Articles | Volume 26, issue 16
https://doi.org/10.5194/hess-26-4279-2022
https://doi.org/10.5194/hess-26-4279-2022
Research article
 | 
22 Aug 2022
Research article |  | 22 Aug 2022

An algorithm for deriving the topology of belowground urban stormwater networks

Taher Chegini and Hong-Yi Li

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-90', Anonymous Referee #1, 02 May 2022
    • AC1: 'Reply on RC1', Hongyi Li, 29 Jun 2022
  • RC2: 'Comment on egusphere-2022-90', Anonymous Referee #2, 05 May 2022
    • AC2: 'Reply on RC2', Hongyi Li, 29 Jun 2022
  • RC3: 'Comment on egusphere-2022-90', Anonymous Referee #3, 24 May 2022
    • AC3: 'Reply on RC3', Hongyi Li, 29 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (04 Jul 2022) by Fuqiang Tian
AR by Hongyi Li on behalf of the Authors (12 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Jul 2022) by Fuqiang Tian
RR by Anonymous Referee #3 (22 Jul 2022)
RR by Anonymous Referee #2 (03 Aug 2022)
ED: Publish subject to technical corrections (04 Aug 2022) by Fuqiang Tian
AR by Hongyi Li on behalf of the Authors (06 Aug 2022)  Manuscript 
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Short summary
Belowground urban stormwater networks (BUSNs) play a critical and irreplaceable role in preventing or mitigating urban floods. However, they are often not available for urban flood modeling at regional or larger scales. We develop a novel algorithm to estimate existing BUSNs using ubiquitously available aboveground data at large scales based on graph theory. The algorithm has been validated in different urban areas; thus, it is well transferable.