122
order to formulate answers. Of course these are not static and can be supported
by the DSS to assess and to plan in a better way the urban development taking
into account in particular:
– 2.a. Review of different rules and regulation set up by involved local government (reviewing of the local main rules and regulations to plan the urban
development and the land use; incentives and regulatory actions in support of
environmental restoration, energy conservation and to fi ght climate change
put in act from the different local authorities).
– 2.b. Review of the main European legislation concerning urban and spatial
planning and concerned issues.
• Action 3.2. approaches the problem of UHI vs Climate Change: it aims to study
the interaction between UHI and climate change phenomena as well as to understand the infl uences and correlations between them. Thanks to this Action have
been set up indicators establishing relations among urban planning and human
activities (main causes of UHI) with climate change trends, estimated on the
basis of temperature shifting and other parameters. Regional climate model simulations are able to provide an estimation of the future climate scenarios (temperature, humidity, precipitation, wind speed, cloud cover, etc.) which may serve as
outer conditions for the assessment of UHI phenomenon in the CE cities. The
simulations can be made with WRF, e.g., for a time slice of 10 years and statistical output on means and standard deviations of the meteorological variables can
be supplied. Afterwards a downscaling to regional/town scales is required.
Regional climate model uses available boundary conditions provided by existing
global climate model. Climate change has the potential to alter shifts in average
temperature, cloud cover, wind, speed and precipitation. The strong relationship
between wind speed and cloud cover and UHI imply that changes in the magnitude of the UHI effect over the current century will depend at least in part on how
cloud cover and wind speed change. Higher temperature might increase evaporation demand and may indirectly create a positive feedback, augmenting the temIn summary, tasks of WP3 were to provide the collection of techniques to
assess the UHI phenomenon from which a selection have been chosen to be
implemented in DSS. Moreover WP3 analyzes the European and local legislation within which decisions can be taken and from which DSS development
is dependent.
Another important topic is the connection between UHI and climate
change. Climate change will amplify the UHI phenomenon and its consequences for environment and human health have to be carefully taken into
account. DSS has to consider then the projections to future scenarios to manage more useful information for administrators and stakeholders.
D. Fava et al.
order to formulate answers. Of course these are not static and can be supported
by the DSS to assess and to plan in a better way the urban development taking
into account in particular:
– 2.a. Review of different rules and regulation set up by involved local government (reviewing of the local main rules and regulations to plan the urban
development and the land use; incentives and regulatory actions in support of
environmental restoration, energy conservation and to fi ght climate change
put in act from the different local authorities).
– 2.b. Review of the main European legislation concerning urban and spatial
planning and concerned issues.
• Action 3.2. approaches the problem of UHI vs Climate Change: it aims to study
the interaction between UHI and climate change phenomena as well as to understand the infl uences and correlations between them. Thanks to this Action have
been set up indicators establishing relations among urban planning and human
activities (main causes of UHI) with climate change trends, estimated on the
basis of temperature shifting and other parameters. Regional climate model simulations are able to provide an estimation of the future climate scenarios (temperature, humidity, precipitation, wind speed, cloud cover, etc.) which may serve as
outer conditions for the assessment of UHI phenomenon in the CE cities. The
simulations can be made with WRF, e.g., for a time slice of 10 years and statistical output on means and standard deviations of the meteorological variables can
be supplied. Afterwards a downscaling to regional/town scales is required.
Regional climate model uses available boundary conditions provided by existing
global climate model. Climate change has the potential to alter shifts in average
temperature, cloud cover, wind, speed and precipitation. The strong relationship
between wind speed and cloud cover and UHI imply that changes in the magnitude of the UHI effect over the current century will depend at least in part on how
cloud cover and wind speed change. Higher temperature might increase evaporation demand and may indirectly create a positive feedback, augmenting the temIn summary, tasks of WP3 were to provide the collection of techniques to
assess the UHI phenomenon from which a selection have been chosen to be
implemented in DSS. Moreover WP3 analyzes the European and local legislation within which decisions can be taken and from which DSS development
is dependent.
Another important topic is the connection between UHI and climate
change. Climate change will amplify the UHI phenomenon and its consequences for environment and human health have to be carefully taken into
account. DSS has to consider then the projections to future scenarios to manage more useful information for administrators and stakeholders.
D. Fava et al.