Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code DOI Creative Commons
Yuting Ren, Zhiyu Shao, Qi Zhang

и другие.

International Journal of Disaster Risk Science, Год журнала: 2024, Номер 15(5), С. 789 - 802

Опубликована: Окт. 1, 2024

Abstract Urban road networks function as surface passage for floodwater transport during extreme storm events to reduce potential risks in the city. However, precise estimation of these flow rates presents a significant challenge. This difficulty primarily stems from intricate three-dimensional fields at intersections, which traditional one-dimensional models, such Storm Water Management Model (SWMM), fail precisely capture. The two-dimensional and hydraulic models are overly complex computationally intensive thus not particularly efficient. study addresses issues by integrating semiempirical diversion formula into SWMM source code. formula, derived experiments computational fluid dynamics simulations, captures T-shaped intersections. modified SWMM’s performance was evaluated against experimental data, original SWMM, MIKE21, FLUENT models. results indicate that matches precision while significantly reducing time. Compared this achieved Nash-Sutcliffe efficiency 0.9729 root mean square error 0.042, with time reduced 99%. is suitable real-sized urban networks. It provides high-precision tool drainage system computation crucial effective stormwater management.

Язык: Английский

Evaluation and Diagnosis of Water Resources Spatial Equilibrium Under the High‐Quality Development of Water Conservancy DOI Open Access
Tao Dong, Yanqi Wei, Juliang Jin

и другие.

JAWRA Journal of the American Water Resources Association, Год журнала: 2025, Номер 61(2)

Опубликована: Март 19, 2025

ABSTRACT The development philosophy of water resources spatial equilibrium (WRSE) is a crucial aspect China's conservancy strategy. To quantitatively evaluate the WRSE in Chongqing and diagnose obstacle indicators, evaluation diagnostic model was proposed based on coupling coordination degree subtraction set pair potential (SSPP) from both supply demand perspectives. results showed that economically developed regions were suffering scarcity disequilibrium. state excellent to poor city cluster Wuling mountain area southeastern (CSC), Three Gorges Reservoir northeastern (CNC), new proper (NAC), central urban (CAC). indicators CAC, NAC, CNC, CSC, districts, counties diagnosed by an improved method SSPP, which can avoid unreasonable result. at different scales provide more comprehensive reference for management, are consistent with actual conditions Chongqing. Our study insights diagnosis indicators. It also presents be applied other systems, including environmental resource across various scales.

Язык: Английский

Процитировано

0
Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code DOI Creative Commons
Yuting Ren, Zhiyu Shao, Qi Zhang

и другие.

International Journal of Disaster Risk Science, Год журнала: 2024, Номер 15(5), С. 789 - 802

Опубликована: Окт. 1, 2024

Abstract Urban road networks function as surface passage for floodwater transport during extreme storm events to reduce potential risks in the city. However, precise estimation of these flow rates presents a significant challenge. This difficulty primarily stems from intricate three-dimensional fields at intersections, which traditional one-dimensional models, such Storm Water Management Model (SWMM), fail precisely capture. The two-dimensional and hydraulic models are overly complex computationally intensive thus not particularly efficient. study addresses issues by integrating semiempirical diversion formula into SWMM source code. formula, derived experiments computational fluid dynamics simulations, captures T-shaped intersections. modified SWMM’s performance was evaluated against experimental data, original SWMM, MIKE21, FLUENT models. results indicate that matches precision while significantly reducing time. Compared this achieved Nash-Sutcliffe efficiency 0.9729 root mean square error 0.042, with time reduced 99%. is suitable real-sized urban networks. It provides high-precision tool drainage system computation crucial effective stormwater management.

Язык: Английский

Процитировано

0