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Global Change Abstracts The Swiss Contribution - SCNAT

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188 <strong>Global</strong> <strong>Change</strong> <strong>Abstracts</strong> – <strong>The</strong> <strong>Swiss</strong> <strong>Contribution</strong> | Human Dimensions<br />

screenings undertaken have shown the need to<br />

take a comprehensive approach to adaptation and<br />

its integration into development planning and<br />

sectoral decision-making, and a number of policy<br />

initiatives have been taken to promote such integration.<br />

We provide some initial guidance as to<br />

how portfolio screening can be carried out in a<br />

way that would allow agencies to assess systematically<br />

the relevance of climate change to their<br />

ongoing and planned development projects.<br />

Climatic <strong>Change</strong>, 2007, V84, N1, SEP, pp 23-44.<br />

08.1-394<br />

A MERGE model with endogenous technological<br />

change and the cost of carbon stabilization<br />

Kypreos S<br />

Switzerland<br />

Modelling , Economics , Meteorology & Atmospheric<br />

Sciences<br />

Two stylized backstop systems with endogenous<br />

technological learning (ETL) are introduced in the<br />

“model for evaluating regional and global effects”<br />

(MERGE): one for the electric and the other for the<br />

non- electric markets. <strong>The</strong>n the model is applied to<br />

analyze the impacts of ETL on carbon-mitigation<br />

policy, contrasting the resulting impacts with the<br />

situation without ETL. We model research and development<br />

(R&D) spending and learning subsidies<br />

for the demonstration and deployment stage as<br />

control variables, and we investigate the ability of<br />

this extra spending to create path-dependent experience<br />

and knowledge to aid in the implementation<br />

of carbon-free technologies. Based on model<br />

estimations and sensitivity analyses, we conclude<br />

that increased commitments for the development<br />

of new technologies to advance along their learning<br />

curves has a potential for substantial reductions<br />

in the cost of mitigating climate change and<br />

thereby helping to reach safe concentrations of<br />

carbon in the atmosphere. (<br />

Energy Policy, 2007, V35, N11, NOV, pp<br />

5327-5336.<br />

08.1-395<br />

Characterization of source-specific air pollution<br />

exposure for a large population-based<br />

<strong>Swiss</strong> Cohort (SAPALDIA)<br />

Liu L J S, Curjuric I, Keidel D, Heldstab J, Künzli N,<br />

Bayer Oglesby L, Ackermann Liebrich U, Schindler C<br />

Switzerland, USA, Spain<br />

Human & Public Health , Medicine<br />

BACKGROUND: Although the dispersion model approach<br />

has been used in some epidemiologic studies<br />

to examine health effects of traffic- specific air<br />

pollution, no study has evaluated the model predictions<br />

vigorously. METHODS: We evaluated total<br />

and traffic-specific particulate matter < 10 and < 2.5<br />

pm in aerodynamic diameter (PM10, PM2.5), nitrogren<br />

dioxide, and nitrogen oxide concentrations<br />

predicted by Gaussian dispersion models against<br />

fixed-site measurements at different locations,<br />

including traffic-impacted, urban-background,<br />

and alpine settings between and across cities. <strong>The</strong><br />

model predictions were then used to estimate<br />

individual subjects’ historical and cumulative exposures<br />

with a temporal trend model. RESULTS:<br />

Modeled PM10 and NO 2 predicted at least 55%<br />

and 72% of the variability of the measured PM10<br />

and NO 2, respectively. Traffic- specific pollution<br />

estimates correlated with the NOx measurements<br />

(R-2 >= 0.77) for background sites but not for traffic<br />

sites. Regional background PM10 accounted for<br />

most PM10 mass in all cities. Whereas traffic PM10<br />

accounted for < 20% of the total PM10, it varied<br />

significantly within cities. <strong>The</strong> modeling error for<br />

PM10 was similar within and between cities. Traffic<br />

NOx accounted for the majority of NOx mass in<br />

urban areas, whereas background NOx accounted<br />

for the majority of NOx in rural areas. <strong>The</strong> within-city<br />

NO 2 modeling error was larger than that<br />

between cities. CONCLUSIONS: <strong>The</strong> dispersion<br />

model predicted well the total PM10, NOx, and<br />

NO 2 and traffic-specific pollution at background<br />

sites. However, the model underpredicted traffic<br />

NOx and NO 2 at traffic sites and needs refinement<br />

to reflect local conditions. <strong>The</strong> dispersion model<br />

predictions for PM10 are suitable for examining<br />

individual exposures and health effects within<br />

and between cities.<br />

Environmental Health Perspectives, 2007, V115,<br />

N11, NOV, pp 1638-1645.<br />

08.1-396<br />

Climate risks and peak oil: Challenge for the<br />

trans disciplinary research<br />

Maibach M, Guyer M, Kläy A<br />

Switzerland<br />

Economics , Meteorology & Atmospheric Sciences ,<br />

Multidisciplinary Sciences<br />

Gaia Ecological Perspectives For Science and Society,<br />

2007, V16, N3, pp 229-231.<br />

08.1-397<br />

Does climate policy promote development?<br />

Michaelowa A, Michaelowa K<br />

Switzerland<br />

Political Sciences , Economics , Meteorology &<br />

Atmospheric Sciences<br />

Climatic <strong>Change</strong>, 2007, V84, N1, SEP, pp 1-4.

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