Grid-enabled Monte Carlo analysis of the impacts of uncertain discharge rates on seawater intrusion in the Korba aquifer (Tunisia)

Kerrou, Jaouher; Renard, Philippe; Lecca, Giuditta; Tarhouni, Jamila

doi:10.1080/02626667.2010.519706

Cited by 18 publications

(9 citation statements)

References 21 publications

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“…For example, groups from the University of Arizona; Oregon State University; University of Québec; University of Illinois at Urbana-Champaign; University of California, used to compute probabilistic maps of seawater intrusion in Tunisia's Korba aquifer (Figure 1d) by using a Monte Carlo method. The simulations include flow and density-dependent transport processes in a 3-D heterogeneous coastal aquifer [Kerrou et al, 2007]. In this example, grid computing maintains two key advantages over classical distributed computing.…”

Section: Experimental Designmentioning

confidence: 99%

Grid Computing for Earth Science

et al. 2009

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The fundamental challenges facing humankind at the beginning of the 21st century require an effective response to the massive changes that are putting increasing pressure on the environment and society. The worldwide Earth science community, with its mosaic of disciplines and players (academia, industry, national surveys, international organizations, and so forth), provides a scientific basis for addressing issues such as the development of new energy resources; a secure water supply; safe storage of nuclear waste; the analysis, modeling, and mitigation of climate changes; and the assessment of natural and industrial risks. In addition, the Earth science community provides short‐ and medium‐term prediction of weather and natural hazards in real time, and model simulations of a host of phenomena relating to the Earth and its space environment. These capabilities require that the Earth science community utilize, both in real and remote time, massive amounts of data, which are usually distributed among many different organizations and data centers.

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Section: Experimental Designmentioning

confidence: 99%

Grid Computing for Earth Science

et al. 2009

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“…The uncertainty assessment, performed by means of Monte Carlo analysis on the scenario outputs, considers as potential uncertainty sources either hydraulic parameters (Lecca and Cau, 2009) or model stresses (e.g. pumping rates, Kerrou et al, 2010). Running such complex and regional seawater intrusion models on a single PC for a sufficient number of stochastic realizations is often just not feasible.…”

Section: Computational Services For Optimal Decision Making In Groundmentioning

confidence: 99%

“…This is an issue because also these countries frequently face the problem of seawater intrusion with the most dramatic consequences for their economy. Therefore, a Grid computing infrastructure could be used to run complex and large simulations remotely, and possibly directly from the countries where the problems occur (Kerrou et al, 2010).…”

Section: Computational Services For Optimal Decision Making In Groundmentioning

confidence: 99%

Grid computing technology for hydrological applications

Lecca

Petitdidier

Hluchý

et al. 2011

Journal of Hydrology

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. Advances in e-Infrastructure promise to revolutionize sensing systems and the way in which data are collected and assimilated, and complex water systems are simulated and visualized. According to the EU Infrastructure 2010 work-programme, data and compute infrastructures and their underlying technologies, either oriented to tackle scientific challenges or complex problem solving in engineering, are expected to converge together into the so-called knowledge infrastructures, leading to a more effective research, education and innovation in the next decade and beyond. Grid technology is recognized as a fundamental component of e-Infrastructures. Nevertheless, this emerging paradigm highlights several topics, including data management, algorithm optimization, security, performance (speed, throughput, bandwidth, etc.), and scientific cooperation and collaboration issues that require further examination to fully exploit it and to better inform future research policies. The paper illustrates the results of six different surface and subsurface hydrology applications that have been deployed on the Grid. All the applications aim to answer to strong requirements from the Civil Society at large, relatively to natural and anthropogenic risks. Grid technology has been successfully tested to improve flood prediction, groundwater resources management and Black Sea hydrological survey, by providing large computing resources. It is also shown that Grid technology facilitates e-cooperation among partners by means of services for authentication and authorization, seamless access to distributed data sources, data protection and access right, and standardization. Ó 2011 Elsevier B.V. All rights reserved.

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“…The application (Fig. 3, service Application Management) allows registered end-users to run on the infrastructure a set of demonstrative 3D seawater intrusion simulations for two coastal aquifer pilot sites: OristanoItaly (Lecca and Cau 2004) and Korba-Tunisia (Kerrou et al 2007). Case-study selection is performed choosing a site locator on the Google Map mash-up.…”

Section: Codesa-3d Simulatormentioning

confidence: 99%

AQUAGRID: an extensible platform for collaborative problem solving in groundwater protection

et al. 2009

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AQUAGRID is the subsurface hydrology computational service of the Sardinian GRIDA3 infrastructure, designed to deliver complex environmental applications via a user-friendly Web portal. The service aims to provide to water professionals integrated modeling tools to solve water resources management problems and aid decision making for contaminated soil and groundwater. In this paper, the AQUAGRID application concept and enabling technologies are illustrated. At the heart of the service are the computational models to simulate complex and large groundwater flow and contaminant transport problems and geochemical speciation. AQUAGRID is built on top of compute-Grid technologies by means of the EnginFrame Grid framework. Distributed data management is provided by the Storage Resource Broker data-Grid middleware. The resulting environment allows end-users to perform groundwater simulations and to visualize and interact with their results, using graphs, 3D images and annotated maps. The problem solving capability of the platform is demonstrated using the results of two case studies deployed.

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Grid-enabled Monte Carlo analysis of the impacts of uncertain discharge rates on seawater intrusion in the Korba aquifer (Tunisia)

Cited by 18 publications

References 21 publications

Grid Computing for Earth Science

Grid Computing for Earth Science

Grid computing technology for hydrological applications

AQUAGRID: an extensible platform for collaborative problem solving in groundwater protection

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