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

Bakhshipour, Amin E.; Bakhshizadeh, Milad; Dittmer, Ulrich; Haghighi, Ali; Nowak, Wolfgang

doi:10.1061/(asce)wr.1943-5452.0001103

Cited by 32 publications

(40 citation statements)

References 30 publications

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“…2 simulation-optimization procedure proposed in this study and demonstrates the connection between different algorithms. The hanging gardens algorithm, recently introduced by Bakhshipour et al (2019a), generates a sewer layout based on graph theory, generating all possible sewer layouts and exploring different DCs. The algorithm starts with nominating several outlet candidates in the area under design and generating a centralized layout with an arbitrary outlet from the candidate list.…”

Section: Proposed Frameworkmentioning

confidence: 99%

“…Additionally, conventional design approaches have increasingly been questioned because of their centralization and their focus on pipe networks only (Eggimann et al 2015;Poustie et al 2014). Recent studies in urban water management favor decentralized solutions for UDSs (Damodaram et al 2010;Eggimann 2016) to decrease life-cycle costs (Bakhshipour et al 2019a;Tavakol-Davani et al 2018); to increase system resilience, flexibility, and adaptability (Chelleri et al 2015;Mugume et al 2015b;Tavakol-Davani et al 2018); and to reduce adverse impacts on the environment (Barron et al 2017;Goncalves et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…In addition to GBIs, decentralization can be obtained via conventional gray infrastructures (CGIs) by dividing heavily centralized pipe networks into several parts with multiple outlets or by employing distributed storage tanks (Bakhshipour et al 2019a;Eggimann et al 2015). In contrast to GBIs, pure CGIs are proven to have a degrading impact on the environment due to the discharge of polluted stormwater or wastewater to bodies of water.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Toward Sustainable Urban Drainage Infrastructure Planning: A Combined Multiobjective Optimization and Multicriteria Decision-Making Platform

Bakhshipour

Dittmer

Haghighi

et al. 2021

J. Water Resour. Plann. Manage.

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This study aims to introduce a generic solution in the context of a multicriteria decision making (MCDM) platform to (1) facilitate the optimization of hybrid (de)centralized urban drainage infrastructures with many decisions and often conflicting objectives (reliability, resilience, sustainability, and construction costs); (2) investigate the trade-offs between performance indicators and system configuration; and(3) avoid conflicts between optimization analysts and decision makers by involving the latter in different stages of planning. For this purpose, first, all optimum design scenarios of hybrid urban drainage systems (UDSs) are generated through multiobjective optimization (MOO). Then a platform based on MCDM is presented to comprehensively analyze the solutions found by MOO and to rank the solutions. For the sake of demonstration, the proposed framework is applied to a real case study. The results confirm the ability of the proposed framework in handling many decisions, objectives, and indicators for solving a complex optimization problem in a reasonable time by delivering realistic solutions. In addition, the results demonstrate the important role of the degree of (de)centralization (DC) and the layout configuration in obtaining optimal solutions.

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Section: Proposed Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Toward Sustainable Urban Drainage Infrastructure Planning: A Combined Multiobjective Optimization and Multicriteria Decision-Making Platform

Bakhshipour

Dittmer

Haghighi

et al. 2021

J. Water Resour. Plann. Manage.

Self Cite

View full text Add to dashboard Cite

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“…In recent years, mathematical optimization techniques have been exploited broadly to aid these decision-making procedures by assessing the performance of different alternatives [18][19][20]. These techniques' applications include the optimal planning and design of urban drainage systems (UDSs) (e.g., [21][22][23][24][25]) optimal UDS retrofitting and rehabilitation strategies (e.g., [26][27][28][29][30][31][32][33][34]), and optimizing control and the operation of UDSs (e.g., [35][36][37][38][39][40]). As the main domain of the present study is optimizing the operation of UDSs, in the following paragraphs we review previous studies in this field.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Combined Sewer System Operation Strategies Based on Highly Resolved Online Data

Bachmann-Machnik

Brüning

Bakhshipour

et al. 2021

Water

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Operational and structural interventions in the field of stormwater management are usually planned based on long-term simulations using rainfall-runoff models. The simulation results are often highly uncertain due to imperfections of the model structure and inevitable uncertainties of input data. The trend towards monitoring of combined sewer overflows (CSO) structures produces more and more data which can be used to replace parts of the models and reduce uncertainty. In this study we use highly resolved online flow and quality monitoring data to optimize static outflow settings of CSO tanks. In a second step, the additional benefit of real time control (RTC) strategies is assessed. In both cases the aim is the reduction of CSO emissions. The methodology is developed on a conceptual drainage system with two CSO tanks and then applied to a case study area in Southern Germany with six tanks. A measured time series of six months is sufficient for reliable optimization results in the conceptual catchment as well as in the case study area system. In the investigated system the choice of the optimization objective (minimum overflow volume or total suspended solids (TSS) load) had no significant influence on the result. The presented method is particularly suitable for areas in which reliable monitoring data are available, but hydrological parameters of the catchment areas are uncertain. One strength of the proposed approach lies in the accurate representation of the distribution of emissions between the individual CSO structures over an entire system. This way emissions can be fitted to the sensitivity of the receiving water body at the specific outlets.

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“…Furthermore, a looped structure cannot be assessed with such steady-state methods. To overcome these limitations, many researchers have extensively focused on optimal design processes using various optimization techniques [4][5][6][7][8][9][10][11][12]. Since these optimization algorithms try to find the optimal combination of pipe diameters as well as slopes among numerous candidates to achieve a minimum-cost solution for the whole network, they are computationally very expensive.…”

Section: Introductionmentioning

confidence: 99%

Assessing Redundancy in Stormwater Structures Under Hydraulic Design

Hesarkazzazi

Hajibabaei

Reyes-Silva

et al. 2020

Water

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As environmental change is happening at an unprecedented pace, a reliable and proper urban drainage design is required to alleviate the negative effects of unexpected extreme rainfall events occurring due to the natural and anthropogenic variations such as climate change and urbanization. Since structure/configuration of a stormwater network plays an imperative role in the design and hydraulic behavior of the system, the goal of this paper is to elaborate upon the significance of possessing redundancy (e.g., alternative flow paths as in loops) under simultaneous hydraulic design in stormwater pipe networks. In this work, an innovative approach based on complex network properties is introduced to systematically and successively reduce the number of loops and, therefore, the level of redundancy, from a given grid-like (street) network. A methodology based on hydrodynamic modelling is utilized to find the optimal design costs for all created structures while satisfying a number of hydraulic design constraints. As a general implication, when structures are subject to extreme precipitation events, the overall capability of looped configurations for discharging runoff more efficiently is higher compared to more branched ones. The reason is due to prevailing (additional) storage volume in the system and existing more alternative water flow paths in looped structures, as opposed to the branched ones in which only unique pathways for discharging peak runoff exist. However, the question arises where to best introduce extra paths in the network? By systematically addressing this question with complex network analysis, the influence of downstream loops was identified to be more significant than that of upstream loops. Findings, additionally, indicated that possessing loop and introducing extra capacity without determining appropriate additional pipes positions in the system (flow direction) can even exacerbate the efficiency of water discharge. Considering a reasonable and cost-effective budget, it would, therefore, be worthwhile to install loop-tree-integrated stormwater collection systems with additional pipes at specific locations, especially downstream, to boost the hydraulic reliability and minimize the damage imposed by the surface flooding upon the metropolitan area.

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

Cited by 32 publications

References 30 publications

Toward Sustainable Urban Drainage Infrastructure Planning: A Combined Multiobjective Optimization and Multicriteria Decision-Making Platform

Toward Sustainable Urban Drainage Infrastructure Planning: A Combined Multiobjective Optimization and Multicriteria Decision-Making Platform

Evaluation of Combined Sewer System Operation Strategies Based on Highly Resolved Online Data

Assessing Redundancy in Stormwater Structures Under Hydraulic Design

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