IGSNRR OpenIR
Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening
Bai, Peng1; Liu, Xiaomang1; Zhang, Yongqiang2; Liu, Changming1
2018-12-01
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume643Pages:610-622
Corresponding AuthorLiu, Xiaomang(liuxm@igsnrr.ac.cn)
AbstractNumerous hydrological models calculate actual evaporation as a function of potential evaporation (PET) and soil moisture stress. There are some limitations for such empirical equations since they do not consider vegetation changes, and therefore cannot account for the different responses of soil evaporation and plant transpiration to changes in environmental factors and cannot be used for evaluating the impacts of vegetation changes. Here, we investigated whether incorporating a physically based evaporation scheme into a grid-based hydrological model can improve the accuracy of hydrological simulations. The original and modified hydrological models were evaluated in a basin which has experienced rapid vegetation greening. The model evaluations were performed using streamflow observations, soil moisture observations and water balance-based evaporation estimates. Results indicated that the modified model can provide better evaporation simulations than the original model during the period of vegetation greening. The streamflow and soil moisture simulations by the modified model over the same period benefitted significantly from the improvement in evaporation simulations and exhibited better consistency with in situ observations than the original model. This study underscores the importance of including vegetation change information in evaporation estimates and demonstrated that the physically based evaporation equation can be used in hydrological models to improve the hydrological simulations under vegetation greening conditions. (c) 2018 Elsevier B.V. All rights reserved.
KeywordHydrological model Evaporation estimates Vegetation dynamics Penman-Monteith
DOI10.1016/j.scitotenv.2018.06.233
WOS KeywordGLOBAL TERRESTRIAL EVAPOTRANSPIRATION ; RAINFALL-RUNOFF MODELS ; PARAMETER-ESTIMATION ; SOIL EVAPORATION ; GRACE SATELLITES ; PAN EVAPORATION ; WATER ; CHINA ; CLIMATE ; TRANSPIRATION
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation of China[41330529] ; Natural Science Foundation of China[41601034] ; Natural Science Foundation of China[41571024]
Funding OrganizationNatural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000444625900057
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52932
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Xiaomang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.CSIRO Land & Water, GPO Box 1700, Canberra, ACT 2601, Australia
Recommended Citation
GB/T 7714
Bai, Peng,Liu, Xiaomang,Zhang, Yongqiang,et al. Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2018,643:610-622.
APA Bai, Peng,Liu, Xiaomang,Zhang, Yongqiang,&Liu, Changming.(2018).Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening.SCIENCE OF THE TOTAL ENVIRONMENT,643,610-622.
MLA Bai, Peng,et al."Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening".SCIENCE OF THE TOTAL ENVIRONMENT 643(2018):610-622.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bai, Peng]'s Articles
[Liu, Xiaomang]'s Articles
[Zhang, Yongqiang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bai, Peng]'s Articles
[Liu, Xiaomang]'s Articles
[Zhang, Yongqiang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bai, Peng]'s Articles
[Liu, Xiaomang]'s Articles
[Zhang, Yongqiang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.