Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Code and Data: Development of a New Pedotransfer Function Addressing Limitations in Soil Hydraulic Models and Observations
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 110.5 MB | |
| Created: | Mar 14, 2022 at 3:26 a.m. | |
| Last updated: | Nov 28, 2023 at 12:47 a.m. (Metadata update) | |
| Published date: | May 19, 2022 at 8:27 a.m. | |
| DOI: | 10.4211/hs.2e1d064c765744db9d4b7855671e641d | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 1444 |
| Downloads: | 120 |
| +1 Votes: | Be the first one to this. |
| Comments: | 1 comment |
Abstract
The attached files include all the data and code applied in the paper
Notion: hr in the soil hydraulic model should be -1.0e4 cm, which was written mistakenly as -1.0e3 cm in Wang et al. (2022)
Wang, Y., Zhou, J., Ma, R., Zhu, G., & Zhang, Y. (2022). Development of a New Pedotransfer Function Addressing Limitations in Soil Hydraulic Models and Observations.
Water Resources Research, 58, e2021WR031406. https://doi.org/10.1029/2021WR031406
The developed pedotranfer function codes for predicting soil hydraulic properties of the FXW and FXW-M1 model from soil texture information are provided in the form of Matlab, Python and R. Please refer to
PTFs_FXW_Matlab.zip and PTF_FXW&SL_Python&R.zip for detail.
The code for improving the predictions of SHPs with the existing PTFs/ or only measurements in high water potential range is provided in code_for_FXW_SHP_EXT.zip.
The readme.txt was included in each zip file.
Subject Keywords
Content
readme.txt
1. PTF_FXWSL_PythonR.rar file includes the PTFs developed for predicting the parameters of the FXW-M1 model and the SL of eqaution (12)
in Wang et al. (2022) WRR paper
-to run the model
(1) just provide the soil texture information ((Sand*100%, Silt*100%, Clay*100%,/BD*g/cm^3)) in the 'soil_texture. xlsx' file
(2) run FXpredict.py/FXpredict.R to get the parameters of the FXW-M1 model
run SLpredict.py /SLpredict.R to obtain the value of SL
(3) The output is shown in 'FXWJD_Parameter.xlsx'/'slope.xlsx'.
2. PTFs_FXW_Matlab.rar file includes the PTFs developed for predicting the parameters of the FXW model
-to run the model
(1) Provide the soil texture information (sand,silt,clay,bd (model H3)/sand,silt,clay (model H2)) in "Tex.txt" file
(2) run FXW_PTF.m file
you can change the index 'i_FXW;i_EXT,i_H' to chose different PTF in the matfile
(3) The ouptput is in "Par_PTF.mat"
3. code_for_FXW_SHP_EXT.rar file includes the method for extending exisiting PTFs to dry range
-to run the model
(1) Preparing the input: -- Providing the soil texture inforamtion in "Tex.txt" file
--if the input is the parameters of the VGM model, providing them in the "Par_VG.txt" file;
--if the mearsurments of water retetntion and hydarulic conductivity are availiable, providing
the meansurements in "SWRC.txt" and "HCC.txt" files
(2) run FXW_SHP_EXT.m file
you can change the index "i_PTF" in the matfile
(3) Output is in Par_FXW.mat [alpha,n,m,ths,Ks,l]
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Natural Science Foundation of China | Nos. 42071045, 41722208 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
Yunquan Wang 1 year, 4 months ago
Notion: hr in the soil hydraulic model should be -1.0e4 cm, which was written mistakenly as -1.0e3 cm in Wang et al. (2022). We are seeking a correction to this error in the article.
ReplyNew Comment