Public Policy Center, University of Nebraska
Date of this Version
2015
Citation
Published in Journal of Natural Resources Policy Research 7:1 (2015), pp. 41–51. doi: 10.1080/19390459.2014.970800
Abstract
Advances in probabilistic forecasting, notably based on ensemble prediction systems, are transforming flood risk management. Four trends shaping the assimilation of probabilistic flood forecasting into flood risk management are longer forecasting lead times, advances in decision-making aids, inclusion of probabilistic forecasting in hazard mitigation and collaboration between researchers and managers. Confronting how to use probabilistic flood forecasts to make binary management decisions for reducing flood losses requires developing institutional capacity while acknowledging flood risk estimation is one component of decision making under uncertainty in an evolving policy landscape.
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Emergency and Disaster Management Commons, Environmental Engineering Commons, Mass Communication Commons, Policy Design, Analysis, and Evaluation Commons, Social Influence and Political Communication Commons, Social Statistics Commons, Urban Studies and Planning Commons
Comments
Copyright © 2014 Taylor & Francis. Used by permission.