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Emissions Scenarios - IPCC

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Technical Summary 45<br />

in tlie hiigiiest emission scenarios (tlie fossil fuel intensive<br />

scenarios within the Al scenario family and the high<br />

population, coal intensive A2 scenario family) do emissions<br />

rise continuously throughout the 2P' century. In the AIB<br />

("balanced") scenaiio group and in the B2 scenario family,<br />

NOjj emission levels rise less. N0^^ emissions tend to increase<br />

up to 2050 and stabilize thereafter, the result of a gradual<br />

substitution of fossil fuels by alternatives as well as of the<br />

increasing diffusion of N0,^ control technologies. Low<br />

emission futures are described by various ВI family scenarios,<br />

as well as in the AIT scenario group, that describe futures in<br />

which NOj^ emissions are controlled because of either local air<br />

quality concerns or rapid technological change away from<br />

conventional fossil technologies. Overall, the SRES scenarios<br />

describe a similar upper range of NO^^ emissions as the<br />

previous IS92 scenarios (151 MtN versus 134 MtN,<br />

respectively, by 2100), but extend the IS92 uncertainty range<br />

toward lower emission levels (16 versus 54 MtN by 2100 in the<br />

SRES and IS92 scenarios, respectively).<br />

9.4.2. Volatile Organic Compounds, Excluding Methane<br />

NMVOCs arise from fossil fuel combustion (as with NO^^,<br />

wide ranges of emission factors are typical for internal<br />

combustion engines), and also from industrial processes, fuel<br />

storage (fugitive emissions), use of solvents (e.g., in paint and<br />

cleaners), and a variety of other activities. In this report<br />

NMVOCs are discussed as one group. As for N0^^ emissions,<br />

not all models include the NMVOCs emissions category or all<br />

of its sources.<br />

A relatively robust trend across all 40 scenarios (see Chapter 5)<br />

is a gradual increase in NMVOC emissions up to about 2050,<br />

with a range between 190 and 260 Mt. Beyond 2050,<br />

uncertainties increase with respect to both emission levels and<br />

trends. By 2100, the range is between 58 and 552 Mt, which<br />

extends the IS92 scenario range of 136 to 403 Mt by 2100<br />

toward both higher and lower emissions (see Table TS-4). As<br />

for N0^ emissions, the upper bounds of NMVOC emissions<br />

are formed by the fossil fuel intensive scenarios within the Al<br />

scenario family, and the lower bounds by the scenarios within<br />

the Bl scenario family. Characteristic ranges are between 60<br />

and 90 Mt NMVOC by 2100 in the low emissions cluster and<br />

between 370 and 550 Mt NMVOC in the high emissions<br />

cluster. All other scenario families and individual scenarios fall<br />

between these two emissions clusters; the B2 marker scenario<br />

(B2-MESSAGE) closely tracks the median of global NMVOC<br />

emissions from all the SRES scenarios (see Chapter 5).<br />

9.4.3. Carbon Monoxide <strong>Emissions</strong><br />

The same caveats as stated above for N0,^ and NMVOC<br />

emissions also apply to CO emissions - the number of models<br />

that represent all the emission source categories is limited and<br />

modeling and data uncertainties, such as emission factors, are<br />

considerable. As a result, CO emission estimates across<br />

scenarios are highly model specific and future emission levels<br />

overlap considerably between the four SRES scenario families<br />

(see Table TS-4). Generally, emissions are highest in the high<br />

growth fossil fuel intensive scenarios within the Al scenario<br />

family. Lowest emission levels are generally associated with<br />

the Bl and B2 scenario famiUes. By 2100, emissions range<br />

between 363 and 3766 Mt CO, a considerably larger<br />

uncertainty range, particularly toward higher emissions, than in<br />

IS92, for which the 2100 emission range was between 450 and<br />

929 Mt CO (see Table TS-4).<br />

9.5. <strong>Emissions</strong> Overview<br />

Table TS-4 (see later) summarizes the emissions of GHGs,<br />

sulfur dioxide and other radiatively active species by 2100 for<br />

the four markers and the ranges for other 36 scenarios.<br />

Combined with Tables TS-2 and TS-3, the tables provide a<br />

concise summary of the new SRES scenarios. Data are given<br />

for both the harmonized and all scenarios.<br />

10. Summary, Conclusions, and Recommendations<br />

In summary, the SRES scenarios lead to the following findings:<br />

• Alternative combinations of driving forces can lead to<br />

similar levels and structure of energy and land-use<br />

patterns, as illustrated by different scenarios and<br />

groups. Hence, even for a given scenario outcome (e.g.,<br />

in terms of GHG emissions) there are alternative<br />

combinations of driving forces and pathways that could<br />

lead to that outcome. For instance, significant global<br />

changes could result from a scenario of high population<br />

growth, even if per capita incomes rise only modestly,<br />

as well as from a scenario in which a rapid<br />

demographic transition (to low population levels)<br />

coincides with high rates of income growth and<br />

affluence.<br />

• Important possibilities for further bifurcations in future<br />

development trends exist within one scenario family,<br />

even when particular values are adopted for the<br />

important scenario driving force variables to illustrate a<br />

particular development path. The technology scenario<br />

groups in the Al family illustrate such alternative<br />

development paths with similar quantifications of the<br />

main driving forces.<br />

• <strong>Emissions</strong> profiles are dynamic across the range of<br />

SRES scenarios. They portray trend reversals and<br />

indicate possible emissions crossover among different<br />

scenarios. They do not represent mere extensions of<br />

continuous increase of GHGs and SOj emissions into<br />

the future. This more complex pattern of future<br />

emissions across the range of SRES scenarios, time<br />

periods, world regions, and sectors reflects recent<br />

scenario literature.<br />

• Describing potential future developments involves<br />

inherent ambiguities and uncertainties. One and only one<br />

possible development path (as alluded to, for instance, in<br />

concepts such as "business-as-usual scenario") simply

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