A review of graph and complex network theory in water distribution networks: Mathematical foundation, application and prospects
Graph theory (GT) and complex network theory play an increasingly important role in the
design, operation, and management of water distribution networks (WDNs) and these tasks …
design, operation, and management of water distribution networks (WDNs) and these tasks …
Forward-looking roadmaps for long-term continuous water quality monitoring: bottlenecks, innovations, and prospects in a critical review
Long-term continuous monitoring (LTCM) of water quality can bring far-reaching influences
on water ecosystems by providing spatiotemporal data sets of diverse parameters and …
on water ecosystems by providing spatiotemporal data sets of diverse parameters and …
Advancements in digital twin modeling for underground spaces and lightweight geometric modeling technologies
H Gong, D Su, S Zeng, X Chen - Automation in Construction, 2024 - Elsevier
The construction of a twin model with high fidelity, real-time mapping and scalability is the
foundation for realizing digital twin in underground space. Given the large size and …
foundation for realizing digital twin in underground space. Given the large size and …
Bridging hydraulics and graph signal processing: A new perspective to estimate water distribution network pressures
The low spatial density of monitored nodal pressures (nodal heads) has already become a
bottleneck restricting the development of smart technologies for water distribution networks …
bottleneck restricting the development of smart technologies for water distribution networks …
Uncertainty quantification of multi-scale resilience in networked systems with nonlinear dynamics using arbitrary polynomial chaos
Complex systems derive sophisticated behavioral dynamics by connecting individual
component dynamics via a complex network. The resilience of complex systems is a critical …
component dynamics via a complex network. The resilience of complex systems is a critical …
Electrospraying Zwitterionic Copolymers as an Effective Biofouling Control for Accurate and Continuous Monitoring of Wastewater Dynamics in a Real-Time and Long …
Long-term continuous monitoring (LTCM) of water quality can provide high-fidelity datasets
essential for executing swift control and enhancing system efficiency. One roadblock for …
essential for executing swift control and enhancing system efficiency. One roadblock for …
Reconstructing nodal pressures in water distribution systems with graph neural networks
Knowing the pressure at all times in each node of a water distribution system (WDS)
facilitates safe and efficient operation. Yet, complete measurement data cannot be collected …
facilitates safe and efficient operation. Yet, complete measurement data cannot be collected …
Robust adaptive generalized correntropy-based smoothed graph signal recovery with a kernel width learning
This paper proposes a robust adaptive algorithm for smooth graph signal recovery which is
based on generalized correntropy. A proper cost function is defined, which takes the …
based on generalized correntropy. A proper cost function is defined, which takes the …
A novel approach based on graph signal processing and sampling theory to set pressure sensors in water distribution networks
Optimizing the arrangement of pressure sensors in water distribution networks (WDNs) is
crucial for system efficiency, enabling accurate monitoring and effective control, especially in …
crucial for system efficiency, enabling accurate monitoring and effective control, especially in …
Quantifying mixing in sewer networks for source localization
There has been a recent increase of interest in sewer network water quality, both for
pollutants and wastewater epidemiology. Of particular interest is the ability to perform cost …
pollutants and wastewater epidemiology. Of particular interest is the ability to perform cost …