Modification and upscaling of S-W model based on vertical distributions of soil moisture and vegetation root biomass

Yinglan A; Guoqiang Wang; Peng Hu; Libo Wang; Baolin Xue; Sangam Shrestha

doi:10.1016/j.envres.2022.112765

Modification and upscaling of S-W model based on vertical distributions of soil moisture and vegetation root biomass

Environ Res. 2022 May 15:208:112765. doi: 10.1016/j.envres.2022.112765. Epub 2022 Jan 22.

Authors

Yinglan A¹, Guoqiang Wang², Peng Hu³, Libo Wang⁴, Baolin Xue⁴, Sangam Shrestha⁵

Affiliations

¹ State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
² Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China. Electronic address: wanggq@bnu.edu.cn.
³ State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
⁴ Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
⁵ Water Engineering and Management, Asian Institute of Technology, Pathum Thani, 12120, Thailand.

PMID: 35074355
DOI: 10.1016/j.envres.2022.112765

Abstract

Soil water is the dominant factor controlling evapotranspiration (ET) in arid and semi-arid regions. However, the widely used ET simulation models, such as the Shuttleworth-Wallace model (S-W model), are insufficient in simulating the direct influence of soil moisture (SM), especially in the root zone. Based on SM and ET field data, we found that the influence of SM on ET increased with soil depth in the grassland. Evaporation in the S-W model was optimized by SM at 0-5 cm as the root mean square error (RMSE) decreased from 1.4 to 0.17, while transpiration was optimized by SM at 10-20 cm as the RMSE decreased from 0.26 to 0.07. The modified S-W model incorporating SM was called the S-W-ϴ model. To up-scale application and to verify the accuracy of the S-W-ϴ model under watershed water balance, we replaced the ET simulation module based on the S-W model with our S-W-ϴ model and the Block-wise TOPMODEL with Muskingum-Cunge routing method (BTOPMC) model that we used as the basis of our simulation. The influence of SM was determined by the proportion of root biomass of different vegetation types at different depths, and each depth interval was assigned a weighting reflecting its degree of influence. The results showed that the S-W-ϴ model improved accuracy with all the modification schemes tested. The modification scheme determined by the vegetation root distribution pattern had the greatest effect, providing a 4% accuracy improvement. The modified ET and hydrological models have the potential to support water basin management to a greater extent.

Keywords: Evapotranspiration; Modification; Scale expansion; Soil moisture; S–W model.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biomass
Hydrology
Soil*
Water*

Substances

Soil
Water