Study on the Factors Affecting the Drainage Efficiency of New Integrated Irrigation and Drainage Networks and Network Optimization Based on Annual Cost System DOI Open Access
Zhiwei Zheng,

Mingrui Li,

Tianzhi Wang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1201 - 1201

Published: April 16, 2025

With the frequent occurrence of extreme weather events worldwide, compound frequency drought and flood has significantly increased, imposing multidimensional pressures on agricultural water resource management. Agricultural consumption accounts for approximately 70%, with severe waste, as a large amount is lost during transmission distribution. Faced increasingly weather, traditional drainage systems may become unsustainable. Identifying factors influencing time crucial efficient drainage. The MIKE URBAN model significant potential in farmland waterlogging simulation network optimization. This study validated model’s accuracy based infiltration well overflow capacity experiments, Average Relative Error (ARE) values 2.29%, 6.52%, 4.41%, 3.17%, 4.37%, 5.69%, demonstrating good accuracy. was used to simulate networks, explore affecting time, establish an annual cost system network, optimize using genetic algorithm objective minimizing costs. Research findings: There clear negative correlation between maximum inflow wells time. As increases, becomes faster, but beyond 0.0075 m3/s (27 m3/h), efficiency gains level off. indicates that selecting at least 20% opening ratio essential. Similarly, increasing collector’s diameter enhances significantly, though effect follows diminishing return pattern. While smaller lateral spacing improves local collection, it lead flow congestion if collector undersized; conversely, larger increases paths delays, even large. An optimal range 100–150 m suggested alongside diameter. Lateral also affects performance: reduces benefit plateaus around 200 mm, making further enlargement cost-ineffective. helped design. Utilizing algorithm, optimized just 15 iterations. fitness function value rapidly decreased from 351,000 CNY 55,000 then stabilized, reducing 59,640.67 45,337.86 CNY—a 24% savings—highlighting approach’s effectiveness designing economical systems. shown simulation-based optimization networks provides more rational cost-effective approach planning infrastructure.

Language: Английский

Reliability Analysis of Water Distribution System using Benchmark Table DOI

Suja S. Nair,

Meyyappan Palaniappan

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Language: Английский

Citations

0
Ageing Underground Water Pipelines: Time-to-Failure Models, Gaps and Future Directions DOI Creative Commons
Beenish Bakhtawar, Tarek Zayed, Ibrahim Abdelfadeel Shaban

et al.

Water Research X, Journal Year: 2025, Volume and Issue: unknown, P. 100331 - 100331

Published: March 1, 2025

Language: Английский

Citations

0
Study on the Factors Affecting the Drainage Efficiency of New Integrated Irrigation and Drainage Networks and Network Optimization Based on Annual Cost System DOI Open Access
Zhiwei Zheng,

Mingrui Li,

Tianzhi Wang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1201 - 1201

Published: April 16, 2025

With the frequent occurrence of extreme weather events worldwide, compound frequency drought and flood has significantly increased, imposing multidimensional pressures on agricultural water resource management. Agricultural consumption accounts for approximately 70%, with severe waste, as a large amount is lost during transmission distribution. Faced increasingly weather, traditional drainage systems may become unsustainable. Identifying factors influencing time crucial efficient drainage. The MIKE URBAN model significant potential in farmland waterlogging simulation network optimization. This study validated model’s accuracy based infiltration well overflow capacity experiments, Average Relative Error (ARE) values 2.29%, 6.52%, 4.41%, 3.17%, 4.37%, 5.69%, demonstrating good accuracy. was used to simulate networks, explore affecting time, establish an annual cost system network, optimize using genetic algorithm objective minimizing costs. Research findings: There clear negative correlation between maximum inflow wells time. As increases, becomes faster, but beyond 0.0075 m3/s (27 m3/h), efficiency gains level off. indicates that selecting at least 20% opening ratio essential. Similarly, increasing collector’s diameter enhances significantly, though effect follows diminishing return pattern. While smaller lateral spacing improves local collection, it lead flow congestion if collector undersized; conversely, larger increases paths delays, even large. An optimal range 100–150 m suggested alongside diameter. Lateral also affects performance: reduces benefit plateaus around 200 mm, making further enlargement cost-ineffective. helped design. Utilizing algorithm, optimized just 15 iterations. fitness function value rapidly decreased from 351,000 CNY 55,000 then stabilized, reducing 59,640.67 45,337.86 CNY—a 24% savings—highlighting approach’s effectiveness designing economical systems. shown simulation-based optimization networks provides more rational cost-effective approach planning infrastructure.

Language: Английский

Citations

0