Distributed Parallel Computing in Stochastic Modeling of Groundwater Systems

Stochastic modeling is a rapidly evolving, popular approach to the study of the uncertainty and heterogeneity of groundwater systems. However, the use of Monte Carlo‐type simulations to solve practical groundwater problems often encounters computational bottlenecks that hinder the acquisition of mea...

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Bibliographic Details
Published in:	Ground water Vol. 51; no. 2; pp. 293 - 297
Main Authors:	Dong, Yanhui, Li, Guomin, Xu, Haizhen
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01.03.2013 Ground Water Publishing Company
Subjects:	basins batch systems China Computation Computer Simulation Distributed processing Encounters Groundwater Heterogeneity hydrologic models Indonesia Java (programming language) Models, Theoretical Monte Carlo Method Monte Carlo simulation Parallel processing Stochastic models Stochastic Processes Stochasticity uncertainty Beijing China China China, People's Rep., Beijing Indonesia
ISSN:	0017-467X, 1745-6584, 1745-6584
Online Access:	Get full text
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