The real-time control (RTC) of urban drainage systems can make full use of the capabilities
of existing infrastructures to mitigate combined sewer overflow (CSO) and urban flooding …

The computational expensiveness of the hydrodynamic models and the complexity of the
rainfall-runoff transformation process presents a pressing need to shift to machine learning …

The integration of green‐gray infrastructures with advanced control approaches is
revolutionizing the stormwater system retrofitting, emerging as an innovative strategy to …

Physics-based models are computationally time-consuming and infeasible for real-time
scenarios of urban drainage networks, and a surrogate model is needed to accelerate the …

Real-time and model-predictive control promises to make urban drainage systems (UDS)
adaptive, coordinated, and dynamically optimal. Though early implementations are …

Because low-impact development (LID) infrastructures are effective in capturing and utilizing
urban stormwater runoff, real-time control (RTC) strategies can be viewed as soft …

Dynamic control is emerging as an effective methodology for operating stormwater systems
under stress from rapidly evolving weather patterns. Informed by rainfall predictions and real …

An improved image segmentation algorithm with boundary-to-pixel direction and magnitude
(IS-BPDM) is proposed to deal with small regions segmentation while keeping the accuracy …

The impact of urban flooding is increasing due to the effects of increasing urbanization and
climate change. The use of storages is a relatively well-established approach to reduce …

By adopting parameterized and intelligent design theories and relying on the miter gate
project of a ship lock in Jiangsu Province, China, the parameterized intelligent design …