A decision support system for updating and incorporating climate change impacts into rainfall intensity-duration-frequency curves: Review of the stakeholder involvement process

Stakeholder involvement can serve to increase the quality of decision support systems (DSSs) and increase the perceived legitimacy of DSS outputs. Involving those who are ultimately affected by the outputs of DSSs in system design and development also reflects democratic principles. Importantly, stakeholder involvement can help ensure that the outputs of DSSs are used in decision-making processes. However, DSSs often fail due to poor engagement of stakeholder and end-user communities in the development and design of systems. The stakeholder engagement process applied in the development of the Computerized Tool for the Development of Intensity Duration Frequency Curves under Climate Change described here followed many of the tenants of best practices identified in the literature. While the engagement strategy was generally considered successful, over- and under-representation of some stakeholder groups and long term funding issues were weaknesses in the engagement process. This paper reviews stakeholder involvement in the development of a DSS concerning climate change impacts on IDF curves.The DSS project reflected the nature of a "knowledge mobilization" funding mechanism, emphasising practical tool development.The stakeholder involvement process incorporated recommended practices and principles identified in the DSS literature.While generally successful, limited funding constrained stakeholder representativeness and long-term involvement.

[1]  M. Rivington,et al.  Raising the bar? - The challenges of evaluating the outcomes of environmental modelling and software , 2011, Environ. Model. Softw..

[2]  Carlo Giupponi,et al.  Decision Support Systems for water resources management: current state and guidelines for tool development , 2011 .

[3]  Anthony J. Jakeman,et al.  A methodology for the design and development of integrated models for policy support , 2011, Environ. Model. Softw..

[4]  Alain Mailhot,et al.  Future changes in intensity and seasonal pattern of occurrence of daily and multi-day annual maximum precipitation over Canada , 2010 .

[5]  A. Mailhot,et al.  Design criteria of urban drainage infrastructures under climate change. , 2010 .

[6]  Benoît Haut,et al.  Analysis of a large-scale water supply system of the Byzantine period using modern fluid mechanics , 2006 .

[7]  N. W. T. Quinn Environmental Information Management Systems as Templates for Successful Environmental Decision Support , 2010 .

[8]  Suzanne A. Pierce,et al.  Modelling with stakeholders e Next generation , 2015 .

[9]  Susanne C Moser,et al.  A framework to diagnose barriers to climate change adaptation , 2010, Proceedings of the National Academy of Sciences.

[10]  Nigel W.T. Quinn,et al.  Bridging the Gaps between Design and Use: Developing Tools to Support Environmental Management and Policy , 2008 .

[11]  R. Stouffer,et al.  Stationarity Is Dead: Whither Water Management? , 2008, Science.

[12]  V. Nguyen,et al.  A statistical approach to downscaling of sub-daily extreme rainfall processes for climate-related impact studies in urban areas , 2007 .

[13]  R. L. McCown,et al.  Changing systems for supporting farmers' decisions: problems, paradigms, and prospects , 2002 .

[14]  Timothy F. Smith,et al.  Adapting to climate change through local municipal planning: barriers and challenges , 2011 .

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

[16]  Brian S. McIntosh,et al.  A review of the factors which influence the use and usefulness of information systems , 2009, Environ. Model. Softw..

[17]  M. Khaliq,et al.  Canadian RCM Projected Changes to Extreme Precipitation Characteristics over Canada , 2011 .

[18]  UpadhyayaJyoti Kumari,et al.  A review of infrastructure challenges: assessing stormwater system sustainability , 2014 .

[19]  T. Kenny,et al.  CORRIGENDUM: Quantum Limit of Quality Factor in Silicon Micro and Nano Mechanical Resonators , 2014, Scientific Reports.

[20]  Slobodan P. Simonovic,et al.  Assessment on variability of extreme climate events for the Upper Thames River basin in Canada , 2012 .

[21]  Anthony J. Jakeman,et al.  Environmental decision support systems (EDSS) development - Challenges and best practices , 2011, Environ. Model. Softw..

[22]  M. Robin,et al.  Institutional Adaptation of Water Resource Infrastructures to Climate Change in Eastern Ontario , 2006 .

[23]  Sophie Duchesne,et al.  Impacts et adaptations liés aux changements climatiques (CC) en matière de drainage urbain au Québec. , 2007 .

[24]  Thomas C. Beierle Democracy in Practice: Public Participation in Environmental Decisions , 2010 .

[25]  Daniel J. Fiorino Citizen Participation and Environmental Risk: A Survey of Institutional Mechanisms , 1990 .

[26]  D. Engi,et al.  The vital issues process: Strategic planning for a changing world , 1995 .

[27]  Michael R. Boswell,et al.  Climate Change Adaptation Strategies , 2012 .

[28]  H. G. Wind,et al.  From Design to Application of a Decision-support System for Integrated River-basin Management , 2009 .

[29]  Slobodan P. Simonovic,et al.  Development of rainfall intensity duration frequency curves for the City of London under the changing climate , 2007 .

[30]  William G. Booty,et al.  Design and implementation of an environmental decision support system , 2001, Environ. Model. Softw..

[31]  Lawrence D. Pohlmann,et al.  Requirements By Collaboration , 2003 .

[32]  Tim Oxley,et al.  Integrated modelling and decision-support tools: a Mediterranean example , 2004, Environ. Model. Softw..

[33]  Ellen Gottesdiener Requirements by Collaboration: Workshops for Defining Needs , 2002 .

[34]  Blake Ives,et al.  An empirical study of the impact of user involvement on system usage and information satisfaction , 1986, CACM.

[35]  D. Sandink,et al.  Public relief and insurance for residential flood losses in Canada: Current status and commentary , 2016 .

[36]  A. Aghakouchak,et al.  Nonstationary Precipitation Intensity-Duration-Frequency Curves for Infrastructure Design in a Changing Climate , 2014, Scientific Reports.

[37]  Herbert A. Simon,et al.  The new science of management decision , 1960 .

[38]  Enrico Feoli,et al.  Application of a spatial decision support system (SDSS) to reduce soil erosion in northern Ethiopia , 2003, Environ. Model. Softw..

[39]  W. O. Ochola,et al.  An integrated indicator-based spatial decision support system for land quality assessment in Kenya , 2004 .

[40]  F. Warren,et al.  From impacts to adaptation: Canada in a changing climate 2007 , 2008 .

[41]  Alexey A. Voinov,et al.  Participatory modeling and the dilemma of diffuse nitrogen management in a residential watershed , 2007, Environ. Model. Softw..

[42]  J. Glicken Getting stakeholder participation ‘right’: a discussion of participatory processes and possible pitfalls , 2000 .

[43]  François Bousquet,et al.  Modelling with stakeholders , 2010, Environ. Model. Softw..

[44]  Mark Srite,et al.  Effects of individuals' psychological states on their satisfaction with the GSS process , 2007, Inf. Manag..

[45]  D. Pohle,et al.  Evaluating the characteristics of a non-standardised Model Requirements Analysis (MRA) for the development of policy impact assessment tools , 2013, Environ. Model. Softw..

[46]  D. Caya,et al.  Assessment of future change in intensity–duration–frequency (IDF) curves for Southern Quebec using the Canadian Regional Climate Model (CRCM) , 2007 .

[47]  Ralph H. Sprague,et al.  Invited Article: A Framework for the Development of Decisoin Support Systems , 1980, MIS Q..

[48]  Jules Pretty,et al.  Participatory learning for sustainable agriculture , 1995 .

[49]  Michael Winter,et al.  Valuing local knowledge as a source of expert data: Farmer engagement and the design of decision support systems , 2012, Environ. Model. Softw..

[50]  Caspar J. M. Hewett,et al.  Towards new types of water-centric collaboration , 2010 .

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

[52]  D. Caya,et al.  Future changes in intense precipitation over Canada assessed from multi‐model NARCCAP ensemble simulations , 2012 .

[53]  Henri Barki,et al.  Measuring User Participation, User Involvement, and User Attitude , 1994, MIS Q..

[54]  Watted,et al.  Critical review of the evolution of the design storm event concept , 2013 .

[55]  P. Jeffrey,et al.  On the Design of Computer-Based Models for Integrated Environmental Science , 2005, Environmental management.

[56]  Slobodan P. Simonovic,et al.  Rainfall Intensity Duration Frequency Curves Under Climate Change: City of London, Ontario, Canada , 2012 .

[57]  Pieter W. G. Bots,et al.  A Framework for Clarifying “Participation” in Participatory Research to Prevent its Rejection for the Wrong Reasons , 2010 .

[58]  Barry J. Adams,et al.  Design Storm Pathology , 1986 .

[59]  K. Korfmacher The Politics of Participation in Watershed Modeling , 2001, Environmental management.

[60]  E. Gaddis,et al.  Lessons for successful participatory watershed modeling: A perspective from modeling practitioners , 2008 .