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International Conference on Environment and Industrial Innovation（ICEII 2011）

作者： Seyed Farnood Vahdat Amirpouya Sarraf Amir Shamsnia Naeem shahidi Student in Water Resources Engineering Water Engineering Department Science and Research Branch Islamic Azad University Faculty Staff of Agriculture Islamic Azad University Roudehen Branch Roudehen-Iran Faculty Staff of Agriculture Islamic Azad University Shiraz Branch Shiraz-Iran MSc graduated Collegian in Water Resources Engineering member of young research club Islamic Azad University Shiraz branch Shiraz-Iran.

The optimal exploitation of water from a dam reservoir requires a comprehensive knowledge of future availability of water resources. In this case the amount of water that will be available in the future is important. Also, we need to examine the flows at the dam from a short-term perspective. This is necessary to avoid overflowing and to minimize damage. In order to facilitate forecasting of the water resources, many different techniques have been developed through the years. In this paper, using yearly data （since 1988-2007） obtained from Hydrometric station at Dez （upstream of Dez Dam）, the Auto Regressive Integrated Moving average （ARIMA） model, for prediction of monthly mean inflow to Dez Dam reservoir was accomplished. On the basic of comparison the results of the model with measured data, the performance of ARIMA（1,1,0）（1,0,0）12 model is acceptable.

关键词： ARIMA reservoir time series model inflow prediction Dez Dam.

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DarcyTools:A Computer Code for Hydrogeological Analysis of Nuclear Waste Repositories in Fractured Rock

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Journal of Applied Mathematics and Physics 2014年第6期2卷 365-383页

作者： Urban Svensson Michel Ferry Computer-aided Fluid Engineering AB Frankes vag 3371 65 LyckebySweden MFRDC 6 rue de la Perche44700 OrvaultFrance

A computer code for simulation of groundwater flow and transport is described. Both porous and fractured media are handled by the code. The main intended application is the analysis of a deep repository for nuclear waste and for this reason flow and transport in a sparsely fractured rock is in focus. The mathematical and numerical models are described in some detail. In short, one may say that the code is based on the traditional conservation and state laws, but also embodies a number of submodels (subgrid processes, permafrost, etc). An unstructured Cartesian grid and a finite volume approach are the key elements in the discretization of the basic equations. A multigrid solver is part of the code as well as a parallelization option based on the SPMD (Single-Program Multiple-Data) method. The main application areas are summarized and an application to a deep repository is discussed in some more detail.

关键词： Fractured Rock inflow prediction Deep Repository

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