Mitigation Strategies
The user may select a vegetation, albedo, or combined
mitigation strategy to model. In all cases the mitigation level represents a
fractional increase over the entire city, and the distribution of the change is
assumed to be uniform over all urban areas. For example, suppose the city
surface is 40% rooftop, 30% paved surface, and 30% vegetated surface. If the
user specifies an increase of 0.1 in vegetative fraction this corresponds to the
assumption that the total vegetative cover of the city increases uniformly from
30% to 40%. Likewise a specified increase of 0.10 in city albedo is assumed to
be applied uniformly over the entire city. In practice, of course, this could be
accomplished in many ways. For example, consider the case where we desire to
increase the city albedo by 0.10 by modifying ONLY rooftops. Since rooftops
account for only 40% of the surface area one would need to increase rooftop
albedo by 0.25 to affect a city-wide increase of albedo of 0.10 (ie., 0.25*0.40=
0.10). The MIST code is not capable of discerning spatial differences in
application of either mitigation strategy, however, so all mitigation is assumed
uniform over the city.
The MIST code limits the range of changes in
either albedo or vegetation to -0.5
< D < 0.5. This is primarily to limit the chance of entry errors (e.g., 10
rather than 0.10). Positive values correspond to an increase in albedo or
vegetation. Negative values are allowed so the user can explore issues such
as urban deforestation.
In either case the level of mitigation specified by the
user is converted directly to projected changes in near-surface air temperatures
using results from mesoscale atmospheric modeling studies which are discussed in the Meteorological Impacts section of this help file.
Alternatively the user may simply input a
uniform temperature change. This option directly affects a change in
near-surface air temperature which is assumed uniform in space and time.
Advanced users seeking more detailed
information on this and other topics related to the scientific and modeling
underpinnings of the MIST software tool should read the detailed model
description document that can be downloaded from the MIST website.