Collaborative modelling for active involvement of stakeholders in urban flood risk management

Abstract. This paper presents an approach to enhance the role of local stakeholders in dealing with urban floods. The concept is based on the DIANE-CM project (Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk) of the 2nd ERANET CRUE funding initiative. The main objective of the project was to develop and test an advanced methodology for enhancing the resilience of local communities to flooding. Through collaborative modelling, a social learning process was initiated that enhances the social capacity of the stakeholders due to the interaction process. The other aim of the project was to better understand how data from hazard and vulnerability analyses and improved maps, as well as from the near real-time flood prediction, can be used to initiate a public dialogue (i.e. collaborative mapping and planning activities) in order to carry out more informed and shared decision-making processes and to enhance flood risk awareness. The concept of collaborative modelling was applied in two case studies: (1) the Cranbrook catchment in the UK, with focus on pluvial flooding; and (2) the Alster catchment in Germany, with focus on fluvial flooding. As a result of the interactive and social learning process, supported by sociotechnical instruments, an understanding of flood risk was developed amongst the stakeholders and alternatives for flood risk management for the respective case study area were jointly developed and ranked as a basis for further planning and management.

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Learning and Action Alliance framework to facilitate stakeholder collaboration and social learning in urban flood risk management

Environmental Science & Policy ◽

10.1016/j.envsci.2017.10.013 ◽

2018 ◽

Vol 80 ◽

pp. 1-8 ◽

Cited By ~ 24

Author(s):

E.C. O’Donnell ◽

J.E. Lamond ◽

C.R. Thorne

Keyword(s):

Risk Management ◽

Social Learning ◽

Flood Risk ◽

Flood Risk Management ◽

Urban Flood ◽

Stakeholder Collaboration ◽

Urban Flood Risk

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Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment

10.5194/egusphere-egu21-4221 ◽

2021 ◽

Author(s):

Louise Petersson ◽

Marie-Claire ten Veldhuis ◽

Govert Verhoeven ◽

Zoran Kapelan ◽

Innocent Maholi ◽

...

Keyword(s):

Risk Management ◽

Data Acquisition ◽

Flood Risk ◽

Drainage System ◽

Flood Risk Management ◽

Future Research ◽

Flood Modeling ◽

Flood Prediction ◽

Urban Flood ◽

Community Mapping

<p>We demonstrate a framework for urban flood modeling with community mapped data, particularly suited for flood risk management in data-scarce environments. The framework comprises three principal stages: data acquisition with survey design and quality assurance, model development and model implementation for flood prediction. We demonstrate that data acquisition based on community mapping can be affordable, comprehensible, quality assured and open source, making it applicable in resource-strained contexts. The framework was demonstrated and validated on a case study in Dar es Salaam, Tanzania. The results obtained show that the community mapped data supports flood modeling on a level of detail that is currently inaccessible in many parts of the world. The results obtained also show that the community mapping approach is appropriate for datasets that do not require extensive training, such as flood extent surveys where it is possible to cross-validate the quality of reports given a suitable number and density of data points. More technically advanced features such as dimensions of urban drainage system elements still require trained mappers to create data of sufficient quality. This type of mapping can, however, now be performed in new contexts thanks to the development of smartphones. Future research is suggested to explore how community mapping can become an institutionalized practice to fill in important gaps in data-scarce environments.</p>

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Learning from Japan's Experience in Integrated Urban Flood Risk Management: A Series of Knowledge Notes

10.1596/33379 ◽

2020 ◽

Author(s):

Keyword(s):

Risk Management ◽

Flood Risk ◽

Flood Risk Management ◽

Urban Flood ◽

Urban Flood Risk

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Sociotechnical Framework for Participatory Flood Risk Management via Collaborative Modeling

International Journal of Information Systems and Social Change ◽

10.4018/jissc.2013040101 ◽

2013 ◽

Vol 4 (2) ◽

pp. 1-16 ◽

Cited By ~ 7

Author(s):

Andreja Jonoski ◽

Mariele Evers

Keyword(s):

Risk Management ◽

Social Learning ◽

Flood Risk ◽

Flood Risk Management ◽

Shared Understanding ◽

Web Based ◽

European Context ◽

Collaborative Modeling ◽

Key Stakeholders ◽

Collaborative Platform

This article introduces a sociotechnical framework for conceptualization, design and development of participatory Flood Risk Management (FRM) processes. The framework enables a collaborative modeling approach, in which FRM activities are jointly carried out by authorities responsible for FRM, key stakeholders and the potentially affected citizens. Given the technical and social complexity of FRM, the article argues for adoption of the proposed framework as a means for realizing individual and social learning among all involved actors, which leads to shared understanding of the identified flood risks and potentially to commonly agreed FRM alternatives and strategies. Implementation of the framework critically depends on a web-based collaborative platform – a tool that supports all collaborative modeling activities. The framework is presented from within European context of FRM, but its relevance is broader and it can potentially be adopted in other social and geographical areas.

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