A GIS-based decision support system for integrated flood management under uncertainty with two dimensional numerical simulations

2011 ◽  
Vol 26 (6) ◽  
pp. 817-821 ◽  
Author(s):  
Honghai Qi ◽  
M.S. Altinakar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Numerical Simulations ◽  
Support System ◽  
Flood Management ◽  
Two Dimensional

scholarly journals Decision support system for urban flood management

2005 ◽  
Vol 7 (1) ◽  
pp. 3-15 ◽  
Author(s):  
A. J. Abebe ◽  
R. K. Price
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Data Acquisition ◽  
Support System ◽  
Urban Areas ◽  
Flood Management ◽  
Urban Flood ◽  
Flood Warning ◽  
Forecast Models

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.

scholarly journals Decision Support System for flood management in Batang Arau river basin

2020 ◽  
Vol 156 ◽  
pp. 04005
Author(s):  
Nurhamidah Nurhamidah ◽  
Ahmad Junaidi ◽  
Arraufi Hasyim Nz
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
River Basin ◽  
Support System ◽  
Flood Control ◽  
Flood Management ◽  
Flood Event ◽  
Flood Events ◽  
West Sumatra ◽  
Hierarchy Process

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.

scholarly journals Developing a Web-based decision support system for reservoir flood management

2020 ◽  
Vol 22 (3) ◽  
pp. 641-662
Author(s):  
Mokhtar Ghobadi ◽  
Hesam Seyed Kaboli
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Flood Control ◽  
Initial Conditions ◽  
Stable Condition ◽  
Flood Management ◽  
Flood Damage ◽  
Time Step ◽  
Web Based

Abstract Proper management of reservoirs in flood conditions minimizes flood damage and keeps the reservoir in a stable condition. This paper presents a Web-based decision support system of reservoir flood management (WDRFM) for reservoirs with gated spillways. WDRFM is capable of estimating the current situation of the reservoir and before the flood reaches the reservoir, provides the operator with suggestions to have optimal control over gates, using multistage simulation-optimization models to minimize flood damage downstream. Investigating the possibility of changing the dam's discharge gates, carrying out dam pre-release, and announcing relevant flood control warnings can all be performed by WDRFM, while allowing the operator to determine such observations and make final decisions on a time step basis. To assess the performance of WDRFM, 15 scenarios in four groups for flood management were defined on April 14, 2016 at Dez Dam, Iran. A comparison of one scenario with similar initial conditions with the occurrence of flood event has shown that a daily peak discharge shows 997 m3/s decrease from that recorded by the operator. The ability to examine different scenarios based on the conditions at any time in the WDRFM enables the decision-makers and operators to confront various circumstances.

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