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Title: Crowdsourcing and interactive modelling for urban flood management
Authors: Gebremedhin, E T
et al.
Keywords: Flood Control::Forecast, पूर्वानुमान, Previsiones, পুর্বাভাস
Flood Control::Disaster Risk Reduction networks, विपद् जोखिम न्यूनिकरण सञ्जालहरु Redes de gestión del riesgo de desastres, দুর্যোগ ঝুঁকি হ্রাস ভিত্তিক নেটওয়ার্ক
Issue Date: 2020
Publisher: Journal of Flood Risk Management
Abstract: Participatory modelling has become a growing concept in environmental modelling, as it allows stakeholders to be involved in various stages of model development. The majority of studies, however, have focused on the participation during model use for scenario analysis and strategy evaluation after the model has been developed. Large‐scale community mapping efforts create new opportunities to establish, detail and improve flood models at the development stage by working together with local stakeholders. In this article, we propose a novel participatory modelling and mapping approach. It builds on the community mapping projects across the most vulnerable wards in Dar es Salaam, Tanzania, which uses OpenStreetMap as a data platform. The approach consists of community mapping, an automated flood inundation model development and facilitation of stakeholder involvement. The participation of stakeholders in data collection helped achieving a more accurate flood model. The participatory modelling approach made participants aware of the skills necessary to develop an urban flood model with OpenStreetMap, necessary for creating a resilient society. The level of improvement obtained through the applied participatory modelling and mapping approach demonstrates its value in hydrodynamic model development and its potential for application in data scarce areas prone to urban floods.
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