concentrations before and after greenspace establishment and the resulting benefits to human health.

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