Reference:Reference-017232: Difference between revisions

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|Firstname=Chen, Haorui; Wang, Shaoli; Gao, Zhanyi; Hu, Yaqiong;
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|Title=Artificial neural network approach for quantifying climate change and human activities impacts on shallow groundwater level: A case study of Wuqiao in North China Plain
|Year=2010-06
|Journal=
|Booktitle=
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|Pages=1–6
|URL=https://ieeexplore.ieee.org/document/5567678/
|DOI=10.1109/GEOINFORMATICS.2010.5567678
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Revision as of 07:27, 20 February 2022



Author(s) Chen, Haorui; Wang, Shaoli; Gao, Zhanyi; Hu, Yaqiong;
BibType conferencePaper
Title Artificial neural network approach for quantifying climate change and human activities impacts on shallow groundwater level: A case study of Wuqiao in North China Plain
Editors
Year 2010-06
Journal
Booktitle
Volume
Pages 1–6
URL https://ieeexplore.ieee.org/document/5567678/
DOI 10.1109/GEOINFORMATICS.2010.5567678
ISBN
Note Auto downloaded ref at: 2022-02-19


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID ddcf66e1efa5ba1f8fddd5516a53767450298678
Nr of citations 6
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: MODFLOW