气体逸出可引起地下水流量、水位和温度的显著变化。
The gas spilling can make notable variation of the groundwater flow, water level and temperature.
根据其时间序列，建立线性神经网络模型，并将其用于地下水流量的动态预测。
Based on the time series, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
得到的结论是，地下水流量对区域构造应力活动及地震活动具有非常灵敏的反映能力。
We have obtained the following conclusions: the groundwater outflow has extremely sensitive reflection ability for tectonic stress and earthquake activities in a region.
根据降水量与地下水流量之间的相关关系，建立线性神经网络模型，并且将其用于地下水流量的动态预测。
According to the relationship between precipitation and discharge of groundwater, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
在不需要供冷的季节，热水机组循环地下水，不存在蒸发器的最小水流量的问题。
Does not need cooling at the season, hot water unit circle groundwater, there is no minimum evaporator water flow problem.
在不需要供冷的季节，热水机组循环地下水，不存在蒸发器的最小水流量的问题。
Does not need cooling at the season, hot water unit circle groundwater, there is no minimum evaporator water flow problem.
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