中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Parameters optimization based on the combination of localization and auto-calibration of SWAT model in a small watershed in Chinese Loess Plateau

文献类型:期刊论文

作者Li, Changbin1,2; Qi, Jiaguo1,2; Feng, Zhaodong1,3; Yin, Runsheng2,4; Zou, Songbing5; Zhang, Feng2,6
刊名FRONTIERS OF EARTH SCIENCE
出版日期2010-09-01
卷号4期号:3页码:296-310
关键词SWAT Anjiagou watershed parameter localization auto-calibration flow and sediment assessment
ISSN号2095-0195
DOI10.1007/s11707-010-0114-5
通讯作者Li, Changbin(licb@lzu.edu.cn)
英文摘要This study simulated the watershed flow and sediment responses based on calibration of the SWAT model in the semi-arid Chinese Loess Plateau (LP) where soil erosion intensively occurs. After the model's initiation and manual modification, a 7-year inconsecutively observed flow and sediment data from 1984 to 1990 was used to analyze the model's application in the selected watershed called AJW in the Chinese LP region. The model procedure included sensitivity analysis, parameter calibration and model validation. The best parameter set was finally determined based on the combination of parameter localization and auto-calibration. Then the model was assessed for its accuracy based on the NSE estimation, resulting in 0.77 and 0.67 for calibration and 0.46 and 0.32 for validation on simulations for flow and sediment, respectively, which is a moderately satisfactory accuracy among the applications of the SWAT model. Annual watershed assessment on flow and sediment with the calibrated SWAT model resulted in a multiyear averaged annual runoff coefficient of about 2.7% and an erosion modulus of 797 t/(km(2).a(-1)) in the AJW, indicating a beneficial consequence from the implementation of the historical soil and water conservations.
收录类别SCI
WOS研究方向Geology
WOS类目Geosciences, Multidisciplinary
语种英语
WOS记录号WOS:000208725700006
出版者SPRINGER
URI标识http://www.irgrid.ac.cn/handle/1471x/2556319
专题寒区旱区环境与工程研究所
通讯作者Li, Changbin
作者单位1.Lanzhou Univ, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou 730000, Peoples R China
2.Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA
3.Baylor Univ, Dept Geol, Waco, TX 76798 USA
4.Michigan State Univ, Dept Forestry, E Lansing, MI 48824 USA
5.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
6.Lanzhou Univ, Key Lab Arid & Grassland Agroecol, Minist Educ, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Li, Changbin,Qi, Jiaguo,Feng, Zhaodong,et al. Parameters optimization based on the combination of localization and auto-calibration of SWAT model in a small watershed in Chinese Loess Plateau[J]. FRONTIERS OF EARTH SCIENCE,2010,4(3):296-310.
APA Li, Changbin,Qi, Jiaguo,Feng, Zhaodong,Yin, Runsheng,Zou, Songbing,&Zhang, Feng.(2010).Parameters optimization based on the combination of localization and auto-calibration of SWAT model in a small watershed in Chinese Loess Plateau.FRONTIERS OF EARTH SCIENCE,4(3),296-310.
MLA Li, Changbin,et al."Parameters optimization based on the combination of localization and auto-calibration of SWAT model in a small watershed in Chinese Loess Plateau".FRONTIERS OF EARTH SCIENCE 4.3(2010):296-310.

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来源:寒区旱区环境与工程研究所

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