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Evacuation No Option For Flood In Netherland's Most Populous Area

Date:
December 27, 2006
Source:
Delft University of Technology
Summary:
A flood in the southern Randstad will claim thousands of victims. And evacuating the area would only save precious few lives, TU Delft researcher Bas Jonkman states in the latest edition of Delft Outlook (Delft Integraal).

Red dots: casualties per district; blue areas: flood depth in metres.
Credit: Image courtesy of Delft University of Technology

A flood in the southern Randstad will claim thousands of victims. And evacuating the area would only save precious few lives, TU Delft researcher Bas Jonkman states in the latest edition of Delft Outlook (Delft Integraal).

If the seawalls at Den Haag and Ter Heijde are breached and the fast-flowing seawater floods the polder land behind the dikes, there will be more than 4,000 casualties, according to a new calculation method devised by TU Delft PhD candidate Bas Jonkman.

Jonkman's method also reveals that evacuating this area would only save at most 600 lives. "It's possible to predict a North Sea storm a day or two in advance," Jonkman says. 'But before an evacuation could begin, the government would deliberate and everyone would have to be warned. Then, people would pack up their belongings. All this would cost a lot of time."

However, in the less densely populated polder lands along the rivers, if people were warned well enough in advance of an impending flood, Jonkman's model predicts that an evacuation would indeed save many lives. For the densely populated polders bordering the coastline, Jonkman says it would be more effective for example to build stronger and higher dikes, as this would reduce the likelihood of a flood.

Until now, various rules of thumb have been used to estimate the number of possible casualties resulting from a flood. Jonkman's model for estimating casualties is more precise. It consists of various parts, including a model that simulates an evacuation and thereby determines how many people would still be in the area if the dike were breached. Determining how many of these people would survive is dependent on how fast the water flows, how fast the water rises and how deep the water is. To make such predictions, Jonkman uses a model that was developed by TU Delft and the research institute WL Delft Hydraulics. Jonkman combined the models to simulate the evacuation and the course of the flood.

The majority of Jonkman's doctoral research was devoted to devising the so-called 'victim functions'. 'If the water is four meters deep, then 20 percent of the people in that area would not survive', is an example of how this function works. For the victim functions, Jonkman based his data on the calamitous flood in the Netherlands in 1953 and other such disasters. To determine if his model's findings were realistic, Jonkman also processed data from the floods caused by Hurricane Katrina in August 2005, when the dikes protecting New Orleans were breached. Jonkman's model calculated 2,000 victims for that disaster – a figure that Jonkman is pleased with: "This is of the same order of magnitude as the 1,100 bodies that have actually been recovered so far."

An in-depth article about this research subject has been published in the latest edition of Delft Integraal / Delft Outlook, the independent science magazine of TU Delft. (http://www.delftintegraal.tudelft.nl).


Story Source:

The above story is based on materials provided by Delft University of Technology. Note: Materials may be edited for content and length.


Cite This Page:

Delft University of Technology. "Evacuation No Option For Flood In Netherland's Most Populous Area." ScienceDaily. ScienceDaily, 27 December 2006. <www.sciencedaily.com/releases/2006/12/061207160203.htm>.
Delft University of Technology. (2006, December 27). Evacuation No Option For Flood In Netherland's Most Populous Area. ScienceDaily. Retrieved July 28, 2014 from www.sciencedaily.com/releases/2006/12/061207160203.htm
Delft University of Technology. "Evacuation No Option For Flood In Netherland's Most Populous Area." ScienceDaily. www.sciencedaily.com/releases/2006/12/061207160203.htm (accessed July 28, 2014).

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