Global Change Abstracts The Swiss Contribution - SCNAT
Global Change Abstracts The Swiss Contribution - SCNAT
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.