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231226s2022 xx |||||o 00| ||eng c |
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|a 10.1029/2022GL099500
|2 doi
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|a eng
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|a Durighetto, Nicola
|e verfasserin
|4 aut
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| 245 |
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|a On the Relation Between Active Network Length and Catchment Discharge
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Revised 05.09.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2022 The Authors.
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|a The ever-changing hydroclimatic conditions of the landscape induce ceaseless variations in the wet channel length (L) and the streamflow (Q) of a catchment. Here we use a perceptual model to analyze the links among (and the drivers of) four descriptors commonly used to characterize discharge and active length dynamics in streams, namely the L(Q) relationship and the cumulative distributions of local persistency, flowrate and active length. The model demonstrates that the shape of the L(Q) law is defined by the cumulative distribution of the specific subsurface discharge capacity along the network, a finding which provides a clue for the parametrization of L(Q) relations in dynamic streams. Furthermore, we show that L(Q) laws can be constructed combining the streamflow distribution with disjoint active length data. Our framework links previously unconnected formulations for characterizing stream network dynamics, and offers a novel perspective to describe the scaling between wet length and discharge in rivers
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|a Journal Article
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| 650 |
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|a drainage density
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| 650 |
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4 |
|a ires
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| 650 |
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4 |
|a length discharge relation
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| 650 |
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4 |
|a stream networks
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| 650 |
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4 |
|a temporary streams
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| 700 |
1 |
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|a Botter, Gianluca
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Geophysical research letters
|d 1984
|g 49(2022), 14 vom: 28. Juli, Seite e2022GL099500
|w (DE-627)NLM098182501
|x 0094-8276
|7 nnas
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| 773 |
1 |
8 |
|g volume:49
|g year:2022
|g number:14
|g day:28
|g month:07
|g pages:e2022GL099500
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| 856 |
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|u http://dx.doi.org/10.1029/2022GL099500
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