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Aviation and the Global Atmosphere

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<strong>Aviation</strong> <strong>and</strong> <strong>the</strong> <strong>Global</strong> <strong>Atmosphere</strong><br />

are suitable for use in chemical transport models for modeling o<strong>the</strong>r emissions (see Chapters 2<br />

<strong>and</strong> 4) <strong>and</strong> <strong>the</strong>ir effects on radiative forcing (see Chapter 6) because <strong>the</strong>y provide gridded data<br />

that include a consideration of <strong>the</strong> potential changes in <strong>the</strong> spatial distribution of emissions. Only<br />

<strong>the</strong> EDF study provides scenarios for dem<strong>and</strong> from <strong>the</strong> aviation sector <strong>and</strong> subsequent global<br />

CO 2 <strong>and</strong> NO x emissions to 2100. The EDF study provided 10 scenarios based on five different<br />

IPCC IS92 world scenarios for <strong>the</strong> long-term development of world economy <strong>and</strong> population <strong>and</strong><br />

two air traffic dem<strong>and</strong> scenarios (base case <strong>and</strong> high case). The FESG study calculated three air<br />

traffic dem<strong>and</strong> scenarios based on <strong>the</strong> IPCC IS92a, IS92c, <strong>and</strong> IS92e world scenarios, which<br />

were combined with two engine technology scenarios to produce six different emissions<br />

inventories. The FESG scenarios of regional <strong>and</strong> global air traffic were based on a logistic<br />

regression model of traffic dem<strong>and</strong> since 1960 using global GDP as a predictor. The FESG<br />

model used a combination of top-down <strong>and</strong> bottom-up approaches, in which global volumes of<br />

civil aircraft flight kilometers were predicted using <strong>the</strong> regression model for different GDP<br />

scenarios. All available information on regions, including regional variation in growth, was <strong>the</strong>n<br />

used to disaggregate <strong>the</strong>se global values in a consistent way over 45 traffic flows within <strong>and</strong><br />

between <strong>the</strong> regions of <strong>the</strong> world by using a market share allocation model. Year 2050 values of<br />

fuel burned <strong>and</strong> NO x emissions for military traffic were estimated separately.<br />

The EDF scenarios also were based on <strong>the</strong> use of logistic growth curves to model air traffic<br />

growth for business <strong>and</strong> personal travel (plus military <strong>and</strong> freight traffic). Model parameters were<br />

chosen through observation of historical traffic trends in <strong>the</strong> United States. Regional population<br />

was used as a predictor of personal passenger travel, <strong>and</strong> regional GNP was used as a predictor<br />

of business passenger travel <strong>and</strong> freight dem<strong>and</strong>. Both <strong>the</strong> FESG <strong>and</strong> EDF models incorporate<br />

<strong>the</strong> underlying assumption that <strong>the</strong> chosen parameters are satisfactory predictors of aviation<br />

dem<strong>and</strong> <strong>and</strong> that aviation markets eventually mature.<br />

Figure 9-28: Cumulative traffic dem<strong>and</strong> (IS92a<br />

scenario, Fa1,2).<br />

Figure 9-29: Distribution of passenger dem<strong>and</strong> (IS92a<br />

scenario, Eab).<br />

There are large differences between <strong>the</strong> EDF <strong>and</strong> FESG models with respect to <strong>the</strong><br />

development of emissions scenarios. The EDF model uses a constant capacity logistic to<br />

describe fuel efficiency improvements, which extrapolates Greene's (1992) forecast to 2010 with varied rates for five geographic world regions <strong>and</strong> <strong>the</strong> military/freight<br />

aviation sector. For <strong>the</strong> trend in fleet EI(NO x ) a single global logistic model extrapolates from <strong>the</strong> 1990 <strong>and</strong> 2015 values. The FESG scenarios are based on two engine<br />

technology scenarios developed by ICCAIA for ICAO/FESG <strong>and</strong> IPCC (see Chapter 7). These scenarios represent an industry perspective on likely future<br />

developments in fuel efficiency <strong>and</strong> NO x reduction technologies, as well as fur<strong>the</strong>r potentials <strong>and</strong> limitations. The fuel efficiency technology element of <strong>the</strong> DTI scenario<br />

was similar in this respect, but a NO x technology scenario appropriate to stricter emissions regulations was assumed, in which subsonic engine research programs<br />

would deliver emissions levels similar to those targeted in <strong>the</strong> NASA HSCT program.<br />

Additional assumptions are also important to <strong>the</strong> results of <strong>the</strong> scenario models. In <strong>the</strong> EDF model, assumptions about <strong>the</strong> dates of market expansion <strong>and</strong> maturity <strong>and</strong><br />

<strong>the</strong> ultimate capacity levels chosen for <strong>the</strong> economic regions strongly influence <strong>the</strong> outcomes. The EDF, FESG, <strong>and</strong> DTI models all use statistics of traffic/air traffic<br />

from international organizations <strong>and</strong> OECD countries, as well as numerous o<strong>the</strong>r recently published sources, <strong>and</strong> adopt one or more of <strong>the</strong> IPCC IS92 scenarios to<br />

describe <strong>the</strong> long-term development of worldwide economic growth <strong>and</strong> population. The FESG, EDF, <strong>and</strong> DTI models also use information from <strong>the</strong> NASA <strong>and</strong> ANCAT/<br />

EC gridded inventories of traffic flows <strong>and</strong> related emissions. The FESG models used new, partly proprietary, information from industry as a base to project emissions<br />

in <strong>the</strong> year 2050.<br />

http://www.ipcc.ch/ipccreports/sres/aviation/143.htm (2 von 3)08.05.2008 02:44:32

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