地下水开采量调查investigation of groundwater withdrawals 地下水动态预测prediction of groundwater regime 地下水监测网groundwater monitoring network ..
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地下水位动态变化是一个复杂的水文过程，准确地预测地下水位变化情况在水资源开发利用中有着重要意义。
The change of groundwater level dynamics is a complicate hydrological process. It is important to predict exactly the change of groundwater level in exploiting water resources.
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.
据此，可进一步推广到岩溶地下水环境质量的动态管理及污染预测。
On these grounds, it could be spreaded further to dynamic management and pollution calculation of environment quality of karst groundwater.
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