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perature difference between city and rural setting. Though the magnitude of
urban–suburban differences may not increase, the population affected by severe
pollution episodes may increase as UHI-like conditions become more frequent in
outlying suburban locations, presenting additional challenges for policy-makers.
5.4.2 WP4
A large work to be implemented in DSS comes also from WP4 that is divided in
three main actions.
• Within Action 4.1. a permanent Transnational Network (TN) among experts scientifi c and institutional involved was set up. TN monitors UHI in CE area; in
addition it develops shared and coordinated strategies in urban planning and land
using. Task of the Transnational Focus Groups was to manage the knowledge
fl ow between partners and stakeholders and to share competence and knowledge
on thematic issues with Local Working Groups.
• Action 4.2. Methodology and areas defi nition: defi nition of sensible indicators,
sampling procedures and analysis tools are fundamental issues that need to be
shared for a common methodology and compare different characteristics of
urban areas. A gold standard in assessment of UHIs and in the respective data
sampling, accessing and processing has been defi ned. Cities without a monitoring network suitable for monitoring UHI should take gold standard as a prototype in creating a new monitoring system. Cities with already existing monitoring
systems was asked to adapt their systems to this gold standard, to allow a better
coverage of phenomenon and to enhance the comparability between different
cities.
• Action 4.3. CE UHIs web database and Atlas: the shared web databases implemented through input from existing local partners/institutions allows to monitor
the specifi c situation. Here, the measurements and data obtained and analysed
have been designed to describe as well as possible the intensity of phenomenon
and its characteristics. Direct surveys conducted by applying both traditional
urban biometeorology techniques and remote sensing techniques, allowed to
collect many data and information about the micro–macro meteorological conditions. CE Atlas implementation foresees digitalization and geo-referencing of
data collected. Creation of a GIS based data processing tool, where all informaIn summary from WP4 we acquired for DSS the gold standard to defi ne and
to monitor UHIs with common and accepted rules. Moreover Act. 4.3 gave
rise to the web database from which DSS will acquire information for model
running.
5 Decision Support Systems for Urban Planning
perature difference between city and rural setting. Though the magnitude of
urban–suburban differences may not increase, the population affected by severe
pollution episodes may increase as UHI-like conditions become more frequent in
outlying suburban locations, presenting additional challenges for policy-makers.
5.4.2 WP4
A large work to be implemented in DSS comes also from WP4 that is divided in
three main actions.
• Within Action 4.1. a permanent Transnational Network (TN) among experts scientifi c and institutional involved was set up. TN monitors UHI in CE area; in
addition it develops shared and coordinated strategies in urban planning and land
using. Task of the Transnational Focus Groups was to manage the knowledge
fl ow between partners and stakeholders and to share competence and knowledge
on thematic issues with Local Working Groups.
• Action 4.2. Methodology and areas defi nition: defi nition of sensible indicators,
sampling procedures and analysis tools are fundamental issues that need to be
shared for a common methodology and compare different characteristics of
urban areas. A gold standard in assessment of UHIs and in the respective data
sampling, accessing and processing has been defi ned. Cities without a monitoring network suitable for monitoring UHI should take gold standard as a prototype in creating a new monitoring system. Cities with already existing monitoring
systems was asked to adapt their systems to this gold standard, to allow a better
coverage of phenomenon and to enhance the comparability between different
cities.
• Action 4.3. CE UHIs web database and Atlas: the shared web databases implemented through input from existing local partners/institutions allows to monitor
the specifi c situation. Here, the measurements and data obtained and analysed
have been designed to describe as well as possible the intensity of phenomenon
and its characteristics. Direct surveys conducted by applying both traditional
urban biometeorology techniques and remote sensing techniques, allowed to
collect many data and information about the micro–macro meteorological conditions. CE Atlas implementation foresees digitalization and geo-referencing of
data collected. Creation of a GIS based data processing tool, where all informaIn summary from WP4 we acquired for DSS the gold standard to defi ne and
to monitor UHIs with common and accepted rules. Moreover Act. 4.3 gave
rise to the web database from which DSS will acquire information for model
running.
5 Decision Support Systems for Urban Planning