基于深度卷积神经网络的浅层地下水污染预测模型

IF 0.5 Q4 ENGINEERING, ENVIRONMENTAL International Journal of Environmental Technology and Management Pub Date : 2021-07-23 DOI:10.1504/ijetm.2021.116828
Zhongfeng Jiang, Gao Hongbin, Li Wu, Yanan Li, Bifeng Cui
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引用次数: 1

摘要

为了解决浅层地下水污染在预测过程中受水质影响,导致浅层地下水预测指标和水质指标偏低的问题。。。
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A prediction model of shallow groundwater pollution based on deep convolution neural network
In order to solve the problems that the shallow groundwater pollution is affected by water quality in the prediction process, resulting in the low prediction index and water quality index of shallo...
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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
66
期刊介绍: IJETM is a refereed and authoritative source of information in the field of environmental technology and management. Together with its sister publications IJEP and IJGEnvI, it provides a comprehensive coverage of environmental issues. It deals with the shorter-term, covering both engineering/technical and management solutions.
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