Techniques for valuing adaptive capacity in flood risk management

Artificial intelligence techniques for flood risk management in urban environments

Urban flooding is estimated to cause £270 million pounds worth of damage each year in England and Wales alone. There has, therefore, been a clear need to develop improved methods of identifying intervention strategies to reduce flood risk in urban environments. This paper describes ground-work performed towards evaluating the relative suitability of several algorithms applied to multi-objective...

The use of flood risk map for flood management (urban area of Nekarood)

Flood is considered as a major threat among natural disasters in the world. This case becomes more important and has a higher risk in urban areas due to the existence of important uses. Therefore, to reduce damages resulted from flood, this phenomenon must be managed and planned using structural and non-structural approaches. Considering the development in Iran has been carried out in high risk...

On valuing information in adaptive-management models.

Active adaptive management looks at the benefit of using strategies that may be suboptimal in the near term but may provide additional information that will facilitate better management in the future. In many adaptive-management problems that have been studied, the optimal active and passive policies (accounting for learning when designing policies and designing policy on the basis of current b...

Mapping the flood-prone areas for developing a flood risk management system in the northeast of Iran

Issues and Challenges in Flood Risk Management—Editorial for the Special Issue on Flood Risk Management

Recent flood-related disasters (Japan, Thailand, US, Australia) emphasize the need for an effective management of flood risks. As an introduction to this special issue, this editorial summarizes some of the key challenges in the field. Flood risk management needs to recognize the interconnections between infrastructures, economic systems and the role of human factors in assessing and managing t...