Publications by authors named "Yangjun Zhou"

Article Synopsis
  • Urban sewer detection is crucial for effectively channeling sewage to treatment plants before discharge, but a reliable method for this process is still needed.
  • This study proposes a new data-driven method using distributed temperature sensing (DTS) combined with wavelet-based noise reduction to enhance sewer detection accuracy.
  • A key finding shows that establishing a DTS noise threshold of 0.25 °C can effectively identify problem areas in sewers, revealing issues like groundwater infiltration and clean water inflow due to variable factors such as rainfall and sewage flow changes.
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