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By combining Elman neural network with wavelet analysis, this paper establishes Elman-wavelet network model. The paper also presents the training process of Elman-wavelet network model, and applies the model to groundwater-level prediction of Naolihe basin. Numerical results derived demonstrate the model has high prediction accuracy, fast convergence and good prediction results.
In water resources evaluation, the groundwater quality evaluation is an important matter, which could provide scientific references to protection and water resources recover and water resources management. So groundwater quality evaluation can also give guidance to sustainable groundwater utilization and to build a water-saving society. Back Propagation Artificial Neural Net based on Real coded Accelerating...
The research of groundwater vulnerability is the basic work to protect the groundwater. For sustainable utilizing groundwater resource, evaluating groundwater vulnerability is necessary .Useful reference to protecting, exploiting and utilizing groundwater resource are provided rationally. Three methods are applied to evaluating the groundwater vulnerability in Sanjiang Plain. They are the entropy...
This paper establishes evaluation model of carrying capacity of regional groundwater resources by method of matter-element analysis, and by this method, it carries on the comprehensive evaluation to carrying capacity of regional groundwater resources in Gannan. According to the evaluation result, carrying capacity of groundwater resources in Ganna test area belongs to the degree of I, which means...
To solve the descent of groundwater level in Sanjiang Plain, taking Hongxinglong branch of Heilongjiang Land Reclamation bureau as an example, the water resources carrying capacity of 12 farms in the area were evaluated by set pair analysis technology. The results indicated that the water resources carrying capacity of 291 and Jiangchuan farms were in grade III, Raohe farm between grade II and III,...
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