MCphreec 2.0
Output characterisation | |
OUTPUT SENTENCE | McPhreeqc software provides a way to do Monte-Carlo simulations automatically, this is applied in geochemicall modelling |
OUTPUT TYPE | e-tool |
WATER TOPIC | Quality of natural systems |
MARKET NEED TAILORED | Quantifying the optimal and sustainable production of the water sources requires an effort in understanding the natural systems and determining their limitations. Groundwater modelling is a fundamental tool for system understanding and data informed decision-making. Surface and groundwater integrated modelling is a need for most water and environmental managers both in the public (water authorities) and industrial sector (water, mining and oil and gas companies). |
OUTPUT DESCRIPTION | Quantifying the optimal and sustainable production of the water sources requires an effort in understanding the natural systems and determining their limitations. Surface and groundwater integrated modelling is a need for most water and environmental managers both in the public (water authorities) and industrial sector (water, mining and oil and gas companies). Phreeqc is used for modelling many different types of natural geochemical processes. What they all have in common is that there is an uncertainty about the exact value of the parameters used. In the classical modelling method, the model is calibrated to find the “correct” values of these parameters. Another approach is to apply stochastic modelling using Monte-Carlo simulations. A probability distribution is chosen for each parameter. Then combinations of random values are generated according to these distributions. For each combination Phreeqc needs to be run. The results of all these runs is then combined to show the uncertainty for specific output variables, given the uncertainty of the input parameters MCPhreeqc The software provides a way to do Monte-Carlo simulations automatically. As input it uses a Phreeqc input file, a PDF for each of the uncertain parameters and the settings for the Monte Carlo simulation. It comes with a graphical user interface to enter the configuration of the simulations that need to be run. In addition it can automatically generate histograms and scatter plots from the results. Simulations can be run in parallel to benefit from all the processor cores in your machine |
STATE OF DEVELOPMENT | Ready to use |
INNOVATIVE ASPECTS AND ADVANTAGES | Phreeqc is a code used for modelling many different types of natural geochemical processes, such as groundwater pollution. What they all have in common is that there is an uncertainty about the exact value of the parameters used. In the classical modelling method, the model is calibrated to find the “correct” values of these parameters. Another approach is to apply stochastic modelling using Monte-Carlo simulations. A probability distribution is chosen for each parameter. Then combinations of random values are generated according to these distributions. For each combination Phreeqc needs to be run. The results of all these runs is then combined to show the uncertainty for specific output variables, given the uncertainty of the input parameters. - Performance of MonteCarlo simulations over different parameters of a Phreeqc problem Efficiency in time consuming (productivity) and computational costs |
INTELLECTUAL/INDUSTRIAL PROPERTY RIGHTS | You can redistribute MCPhreeqc and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either "version 2.1 of the License, or (at your option) any later version. For more information see: http://www.gnu.org/licenses/lgpl-2.1.html |
TRANSFERABILITY | High Transferability |
POTENTIAL USERS/CLIENTS | Other scientists, technical consultancies, river basin agencies, environmental national agencies. |
BUSINNESS CASE | Yes |
Estimation of risks | |
INNOVATIVE DISADVANTAGE |
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EVALUATION OF RISKS FOR OUTPUT USERS | Low risk on all issues, although expertise on modelling is needed. |
ECONOMICAL RISKS | Any risks, free tool. |
TECHNICAL RISKS | - Need of expertise on the above mentioned subjects - It is written in the programming language Python and is released under an open source license (LGPL). Technical risk is low at installation is free and can be done on as many computers as you like. Freely source code and it can be modified. |
MARKET RISKS | - Similar tools available |
SOCIAL RISKS | Any foreseen risk |
Steps ahead | |
NEXT STEPS TO ACHIEVE THE STATUS 'READY TO USE' | Further development of the users guide towards a more complete document Further improvement of the software interface, more users friendly. |
INVOLVEMENT OF THE OWNER FOR THE NEXT STEPS | Yes, which type: partnership, commercial agreement, |
TYPE OF PARTNER FOR THE NEXT DEVELOPMENTS | Specify the relevant, for example: research organisations, graphical designer |
TASKS TO BE PERFORMED | Development of user friendly interface and users’ guide. |
COLLABORATION DETAILS | Technical co-operation, commercial agreement, |
Estimation of ressources | |
RESOURCES FOR NEXT STEPS | 1 person month |
FORESEEN COSTS FOR NEXT STEPS | approx. 15.000€ |
Contact | |
TECHNICAL CONTACT | Luis Manuel de Vries |
COUNTRY | SPAIN |
WEBSITE | http://www.amphos21.com/vistas/descargas.php?down=MCPhreeqc |
WATER RTOM CONTACT | beatriz.medina@amphos21.com |
Background | |
PROJECT NAME | CRYSTALLINE ROCK RETENTION PROCESSES |
PROJECT ACRONYM | CROCK |
PROJECT DESCRIPTION | The EURATOM FP7 Collaborative Project “Crystalline Rock Retention Processes” (CP CROCK) is established with the overall objective to develop a methodology for decreasing the uncertainty in the long-term prediction of the radionuclide migration in the crystalline rock far-field. |
LEADER | Karlsruhe Institut für Technologie (KIT), GERMANY |
TEAMS INVOLVED | Amphos 21, CIEMAT, Helmholtz-Zentrum Dresden-Rossendorf, Chalmers University of Technology. Ústav jaderného výzkumu Řež a.s., Conterra AB, M. V. Lomonosov Moscow State University, Teknologian Tutkimuskeskus VTT, Kemakta Konsult AB |
COUNTRIES INVOLVED | CZECH REPUBLIC, FINLAND, , GERMANY, SPAIN, SWEDEN, RUSSIA |
PROJECT LOCATION | SPAIN |
FUNDING ORGANISATION | EURATOM |