Model-Driven Sewage System Design and Intelligent Management of the Wuhan East Lake Deep Tunnel Drainage Project

Rapid urbanization in China has overwhelmed traditional drainage systems, resulting in frequent flooding and water pollution in densely populated urban areas. This study focuses on the East Lake core area of Wuhan, proposing a deep tunnel drainage system to improve sewage storage and conveyance capacity. A pilot-scale pipe model was employed to determine the critical non-silting velocity for full-pipe sewage flow. Based on projected dry-season inflows and intercepted combined sewer discharges, the design capacities for pumping stations and pretreatment facilities were defined. A three-dimensional gas–liquid two-phase numerical model was used to simulate inflow shaft hydraulics at Erlangmiao, Luobuzui, and Wudong pretreatment stations. Simulation results confirm that all shafts meet energy dissipation and ventilation requirements, with uniform flow and velocity distributions that could be obtained by a vortex-type shaft. The system not only mitigates regional environmental challenges but also shows significant social, environmental, and economic benefits. Overall project design, applied methodology, simulation study, and outcomes could provide a valuable reference to deep tunnel drainage design and research.

Authors

Institutions

Publication Details

Journal
Water
Published
2025-10-29
DOI
https://doi.org/10.3390/w17213091
Citations
1
Primary Topic
Hydraulic flow and structures
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model-Driven Sewage System Design and Intelligent Management of the Wuhan East Lake Deep Tunnel Drainage Project

Dongchan Jin, Xianming Wu, Tao Wang
1 citations
Water
Hydraulic flow and structures
0.95
article

Model-Driven Sewage System Design and Intelligent Management of the Wuhan East Lake Deep Tunnel Drainage Project

Dongchan Jin, Xianming Wu, Tao Wang
article en
1 citations

Abstract

Rapid urbanization in China has overwhelmed traditional drainage systems, resulting in frequent flooding and water pollution in densely populated urban areas. This study focuses on the East Lake core area of Wuhan, proposing a deep tunnel drainage system to improve sewage storage and conveyance capacity. A pilot-scale pipe model was employed to determine the critical non-silting velocity for full-pipe sewage flow. Based on projected dry-season inflows and intercepted combined sewer discharges, the design capacities for pumping stations and pretreatment facilities were defined. A three-dimensional gas–liquid two-phase numerical model was used to simulate inflow shaft hydraulics at Erlangmiao, Luobuzui, and Wudong pretreatment stations. Simulation results confirm that all shafts meet energy dissipation and ventilation requirements, with uniform flow and velocity distributions that could be obtained by a vortex-type shaft. The system not only mitigates regional environmental challenges but also shows significant social, environmental, and economic benefits. Overall project design, applied methodology, simulation study, and outcomes could provide a valuable reference to deep tunnel drainage design and research.

WaterVol. 17(21)
Wuhan University (CN), Wuhan Donghu University (CN), China State Construction Engineering (China) (CN)
Openalex Percentile: Top 20%
Hydraulic flow and structures
0.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Model-Driven Sewage System Design and Intelligent Management of the Wuhan East Lake Deep Tunnel Drainage Project — Dongchan Jin, Xianming Wu, et al. · Water (2025) | TGRS Research Map | TGRS