Predicting near-saturated hydraulic conductivity in urban soils

[Display omitted] •We built pedotransfer functions for hydraulic conductivity with data from 11 cities.•Models predicted near-saturated hydraulic conductivity (Kn) with moderate accuracy.•Predicted Kn values were mostly the same order-of-magnitude as measured Kn values.•Sand and clay percentages wer...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) 2021-04, Vol.595 (C), p.126051, Article 126051
Hauptverfasser:	Jian, Jinshi, Shiklomanov, Alexey, Shuster, William D., Stewart, Ryan D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural network bulk density clay computer software data collection fluid mechanics hydraulic conductivity Infiltration infiltrometers Meteorology And Climatology Pedotransfer function Random forest sand silt Soil science soil texture Urban hydrology urban soils
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