Urban flash floods happen rapidly and cause severe damages to facilities and social structures in a
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very short time. The main reason is considered as climate change together with increased human-nature
interference. On July 1987 the 26th a devastating flood happened to north of Tehran. The number of
death people registered as 300 and a large amount of losses was happened to different stakeholders.
There have been hired a variety of structural(S) and non-structural(N.S) approaches to flood loss
mitigation upon the time. The application of flood warning system as one of the non structural flood
management approaches has appeared successfully in flood loss reduction especially in urban areas
worldwide.
Decision support system (DSS) is one of the kinds of knowledge-base systems that aids decision
makers in adopting efficient decisions when facing with disastrous situations which in turn leads to make
better decisions and to find better solutions in the mean time. The combined set-up of FWS and DSS
consists of several elements and layers containing some hydrological(rainfall-runoff), hydraulic and
meteorological models that convert the related data of prediction including meteorological
data(precipitation, snow, cloud) into flood related information(the depth, encroachment area and
magnitude of flood) in real time. Then the degree of the foresight flood can be estimated as low, medium
or high based on the flood parameters itself and also the side effects. Having in mind that the flood
degree is an efficient parameter of decision making in emergency situations and is considered as a basis
for doing any action by local authorities in preparation phase and also in response to the flashflood.
This paper focuses on designing the architecture of a practical DSS-FW system for northern Tehran
basin which is part of an ongoing project. The outcomes of the study show that meteorological prediction
together with organizational set-up plays a vital role in emergency management of the study region.
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