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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yajie Wang Yonghong Hao Xuemeng Wang |
| Copyright Year | 2009 |
| Description | Author affiliation: College of Computer and Information Engineering, Tianjin Normal University, Tianjin 300387, P.R. China (Yajie Wang) || Key Laboratory for Water Environment and Resources, Tianjin Normal University, 393 Binshuixidao Road, Xiqing District, Tianjin 300387, PR China (Yonghong Hao) || Institute of Agriculture Resources Survey of Shanxi Province, Taiyuan 030006, PR China (Xuemeng Wang) |
| Abstract | In this paper, the GM(1,1) metabolic model was applied to simulation of the spring discharge of Niangziguan Springs. We identified the models by error analysis and found that the GM(1,1) metabolic models with data sequence of seven and eight dimensions can reflect the future variation of the springs flow. The results showed that the predicted spring flow of the models with data sequence of seven dimensions were larger than those of eight dimensions. The models provided with a range of the spring discharge. The Niangziguan Spring flow was supposed to be declining. The upper limit of Niangziguan Springs flow was likely to decrease from 6.91 to 6.73 $m^{3}/s$ during 2008 to 2012. Accordingly the lower limit was likely to decrease from 6.83 to 6.57 $m^{3}/s$ during the same period of time. The continuous decaying of Niangziguan Springs flow stressed that karst groundwater exploitation and economic activities disturbed groundwater circulation that have exceeded natural supplement. |
| Starting Page | 588 |
| Ending Page | 593 |
| File Size | 763675 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424449149 |
| DOI | 10.1109/GSIS.2009.5408244 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Error analysis Geology Vegetation mapping Predictive models Economic forecasting Technology planning Springs Intelligent systems Environmental economics |
| Content Type | Text |
| Resource Type | Article |
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