Minimization of Operational and Seepage Losses in Agricultural Water Distribution Systems Using the Ant Colony Optimization

Lord, Sara Azargashb; Shahdany, Seied Mehdy Hashemy; Roozbahani, Abbas

doi:10.1007/s11269-020-02744-9

Cited by 7 publications

(5 citation statements)

References 39 publications

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“…In addition to being easy to understand, this method provides the possibility of linking to existing simulation models, suitable for solving complex mathematical problems and providing several almost optimal solutions, especially for problems with a correlation of decision variables. Examples include scheduling and allocating problems (Reddy & Adarsh 2010;Lord et al 2021).…”

Section: The Rank-based Ant System (As Rank )mentioning

confidence: 99%

“…The nonlinear solver relies on successive linear programming for calculating new trails in the LINGO model. Although this method uses an increased number of iterations, a linear approximation is used in each iteration to accelerate the calculations (Lord et al 2021).…”

Section: Evaluating the Aco-based Modelmentioning

confidence: 99%

“…A sensitivity analysis was conducted to optimize the parameters of the ACO to control the algorithm's search behavior, comprising the number of ants, iterations, α, b, ρ, s and Qu. In order to accelerate the convergence and not get stuck in the local optimal solutions and reach the optimal global solutions, the value ranges of these parameters in the form of Table 1 are recommended using the values proposed in previous research (Zecchin et al, 2005(Zecchin et al, , 2007Pérez-Delgado, 2009;Nguyen et al 2016;Tseng et al 2019;Lord et al 2021). According to the table, While one of the parameters was tested, others stay constant, and this process will be continued until all the parameters were determined (Yousefikhoshbakht et al 2016;Lord et al 2021).…”

Section: Aco Parameters Settingmentioning

confidence: 99%

“…It has been used to solve a wide range of single and multi-objective water resources management problems in recent years (Afshar & Moeini 2008). The algorithm was chosen because of its application and success in the optimal multi-purpose design of agricultural water conveying canals (Lord et al 2021), water distribution system design (Hajibandeh & Nazif 2018), irrigation management (Nguyen et al 2016), urban sewer and drainage systems (Moeini & Afshar 2019), optimal operation of reservoirs and surface water management (Afshar et al 2015), groundwater management (Ketabchi & Ataie-Ashtiani 2015), and hybrid use of surface and groundwater resources (Safavi & Enteshari 2016), and environmental issues (Karri et al 2020). According to the above research, the ant colony algorithm has performed successfully as a useful and efficient method in many issues.…”

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confidence: 99%

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Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis

Lord

Ghasabsaraei

Movahedinia

et al. 2021

Water Science and Technology

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An increase in stormwater frequency following the rapid development of urbanization has drawn attention to the mitigating strategies in recent decades. For the first time, the present study aims to conduct a local rehabilitation in stormwater collecting systems by (i) detecting the critical nodes along with the canal network and (ii) redesigning the critical canal reaches using Ant Colony Optimization (ACO) to create maximum capacity for flood discharge with minimum reconstruction cost while considering the probability of exceedance of the flood as a constraint. Hence, using the SWMM model, the flow in the collection system was simulated, and the inundation points in the study area in the eastern Tehran metropolis were determined. After determining the critical points, the hydraulic stimulation model for the selected canal flows was developed using HEC-RAS software to accurately simulate each critical bridge's flow. Then, the optimal parameters for the canal bed width and canal depth were obtained using ACO and defining a probability objective function using the flood probability exceedance as the redesign constraint. The results from the optimizer were compared with those of the LINGO nonlinear model. Finally, the operational performance of the redesigned system was evaluated using the optimal selected parameters. The results showed that in redesigning the studied canals, the two widening and deepening options are needed to obtain a discharge with sufficient flow capacity in various return periods (RPs). The optimization results for the first to third critical sections for a design discharge with a 100-year RPs showed that the calculated cost was 19.765(*106), 13.327(*106), and 43.139(*106) IR Rials (1USD = 202000IRR), respectively. For the selected sections, the optimal bed width is 6.97, 8.97, and 10.93 meters, and the optimal depth is 3.68, 4.81, and 4.04 meters, respectively. The results indicate that the local modification in the eastern flood control canal adequately improved inundation problem reduction in various RPs – i.e., for a 10-year RP, the number of node flooding dropped from 4 to zero, the inundated area from 17 percent to zero, and the overflow volume from (10–45) to zero. It also reduced overflow volume from (30–65), (43–74), and (70–92) in the status quo to (4–12), (11–27), and (24–36) percent for precipitations with 25, 50 and 100-year RPs, respectively.

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Section: The Rank-based Ant System (As Rank )mentioning

confidence: 99%

Section: Evaluating the Aco-based Modelmentioning

confidence: 99%

Section: Aco Parameters Settingmentioning

confidence: 99%

mentioning

confidence: 99%

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Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis

Lord

Ghasabsaraei

Movahedinia

et al. 2021

Water Science and Technology

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“…Barkhordari et al (2020) report that in Spain around 55% seepage losses were observed from the total canal flows diverted to farmlands. Azargashb Lord et al (2021) presents various estimates of water losses from irrigation networks worldwide. It reports about 50% of water losses from the irrigation infrastructure in Southern Pakistan, above 40% in Mexico, and around 45% in central India.…”

Section: Introductionmentioning

confidence: 99%

The use of empirical equations for seepage estimation in comparison with observed losses from irrigation canals

Syed,

Shuqi

2023

Journal of Water and Land Development

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This study analyses and presents a technical comparison of seepage estimation from 11 empirical equations with measured seepage losses by the inflow-outflow method from two lined and unlined secondary irrigation canals sub-divided into different reach lengths. A significant margin of error was observed between empirical and inflowoutflow methods, hence modifications in empirical equations were performed. Results reveal that the average seepage losses observed in unlined and lined canals by inflow-outflow method were 9.15 and 3.89%, respectively. Moreover, only the Chinese equation estimated seepage losses for an unlined canal as similar to observed losses (0.11 m 3 •s -1 ) whereas the Indian equation estimated similar results for a lined canal to those observed in the field (0.09 m 3 •s -1 ). However, the rest of empirical equations were modified in accordance with error percentage with regard to the observed losses. The empirical equations were then observed to estimate reliable results of seepage.

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Prioritization of surface water distribution in irrigation districts to mitigate crop yield reduction during water scarcity

Avargani

Shahdany

Kamrani

et al. 2022

Agricultural Water Management

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Minimization of Operational and Seepage Losses in Agricultural Water Distribution Systems Using the Ant Colony Optimization

Cited by 7 publications

References 39 publications

Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis

Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis

The use of empirical equations for seepage estimation in comparison with observed losses from irrigation canals

Prioritization of surface water distribution in irrigation districts to mitigate crop yield reduction during water scarcity

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