Predicting near-saturated hydraulic conductivity in urban soils-Reference-Cited by-同舟云学术

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Predicting near-saturated hydraulic conductivity in urban soils

Published:2021-04 Issue: Volume:595 Page:126051
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Jian Jinshi,Shiklomanov Alexey,Shuster William D.,Stewart Ryan D.

Funder

Pacific Northwest National Laboratory

National Science Foundation Directorate for Biological Sciences

National Institute of Food and Agriculture

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference78 articles.

1. Determining hydraulic properties of a loam soil by alternative infiltrometer techniques;Alagna;Hydrol. Process.,2016

2. The impact of the age of vines on soil hydraulic conductivity in vineyards in eastern Spain;Alagna;Water,2018

3. The exponential decline in saturated hydraulic conductivity with depth: A novel method for exploring its effect on water flow paths and transit time distribution;Ameli;Hydrol. Process.,2015

4. Relationships between saturated hydraulic conductivity and morphometric data of an argillic Horizon 1;Anderson;Soil Sci. Soc. Am. J.,1973

5. Scaling parameter to predict the soil water characteristic from particle-size distribution data;Arya;Soil Sci. Soc. Am. J.,1999

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1. Urban Ecohydrology: Accounting for Sub‐Grid Lateral Water and Energy Transfers in a Land Surface Model;Water Resources Research;2024-03

2. Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils;PLOS ONE;2024-01-10

3. Construction and evaluation of pedotransfer functions for saturated hydraulic conductivity in the granite red soil regions of southern China;Journal of Hydrology: Regional Studies;2023-12

4. Accounting for the spatial range of soil properties in pedotransfer functions;Geoderma;2023-04

5. Quantifying and assessing the infiltration potential of green infrastructure in urban areas using a layered hydrological model;Journal of Hydrology;2023-03

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