Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge

Tecklenburg, Christina; Blume, Theresa

doi:https://doi.org/10.5194/hess-21-5043-2017

Articles | Volume 21, issue 10

https://doi.org/10.5194/hess-21-5043-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-5043-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 10

Research article

|

06 Oct 2017

Research article |

| 06 Oct 2017

Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge

Christina Tecklenburg and Theresa Blume

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Final revised paper (published on 06 Oct 2017)
Preprint (discussion started on 13 Dec 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Very nice case study', Anonymous Referee #1, 22 Jan 2017
- AC1: 'Response to comments by reviewer#1', Christina Tecklenburg, 20 Mar 2017
RC2: 'a nice dataset', Anonymous Referee #2, 21 Feb 2017
- AC2: 'Response to comments by reviewer #2', Christina Tecklenburg, 20 Mar 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by Editor and Referees) (23 Mar 2017) by Thom Bogaard

AR by Christina Tecklenburg on behalf of the Authors (02 Jun 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (06 Jun 2017) by Thom Bogaard

RR by Anonymous Referee #1 (03 Jul 2017)

RR by Kelsey Jencso (10 Jul 2017)

Suggestions for revision or reasons for rejection

I commend the authors on a very detailed analysis of local and non-local groundwater discharge in a lacustrine setting. For my review I paid particular attention to the author’s responses and edits to the initial set of reviews. Overall, I believe the manuscript is novel based upon the methods applied and the amount of data that was collected. I do believe the authors provide a context that is important for future research and applications that seek to understand the influence of local topography versus groundwater recharge controlled systems. They also provide evidence for the role of sediment permeability and its ability to mediate topographic drivers. The authors have revised the manuscript substantially in terms of structure and the story line. While the manuscript does not provide major new insights, it provides a great analysis and data set that tests/confirms what others have shown – I believe this is important and a solid iteration for hydrologic sciences.
I have two specific comments:
1. The study has too many general/vague research questions. I’d suggest being more specific to help the reader. For example
a. combine question 1 and 2 to “How does LGD vary in space and time?”
b. combine question 2 and 3 to “What are the relative roles of regional groundwater discharge, local topography and sediment permeability for spatial patterns of LGD?
c. Delete “Can we predict LGD patterns”
2. The introduction section 1.2 is dense and a lot of this could be saved for the methods section. I’d suggest condensing this and focusing on the major point that is highlighted starting on line 18. Previous studies have focused either on large or small scale LGD patterns. You use multiple techniques and lines of inference to evaluate both local and non local controls on LGD. This is the new contribution.

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ED: Publish subject to minor revisions (further review by Editor) (20 Jul 2017) by Thom Bogaard

AR by Christina Tecklenburg on behalf of the Authors (28 Jul 2017) Author's response Manuscript

ED: Publish as is (31 Jul 2017) by Thom Bogaard

Short summary

We characterized groundwater–lake exchange patterns and identified their controls based on extensive field measurements. Our measurement design bridges the gap between the detailed local characterisation and low resolution regional investigations. Results indicated strong spatial variability in groundwater inflow rates: large scale inflow patterns correlated with topography and the groundwater flow field and small scale patterns correlated with grainsize distributions of the lake sediment.