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Articles 31 - 37 of 37
Full-Text Articles in Physical Sciences and Mathematics
Decision-Making Frameworks For Using Sensor Data And Evolutionary Algorithms To Flush A Contaminated Water Distribution System, M. Ehsan Shafiee, Emily Zechman Berglund
Decision-Making Frameworks For Using Sensor Data And Evolutionary Algorithms To Flush A Contaminated Water Distribution System, M. Ehsan Shafiee, Emily Zechman Berglund
International Conference on Hydroinformatics
In the event that a contaminant enters a water distribution system, opening hydrants to flush contaminated water can protect consumers from becoming exposed. Strategies for operating hydrants can be developed to specify the selection of hydrants and the timing of operations to maximize the amount of contaminant that is removed from the system. As an event unfolds, however, sensor data may be the only information that is available to indicate the location and timing of the contaminant source, and ultimately, hydrant strategies must be selected in a highly uncertain environment. The decision-making framework for making real-time decisions to select hydrant …
Optimal Placement Of Metering Devices For Multiple Purposes, Ramon Perez, Gerard Sanz, Josep Cuguero, Miquel Angel Cuguero
Optimal Placement Of Metering Devices For Multiple Purposes, Ramon Perez, Gerard Sanz, Josep Cuguero, Miquel Angel Cuguero
International Conference on Hydroinformatics
Monitoring devices installed in a huge system like a water network imply a high cost. This cost includes installation and maintenance. Thus the placement of these devices must be optimal. The optimal sensor placement is an issue that comes up in many innovation projects in water networks. The use of models even if the final application does not use them may be crucial in such process. Nevertheless the optimality of the placement may depend highly on the final use of these sensors. In general a better placement may imply a more specific use of the information. This work studies the …
The Pronos Hydrological Forecast System: Assessment And Learned Lessons From The First Year Of Operation At The Betania Hydropower Reservoir, Efraín Domínguez, Hector Angarita, Zulma Méndez, Gustavo Angulo, Diego Motavita, Thomas Rosmann
The Pronos Hydrological Forecast System: Assessment And Learned Lessons From The First Year Of Operation At The Betania Hydropower Reservoir, Efraín Domínguez, Hector Angarita, Zulma Méndez, Gustavo Angulo, Diego Motavita, Thomas Rosmann
International Conference on Hydroinformatics
A feasible quantitative hydrological forecasting service is a combination of technological elements, qualified personnel and knowledge, working together to establish a stable operational cycle of forecasts emission, dissemination and assimilation. The process for establishing such system usually requires significant resources and time to reach an adequate development and integration in order to produce forecasts with acceptable levels of performance. Here we present an operational assessment and lessons from the implementation and first year of operation of the recently released Operational Forecast Service for the Betania’s Hydropower Reservoir – PRONOS, located at the Upper-Magdalena River Basin (Colombia). PRONOS was developed under …
Water Supply Operating Rules In Parallel Dams By Means Of Genetic Algorithms, Rosalva Mendoza-Ramírez, Maritza L. Arganis, Ramón Domínguez Mora, Gerardo Acuna
Water Supply Operating Rules In Parallel Dams By Means Of Genetic Algorithms, Rosalva Mendoza-Ramírez, Maritza L. Arganis, Ramón Domínguez Mora, Gerardo Acuna
International Conference on Hydroinformatics
Cutzamala system is the most important hydraulic work that the Mexico State had provided to Mexico’s center region; its objective is the water supply with at least 16 m3/s to the country’s capital, since 1974. The system consist of Tuxpan and El Bosque dams, both located in Michoacán State, and Ixtapan del Oro, Villa Victoria, Valle de Bravo, Chilesdo and Colorines dams located in Mexico State; each one belong to Cutzamala River Basin. At the Institute of Engineering of the National Autonomous University of Mexico studies have been done since the mid-90s of last century in order to obtain optimal …
Precipitation Sensor Network Optimal Design Using Time-Space Varying Correlation Structure, Juan Carlos Chacon-Hurtado, Leonardo Alfonso, Dimitri P. Solomatine
Precipitation Sensor Network Optimal Design Using Time-Space Varying Correlation Structure, Juan Carlos Chacon-Hurtado, Leonardo Alfonso, Dimitri P. Solomatine
International Conference on Hydroinformatics
Design of optimal precipitation sensor networks is a common topic in hydrological literature, however this is still an open problem due to lack of understanding of some spatially variable processes, and assumptions that often cannot be verified. Among these assumptions lies the homoscedasticity of precipitation fields, common in hydrological practice. To overcome this, it is proposed a local intensity-variant covariance structure, which in the broad extent, provides a fully updated correlation structure as long as new data are coming into the system. These considerations of intensity-variant correlation structure will be tested in the design of a precipitation sensor network for …
Committees Of Specialized Conceptual Hydrological Models: Comparative Study, Nagendra Kayastha, Dimitri P. Solomatine
Committees Of Specialized Conceptual Hydrological Models: Comparative Study, Nagendra Kayastha, Dimitri P. Solomatine
International Conference on Hydroinformatics
Committee modelling approach is skillful prediction in the domain of hydrological modelling that allows explicitly to derive predictive model outputs. In this approach, the different individual models are optimally combined. Generally if a single hydrological model or the model calibrated by the single aggregated objective function it is hard to capture all facets of a complex process and to present the best possible model outputs. This model could be either capable for high flows or for low flows or not for both cases hence more flexible modelling architectures are required. Here the possibilities is building several specialized models each of …
Hybrid Model Approach To Water Monitoring Network Design, Paulin Coulibaly, Jos Samuel
Hybrid Model Approach To Water Monitoring Network Design, Paulin Coulibaly, Jos Samuel
International Conference on Hydroinformatics
Hybrid modeling approach including regionalization method, entropy technique, and Bayesian multiobjective optimization algorithm is proposed for optimum water monitoring network design. For hydrometric network design, all the components of the hybrid model are used as follows. Robust regionalization method is used to generate streamflow at all possible locations of new stations, and dual entropy-multiobjective optimization methods are used to optimize the number and locations of the new stations. For precipitation (rainfall or snowfall) network design, only the dual entropy-multiobjective optimization modules are used to optimize the number and locations of new stations based on an initial grid points which can …