Sequential Identification of Flood Response Surfaces - Example Code and Data

This package contains R and Python code for identifying flood damage response surfaces as described in the article "Evaluating Flood Risk under Non-stationary Climate and Urban Development Conditions – A Scenario-Neutral Experimental Setup". The code can be used to identify the reference response surfaces considered in the article. The corresponding example data are also included in the package. In addition, an R-script is provided which can be used to compute expected flood damages from the response surfaces, considering both coastal and pluvial hazards. Please refer to the ReadMe file and the descriptions in the scripts for details.

This research has been financially supported by the Australian Government through the CRC for Water Sensitive Cities.

Related Organizations

Technical University of Denmark
Denmark

Keywords

Kriging, Experimental Design, Mathematical Modelling, Urban Flooding, Flood Adaptation Planning

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average