Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks
The knowledge of structural controls of river networks (RNs) on transport dynamics is important for modeling and predicting environmental fluxes. To investigate impacts of RN’s topology on transport processes, we introduce a systematic framework based on the concept of dynamic clusters, where the co...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1259 |
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| _version_ | 1857415062301442048 |
|---|---|
| author | Tejedor, Alejandro |
| author2 | Roy, Juthika Singh, Arvind |
| author2_role | author author |
| author_facet | Tejedor, Alejandro Roy, Juthika Singh, Arvind |
| author_role | author |
| dc.creator.none.fl_str_mv | Tejedor, Alejandro Roy, Juthika Singh, Arvind |
| dc.date.none.fl_str_mv | 2022-03-22T05:17:56Z 2022-03-22T05:17:56Z 2022 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.1029/2021GL096957 https://depot.sorbonne.ae/handle/20.500.12458/1259 10.1029/2021GL096957 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Geophysical Research Letters 0094-8276 |
| dc.subject.none.fl_str_mv | Topology River network Side-branching Dynamic clusters Flux transport |
| dc.title.none.fl_str_mv | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | The knowledge of structural controls of river networks (RNs) on transport dynamics is important for modeling and predicting environmental fluxes. To investigate impacts of RN’s topology on transport processes, we introduce a systematic framework based on the concept of dynamic clusters, where the connectivity of subcatchments is assessed according to two complementary criteria: minimum- and maximum-flow connectivity. Our analysis from simple synthetic RNs and several natural river basins across the United States reveals the key topological features underlying the efficiency of flux transport and aggregation. Namely, the timing of basin-scale connectivity at low-flow conditions is controlled by the abundance of topologically asymmetric junctions (side-branching), which at the same time, result in a slow-down of the flux convergence at the outlet (maximum-flow). Our results, when compared with observed topological trends in RNs as a function of climate, indicate that humid basins exhibit topologies which are “naturally engineered” to slow-down fluxes. |
| id | sorbonner_32f28605c0f26080b71e28d491c6aaae |
| identifier_str_mv | 10.1029/2021GL096957 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1259 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River NetworksTejedor, AlejandroRoy, JuthikaSingh, ArvindTopologyRiver networkSide-branchingDynamic clustersFlux transportThe knowledge of structural controls of river networks (RNs) on transport dynamics is important for modeling and predicting environmental fluxes. To investigate impacts of RN’s topology on transport processes, we introduce a systematic framework based on the concept of dynamic clusters, where the connectivity of subcatchments is assessed according to two complementary criteria: minimum- and maximum-flow connectivity. Our analysis from simple synthetic RNs and several natural river basins across the United States reveals the key topological features underlying the efficiency of flux transport and aggregation. Namely, the timing of basin-scale connectivity at low-flow conditions is controlled by the abundance of topologically asymmetric junctions (side-branching), which at the same time, result in a slow-down of the flux convergence at the outlet (maximum-flow). Our results, when compared with observed topological trends in RNs as a function of climate, indicate that humid basins exhibit topologies which are “naturally engineered” to slow-down fluxes.2022-03-22T05:17:56Z2022-03-22T05:17:56Z2022Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf10.1029/2021GL096957https://depot.sorbonne.ae/handle/20.500.12458/125910.1029/2021GL096957enGeophysical Research Letters0094-8276oai:depot.sorbonne.ae:20.500.12458/12592023-12-19T10:46:28Z |
| spellingShingle | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks Tejedor, Alejandro Topology River network Side-branching Dynamic clusters Flux transport |
| title | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks |
| title_full | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks |
| title_fullStr | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks |
| title_full_unstemmed | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks |
| title_short | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks |
| title_sort | Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks |
| topic | Topology River network Side-branching Dynamic clusters Flux transport |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1259 |