Sponge City Drainage System Prediction Based on Artificial Neural Networks: Taking SCRC System as Example DOI Open Access
Yazheng Ren, Huiying Zhang,

Yongwan Gu

et al.

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2587 - 2587

Published: Sept. 12, 2024

The concept of sponge cities is widely recognized, but there still no research on what a new drainage system for should look like. This study proposes cities, sponge-type comprehensive pipe corridor rainwater chamber (SCRC) system, which combines with low-impact development measures (LIDs) into one system. SCRC predicted by using long- and short-term neural network to verify whether the can be applied prediction flooding in cities. results show that effectively control city flooding, where surface runoff coefficient under different rainfall intensities (P = 1–10 yr) between 0.273 0.44, overload time 0.11 3.929 h, node overflow volume 0 23.89 Mltr. has high reliability flood prediction, coefficients determination R2 test set PSO–LSTM models are all above 0.95. may provide an idea predicting

Language: Английский

Optimization of LID Strategies for Urban CSO Reduction and Cost Efficiency: A Beijing Case Study DOI Open Access
Hao Wang,

Pengfei Zeng,

Zilong Liu

et al.

Water, Journal Year: 2024, Volume and Issue: 16(7), P. 965 - 965

Published: March 27, 2024

Combined sewer overflow (CSO) can lead to serious urban water environment pollution and health risks residents. Low Impact Development (LID) facilities are one of the important measures alleviate CSO have been widely applied. The rational selection LID facility types, locations, scales is most task, which effectively improve resource utilization efficiency. Based on NSGA-II multi-objective optimization algorithm coupled with SWMM network hydraulic model, this study takes combined overflows construction cost as objectives optimizes types layout in area, including eight different return periods. By using Pareto frontier visualizing results effects rainfall periods control investment schemes compared. show following: (1) model demonstrate relationship between volume under through frontier, showing three trends, indicating that nonlinear; (2) increase intensity, higher requirements proposed for meet targets, leading a decrease number solution sets. Under larger intensities, it difficult achieve same effect by increasing scale construction. Therefore, considering constraining RMB 5.3 5.38 million helpful determine suitable solution; (3) optimal periods, 87.3% locations where deployed similar scales. these relatively large proportion deployment, be determined special attention should paid spatial positions planning This provides valuable insights solving problems optimizing drainage management guidance future decision-making processes.

Language: Английский

Citations

5

Assessing Air Pocket Pressure Pulses in Sealed Manholes of Urban Drainage Systems Under Pressurisation Conditions DOI Open Access
Óscar E. Coronado-Hernández,

Javier Mouthon-Bello,

Alfonso Arrieta-Pastrana

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 984 - 984

Published: March 27, 2025

An entrapped air pocket can induce pressure surges in sewer systems. Previous studies on these systems have focused analysing its effects under conditions where is expelled. This research introduces a mathematical model to calculate caused by compression sealed manhole (without an orifice size) that may occur at the output of pumping station. The based rigid water column theory, polytropic law, and continuity equation. proposed validated using 7.3 m long experimental facility equipped with chamber simulating cover. It demonstrated accurately predict peak head 18.9 metres associated oscillations. A sensitivity analysis also performed assess variations behaviour. Furthermore, effectively captures system’s final conditions. Lastly, case study illustrates model’s applicability installation length 250 m.

Language: Английский

Citations

0

Explicit scheme approach for calculating rainwater harvesting: proposed model and practical application DOI
Óscar E. Coronado-Hernández, Alfonso Arrieta-Pastrana, Modesto Pérez‐Sánchez

et al.

Urban Water Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: April 22, 2025

Language: Английский

Citations

0

The Spatio-Temporal Impact of Land Use Changes on Runoff in the Yiluo River Basin Based on the SWAT and PLUS Model DOI Open Access
Na Zhao,

Feilong Gao,

Kun Ma

et al.

Water, Journal Year: 2025, Volume and Issue: 17(10), P. 1516 - 1516

Published: May 17, 2025

As a major tributary of the Yellow River, Yiluo River holds vital importance for regional water resource management and ecological sustainability. In this study, SWAT (version 2012) PLUS models were used in combination to simulate hydrological responses basin analyze how land use changes have influenced runoff dynamics over time. During calibration validation periods, Nash–Sutcliffe efficiency coefficient (NS) determination (R2) model both exceeded 0.8, while Kappa indicated an overall accuracy 0.91, confirming applicability Basin. However, despite strong annual performance, potential monthly or seasonal simulation uncertainties should be acknowledged warrant further analysis. From 2000 2020, areas forest land, water, urban unused Basin increased by 795.15 km2, 29.33 573.67 0.25 respectively, cultivated grassland decreased 814.50 km2 583.89 km2. The spatial distribution average depth generally exhibited pattern “higher upstream lower downstream”. An increase forestland was found suppress generation, whereas expansion promoted production. Implementing water-sensitive strategies—such as expanding cover conserving grasslands—is crucial reducing negative impacts expansion. Such measures can improve regulation, enhance groundwater recharge, support sustainable resources within basin. Assuming climate conditions remain constant, 2025 2030 is expected dominated forestland. Under scenario, projected 0.42% 0.51% compared respectively.

Language: Английский

Citations

0

Urban Waterlogging Simulation and Disaster Risk Analysis Using InfoWorks Integrated Catchment Management: A Case Study from the Yushan Lake Area of Ma’anshan City in China DOI Open Access
Kun Wang, Jian Chen,

Hao Hu

et al.

Water, Journal Year: 2024, Volume and Issue: 16(23), P. 3383 - 3383

Published: Nov. 25, 2024

Under the dual pressures of climate change and urbanization, cities in China are experiencing increasingly severe flooding. Using Yushan Lake area Ma’anshan City, Anhui Province, as a case study, we employed InfoWorks Integrated Catchment Management (ICM) hydraulic model to analyze drainage flood prevention system region assess current infrastructure for control. There 117 pipelines with return period lower than one year stormwater combined sewer systems, accounting 12.3% total number pipelines. The meeting one-year but not three-year standard is 700, representing 70.2%. Only 17.5% capable handling events exceeding standard. In simulating 24 h, 30-year rainfall event, results indicate that floodwater accumulation study predominantly between 0.15 m 0.3 m. Most risk areas classified low risk, covering an 36.398 hectares, followed by medium high-risk areas, which cover 8.226 hectares 3.087 respectively. has, overall, certain control capabilities faces risks during storms periods three years. This research offers valuable insights improving urban management City through development area.

Language: Английский

Citations

2

Sponge City Drainage System Prediction Based on Artificial Neural Networks: Taking SCRC System as Example DOI Open Access
Yazheng Ren, Huiying Zhang,

Yongwan Gu

et al.

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2587 - 2587

Published: Sept. 12, 2024

The concept of sponge cities is widely recognized, but there still no research on what a new drainage system for should look like. This study proposes cities, sponge-type comprehensive pipe corridor rainwater chamber (SCRC) system, which combines with low-impact development measures (LIDs) into one system. SCRC predicted by using long- and short-term neural network to verify whether the can be applied prediction flooding in cities. results show that effectively control city flooding, where surface runoff coefficient under different rainfall intensities (P = 1–10 yr) between 0.273 0.44, overload time 0.11 3.929 h, node overflow volume 0 23.89 Mltr. has high reliability flood prediction, coefficients determination R2 test set PSO–LSTM models are all above 0.95. may provide an idea predicting

Language: Английский

Citations

0