Why you should try RS MINERVE !

Have you ever used RS MINERVE ? Not yet ? Do you know its advantages compared to other similar programs? Some reasons why RS MINERVE could be really interesting for you are given hereafter :

  • The hydrological-hydraulic model can be built with different hierarchical levels (called sub-models) which easily allow the organization of your model per region. A must for large models!
  • The different hydrological models (SOCONT, HBV, SAC-SMA, etc) can be easily converted from one to another in order to test which model provides the best performance.
  • The RS GIS tool allows the connection between the hydrological model and the shapefiles. The simulation and visualization of the results can then be directly realized from the RS GIS.
  • The user-friendly interface has been built for an easy understanding of the program and you can rapidly execute you first hydrological simulation.
  • The calibration module performs perfectly optimization of the hydrological parameters. Different algorithms can be tested and the objective function can be  modified to adapt it to the user’s interest.
  • You do not need to create meteorological series for each element of your model, but only a database with your observed meteorological data. Then,  each element will automatically build its meteorological series based on the database.

Soon joining the RS MINERVE community ?

 

Model simulation and visualization from RS GIS

Did you know that you can simulate directly from RS GIS in RS MINERVE?  Did you know that you can even view results also from RS GIS?

Once a simulation is achieved, RS GIS allows the visualization of series (hydrographs, reservoir levels,…) directly from the shapefiles when they are linked to the hydrological model.

You can click on basins, rivers or junctions from different shapefiles to visualize every result produced by RS MINERVE.

In addition, you can also visualize 2D results for a selected date to spatially represent the model’s results such as snow cover or soil saturation. Visualizing model properties, initial conditions and variables could not be easier !

Don’t hesitate to test new functionalities which become a key to represent results in a simple and a performant way in order to understand model outcomes.

 

Specific developments in RS MINERVE 2.0

Would you like to have specific developments done in RS MINERVE that could be helpful in your work ? Did you find a bug? Do you think RS MINERVE can be improved with new tools to be more useful to engineers and researchers?

Hydro10 takes into account your remarks and suggestions and evaluates their feasibility. If the development is justified and possible, Hydro10 will try to have it implemented !

If you have innovative ideas or propositions for improvements, please don’t hesitate to contact us for an assessment of your request (Contact Hydro10).

Members of Hydro10 have priority in new developments and can get personal meetings to discuss their proposals or needs.

 

Courses about ‘Hydrological and hydraulic modelling with RS MINERVE’ in Lima (Peru) – April 2015

Two courses (beginner and advanced) about ‘Hydrological and hydraulic modelling with RS MINERVE’ have been held on April 13th to 15th and on April 16th and 17th 2015 in the Headquarters of the National Service of Meteorology and Hydrology of Peru (SENAMHI), in Lima, Peru.

In the first course, for beginners, theoretical and practical parts have been combined to provide the required knowledge to model hydrological basins with the help of RS MINERVE. 35 participants from different Peruvian organizations and consulting enterprises have taken part with a great interest and success.

In the second course, for advanced users which already followed the course for beginners in 2014 or 2015, the details of the RS GIS and the RS Expert modules where revealed. Then, a practical exercise allowed the participants to become experts in hydrological and hydraulic modelling with RS MINERVE. About 25 participants took part in this course, with a big success that predicts another time two courses for 2016.

The courses, taught by J. García Hernández and J. Fluixá Sanmartín, from the Centre de recherche sur l’environnement alpin (CREALP-Switzerland) and by J. Paredes Arquiola, from Technical University of Valence (UPV-Spain), was organized in collaboration with the SENAMHI, the CREALP, the University of Zurich, the Swiss Agency for Development and Cooperation (SDC), Meteodat, Care Perú, ProyectoGlaciares and the Ecole Polytechnique Fédédale de Lausanne (EPFL).

More information (in Spanish) on this webpage.

 

New algorithms for hydrological parameters optimization

In addition to the SCE-UA (Shuffled Complex Evolution – University of Arizona), used for the optimization of the hydrological parameters in RS MINERVE, two new algorithms have been implemented: the “Uniform Adaptive Monte Carlo” and the “Coupled Latin Hypercube and Rosenbrock”

The Uniform Adaptive Monte Carlo (UAMC) algorithm is based on the Monte Carlo experiments that rely on repeated random sampling but has been modified in order to iteratively adjust the solution space.
The algorithm randomly launches a collection of simulations (block) and finds the better results in the solution space. Afterwards, the solution space is adjusted and a new group of simulations starts. The process is repeated until the optimization converges to the best set of parameters.

The Coupled Latin Hypercube and the Rosenbrock algorithm, generates a powerful tool for optimization of complex problems. This combined algorithm can discretize a wide domain and then narrow your search to smaller sectors. Scanning of the space of possible solutions is performed by the Latin Hypercube. This algorithm allows pseudo-statistical sampling conditioned by the previous calculated solutions. The Latin hypercube is an evolution of the Monte Carlo method, with more homogeneous samples achieved with fewer samples. An important advantage of this method is that the dimension of the problem is defined by the division of the latin hypercube and not by the number of parameters.
The best results from samples become the starting points required for Rosenbrock algorithm. The advantage of this subroutine calculation lies in the speed to obtain near optimal values. This algorithm is based on a gradient search, adjusting axis changes based on the direction of maximum enhancement, thus reducing the number of evaluations of the objective function.

More details in the technical manual.

 

Course ‘Hydrological and hydraulic modelling with RS MINERVE’ in EPFL (Lausanne, Switzerland) – January 2015

Another session of the course ‘Hydrological and hydraulic modelling with RS MINERVE’ was held on January 28th and 29th 2015 at EPFL in Lausanne, Switzerland. The course was oriented to  end users, including engineering offices, administrations and researchers. The training was attended by 24 participants.

As for previous courses, theoretical presentations and application exercises provided the knowledge required to model hydrological basins with the help of RS MINERVE. External speakers have presented examples of hydrological applications in real projects.

In addition to the 2 days training, participants had the option to achieve at home a personal application project , proposed by the training team. Support was provided to help the participants in their work. The submitted reports were of high quality and participants showed to have well understood the functioning of RS MINERVE.

The course, taught by Javier García Hernández, Alain Foehn, Samuel Alesina and Javier Fluixá Sanmartín, from the Centre de recherche sur l’environnement alpin (CREALP) and some members of the Steering committee of Hydro10, was organized by the CREALP in collaboration with the Laboratory of Hydraulic Constructions from EPFL,  the Technical University of Valencia (Spain) and the Hydro10 Association.

 

Course ‘Hydrological and hydraulic modelling with RS MINERVE’ in Sion (Switzerland) – November 2014

The third installment of the course ‘Hydrological and hydraulic modelling with RS MINERVE’ in 2014, after those of Lima (Peru) and Parana (Argentina), was held on November 19th and 20th in the “Casernes” of Sion, Switzerland. Following a now proven pattern, theoretical and practical sessions were combined to provide the knowledge required to model hydrological basins with the help of RS MINERVE. As a direct example of application, the MINERVE operational system for flood forecasting and management in the Upper Rhone River basin was also presented. 15 participants, mainly civil servants associated with the Canton of Valais, took part with great interest and success. .

The course, taught by Javier García Hernández, Alain Foehn, Samuel Alesina and Javier Fluixá Sanmartín, from the Centre de recherche sur l’environnement alpin (CREALP) and some members of the Steering committee of Hydro10, was organized by the CREALP in collaboration with the Ecole Polytechnique Fédérale de Lausanne (EPFL), the Technical University of Valencia (Spain) and the Hydro10 Association.

Vectorial icons for hydrological-hydraulic objects

Hydro10 collaborates in the development of RS MINERVE and has created a new graphic line with vectorial images for all available objects  in RS MINERVE.

The attractiveness of a software comes not only from a robust mathematical basis but also from an enjoyable interface. The new icons will improve the quality of the user-friendly graphical interface and the details when zooming. This new development reinforces the look of the software and enhances the significant work achieved about new modules  in recent months.

 

Stochastic simulation module

Hydro10 collaborates in the development of RS MINERVE to make the software accessible to a larger number of users. In this context, Hydro10 has developed a new module, called “Stochastic simulation”. This new module is capable of generating a set of simulations based on different parameters or initial conditions with values located in a random interval defined by the user.

This module provides, for each element of the model, simulated hydrographs, corresponding statistics (mean, median, quartiles, minimum and maximum values), and related set of parameters for each simulation.

The new version of RS MINERVE, v1.2.1, already includes this new module that you can test from now.

 

Potential Evapotranspiration calculation

RS MINERVE currently offers the possibility to calculate the Potential Evapotranspiration (ETP) values from different methods when no ETP data is available.

The 4 implemented ETP methods are :

  • Turc: calculation of ETP depending on the global radiation Rg (based only on latitude and longitude) and temperature
  • McGuinness: method depending on Rg (based only on latitude and longitude) and temperature
  • Oudin: a french method depending on the extra-terrestrial radiation Re (based only on latitude) and T
  • A uniform ETP

The value of global radiation Rg is a monthly averaged value which depends on the latitude and longitude of the hydrological model.   These Rg data were obtained from the Surface meteorological and Solar Energy (SSE) web portal, sponsored by the NASA’s Applied Science Program (http://eosweb.larc.nasa.gov/sse).

Rg data takes into account 22 year monthly average (July 1983 – June 2005). The latitude and the longitude values indicate the lower left corner of a 1×1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the latitude/longitude value. These data are regional averages, not point data.

The value of extra-terrestrial radiation Re is directly computed based on the latitude of the hydrological model and parameters such as sun-earth distance and solar declination.

For more information, please refer to the RS MINERVE Technical Manual.

 

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