Articles | Volume 369
https://doi.org/10.5194/piahs-369-3-2015
https://doi.org/10.5194/piahs-369-3-2015
11 Jun 2015
 | 11 Jun 2015

Modelling the interaction between flooding events and economic growth

J. Grames, A. Prskawetz, D. Grass, and G. Blöschl

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Cited articles

Bellman, R. E.: Dynamic programming and a new formalism in the calculus of variations, P. Natl. Acad. Sci. USA, 40, 231–235, 1954.
Chahim, M., Brekelmans, R. C. M., den Hertog, D., and Kort, P. M.: An impulse control approach to dike height optimization, Optimiz. Meth. Softw., 28, 458–477, 2013.
Di Baldassarre, G., Viglione, A., Carr, G., Kuil, L., Salinas, J. L., and Blöschl, G.: Socio-hydrology: conceptualising human-flood interactions, Hydrol. Earth Syst. Sci., 17, 3295–3303, https://doi.org/10.5194/hess-17-3295-2013, 2013.
Langer, S.: Sociohydrology: Conceptualising human-flood interactions, Diploma Thesis, Vienna University of Technology, Vienna, 2014.
Pontryagin, L. S.: Mathematical Theory of Optimal Processes, edited by: Pontryagin, L. S. and Boltyanskii, V. G., John Wiley & Sons Inc, 1962.
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Short summary
Communities live close to rivers and therefore are confronted with the risk of flooding. It is important to understand the drivers and mechanisms of the consumption and investment behavior of these societies in order to identify an optimal investment strategy into flood defense capital. To solve such an economic optimization model we develop a periodic water function to approximate the former discrete stochastic time series of rainfall events and apply it to an existing socio-hydrology model.