Influence of the Pump Control System in the Selection of the Number of Fixed Speed and Variable Speed Drive Pumps in Water Pumping Stations

[EN] Proper design of a pumping system requires the use of a pump curve and set-point curve system. Both have to be as close as possible to optimize energy use. This is achieved by control systems in which the type of control (flow or pressure) and the combination between fixed speed drive (FSD) pumps and variable speed drive (VSD) pumps are involved. The objective of this work is to determine the optimal number of FSD and VSD pumps for each flow rate range in order to discuss the classic design of pumping stations and their control systems. For this, a methodology is applied that defines the parametric form of the pump curve, efficiency curve, and set-point curve in relation to the most efficient point. In this way, dimensionless expressions are obtained and the influence of the set-point parameters on the design of the control system can be analyzed. Additionally, the method includes an expression that estimates the performance of the frequency inverter, which is based on the load and pump speed rotation. The application of the methodology to different case studies allows us to question many classic procedures for pumping stations. In summary, it can be concluded that the appropriate number of variable speed pumps for each control system cannot be established in advance but requires an in-depth study of different available options.Briceño, C.; Iglesias Rey, PL.; Martínez-Solano, FJ. (2019). Influence of the Pump Control System in the Selection of the Number of Fixed Speed and Variable Speed Drive Pumps in Water Pumping Stations. Proceedings. 48(1):1-11. https://doi.org/10.3390/ECWS-4-06445S11148

Multi-Objective Optimization of Drainage Networks for Flood Control in Urban Area Due to Climate Change

[EN] The Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC) of the United Nations mentions that extreme rainfalls might increase their intensity and frequency in most mid-latitude locations and tropical regions by the end of this century, as a consequence of the rise of the average global surface temperature. Human action has given way to global warming which manifests with an increase in extreme rainfall. If these climatic conditions are added to the waterproofing that cities have been experiencing as a result of urban development, a scenario of growing concern for the managers of drainage systems is generated. The objective of drainage networks is preventing the accumulation of rainwater on the surface. Under the new conditions of climate change, these need to be modified and adapted to provide cities with the security they demand. The following article describes a method for flood control by using a rehabilitation model that connects the Storm Water Management Model (SWMM) 5 model with a genetic algorithm to find the best solutions to the flood problem. The final analysis is performed using the Pareto efficiency criteria. The innovation of this method is the inclusion of a local head loss in the drainage network, allowing the upstream flow to be retained by decreasing the downstream concentration time. These elements called hydraulic controls improve system performance and are installed in the initial part of some pipes coming out of storm tanks. As a case study, the developed method has been applied in a section of the drainage network of the city of Bogotá.Bayas-Jiménez, L.; Iglesias Rey, PL.; Martínez-Solano, FJ. (2019). Multi-Objective Optimization of Drainage Networks for Flood Control in Urban Area Due to Climate Change. Proceedings. 48(1):1-9. https://doi.org/10.3390/ECWS-4-06451S1948

Simultaneous Calibration of Leakages, Demands and Losses from Measurements. Application to the Guayaquil Network (Ecuador)

[EN] Hydraulic models of water supply networks are widely used by utility companies to assist in decision making. The reliability of the model strongly depends on the quality of its calibration, that is, the correspondence between the measure variables and the calculated ones. When dealing the model is static, the calibration is easy to reach for average values of the variables. On the contrary, dynamic models need to spatially allocate demands and distribute them among the nodes of the network, which complicate the problem. The paper proposes a methodology for preliminary calibration of hydraulic models based on advanced calibration techniques. This methodology is applied to models with both pressure-dependent and independent demands. Pressure-dependent demands are related to leakages and are spatially distributed according to the length of the pipes and volumetric efficiency of the district metering area (DMA) being considered. In order to model leakages, the Germanopoulos model has been chosen. Thus, leakage flow is a function of the length of the pipes and the pressure along them. The equation to quantify the volume of leakage is a modification of the orifice equation. From this leakage model, a calibration process is proposed. It consists in three steps. First, a global leakage coefficient is calculated in order to satisfy daily mass balance of produced unaccounted and consumed water. In the second step, a time demand pattern is calculated. After these two steps a preliminary model is obtained. Finally, a conventional calibration process is done using discrepancies between pressure measurements and model result to adjust both roughness and minor losses coefficients. In order to validate this calibration methodology, a case study was used in Guayaquil (Ecuador) in which three DMA were studied. The results showed that the method converges very quickly and is effective regardless the volumetric efficiency of the network.S39740418

Combinación de una metodología basada en proyectos y de una evaluación competitiva en la asignatura Análisis y modelación de redes de distribución de agua

[EN] One of the challenges arising from the implementation of the European Higher Education Area is the search for new methods of evaluation and learning. This paper proposes a new project-based learning initiative and a competitive evaluation system in the student's knowledge related to the analysis and planning of water distribution networks. The methodology is based on the development of a team work project to improve an existing water supply network. Based on computer simulations and acquired learning, students must find the best solution for system operation. Finally, the works (presented and exposed) are evaluated in a competitive way, giving the highest score to the best solution according to previously established criteria. This initiative has been implemented in the subject "Analysis and modeling of water distribution networks" that is taught in the Master in Hydraulic Engineering and Environment of the UPV. The initial results show a better perception of the subject by the students and a certain improvement in their academic results[ES] Uno de retos derivados de la puesta en marcha del Espacio Europeo de Educación Superior es la búsqueda de nuevos métodos de evaluación y aprendizaje. En este trabajo se plantea una nueva iniciativa de aprendizaje basada en proyectos y en una evaluación competitiva de los alumnos en sus conocimientos relacionados con el análisis y planificación de las redes de distribución de agua. La metodología se basa en el desarrollo en grupo de un proyecto de mejora de una red de abastecimiento existente. A partir de simulaciones computacionales y de los conocimientos adquiridos los alumnos deben encontrar la mejor solución de funcionamiento del sistema. Finalmente los trabajos presentados y expuestos son valorados de forma competitiva otorgando la máxima puntuación a la mejor solución de acuerdo a unos criterios previamente establecidos. Esta iniciativa ha sido implementada en la asignatura "Análisis y modelación de redes de distribución de agua" que se imparte en el Máster en Ingeniería Hidráulica y Medio Ambiente de la UPV. Los resultados iniciales muestran una mejor percepción de la asignatura por parte de los alumnos y una cierta mejora en los resultados académicos de los mismos.Iglesias Rey, PL.; Martínez-Solano, FJ. (2017). Combinación de una metodología basada en proyectos y de una evaluación competitiva en la asignatura Análisis y modelación de redes de distribución de agua. En In-Red 2017. III Congreso Nacional de innovación educativa y de docencia en red. Editorial Universitat Politècnica de València. 1267-1282. https://doi.org/10.4995/INRED2017.2017.6828OCS1267128

Combining Skeletonization, Setpoint Curves, and Heuristic Algorithms to Define District Metering Areas in the Battle of Water Networks District Metering Areas

[EN] The problem presented in this edition of the Battle of the Water Networks is to define district metering areas (DMAs) in a large network. The problem is addressed in two phases. First, the complexity of the network is simplified by dividing it into three operational areas. Second, an optimization algorithm defines DMAs, looking for the best feasible solution. A preliminary simulation of the network is made. From this, engineering judgment allows for defining an initial set of elements suitable to change. In the second stage, a heuristic algorithm is used to search for the best DMA definition by selecting the locations and settings of the pressure-reducing valves and isolation valves. The network is then divided into two categories: the main pipes and the distribution pipes. Only the distribution pipes can be closed. With these restrictions and those described in the problem, the algorithm looks for the best DMA definition based on both the pressure and demand distribution among all the DMAs.This work was supported by the Program Fondecyt Regular (Project 1180660) of the Comision Nacional de Investigacion Cientifica y Tecnologica (Conicyt), Chile.Martínez-Solano, FJ.; Iglesias Rey, PL.; Mora Melia, D.; Ribelles-Aguilar, J. (2018). Combining Skeletonization, Setpoint Curves, and Heuristic Algorithms to Define District Metering Areas in the Battle of Water Networks District Metering Areas. Journal of Water Resources Planning and Management. 144(6):04018023-1-04018023-7. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000938S04018023-104018023-7144

Impact of Hydraulic Variable Conditions in the Solution of Pumping Station Design through Sensitivity Analysis

[EN] A proper pumping station (PS) design should consider multiple criteria, such as technical, economic, and environmental aspects. The analytic hierarchy process (AHP) method can be applied for multi-criteria analysis in this type of engineering design, and it is based on the judgment of a group of experts for the criteria considered. On the other hand, the most common method for PS design is one based solely on economic aspects or life cycle cost (LCC). This paper presents a sensitivity analysis of the impact of the hydraulic conditions of a water distribution network (WDN) on the ultimate solution in two PS design approaches. The first approach was the classic method based on LCC minimization and the second approach was based on multi-criteria analysis by means of AHP accounting for technical, economic, and environmental aspects. In this way, the effects of different meaningful variables for PS design, such as the mean demand, parameters of the setpoint curve, electric tariffs, and interest rates, were evaluated to determine the robustness of the PS solutions obtained. The obtained results of the sensitivity analysis in the case study demonstrated that the PS design based on multiple criteria decision analysis was more reliable and robust than the classic PS design against variations that can occur in a WDN, especially in the mean flow, setpoint curve, and electric tariff. The variations in these parameters of the WDN did not impact the ultimate solutions of the PS design approaches when within the tolerance ranges, but these ranges were wider in the second approach to PS design than in the first approach.Briceño-León, CX.; Iglesias Rey, PL.; Martínez-Solano, FJ.; Creaco, E. (2023). Impact of Hydraulic Variable Conditions in the Solution of Pumping Station Design through Sensitivity Analysis. Water. 15(17):1-23. https://doi.org/10.3390/w15173067123151

Search Space Reduction for Genetic Algorithms Applied to Drainage Network Optimization Problems

[EN] In recent years, a significant increase in the number of extreme rains around the world has been observed, which has caused an overpressure of urban drainage networks. The lack of capacity to evacuate this excess water generates the need to rehabilitate drainage systems. There are different rehabilitation methodologies that have proven their validity; one of the most used is the heuristic approach. Within this approach, the use of genetic algorithms has stood out for its robustness and effectiveness. However, the problem to be overcome by this approach is the large space of solutions that algorithms must explore, affecting their efficiency. This work presents a method of search space reduction applied to the rehabilitation of drainage networks. The method is based on reducing the initially large search space to a smaller one that contains the optimal solution. Through iterative processes, the search space is gradually reduced to define the final region. The rehabilitation methodology contemplates the optimization of networks using the joint work of the installation of storm tanks, replacement of pipes, and implementation of hydraulic control elements. The optimization model presented uses a pseudo genetic algorithm connected to the SWMM model through a toolkit. Optimization problems consider a large number of decision variables, and could require a huge computational effort. For this reason, this work focuses on identifying the most promising region of the search space to contain the optimal solution and to improve the efficiency of the process. Finally, this method is applied in real networks to show its validity.This work was supported by the Program Fondecyt Regular (Project No. 1210410 and Project No. 1180660) of the Agencia Nacional de Investigación y Desarrollo (ANID), Chile.Bayas-Jiménez, L.; Martínez-Solano, FJ.; Iglesias Rey, PL.; Mora-Meliá, D. (2021). Search Space Reduction for Genetic Algorithms Applied to Drainage Network Optimization Problems. Water. 13(15):1-24. https://doi.org/10.3390/w13152008S124131

Multi-Objective Optimization for Urban Drainage or Sewer Networks Rehabilitation through Pipes Substitution and Storage Tanks Installation

[EN] Drainage networks are civil constructions which do not generally attract the attention of decision-makers. However, they are of crucial importance for cities; this can be seen when a city faces floods resulting in extensive and expensive damage. The increase of rain intensity due to climate change may cause deficiencies in drainage networks built for certain defined flows which are incapable of coping with sudden increases, leading to floods. This problem can be solved using different strategies; one is the adaptation of the network through rehabilitation. A way to adapt the traditional network approach consists of substituting some pipes for others with greater diameters. More recently, the installation of storm tanks makes it possible to temporarily store excess water. Either of these solutions can be expensive, and an economic analysis must be done. Recent studies have related flooding with damage costs. In this work, a novel solution combining both approaches (pipes and tanks) is studied. A multi-objective optimization algorithm based on the NSGA-II is proposed for the rehabilitation of urban drainage networks through the substitution of pipes and the installation of storage tanks. Installation costs will be o set by damage costs associated with flooding. As a result, a set of optimal solutions that can be implemented based on the objectives to be achieved by municipalities or decisions makers. The methodology is finally applied to a real network located in the city of Bogotá, Colombia.This work was supported by the Program Fondecyt Regular (Project 1180660) of the Comision Nacional de Investigacion Cientifica y Tecnologica (Conicyt), Chile.Ngamalieu-Nengoue, UA.; Martínez-Solano, FJ.; Iglesias Rey, PL.; Mora-Meliá, D. (2019). Multi-Objective Optimization for Urban Drainage or Sewer Networks Rehabilitation through Pipes Substitution and Storage Tanks Installation. Water. 11(5). https://doi.org/10.3390/w11050935S115Kordana, S. (2018). The identification of key factors determining the sustainability of stormwater systems. E3S Web of Conferences, 45, 00033. doi:10.1051/e3sconf/20184500033Yazdi, J., Lee, E. H., & Kim, J. H. (2015). Stochastic Multiobjective Optimization Model for Urban Drainage Network Rehabilitation. Journal of Water Resources Planning and Management, 141(8), 04014091. doi:10.1061/(asce)wr.1943-5452.0000491Starzec, M., Dziopak, J., Słyś, D., Pochwat, K., & Kordana, S. (2018). Dimensioning of Required Volumes of Interconnected Detention Tanks Taking into Account the Direction and Speed of Rain Movement. Water, 10(12), 1826. doi:10.3390/w10121826Mailhot, A., & Duchesne, S. (2010). Design Criteria of Urban Drainage Infrastructures under Climate Change. Journal of Water Resources Planning and Management, 136(2), 201-208. doi:10.1061/(asce)wr.1943-5452.0000023Gulizia, C., & Camilloni, I. (2014). Comparative analysis of the ability of a set of CMIP3 and CMIP5 global climate models to represent precipitation in South America. International Journal of Climatology, 35(4), 583-595. doi:10.1002/joc.4005Ma, M., He, B., Wan, J., Jia, P., Guo, X., Gao, L., … Hong, Y. (2018). Characterizing the Flash Flooding Risks from 2011 to 2016 over China. Water, 10(6), 704. doi:10.3390/w10060704Kirshen, P., Caputo, L., Vogel, R. M., Mathisen, P., Rosner, A., & Renaud, T. (2015). Adapting Urban Infrastructure to Climate Change: A Drainage Case Study. Journal of Water Resources Planning and Management, 141(4), 04014064. doi:10.1061/(asce)wr.1943-5452.0000443Moselhi, O., & Shehab-Eldeen, T. (2000). Classification of Defects in Sewer Pipes Using Neural Networks. Journal of Infrastructure Systems, 6(3), 97-104. doi:10.1061/(asce)1076-0342(2000)6:3(97)Driessen, P., Hegger, D., Kundzewicz, Z., van Rijswick, H., Crabbé, A., Larrue, C., … Wiering, M. (2018). Governance Strategies for Improving Flood Resilience in the Face of Climate Change. Water, 10(11), 1595. doi:10.3390/w10111595Reyna, S. M., Vanegas, J. A., & Khan, A. H. (1994). Construction Technologies for Sewer Rehabilitation. Journal of Construction Engineering and Management, 120(3), 467-487. doi:10.1061/(asce)0733-9364(1994)120:3(467)Abraham, D. M., Wirahadikusumah, R., Short, T. J., & Shahbahrami, S. (1998). Optimization Modeling for Sewer Network Management. Journal of Construction Engineering and Management, 124(5), 402-410. doi:10.1061/(asce)0733-9364(1998)124:5(402)Sebti, A., Fuamba, M., & Bennis, S. (2016). Optimization Model for BMP Selection and Placement in a Combined Sewer. Journal of Water Resources Planning and Management, 142(3), 04015068. doi:10.1061/(asce)wr.1943-5452.0000620Zahmatkesh, Z., Burian, S. J., Karamouz, M., Tavakol-Davani, H., & Goharian, E. (2015). Low-Impact Development Practices to Mitigate Climate Change Effects on Urban Stormwater Runoff: Case Study of New York City. Journal of Irrigation and Drainage Engineering, 141(1), 04014043. doi:10.1061/(asce)ir.1943-4774.0000770Mora-Melià, D., López-Aburto, C., Ballesteros-Pérez, P., & Muñoz-Velasco, P. (2018). Viability of Green Roofs as a Flood Mitigation Element in the Central Region of Chile. Sustainability, 10(4), 1130. doi:10.3390/su10041130Ugarelli, R., & Di Federico, V. (2010). Optimal Scheduling of Replacement and Rehabilitation in Wastewater Pipeline Networks. Journal of Water Resources Planning and Management, 136(3), 348-356. doi:10.1061/(asce)wr.1943-5452.0000038Ngamalieu-Nengoue, U., Iglesias-Rey, P., Martínez-Solano, F., Mora-Meliá, D., & Saldarriaga Valderrama, J. (2019). Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution. Water, 11(3), 515. doi:10.3390/w11030515Lee, E., & Kim, J. (2017). Development of Resilience Index Based on Flooding Damage in Urban Areas. Water, 9(6), 428. doi:10.3390/w9060428Iglesias-Rey, P. L., Martínez-Solano, F. J., Saldarriaga, J. G., & Navarro-Planas, V. R. (2017). Pseudo-genetic Model Optimization for Rehabilitation of Urban Storm-water Drainage Networks. Procedia Engineering, 186, 617-625. doi:10.1016/j.proeng.2017.03.278Fadel, A. W., Marques, G. F., Goldenfum, J. A., Medellín-Azuara, J., & Tilmant, A. (2018). Full Flood Cost: Insights from a Risk Analysis Perspective. Journal of Environmental Engineering, 144(9), 04018071. doi:10.1061/(asce)ee.1943-7870.0001414Duan, H.-F., Li, F., & Yan, H. (2016). Multi-Objective Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: LID Implementation and Analysis. Water Resources Management, 30(13), 4635-4648. doi:10.1007/s11269-016-1444-1Starzec, M. (2018). A critical evaluation of the methods for the determination of required volumes for detention tank. E3S Web of Conferences, 45, 00088. doi:10.1051/e3sconf/20184500088Pochwat, K. B., & Słyś, D. (2018). Application of Artificial Neural Networks in the Dimensioning of Retention Reservoirs. Ecological Chemistry and Engineering S, 25(4), 605-617. doi:10.1515/eces-2018-0040Cunha, M. C., Zeferino, J. A., Simões, N. E., & Saldarriaga, J. G. (2016). Optimal location and sizing of storage units in a drainage system. Environmental Modelling & Software, 83, 155-166. doi:10.1016/j.envsoft.2016.05.015Martino, G. D., De Paola, F., Fontana, N., Marini, G., & Ranucci, A. (2011). Pollution Reduction in Receivers: Storm-Water Tanks. Journal of Urban Planning and Development, 137(1), 29-38. doi:10.1061/(asce)up.1943-5444.0000037Andrés-Doménech, I., Montanari, A., & Marco, J. B. (2012). Efficiency of Storm Detention Tanks for Urban Drainage Systems under Climate Variability. Journal of Water Resources Planning and Management, 138(1), 36-46. doi:10.1061/(asce)wr.1943-5452.0000144Wang, M., Sun, Y., & Sweetapple, C. (2017). Optimization of storage tank locations in an urban stormwater drainage system using a two-stage approach. Journal of Environmental Management, 204, 31-38. doi:10.1016/j.jenvman.2017.08.024Cunha, M. C., Zeferino, J. A., Simões, N. E., Santos, G. L., & Saldarriaga, J. G. (2017). A decision support model for the optimal siting and sizing of storage units in stormwater drainage systems. International Journal of Sustainable Development and Planning, 12(01), 122-132. doi:10.2495/sdp-v12-n1-122-132Dziopak, J. (2018). A wastewater retention canal as a sewage network and accumulation reservoir. E3S Web of Conferences, 45, 00016. doi:10.1051/e3sconf/20184500016Słyś, D. (2018). An innovative retention canal – a case study. E3S Web of Conferences, 45, 00084. doi:10.1051/e3sconf/20184500084Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182-197. doi:10.1109/4235.996017Martínez-Solano, F., Iglesias-Rey, P., Saldarriaga, J., & Vallejo, D. (2016). Creation of an SWMM Toolkit for Its Application in Urban Drainage Networks Optimization. Water, 8(6), 259. doi:10.3390/w8060259Wang, Q., Zhou, Q., Lei, X., & Savić, D. A. (2018). Comparison of Multiobjective Optimization Methods Applied to Urban Drainage Adaptation Problems. Journal of Water Resources Planning and Management, 144(11), 04018070. doi:10.1061/(asce)wr.1943-5452.0000996Mora-Melia, D., Iglesias-Rey, P. L., Martinez-Solano, F. J., & Ballesteros-Pérez, P. (2015). Efficiency of Evolutionary Algorithms in Water Network Pipe Sizing. Water Resources Management, 29(13), 4817-4831. doi:10.1007/s11269-015-1092-xMora-Melià, D., Martínez-Solano, F. J., Iglesias-Rey, P. L., & Gutiérrez-Bahamondes, J. H. (2017). Population Size Influence on the Efficiency of Evolutionary Algorithms to Design Water Networks. Procedia Engineering, 186, 341-348. doi:10.1016/j.proeng.2017.03.20

Population size influence on the efficiency of evolutionary algorithms to design water networks

[EN] The optimal sizing in water distribution networks (WDN) is of great interest because it allows the selection of alternative economical solutions that ensure design requirements at nodes (demands and pressure) and at lines (velocities). Among all the available design methodologies, this work analyzes those based on evolutionary algorithms (EAs). EAs are a combination of deterministic and random approaches, and the performance of the algorithm depends on the searching process. Each EA features specific parameters, and a proper calibration helps to reduce the randomness factor and improves the effectiveness of the search for minima. More specifically, the only common parameter to all techniques is the initial size of the random population (P). It is well known that population size should be large enough to guarantee the diversity of solutions and must grow with the number of decision variables. However, the larger the population size, the slower the convergence process. This work attempts to determine the population size that yields better solutions in less time. In order to get that, the work applies a method based on the concept of efficiency (E) of an algorithm. This efficiency relates the quality of the obtained solution with the computational effort that every EA requires to find the final design solution. This ratio E also represents an objective indicator to compare the performance of different algorithms applied to WDN optimization. The proposed methodology is applied to the pipe-sizing problem of three medium-sized benchmark networks, such as Hanoi, New York Tunnel and GoYang networks. Thus, from the currently available algorithms, this work includes evolutionary methodologies based on a Pseudo-Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Harmony Search (HS). First, the different algorithm parameters for each network are calibrated. The values used for every EA are those that have been calculated in previous works. Secondly, specific parameters remain constant and the population size is modified. After more than 500,000 simulations, the influence of the population size is statistically analyzed in the final solutions. Finally, the efficiency was analyzed for each network and algorithm. The results ensure the best possible configuration based on the quality of the solutions and the convergence speed of the algorithm, depending of the population size.Mora-Melia, D.; Martínez-Solano, FJ.; Iglesias Rey, PL.; Gutiérrez-Bahamondes, JH. (2017). Population size influence on the efficiency of evolutionary algorithms to design water networks. Procedia Engineering. 186:341-348. doi:10.1016/j.proeng.2017.03.209S34134818

Implementation of Quantitative Resilience Measurement Criteria in Irrigation Systems

[EN] This paper shows the research developed in order to evaluate two resilience indicators, PHRI and Rsys, in the San Francisco de Cunuguachay pressurized irrigation network, specifically in the Yulchirón 2 branch. In this context, the irrigation branch was designed to operate on an on-demand basis and in shifts in order to evaluate the indicators in both operation modes, subjecting the network to unfavourable events. The resilience at the level of pressures and demands of the branch is estimated to remain operational in the different disruptive events, meeting the minimum conditions of the initial design. In this regard, with the implementation of resilience indicators in irrigation networks, it is possible to diagnose the response of the network to changes in its operation. Therefore, the use of indicators allows for obtaining a more reliable and adaptable network to changes in its operation. Consequently, the use of indicators allows for obtaining more reliable and adaptable networks to changes, since the engineer can make the right decisions in the project, improving the planning and management of irrigation networks.Universidad Tecnica Particular de Loja (Ecuador).Lapo Pauta, CM.; Briceño Ojeda, VA.; Martínez-Solano, FJ.; Benavides Muñoz, H. (2022). Implementation of Quantitative Resilience Measurement Criteria in Irrigation Systems. Water. 14(17):1-20. https://doi.org/10.3390/w14172698120141