Reference:Reference-015077: Difference between revisions
From CSDMS
m Text replacement - "|MS_PublicationClusterID=3181376340" to "|MS_PublicationClusterID=3181376340 |Semantic_ID=daca76340758ef03af4b66a9a3e7138be833f4fb
" |
m Text replacement - " |Semantic_ID" to " |Semantic_ID" |
||
| Line 15: | Line 15: | ||
|FeatureRef=No | |FeatureRef=No | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=3181376340 |Semantic_ID=daca76340758ef03af4b66a9a3e7138be833f4fb | |MS_PublicationClusterID=3181376340 | ||
|Semantic_ID=daca76340758ef03af4b66a9a3e7138be833f4fb | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
Revision as of 20:36, 9 January 2022
| Author(s) | Xingpo, Liu; Muzi, Lu; Yaozhi, Chai; Jue, Tang; Jinyan, Gao; |
| BibType | journalArticle |
| Title | A comprehensive framework for HSPF hydrological parameter sensitivity, optimization and uncertainty evaluation based on SVM surrogate model- A case study in Qinglong River watershed, China |
| Editors | |
| Year | 2021-09 |
| Journal | Environmental Modelling & Software |
| Booktitle | |
| Volume | 143 |
| Pages | 105126 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S1364815221001699 |
| DOI | 10.1016/j.envsoft.2021.105126 |
| ISBN | |
| Note | Auto downloaded ref at: 2021-10-01
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 3181376340 |
| Semantic_ID | daca76340758ef03af4b66a9a3e7138be833f4fb |
| Nr of citations | 20 |
| 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: | HSPF |
