title: Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis.
abstract: In this article, we propose an integrated direct and indirect flood risk model for small- and large-scale flood events, allowing for dynamic modeling of total economic losses from a flood event to a full economic recovery. A novel approach is taken that translates direct losses of both capital and labor into production losses using the Cobb-Douglas production function, aiming at improved consistency in loss accounting. The recovery of the economy is modeled using a hybrid input-output model and applied to the port region of Rotterdam, using six different flood events (1/10 up to 1/10,000). This procedure allows gaining a better insight regarding the consequences of both high- and low-probability floods. The results show that in terms of expected annual damage, direct losses remain more substantial relative to the indirect losses (approximately 50% larger), but for low-probability events the indirect losses outweigh the direct losses. Furthermore, we explored parameter uncertainty using a global sensitivity analysis, and varied critical assumptions in the modeling framework related to, among others, flood duration and labor recovery, using a scenario approach. Our findings have two important implications for disaster modelers and practitioners. First, high-probability events are qualitatively different from low-probability events in terms of the scale of damages and full recovery period. Second, there are substantial differences in parameter influence between high-probability and low-probability flood modeling. These findings suggest that a detailed approach is required when assessing the flood risk for a specific region.
authors.affiliation: Institute for Environmental Studies (IVM), VU University Amsterdam, Amsterdam, The Netherlands.
authors.forename: E E
authors.initials: EE
authors.lastname: Koks
authors.affiliation: Department of Spatial Economics, VU University Amsterdam, Amsterdam, The Netherlands.
authors.forename: M
authors.initials: M
authors.lastname: Bočkarjova
authors.affiliation: Institute for Environmental Studies (IVM), VU University Amsterdam, Amsterdam, The Netherlands.
authors.forename: H
authors.initials: H
authors.lastname: de Moel
authors.affiliation: Institute for Environmental Studies (IVM), VU University Amsterdam, Amsterdam, The Netherlands.
authors.forename: J C J H
authors.initials: JC
authors.lastname: Aerts
keywords: Flood duration; flood risk modeling; indirect losses; input-output model