Reply to comment by J.‐P. Renaud et al. on “An assessment of the tracer‐based approach to quantifying groundwater contributions to streamflow”
Notice bibliographique
Résumé
[1] We welcome the comments of Renaud et al. [2007] on our recent paper [Jones et al., 2006]. This dialog provides us the opportunity to clarify some of the points we made regarding this important topic. [5] Regarding our division of the pre-event waters for the Borden rainfall-runoff experiment into separate unsaturated and saturated components, we would point out that one of our ancillary goals was is to determine the source zones of all of the waters contributing to streamflow generation and that this simply entailed adding an additional unsaturated zone tracer in the model that is used to tag the movement of the vadose zone water that existed prior to the rainfall event. As was shown in Figure 8 of Jones et al. [2006], the pre-event water initially residing below the water table (i.e., the saturated zone) did not significantly contribute to the streamflow produced after the onset of the rainfall event, at least on the basis of the hydraulic gradients that developed. Note that dispersive/diffusive processes were included in the simulation results provided in Figure 8 and that the concentration gradients in the saturated zone below the channel are clearly nonnegligible. The primary source of the hydraulically driven pre-event contribution to streamflow came from the unsaturated zone because of the capillary fringe effect, although this quantity was also small compared to the “lumped” pre-event estimate obtained from the direct application of (1a) and (1b) by Jones et al. [2006]. We do concede that these findings were not emphasized in the paper. [6] Renaud et al. [2007] also bring up a point concerning the use oxygen isotopes. When isotopically tagged water molecules diffuse (and mechanically disperse) from the subsurface to the surface, this does indeed represent the movement of these molecules; however, this does not necessarily represent the bulk movement of water as described by Darcy's law, and we again point out that the motion of the tagged water molecules comprise both advective (i.e., hydraulically driven) and dispersive/diffusive components. This latter quantity will impact the values of the Q terms inferred from lumped mass balance equations such as (1a) and (1b). That is, a large portion of the water appearing in the stream may appear to be “old” water, but not all of this pre-event water was hydraulically driven into the stream as many hydrologists and hydrogeologists commonly assume. [7] Finally, we concur with Renaud et al. [2007] that tracer-based research has significantly contributed to the advancement of hydrological sciences and will continue to do so in the future. It needs to be strongly emphasized here that we are not questioning the veracity of tracer data itself. Instead, we simply questioned the manner in which the data are commonly interpreted. We remain convinced that the use of lumped mass balance equations such (1a) and (1b) need to be adapted to account for (or at least approximate) dispersive/diffusive processes if they are to produce a direct estimate of the hydraulically driven pre-event contribution, and thus resolve the old water paradox. This is a topic of future work.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,050 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,004 |
| Communication savante | 0,004 | 0,007 |
| Science ouverte | 0,005 | 0,003 |
| Intégrité de la recherche | 0,038 | 0,056 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».