利用GM(1,1)代谢模型模拟喀斯特水文过程

Yajie Wang, Y. Hao, Xuemeng Wang
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引用次数: 1

摘要

本文采用GM(1,1)代谢模型对娘子关泉的泉水流量进行了数值模拟。我们通过误差分析对模型进行了识别,发现具有7维和8维数据序列的GM(1,1)代谢模型可以反映泉水流量的未来变化。结果表明,采用7维数据序列的模型预测的泉水流量要大于采用8维数据序列的模型。该型号提供了一系列的弹簧放电。娘子关泉的流量应该是在下降的。2008 ~ 2012年,娘子关泉流量上限有可能从6.91 m3/s下降到6.73 m3/s。因此,在同一时期内,下限可能从6.83立方米/秒下降到6.57立方米/秒。娘子关泉流量的持续衰减强调了岩溶地下水开采和经济活动对地下水循环的干扰已超过自然补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of karst hydrological processes using GM(1,1) metabolic model
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 m3/s during 2008 to 2012. Accordingly the lower limit was likely to decrease from 6.83 to 6.57 m3/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.
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