Abstract

The present work aims to investigate the effect of pipe roughness on the construction cost of sewer networks in steep terrains. To achieve this objective, a sensitivity analysis was performed, wherein a sewer network was designed with different pipe roughnesses and varying terrain slopes to simulate four distinct steep terrains. In addition, this study considers the effect of new pipes with very high roughnesses that have appeared on the market in recent years, evaluating their influence on sewer network design and construction cost in steep terrains. The sewer networks were designed using an existing methodology for an optimal design that includes drop manholes if required to meet all the hydraulic constraints. The effect of pipe roughness was tested in two sewer networks from distinct sectors of Bogotá, Colombia.

Practical Applications

This study has relevance when considering its ability to lead to the expansion of the sewer service, particularly in hilly regions. The use of higher roughness pipes as a result of this finding has a direct impact on reducing the need for drop manholes, leading to a significant reduction in associated costs. This reduction in costs is of paramount importance in the viability and execution of sewer projects in communities facing significant financial constraints. By minimizing costs, this approach not only optimizes project efficiency but also facilitates access to basic sanitation services in geographic areas previously considered difficult to address. Consequently, this research not only improves sewer systems but also contributes to community development.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Information on the sewer networks used as case studies can be found in the Supplemental Materials. This information includes the coordinates, ground elevation, and inflow for each manhole.

References

Afshar, M. H. 2010. “A parameter free continuous ant colony optimization algorithm for the optimal design of storm sewer networks: Constrained and unconstrained approach.” Adv. Eng. Software 41 (2): 188–195. https://doi.org/10.1016/j.advengsoft.2009.09.009.
Afshar, M. H. 2012. “Rebirthing genetic algorithm for storm sewer network design.” Sci. Iran. 19 (1): 11–19. https://doi.org/10.1016/j.scient.2011.12.005.
Afshar, M. H., M. M. Zaheri, and J. H. Kim. 2016. “Improving the efficiency of cellular automata for sewer network design optimization problems using adaptive refinement.” Procedia Eng. 154 (Sep): 1439–1447. https://doi.org/10.1016/j.proeng.2016.07.517.
Cozzolino, L., L. Cimorelli, C. Covelli, C. Mucherino, and D. Pianese. 2015. “An innovative approach for drainage network sizing.” Water 7 (2): 546–567. https://doi.org/10.3390/w7020546.
Duque, N., D. Duque, A. Aguilar, and J. Saldarriaga. 2020. “Sewer network layout selection and hydraulic design using a mathematical optimization framework.” Water 12 (12): 3337. https://doi.org/10.3390/w12123337.
Haghighi, A., and A. E. Bakhshipour. 2012. “Optimization of sewer networks using an adaptive genetic algorithm.” Water Resour. Manage. 26 (12): 3441–3456. https://doi.org/10.1007/s11269-012-0084-3.
Haghighi, A., and A. E. Bakhshipour. 2015. “Deterministic integrated optimization model for sewage collection networks using Tabu search.” J. Water Resour. Plann. Manage. 141 (1): 04014045. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000435.
Hassan, W. H., M. H. Jassem, and S. S. Mohammed. 2018. “A GA-HP model for the optimal design of sewer networks.” Water Resour. Manage. 32 (3): 865–879. https://doi.org/10.1007/s11269-017-1843-y.
Li, G., and R. G. Matthew. 1990. “New approach for optimization of urban drainage systems.” J. Environ. Eng. 116 (5): 927–944. https://doi.org/10.1061/(ASCE)0733-9372(1990)116:5(927).
Maurer, M., M. Wolfram, and H. Anja. 2010. “Factors affecting economies of scale in combined sewer systems.” Water Sci. Technol. 62 (1): 36–41. https://doi.org/10.2166/wst.2010.241.
Moeini, R., and M. H. Afshar. 2017. “Arc based ant colony optimization algorithm for optimal design of gravitational sewer networks.” Ain Shams Eng. J. 8 (2): 207–223. https://doi.org/10.1016/j.asej.2016.03.003.
Moeini, R., and M. H. Afshar. 2018. “Extension of the hybrid ant colony optimization algorithm for layout and size optimization of sewer networks.” J. Environ. Inf. 33 (2): 68–81. https://doi.org/10.3808/jei.201700369.
Palumbo, A., L. Cimorelli, C. Covelli, L. Cozzolino, C. Mucherino, and D. Pianese. 2014. “Optimal design of urban drainage networks.” Civ. Eng. Environ. Syst. 31 (1): 79–96. https://doi.org/10.1080/10286608.2013.820277.
Safavi, H., and M. A. Geranmehr. 2016. “Optimization of sewer networks using the mixed-integer linear programming.” Urban Water J. 14 (5): 452–459. https://doi.org/10.1080/1573062X.2016.1176222.
Saldarriaga, J., J. Herrán, and P. L. Iglesias-Rey. 2023. “Optimal sewer network design for cities in hilly regions.” Urban Water J. 20 (8): 1052–1062. https://doi.org/10.1080/1573062X.2023.2229303.
Saldarriaga, J., J. Zambrano, J. Herrán, L. Pedro, and P. L. Iglesias-Rey. 2021. “Layout selection for an optimal sewer network design based on land topography, streets network topology, and inflows.” Water 13 (18): 2491. https://doi.org/10.3390/w13182491.
Swamee, P. K., and A. K. Sharma. 2013. “Optimal design of a sewer line using linear programming.” Appl. Math. Modell. 37 (6): 4430–4439. https://doi.org/10.1016/j.apm.2012.09.041.
Yen, B. C. 1992. “Dimensionally homogeneous Manning’s formula.” J. Hydraul. Eng. 118 (9): 1326–1332. https://doi.org/10.1061/(ASCE)0733-9429(1992)118:9(1326).
Zaheri, M. M., R. Ghanbari, and M. H. Afshar. 2020. “A two-phase simulation–optimization cellular automata method for sewer network design optimization.” Eng. Optim. 52 (4): 620–636. https://doi.org/10.1080/0305215X.2019.1598983.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 150Issue 11November 2024

History

Received: Dec 5, 2023
Accepted: May 20, 2024
Published online: Sep 11, 2024
Published in print: Nov 1, 2024
Discussion open until: Feb 11, 2025

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Authors

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Professor, Dept. of Civil and Environmental Engineering, Universidad de los Andes, Bogotá 111711, Colombia (corresponding author). ORCID: https://orcid.org/0000-0003-1265-2949. Email: [email protected]
Juana Herrán [email protected]
Research Engineer, Dept. of Civil and Environmental Engineering, Universidad de los Andes, Bogotá 111711, Colombia. Email: [email protected]
María A. González [email protected]
Research Engineer, Dept. of Civil and Environmental Engineering, Universidad de los Andes, Bogotá 111711, Colombia. Email: [email protected]
Research Engineer, Dept. of Civil and Environmental Engineering, Universidad de los Andes, Bogotá 111711, Colombia. ORCID: https://orcid.org/0009-0000-7771-3699. Email: [email protected]
Professor, Dept. of Hydraulic Engineering and Environment, Universitat Politècnica de València, València, Camino de Vera 46022, Spain. ORCID: https://orcid.org/0000-0001-8300-3255. Email: [email protected]

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