Integrated Modelling for Health and Environmental Impact Assessment of Air Pollution and Climate Change
Reis, Stefan; Oxley, Tim; Rowe, Ed. 2010 Integrated Modelling for Health and Environmental Impact Assessment of Air Pollution and Climate Change. In: Swayne, David A.; Yang, Wanhong; Voinov, Alexey A.; Rizzoli, Andrea; Filatova, Tatiana, (eds.) International Congress on Environmental Modelling and Software, Modelling for Environment’s Sake: Proceedings of the iEMSs Fifth Biennial Meeting (iEMSs 2010). Ottawa, Canada, International Environmental Modelling and Software Society, 1122-1131.Before downloading, please read NORA policies.
2010_Reis_et_al_iEMSs_Proceedings_1122-1131.pdf - Published Version
Modelling the impacts of air pollution and climate change on human health and ecosystems in integrated assessment models (IAMs) has emerged as a key tool to inform policy decision making, where simplistic solutions are unlikely to deliver efficient and sustainable pathways for future development. Model integration is facing a complex set of challenges in different dimensions, as integrated models have to be: Spatially explicit and of sufficiently high spatial resolution for their respective domain, with nesting approaches providing the integration across different spatial scales. Temporally dynamic to model system responses and recovery e.g. pollutant accumulation, time-lag (e.g. of measure implementation) and time-bomb effects. Due to different temporal horizons for different processes (e.g. days-years for air pollution, decades-centuries for climate change, centuries-millennia for accumulation of heavy metals/POPs in soils), integrated models also need to nest models with different temporal resolution. Sectorally detailed to model trade-offs and synergies and to allow for the representation of paradigm-shifts (e.g. in energy systems) and behavioural changes (e.g. non-technical measures). Accessible, providing clear illustrations of inter-sectoral synergies and tradeoffs (e.g. ammonia emission reduction vs. nitrate leaching in agriculture) using visualisations and multi-media. In addition to the aforementioned requirements, integrated models need to be flexible and scalable to be able to provide answers to varying problems. This paper discusses current challenges faced by IAMs and emerging developments based on a literature review.
|Item Type:||Publication - Book Section|
|Programmes:||CEH Topics & Objectives 2009 onwards > Biogeochemistry > BGC Topic 2 - Biogeochemistry and Climate System Processes > BGC - 2.1 - Quantify & model processes that control the emission, fate and bioavailability of pollutants|
|Additional Keywords:||integrated modelling, integrated assessment, air quality, climate change, human health, ecosystems|
|NORA Subject Terms:||Ecology and Environment
|Date made live:||12 Jan 2011 13:25|
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