Technical Papers
Jun 27, 2019

Hanging Gardens Algorithm to Generate Decentralized Layouts for the Optimization of Urban Drainage Systems

Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 9

Abstract

Traditional urban drainage systems rely heavily on centralized network-based infrastructures. Recently, the idea of centralized urban drainage networks has increasingly been questioned. The latest investigations suggest a transition from centralized to decentralized or hybrid schemes. Therefore, there is a need for tools and methodologies to evaluate and optimize drainage networks with arbitrary degrees of centralization (DC). For this purpose, this paper introduces an algorithm called the hanging gardens algorithm to generate all possible sewer layouts and to explore different degrees of decentralization. The proposed algorithm starts with generating a centralized layout and introducing a list of outlet candidates. Next, it adds arbitrary outlets from candidates to the generated layout and uses a graph theory–based approach to assign parts of the layout to different outlets. This procedure is iterated until all (combinations) outlet candidates have been included. To demonstrate the performance of the proposed algorithm in enumerating all different DC and generating realistic layouts, the algorithm is coupled with an optimization engine in order to optimize the stormwater collection network of a section of the city of Ahvaz, Iran. The number and location of outlets, the layout configuration of each part and the size of pipes are used as optimization variables to minimize costs subject to hydraulic and feasibility constraints. The proposed algorithm performs well in exploring different DC and finding near-optimum solutions.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request.

Acknowledgments

This study was supported by BMBF-DAAD Sustainable Water Management: Study Scholarships and Research Grants 2015 (57156376).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 145Issue 9September 2019

History

Received: Jul 17, 2018
Accepted: Feb 8, 2019
Published online: Jun 27, 2019
Published in print: Sep 1, 2019
Discussion open until: Nov 27, 2019

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Authors

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Ph.D. Student, Faculty of Civil and Environmental Engineering, Dept. of Urban Drainage (SE), Univ. of Stuttgart, Stuttgart 70569, Germany (corresponding author). ORCID: https://orcid.org/0000-0002-6921-2381. Email: [email protected]
Milad Bakhshizadeh
Ph.D. Student, Dept. of Statistics, Columbia Univ., New York, NY 10027.
Ulrich Dittmer
Head of Research Group, Faculty of Civil and Environmental Engineering, Dept. of Urban Drainage (SE), Univ. of Stuttgart, Stuttgart 70569, Germany.
Ali Haghighi
Associate Professor, Faculty of Engineering, Dept. of Civil Engineering, Shahid Chamran Univ. of Ahvaz, Ahvaz 61357831351, Iran.
Wolfgang Nowak
Professor, Faculty of Civil and Environmental Engineering, Dept. of Stochastic Simulation and Safety Research (LS3), Univ. of Stuttgart, Stuttgart 70569, Germany.

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