An Operational Web-Based Indicator System for Integrated Coastal Zone Management

Coastal zones are under severe pressure from anthropogenic activities, as well as on-going climate change with associated sea level rise and increased storminess. These challenges call for integrated and forward looking solutions. The concept on Integrated Coastal Zone Management, as defined during the last twenty years, provides the overall policy frames, but tools to support the planning and management efforts are almost lacking. Furthermore, the forward-looking dimension to embrace the effects of climate change is nearly absent in most implementations. The BLAST project, financed by the European Union Regional Fund through the INTERREG IV North Sea Region Programme, aimed at developing a web-based decision support system to assist Integrated Coastal Zone Management from a climate change perspective, and the current paper describes the methods used and the computing platform for implementing a decision support system. The software applied in developing the system is mainly Open Source components, thus, facilitating a more widespread use of the system.

[1]  S. Solomon.  The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[2]  Ken Bunzel,et al.  Up in the air: adventures in serving geospatial data using open source software and the cloud , 2010, COM.Geo '10.

[3]  Sheng Gao,et al.  Online GIS services for mapping and sharing disease information , 2008, International journal of health geographics.

[4]  Jesse Cleary,et al.  Advancing Global Marine Biogeography Research with Open-source GIS Software and Cloud Computing , 2012, Trans. GIS.

[5]  J. Alder,et al.  Coastal Planning and Management , 2009 .

[6]  H. Couclelis.  “Where has the Future Gone?” Rethinking the Role of Integrated Land-Use Models in Spatial Planning , 2005 .

[7]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[8]  Perez Antonio Santiago.  OpenLayers Cookbook , 2012 .

[9]  Henning Sten Hansen,et al.  Towards Spatially Enabled e-Governance: A Case Study on SDI implementation , 2011 .

[10]  Erik Hazzard,et al.  OpenLayers 2.10 Beginner's Guide , 2011 .

[11]  Roger White,et al.  The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics , 1997 .

[12]  Robert Gilmore Pontius,et al.  Spatial Decision Support Systems , 2015 .

[13]  P. Bruun.  The Bruun rule of erosion by sea - level rise: a discussion on large - scale two and three - dimensi , 1988 .

[14]  J. Palutikof,et al.  Climate change 2007 : impacts, adaptation and vulnerability , 2001 .

[15]  B. Menne,et al.  Impacts of Europe's changing climate – 2008 indicator based assessment , 2009 .

[16]  Masson-Delmotte,et al.  The Physical Science Basis , 2007 .

[17]  W. Solecki,et al.  Downscaling climate change scenarios in an urban land use change model. , 2004, Journal of environmental management.

[18]  Robert J. Nicholls,et al.  Climate change and coastal management on Europe's coast , 2005 .

[19]  Frank Van Kouwen,et al.  Applicability of Decision Support Systems for Integrated Coastal Zone Management , 2007 .

[20]  Alexei G. Sankovski,et al.  Special report on emissions scenarios : a special report of Working group III of the Intergovernmental Panel on Climate Change , 2000 .

[21]  Henning Sten Hansen.  An Adaptive Land-use Simulation Model for Integrated Coastal Zone Planning , 2007, AGILE Conf..

[22]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[23]  Nicola Pirrone,et al.  The Driver-Pressure-State-Impact-Response (DPSIR) approach for integrated catchment-coastal zone management: preliminary application to the Po catchment-Adriatic Sea coastal zone system , 2005 .

[24]  Henning Sten Hansen.  Empirically Derived Neighbourhood Rules for Urban Land-Use Modelling , 2012 .

[25]  C. Lavalle,et al.  Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata , 2003 .

[26]  Henning Sten Hansen,et al.  Open Government Data - A Key Element in the Digital Society , 2013, EGOVIS/EDEM.

[27]  Keith C. Clarke,et al.  A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area , 1997 .

[28]  H. Hansen.  Modelling the future coastal zone urban development as implied by the IPCC SRES and assessing the impact from sea level rise , 2010 .

[29]  Patrick N. Halpin,et al.  Raster modelling of coastal flooding from sea‐level rise , 2008, Int. J. Geogr. Inf. Sci..

[30]  J. Palutikof,et al.  Climate change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .