کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4577657 1630022 2011 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Grid computing technology for hydrological applications
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
Grid computing technology for hydrological applications
چکیده انگلیسی

SummaryAdvances 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.


► Grid computing improved flood prediction, groundwater resources management and Black Sea Catchment hydrological survey.
► Complex multi-physics multi-scale hydrological application are successfully tested.
► Uncertainty assessment for regional aquifers using Monte Carlo analysis has been conducted.
► Real-time capability can be provided under proper CPU reservation mechanisms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 403, Issues 1–2, 6 June 2011, Pages 186–199
نویسندگان
, , , , , , ,