<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>SUDPLAN Services Available after FP7 and their Possible Future Use</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Sascha Schlobinski</string-name>
          <email>Sascha.Schlobinski@cismet.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Lars Gidhagen</string-name>
          <email>Lars.Gidhagen@smhi.se</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>cismet GmbH</institution>
          ,
          <addr-line>Altenkesseler Str. 17 D2, 66115 Saarbrücken</addr-line>
          ,
          <institution>Germanya Swedish Meteorological and Hydrological Institute - SMHI</institution>
          ,
          <country country="SE">Sweden</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>This paper gives an overview on the software results of the SUDPLAN project. The results can serve as a technical basis for the integration of climate change effects in urban planning, including access to adequate climate change information. End-users provide local data to improve the downscaling of climatic and environmental variables, based on regional climate model output to deliver projections of environmental conditions in the right scale for the local planning process. Downscaling is performed by a set of Common Services that deliver data describing rainfall intensity, frequency and duration; hydrological conditions; soil moisture and surface water resources; and air quality. The urban scale projections provided may be used to assess urban storm water flooding and sewer system capacities, river flooding, and citizen health. The client side functionalities necessary to integrate, visualise and support local climate change aware analyses are provided by the Scenario Management System. The general approach, the downscaling result quality, and the soundness of the technical developments are demonstrated by four representative case studies in Stockholm, Wuppertal, Linz and Prague. A large part of the results is available as Open Source software.</p>
      </abstract>
      <kwd-group>
        <kwd>climate change</kwd>
        <kwd>mitigation</kwd>
        <kwd>precipitation</kwd>
        <kwd>IDF</kwd>
        <kwd>SUDPLAN</kwd>
        <kwd>Delta Change</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>INTRODUCTION</title>
      <p>The SUDPLAN (Sustainable Urban Development Planner for Climate Change
Adaptation) project answered to the ICT-2009.6.4 call ICT for environmental services and
climate change adaptation. SUDPLAN targets the first outcome a) ICT for a better
adaptation to climate change, addressing the need for an “Easy-to-use, web-based
systems for better preparedness, decision support and mitigation of climate change
impact on population, utilities and infrastructures” and “… scenario-based prediction,
damage assessment, planning and training, 3D/4D modelling, simulation and
visualisation, as well as sensor networks”. The SUDPLAN project started in January 2012
and ended in December 2012. This paper will outline the potential use of SUDPLAN
services.</p>
    </sec>
    <sec id="sec-2">
      <title>SUDPLAN System</title>
      <p>SUDPLAN provides the means to downscale future rainfall, hydrological and air
quality data for a specific city, taking climate change into consideration. With
enduser’s local model integrated downscaled data can be seamlessly used as input for
local model simulations. Moreover, the integration, visualisation and information
management of local planning scenarios are supported. Through this SUDPLAN
integrates the effects of climate change into urban planning processes on all levels from
the Master Plan to the individual permit. SUDPLAN software comprises two
principal software components, the Scenario Management System (SMS) and the Common
Services (CS), see Fig. 1.</p>
      <p>The SMS provides the graphical user interface to access CS and consists of the
SMS Framework, Model as a Service Integration and Advanced Visualisation. It
serves as a generic integration platform to facilitate climate change induced urban
development planning. It contains tools to visualise time series and spatial data,
including advanced 3D/4D presentations. CS facilitate the access and visualisation of
climate, hydrological and air quality information on the Pan-European scale. Through
OGC service interfaces (SOS, SPS, WMS and WFS) CS expose regionally
downscaled climate scenarios forced by different global climate model results. Further,
Pan-European information allows urban downscaling of intense rainfall, hydrological
conditions and air quality. Depending on the specific CS to be used the required input
is high resolution time series of precipitation, time series of river discharge or gridded
emissions.</p>
      <p>Service layer</p>
      <p>SOS -- SPS -- WMS -- WFS</p>
      <sec id="sec-2-1">
        <title>Back-back end RF -- dPoawnEnsucroaplinegan</title>
      </sec>
      <sec id="sec-2-2">
        <title>AQ -- dPoawnEnsucroaplinegan</title>
      </sec>
      <sec id="sec-2-3">
        <title>HYD -- dPoawnEnsucroaplinegan</title>
        <p>scripts, Java API
AQ
MATCH
HYD
autocalibration
HYD
simulation
model systems,
databases</p>
        <p>RF
- time series
- IDF</p>
        <p>RF
- DSG
External computing
resources</p>
        <sec id="sec-2-3-1">
          <title>AIRVIRO</title>
          <p>SUPERCOMPUTER
HYD
HYPE</p>
        </sec>
        <sec id="sec-2-3-2">
          <title>HYPE</title>
          <p>CLOUD
Time Series</p>
          <p>Fields</p>
          <p>Emissions</p>
          <p>Time Series</p>
          <p>
            Geospatial
SUDPLAN supports planners to include future rainfall, hydrological and air quality
data on the urban or regional scale in their planning process. With SUDPLAN
planners can improve the quality of projections (future future environmental conditions)
by uploading local data [
            <xref ref-type="bibr" rid="ref1">1</xref>
            ]. This process is called “downscaling” (Fig. 3).
          </p>
          <p>Prepare Local
Data
Add Downscaled
Data to Model 
Input</p>
          <p>Upload Local
Data
Run Local
Model</p>
          <p>Start 
Downscaling
Retrieve Model 
Result</p>
          <p>Retrieve
Downscaled
Data</p>
          <p>Considering projections of environmental data is especially relevant for long term
planning because large scale infrastructure projects involve an assessment of
environmental conditions (Environmental Impact Assessments - EIA), either because they
determine the project design (e.g. dimensions of rainwater runoff pipes) or because
the project itself may impact the environment (spill of polluted water, exposure to air
pollution. EIA are often regulated by legislation, e.g. in Sweden the transport sector
follows a manual for how to and when assess the impact of planned road and rail
projects. EIAs are often required during the project construction and might continue
after the project, to confirm sound planning.</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Available Demonstrations</title>
      <p>SUDPLAN project results have been validated in four pilot applications with
significantly different urban planning issues including different CC adaptation measures like
the dimensioning of waste water pipes, the inclusion of alternative drainage options
(higher road curbs) or waste water storage capacities, demonstrating the
transferability of the approach. The two time/scale/planning phase lines in Fig. 4 illustrate the use
of SUDPLAN results in the context of an EIA.</p>
      <p>
        Stockholm, Sweden: Air quality in Stockholm today is not fulfilling the standards
given by EU and Swedish legislation. Two advantages are expected from the use of
the SUDPLAN Common Services. It is possible to assess projections of long-range
air pollution transport where both climate change and expected changes in European
emissions can be taken into account. By combining this information with results of
local models, it is possible to assess various relevant temporal and spatial scales.
SUDPLAN’s advanced 3D visualisation of air quality modelling results help them to
communicate to the politicians and the public where and why air quality problems
occur [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ].
      </p>
      <p>Wuppertal, Germany: With climate change the city of Wuppertal (Germany)
anticipates extremely localized runoff events from increased heavy, short-term rainfall.
The potential damage of public infrastructure and of private property is a major
concern. The Wuppertal case study is based upon two guiding ideas: The first is the
development of a tool that enables planners to define and run simulations of 1D-2D
sewer and surface runoff in the course of heavy storm water events and to visualise
the results of these model runs. The second is to consider the effect of climate change
on future rainfall patterns by using downscaled rainfall data that are provided as input
to the simulations [3].</p>
      <p>Linz, Austria: The focus of the Linz pilot is to estimate the impact of climate
change on the pollutant loads spilled from urban drainage systems into the natural
environment as a result of the overflow of sewer systems. Since more frequent and
heavier rainfall is expected as a result of climate change, significant impacts to the
natural ecosystem are to be expected. Therefore, long-term simulations with rainfall
runoff transport models are required in the long-term planning process, where rainfall
is the major system input. [4].</p>
      <p>Prague, Czech Republic: The overall goal of the Prague case study is to use the
SUDPLAN services in describing and assessing the state, trends and future
development of air pollution and hydrological conditions in Prague in the context of climate
change including air quality projections for different activity scenarios (energy,
transport, industry and agriculture sectors) with special focus on particulate matter and
ground level ozone. SUDPLAN have been applied in urban and spatial planning as
well as in environmental impact assessment of large infrastructural and construction
projects and agriculture, since crop yield is heavily influenced by changes in average
temperature and rainfall [5].
5</p>
    </sec>
    <sec id="sec-4">
      <title>Conclusion</title>
      <p>The SUDPLAN has produced software that can serve as a technical basis to use
climate change model results in a local context. The Scenario Management System as a
large part of the software is available as Open Source Software [6]. Common Services
are maintained at Swedish Meteorological and Hydrological Institute after the project
lifetime. Post-project development has included a simplified web application for only
rainfall downscaling, the RainPortal [7]. The application has a clear commercial
potential and is tested as a consultancy tool at Swedish Meteorological and Hydrological
Institute. The tool allows an easy and rapid way to deliver information of the risk for
future extreme rainfall events, supporting the design of water drainage and surface
runoff systems for whatever location in Europe.
6
3. Sander, S., Hoppe, H., Schlobinski, S. (2011). Integrating climate change in the urban
planning process – a case study. Environmental Software Systems. Frameworks of
eEnvironment - 9th IFIP WG 5.11 International Symposium, ISESS 2011, Brno, Czech
Republic, June 27-29, 2011. DOI 10.1007/978-3-642-22285-6_68
4. Gamerith, V.; Olsson, J.; Camhy, D.; Hochedlinger, M.; Kutschera, P.; Schlobinski, S.;
Gruber, G. (2012). Assessment of Combined Sewer Overflows under Climate Change
Urban Drainage Pilot Study Linz. IWA World Congress on Water, Climate and Energy.</p>
      <p>May 14-18, Dublin, Ireland.
5. Mertl, J., Bizek, V. (2013). Results of the SUDPLAN Czech Pilot. Submitted to Air
Quality Protection (journal, in Czech).
6. SUDPLAN Software Repositiories https://github.com/cismet/cids-custom-sudplan-linz;
https://github.com/cismet/cids-custom-sudplan;
https://github.com/cismet/cids-customsudplan-3d; https://github.com/cismet/cids-custom-sudplan-wupp;
https://github.com/danielsteffen/SUDPLAN-3D;
https://github.com/danielsteffen/SUDPLAN-3D-core
7. Kutschera, P., Olsson, J., Gidhagen, L. (2013). RainPortal - A web portal for providing
climate change related precipitation data using SUDPLAN services. Presented at ISESS
2013, Neusiedl am See 9-11 October.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Olsson</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gidhagen</surname>
            ,
            <given-names>L</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gamerith</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gruber</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hoppe</surname>
            ,
            <given-names>H.</given-names>
          </string-name>
          <article-title>and</article-title>
          <string-name>
            <surname>Kutschera</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          (
          <year>2012</year>
          ).
          <article-title>Downscaling of Short-Term Precipitation from Regional Climate Models for Sustainable Urban Planning</article-title>
          .
          <source>Sustainability</source>
          <year>2012</year>
          ,
          <volume>4</volume>
          ,
          <fpage>866</fpage>
          -
          <lpage>887</lpage>
          , doi:10.3390/su4050866.
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Gidhagen</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Engardt</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lövenheim</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Johansson</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          (
          <year>2012</year>
          ).
          <article-title>Modeling Effects of Climate Change on Air Quality and Population Exposure in Urban Planning Scenarios</article-title>
          .
          <source>Advances in Meteorology</source>
          , Volume
          <volume>2012</volume>
          ,
          <string-name>
            <surname>Article</surname>
            <given-names>ID</given-names>
          </string-name>
          240894, 12 pages, doi:10.1155/
          <year>2012</year>
          /240894
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>