Reference:Reference-017454
From CSDMS
| 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
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| Feature reference | No |
| PublicationClusterID | 0 |
| 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: |
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| Model(s) discussed: | MODFLOW
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