Bin Shi

Regional identification of groundwater-induced land subsidence using integrated surface and subsurface observations

Groundwater-induced land subsidence is one of the most widespread geohazards associated with excessive groundwater exploitation, characterized by broad spatial extent and significant socio-economic impacts. However, conventional point-based monitoring techniques are unable to characterize the regional distribution of g...

Investigating micro-leakage detection in urban water supply pipelines using water-sensitive distributed temperature sensing

Uncovering hidden industrial wastewater discharges in urban rivers via deep learning-enhanced fiber-optic distributed acoustic sensing.

Illicit wastewater discharges from concealed outfalls threaten urban river ecosystems, often evading conventional monitoring. This study introduces an intelligent framework that integrates distributed acoustic sensing (DAS) with a Residual Network (ResNet) deep learning model to overcome this challenge. By deploying a...