Knowledge Resource Center for Ecological Environment in Arid Area
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 | |
Yinglan, A.; Wang, Guoqiang; Hu, Peng; Wang, Libo; Xue, Baolin; Shrestha, Sangam | |
通讯作者 | Wang, GQ |
来源期刊 | ENVIRONMENTAL RESEARCH
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ISSN | 0013-9351 |
EISSN | 1096-0953 |
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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