Smart Water Management With Integrated DSS

Flood Management

Flood Management 

University of Málaga, Softcrits and Abeinsa will provided joint results in river basin simulation and dam management obtained in two collaborative projects: a) the strategic research consortium TecoAgualeaded by two companies of Abengoa group (Befesa Agua, now part of Abeinsa, and Abengoa Water) and founded by the Spanish government (CENIT programme) and the European Commission (ERDF funds); and b) the collaboration between Softcrits, University of Málaga and UTE-Hidrosur (a cluster of companies leaded by Abeinsa to implement new tools for Agencia Andaluza del Agua).

To solve the problems in the simulation of the river basin, these partners developed a GIS-based framework, Hydroview, which features an advanced graphic user interface, dynamic schemes of input/output data manipulation and time series data centralization, thus providing a flexible and highly configurable approach for the development of concrete river basin simulation applications. The user interacts with the system simply enabling (static or dynamic) GIS layers to be displayed on a central map and also selecting groups of points in order to plot data of diverse sources (e.g. model result,observed values, weather forecast). The entire system configuration is specified in a collection of XMLfiles. The XML format is also used for the communication with any required external component (e.g.simulation process, hydro-graphic database). The description of the system tasks (e.g. model invocation)is carried out indicating the assemblies and classes that will be loaded and executed at runtime.
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Flood Risk Management (Hydroview)-video:

Flood Risk Management (BeDam)-video:

 Figure 1. Hydroview interface 

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In the case of dam management, we developed new optimization techniques. Instead of using approximated methods like fuzzy logic or neural networks, we use exact methods that informs whether a solution is possible or not and the valid solutions when they exist. We also focus on considering unexpected situations in real-time (for example, the lack of electricity to operate some spillways). We also allow a rich graphical way to describe complex optimization objectives, like a particular outflow curve (with a given tolerance). In our framework [Gallardo et al. 2011], we combine formal languages and mathematical equations to model the behaviour and the interactions among the active components in the dam (spillways and other discharge elements, inflow and outflow, human operator, etc.) and the operator desired objective (usually described as curves describing the evolution in the dam level and the global outflow). Then, we use the search capabilities of model checking [Clarke 1997] [Holzmann 2003]to find out the best sequences of operations on the spillways and other elements to control de dam.The framework also supports the simulation of the proposals before applying the decisions. This novel technique has been implemented in the prototype tool HIDAM (Hidrosur Dam Management). HIDAM is a powerful DSS for dam management in flood episodes that can provide in a few minutes the suggested actions to be performed by the manager during a flood episode.

Figure 2. HIDAM output (suggested actions and expected outflows)

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Hydroview and HIDAM were combined in a prototype DSS to manage floods in the Rio Verde basin and La Concepción dam, in the area of Marbella (South of Spain). In this integration, Abeinsa included two simulation models WiMMed, a physically-based distributed hydrological model (to be described in sect. 1.2.6), and Guadalfortran, a one-dimensional hydraulic code. Whose models are developed by the Fluvial Dynamic and hydrology group (Interuniversity Research Institute of Earth System in Andalusia) from the University of Córdoba and Granada (www.uco/dfh.es).

In SAID project, we now plan to show the applicability of approach followed with Hydroview and HIDAM for on-line management of real dams and river basins. The case study consists in installing and adapted version of Hydroview+WiMMEd and to 4 modules adapted from HIDAM in the dams of the demonstration area, Guadalhorce, and to perform an exhaustive validation with the final users. This installation will be also a major component of the integration approach developed in SAID project. We plan to show the innovations summarized in the following table.

INNO & DEMO in flood management Contribution beyond the state of the art
Rain flow prediction
  • Use the same method to calculate inflow histograms to dams.
  • Integration of real-time radar information and hydrologic model to calculate the inflows in key point of the river basin.
Flood maps prediction
  • Integration hydrodynamic models adapted to the river basin + GIS presentation.
Dam modelling
  • Use of formal  languages to model both discrete and continuous behauviour of the dam elements.
  • Support for semiautomatic modelling by operators, with patterns and metamodels.
  • Real-time modelling for unexpected situation (like out service spillways).
Definition of optimization objectives
  • Graphical definition of complex multi-criteria objectives, like a complete outflow and reservoir level curve.
Optimization of operations on dams
  • Extract algorithms to provide solutions or the evidence that no solution is possible for the given objective.(model checking technology).
Elaboration of exploitations plans
  • Generation of new operation rules to extend the dam operation plan using the tools for trail the operators with historic data.

For more information, you can check SAID Factsheet (DSS for flood management)