Reference:Reference-017454: Difference between revisions

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|BibType=journalArticle
|Title=Predicting land subsidence rate due to groundwater exploitation in the district 19 of Tehran using MODFLOW and InSAR
|Year=2018-02
|Journal=فصلنامه علمی-پژوهشی علوم زمین
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|Volume=27
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Revision as of 20:41, 20 February 2022



Author(s) Arjomandi, Mojtaba; Saremi, Ali; Sarraf, Amir Pouya; Sedghi, Hossien; Roustaei, Mahasa;
BibType journalArticle
Title Predicting land subsidence rate due to groundwater exploitation in the district 19 of Tehran using MODFLOW and InSAR
Editors
Year 2018-02
Journal فصلنامه علمی-پژوهشی علوم زمین
Booktitle
Volume 27
Pages
URL https://doi.org/10.22071/gsj.2018.58364
DOI 10.22071/gsj.2018.58364
ISBN
Note Auto downloaded ref at: 2022-02-19


 
Feature reference No
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MS_PublicationClusterID 0
Semantic_ID 369c0578cdf61789dceed9e6b39644207f3d35c8
Nr of citations 1
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