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Title: Assessing the Performance of a Physically-Based Soil Moisture Module Integrated within the Soil and Water Assessment Tool

Abstract

A Richards equation-based soil moisture module was developed and integrated within the Soil and Water Assessment Tool (SWAT). Four years of daily soil moisture measurements from 10 monitoring stations at three depths (i.e., 5, 10, and 50 cm) in the Choptank River watershed, Maryland, were used to test the module performance. Results show that, as compared with the original SWAT soil moisture module, the Richards-equation-based soil moisture module improved R2 from 0.12 to 0.45 and reduced soil moisture simulation bias from -0.10 to -0.02, averaged across the 10 stations at soil surface layer (i.e., 5 cm depth). Noticeable improvements were also observed for deeper soil layers, and for both dry and wet periods. Notably, the soil moisture coupling strength between different soil layers was substantially improved with the new module. The enhanced SWAT model is expected to better inform soil water and irrigation management.

Authors:
; ; ; ; ORCiD logo; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1495019
Report Number(s):
PNNL-SA-134989
Journal ID: ISSN 1364-8152
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Environmental Modelling and Software
Additional Journal Information:
Journal Volume: 109; Journal Issue: C; Journal ID: ISSN 1364-8152
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
land surface processes, soil water, modelling

Citation Formats

Qi, Junyu, Zhang, Xuesong, McCarty, Gregory W., Sadeghi, Ali M., Cosh, Michael H., Zeng, Xubin, Gao, Feng, Daughtry, Craig S. T., Huang, Chengquan, Lang, Megan W., and Arnold, Jeffrey G. Assessing the Performance of a Physically-Based Soil Moisture Module Integrated within the Soil and Water Assessment Tool. United States: N. p., 2018. Web. doi:10.1016/j.envsoft.2018.08.024.
Qi, Junyu, Zhang, Xuesong, McCarty, Gregory W., Sadeghi, Ali M., Cosh, Michael H., Zeng, Xubin, Gao, Feng, Daughtry, Craig S. T., Huang, Chengquan, Lang, Megan W., & Arnold, Jeffrey G. Assessing the Performance of a Physically-Based Soil Moisture Module Integrated within the Soil and Water Assessment Tool. United States. doi:10.1016/j.envsoft.2018.08.024.
Qi, Junyu, Zhang, Xuesong, McCarty, Gregory W., Sadeghi, Ali M., Cosh, Michael H., Zeng, Xubin, Gao, Feng, Daughtry, Craig S. T., Huang, Chengquan, Lang, Megan W., and Arnold, Jeffrey G. Thu . "Assessing the Performance of a Physically-Based Soil Moisture Module Integrated within the Soil and Water Assessment Tool". United States. doi:10.1016/j.envsoft.2018.08.024.
@article{osti_1495019,
title = {Assessing the Performance of a Physically-Based Soil Moisture Module Integrated within the Soil and Water Assessment Tool},
author = {Qi, Junyu and Zhang, Xuesong and McCarty, Gregory W. and Sadeghi, Ali M. and Cosh, Michael H. and Zeng, Xubin and Gao, Feng and Daughtry, Craig S. T. and Huang, Chengquan and Lang, Megan W. and Arnold, Jeffrey G.},
abstractNote = {A Richards equation-based soil moisture module was developed and integrated within the Soil and Water Assessment Tool (SWAT). Four years of daily soil moisture measurements from 10 monitoring stations at three depths (i.e., 5, 10, and 50 cm) in the Choptank River watershed, Maryland, were used to test the module performance. Results show that, as compared with the original SWAT soil moisture module, the Richards-equation-based soil moisture module improved R2 from 0.12 to 0.45 and reduced soil moisture simulation bias from -0.10 to -0.02, averaged across the 10 stations at soil surface layer (i.e., 5 cm depth). Noticeable improvements were also observed for deeper soil layers, and for both dry and wet periods. Notably, the soil moisture coupling strength between different soil layers was substantially improved with the new module. The enhanced SWAT model is expected to better inform soil water and irrigation management.},
doi = {10.1016/j.envsoft.2018.08.024},
journal = {Environmental Modelling and Software},
issn = {1364-8152},
number = C,
volume = 109,
place = {United States},
year = {2018},
month = {11}
}