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The longest storm sewer pipe length (LPL) and the storm sewer pipe network density (PND) are the two key parameters that control the cooling effect of the underground sewer system; sensitivity analysis showed LPL increase from 345 to 966 m, resulted in runoff temperature drop by 2.5 °C.
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In our schematic stormwater sewer system a pipe network with storage capacity transfers water to the pumping station, and the pumping station discharges the incoming flow to a water body at higher level thanks to the interplay of a number of pumping units.
By coupling the models, it is possible to observe the interaction between the sewer system overflow discharge and the hydraulic head in the pipe network.
Subsequent levels of sensitivity corresponded to the longest sewer pipe length (LPL), maximum rainfall intensity (MI), percent impervious cover (IMP), rainfall depth (R), initial asphalt temperature (AspT), pipe network density (PND), and rainfall duration (D), respectively.
This study presents adaptive neuro-fuzzy inference system (ANFIS), which is a combination of neural network and fuzzy logic, as an alternative approach to predict the functional relationships of sediment transport in sewer pipe systems.
The essential work of sewer rehabilitation is a sewer inspection through diagnoses of sewer pipe defects.
A broken sewer pipe under the building has been fixed.
Enter a hole in the mountain resembling a sewer pipe.
The sewer pipe had broken in the dining room wall.
(There is a sewer pipe 10ft from the surface).
The sound of a rock skittering down the side of a sewer pipe becomes sensuous.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com