Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2615-2018
https://doi.org/10.5194/hess-22-2615-2018
Research article
 | 
03 May 2018
Research article |  | 03 May 2018

Drainage area characterization for evaluating green infrastructure using the Storm Water Management Model

Joong Gwang Lee, Christopher T. Nietch, and Srinivas Panguluri

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (10 Sep 2017) by Louise Slater
AR by Anna Wenzel on behalf of the Authors (16 Nov 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Nov 2017) by Louise Slater
RR by Anonymous Referee #3 (22 Dec 2017)
ED: Publish subject to minor revisions (review by editor) (06 Feb 2018) by Louise Slater
AR by Anna Mirena Feist-Polner on behalf of the Authors (26 Mar 2018)  Author's response
ED: Publish subject to technical corrections (29 Mar 2018) by Louise Slater
ED: Publish as is (03 Apr 2018) by Louise Slater
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Short summary
This paper demonstrates an approach to spatial discretization for analyzing green infrastructure (GI) using SWMM. Besides DCIA, pervious buffers should be identified for GI modeling. Runoff contributions from different spatial components and flow pathways would impact GI performance. The presented approach can reduce the number of calibration parameters and apply scale–independently to a watershed scale. Hydrograph separation can add insights for developing GI scenarios.