Arid
DOI10.1016/j.envres.2022.112765
Modification and upscaling of S-W model based on vertical distributions of soil moisture and vegetation root biomass
Yinglan, A.; Wang, Guoqiang; Hu, Peng; Wang, Libo; Xue, Baolin; Shrestha, Sangam
通讯作者Wang, GQ
来源期刊ENVIRONMENTAL RESEARCH
ISSN0013-9351
EISSN1096-0953
出版年2022
卷号208
英文摘要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-Theta model. To up-scale application and to verify the accuracy of the S-W-Theta model under watershed water balance, we replaced the ET simulation module based on the S-W model with our S-W-Theta 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-Theta 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.
英文关键词Evapotranspiration Soil moisture S-W model Modification Scale expansion
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000797301500005
WOS关键词BTOPMC MODEL ; RIVER-BASIN ; FROZEN SOIL ; EVAPOTRANSPIRATION ; WATER ; CARBON ; RUNOFF ; CHINA
WOS类目Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/392494
推荐引用方式
GB/T 7714
Yinglan, A.,Wang, Guoqiang,Hu, Peng,et al. Modification and upscaling of S-W model based on vertical distributions of soil moisture and vegetation root biomass[J],2022,208.
APA Yinglan, A.,Wang, Guoqiang,Hu, Peng,Wang, Libo,Xue, Baolin,&Shrestha, Sangam.(2022).Modification and upscaling of S-W model based on vertical distributions of soil moisture and vegetation root biomass.ENVIRONMENTAL RESEARCH,208.
MLA Yinglan, A.,et al."Modification and upscaling of S-W model based on vertical distributions of soil moisture and vegetation root biomass".ENVIRONMENTAL RESEARCH 208(2022).
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