Conserving the Ogallala Aquifer in southwestern Kansas: from the wells to people, a holistic coupled natural&ndash;human model

Aistrup, Joseph A.; Bulatewicz, Tom; Kulcsar, Laszlo J.; Peterson, Jeffrey M.; Welch, Stephen M.; Steward, David R.

doi:https://doi.org/10.5194/hess-21-6167-2017

Articles | Volume 21, issue 12

https://doi.org/10.5194/hess-21-6167-2017

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

Special issue:

Assessing impacts and adaptation to global change in water...

https://doi.org/10.5194/hess-21-6167-2017

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

Articles | Volume 21, issue 12

Research article

|

07 Dec 2017

Research article |

| 07 Dec 2017

Conserving the Ogallala Aquifer in southwestern Kansas: from the wells to people, a holistic coupled natural–human model

Joseph A. Aistrup, Tom Bulatewicz, Laszlo J. Kulcsar, Jeffrey M. Peterson, Stephen M. Welch, and David R. Steward

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Final revised paper (published on 07 Dec 2017)
Preprint (discussion started on 29 May 2017)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Very interesting approach; manuscript needs some retooling', Erin Haacker, 20 Jul 2017
- AC1: 'Reply to E. Haacker', David R. Steward, 01 Sep 2017
RC1: 'Review', Anonymous Referee #1, 28 Jul 2017
- AC2: 'Anonymous Reviewer 1 response', David R. Steward, 01 Sep 2017
RC2: 'Referee Report', Anonymous Referee #2, 08 Aug 2017
- AC3: 'Anonymous Review 2 response', David R. Steward, 01 Sep 2017

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (13 Sep 2017) by David Pulido-Velazquez

AR by Svenja Lange on behalf of the Authors (26 Sep 2017) Author's response

ED: Publish as is (03 Oct 2017) by David Pulido-Velazquez

Short summary

A system-level theoretical approach is developed which utilizes OpenMI methods to study the collective impacts of groundwater depletion in one of the world's most important regions for agricultural production (the congressional district with the highest historical cash value in the USA). Water policy is analyzed to forecast groundwater depletion across changes in human activity and climate, and the economic and societal impacts are provided to inform public policy and management.