Development and Uncertainty Assessment of Pedotransfer Functions for Predicting Water Contents at Specific Pressure Heads-Reference-Cited by-同舟云学术

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Development and Uncertainty Assessment of Pedotransfer Functions for Predicting Water Contents at Specific Pressure Heads

Published:2019-01 Issue:1 Volume:18 Page:190063
ISSN:1539-1663
Container-title:Vadose Zone Journal
language:en
Short-container-title:Vadose zone j.

Author:

Kotlar Ali Mehmandoost¹,Jong van Lier Quirijn¹,Barros Alexandre Hugo C.²,Iversen Bo V.³,Vereecken Harry⁴

Affiliation:

1. Centre for Nuclear Energy in Agriculture (CENA/USP)Univ. of São PauloCaixa Postal 9613416‐903PiracicabaSPBrazil

2. Brazilian Agricultural Research Corporation (EMBRAPA)51020‐240RecifePEBrazil

3. Dep. of AgroecologyAarhus Univ.Blichers Allé 208830TjeleDenmark

4. Institute of Bio‐ and Geosciences (IBG‐3), AgrosphereForschungszentrum Jülich52425JülichGermany

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2136/vzj2019.06.0063

Reference61 articles.

1. Optimisation of pedotransfer functions using an artificial neural network ensemble method

2. Pedotransfer functions to estimate water retention parameters of soils in northeastern Brazil

3. Pattern Recognition and Machine Learning

4. Pedotransfer functions estimating soil hydraulic properties using different soil parameters

5. Point and parameter pedotransfer functions for water retention predictions for Danish soils

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1. Filling the gaps in soil data: A multi-model framework for addressing data gaps using pedotransfer functions and machine-learning with uncertainty estimates to estimate bulk density;CATENA;2024-10

2. Machine learning applications in vadose zone hydrology: A review;Vadose Zone Journal;2024-06-14

3. Developing novel ensemble models for predicting soil hydraulic properties in China’s arid region;Journal of Hydrology;2024-06

4. Pedotransfer functions and machine learning: Advancements and challenges in tropical soils;Geoderma Regional;2023-12

5. Assessment and development of pedotransfer functions to estimate soil saturated hydraulic conductivity in arid soils with application to GIS mapping in the Al-Ahsa Oasis, Saudi Arabia;Egyptian Journal of Soil Science;2023-12-01

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