Decision Support System for Urban Flood Management in the Cazones River Basin

Author(s):  
A. Cristóbal Salas ◽  
J. M. Cuenca Lerma ◽  
B. Santiago Vicente ◽  
H. L. Monroy Carranza
2005 ◽  
Vol 7 (1) ◽  
pp. 3-15 ◽  
Author(s):  
A. J. Abebe ◽  
R. K. Price

This paper presents the development of a decision support system (DSS) for flood warning and instantiation of restoration activities in two urban areas, the Liguria Region in Italy and the Greater Athens catchment in Greece, with the potential of extension to other locations with similar flooding problems. The tool is designed to work at the centre of a set of meteorological and hydrologic/hydraulic forecast models together with telemetric data acquisition networks. The study reveals the complexity and uncertainty involved in managing flooding in the study areas. Issues about the validity and extended benefits of the system are also discussed.


2020 ◽  
Vol 156 ◽  
pp. 04005
Author(s):  
Nurhamidah Nurhamidah ◽  
Ahmad Junaidi ◽  
Arraufi Hasyim Nz

Flood is one of the most vulnerable disasters in Indonesia. Batang Arau river basin is located in the West Sumatra province, which is one of the areas that often experience the flood. Since 1894, a number of measures have been taken to control flooding in the Batang Arau river basin. However, until now, the incidence of flooding is still not appropriately resolved. The aim of this study is to identify the areas that had the worst impact due to flood events in the Batang Arau river basin over the past 10 years and then identify the leading causes of the flood event. After that, the Decision Support System (DSS) was carried out using the Analytical Hierarchy Process (AHP) method to determine the suitable measures both structural and no structural for flood control in the Batang Arau. In order to achieve these objectives, data was taken in the form of; the historical flood event over past 10 years, the factors causing flood events based on field observations and review studies, and Measures to control flood events according to experts. So that the results of this study will be able to describe short-term and long-term for flood management, which are adaptable for future flood management strategy.


Author(s):  
Yue-Ping Xu ◽  
Martijn J. Booij

This paper describes validation of an appropriateness framework, which has been developed in a former study, to determine appropriate models under uncertainty in a decision support system for river basin management. Models are regarded as ‘appropriate’ if they produce final outputs within adequate uncertainty bands that enable decision-makers to distinguish or rank different river engineering measures. The appropriateness framework has been designed as a tool to stimulate the use of models in decision-making under uncertainty and to strengthen the communication between modelers and decision-makers. Through the application to a different river with different objectives in this validation study from the river used in the development stage, this paper investigates whether the appropriateness framework works in a different situation than it was designed for. Recommendations from the development stage are taken into account in this validation case study as well. The final results from the study showed a successful validation of the appropriateness framework and suggested further possibilities for the application in decision support systems for river basin management.


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