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Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Flood risk modelling based on tangible and intangible urban flood damage quantification.

J A E ten Veldhuis¹, F H L R Clemens

¹Department of Water Management, DeIft University of Technology, DeIft, The Netherlands. j.a.e.tenVeldhuis@tudelft.nl

Water Science and Technology : a Journal of the International Association on Water Pollution Research

|July 3, 2010

Summary

This study introduces a new method using municipal call centre data to quantify urban flood damage, especially intangible impacts like traffic disruption. This approach offers a more comprehensive understanding of flood risks than traditional methods.

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Area of Science:

Environmental Science
Urban Planning
Risk Management

Background:

Traditional stage-damage functions inadequately quantify intangible urban flood damages.
Urban floods in flat areas cause significant disruptions like traffic and pedestrian inconvenience.
Existing methods often overlook the real-world impact on citizens.

Purpose of the Study:

To present an alternative method for quantifying urban flood damage using municipal call centre data.
To assess intangible flood impacts and compare them with tangible property damage.
To support prioritization of flood risk reduction strategies.

Main Methods:

Utilizing 10 years of municipal call centre data detailing urban flood consequences.
Linking call data to specific flood incidents and assigning them to damage classes.
Developing risk curves based on aggregated and detailed damage classes.

Main Results:

Call centre data provide valuable insights into flood impacts, complementing hydraulic models.
Flood risk from traffic disturbance is greater than private property damage and human health risks.
Detailed risk curves highlight varying flood risks across different urban occupational uses.

Conclusions:

Municipal call centre data offer a robust method for quantifying urban flood damage, especially intangible effects.
This data-driven approach enhances flood risk analysis and informs targeted risk reduction actions.
Understanding citizen-reported impacts is crucial for effective urban flood management.