Impact of Different Water Supply Modes on the Hydraulic Reliability of Large-Scale Irrigation Pipeline Network DOI Creative Commons

Songmei Zai,

Mingju Nie,

Feng Wu

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(5), С. 2716 - 2716

Опубликована: Март 3, 2025

This study investigates the impact of various water supply modes on hydraulic reliability large-scale irrigation networks. An EPANET model was developed to simulate performance network under three modes: segmented, uniform, and random supply. Three key indicators were selected evaluate pipeline each mode: Water Supply Uniformity Cu, Pressure Reliability Hk, Velocity v. These parameters standardized using min-max normalization method, resulting scores scaled a unified range 0–5, where higher values indicate greater system reliability. The results demonstrate that effectively simulates Specifically, segmented mode, for uniformity, node pressure head, flow velocity are 4.04, 0.84, 0.64, respectively. Under this significant deviations head fluctuations occur between branches, with velocities typically exceeding optimal range. Furthermore, at branch inlets fails meet required minimum (Hmin), indicating potential operational inefficiencies. In uniform highest observed uniformity (4.76) rate (4.49), (0.94) slightly surpassing mode. significantly reduced, generally aligning economic rates pipeline. However, despite these improvements, many nodes still fail limitations in meeting demand peak conditions. reaches its value (1.54), while reliabilities 3.99 2.50, Flow comparable those Notably, proportion requirement compared Overall, is mode (2.83), followed by (2.49), exhibiting lowest (1.79). findings provide valuable insights selection assessment systems.

Язык: Английский

Research on Valve Optimization and Control Technology for Water Hammer Protection in Long-Distance Pressurized Water Conveyance Systems DOI Creative Commons

Yiming Hu,

Shen Dong,

Mou Lv

и другие.

E3S Web of Conferences, Год журнала: 2025, Номер 618, С. 03005 - 03005

Опубликована: Янв. 1, 2025

In long-distance water transfer projects, changes in operating conditions or accidental power failures can cause the flow regime inside pipeline, triggering hammer phenomena. This results instantaneous pressure overload system, which damage conveyance pipelines and associated structures, impacting safety of transmission. To effectively reduce maximum generated during pump station shutdown operations, this study first uses HAMMER software for hydraulic modeling system. Hydraulic simulations are conducted various operational conditions, including normal system operation sudden scenarios, to calculate other parameters, analyze feasible effective control measures. Next, by analyzing processing 200 sets data under different valve investigates variation patterns conditions. A data-driven neural network-based simulation model is developed quantitatively impact parameters such as quick-closing time quick- closing angle on system's pressure. With goal controlling pressure, a regulation based closure strategy optimization established. solved using intelligent algorithms propose optimal scheme Case studies show that network- accurately simulates Furthermore, Bat Algorithm (BA) optimizes strategy, significantly reducing operations. approach controls destructive greatly enhances pressurized transfer.

Язык: Английский

Процитировано

0

Impact of Different Water Supply Modes on the Hydraulic Reliability of Large-Scale Irrigation Pipeline Network DOI Creative Commons

Songmei Zai,

Mingju Nie,

Feng Wu

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(5), С. 2716 - 2716

Опубликована: Март 3, 2025

This study investigates the impact of various water supply modes on hydraulic reliability large-scale irrigation networks. An EPANET model was developed to simulate performance network under three modes: segmented, uniform, and random supply. Three key indicators were selected evaluate pipeline each mode: Water Supply Uniformity Cu, Pressure Reliability Hk, Velocity v. These parameters standardized using min-max normalization method, resulting scores scaled a unified range 0–5, where higher values indicate greater system reliability. The results demonstrate that effectively simulates Specifically, segmented mode, for uniformity, node pressure head, flow velocity are 4.04, 0.84, 0.64, respectively. Under this significant deviations head fluctuations occur between branches, with velocities typically exceeding optimal range. Furthermore, at branch inlets fails meet required minimum (Hmin), indicating potential operational inefficiencies. In uniform highest observed uniformity (4.76) rate (4.49), (0.94) slightly surpassing mode. significantly reduced, generally aligning economic rates pipeline. However, despite these improvements, many nodes still fail limitations in meeting demand peak conditions. reaches its value (1.54), while reliabilities 3.99 2.50, Flow comparable those Notably, proportion requirement compared Overall, is mode (2.83), followed by (2.49), exhibiting lowest (1.79). findings provide valuable insights selection assessment systems.

Язык: Английский

Процитировано

0