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Information entropy evolution of groundwater flow system affected by human activity

机译:人类活动对地下水流系统信息熵的演化

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Groundwater flow system has characteristics of dissipative structure, and the groundwater flow system evolution could be described with the groundwater flow system information entropy variation. The groundwater flow system information entropies of Shijiazhuang City between 1960 and 2005 have been calculated using the field entropy methodology, and the results show that, the entropies of groundwater flow system have a decreasing trend through the research period, and four stages can be divided based on the groundwater flow system entropy variation as following: entropy steady period (1960–1965), entropy decreasing period (1965–1980), entropy increasing period (1980–1995) and secondary entropy decreasing period (1995–2005); understanding the major and significant driving forces to change patterns of groundwater levels is essential to groundwater management new method of grey correlation analysis have been presented, and the results show that, the grey correlation grade between groundwater flow system information entropies and precipitation series is γ01 = 0.749, the grey correlation grade between groundwater flow system information entropies and groundwater extraction series is γ02 = 0.814, as the groundwater extraction is the main driving force of groundwater flow system entropies variation.
机译:地下水流系统具有耗散结构的特点,可用地下水流系统信息熵的变化来描述地下水流系统的演化。利用场熵方法计算了1960年至2005年石家庄市地下水流系统信息熵,结果表明,在研究期间,地下水流系统的熵值呈下降趋势,可分为四个阶段。地下水流量系统的熵变如下:熵稳定期(1960-1965),熵下降期(1965-1980),熵增长期(1980-1995)和二次熵下降期(1995-2005);了解地下水位变化模式的主要和重要驱动力对于地下水管理至关重要,提出了一种新的灰色关联分析方法,结果表明,地下水流系统信息熵与降水量序列之间的灰色关联度为γ01= 0.749,地下水流系统信息熵与地下水提取序列之间的灰色关联度为γ02= 0.814,因为地下水提取是地下水流系统熵变化的主要驱动力。

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