A comparison of simple and complex versions of the Xinanjiang hydrological model in predicting runoff in ungauged basins
文献类型：期刊论文
| 作者 | Bai, Peng; Liu, Xiaomang; Liang, Kang; Liu, Xiaojie; Liu, Changming |
| 刊名 | HYDROLOGY RESEARCH
 |
| 出版日期 | 2017-10-01 |
| 卷号 | 48期号:5页码:1282-1295 |
| 关键词 | hydrological modeling model parsimony regionalization ungauged basin Xinanjiang model |
| ISSN号 | 1998-9563 |
| DOI | 10.2166/nh.2016.094 |
| 通讯作者 | Liu, Xiaomang(liaoxfxm@163.com) |
| 英文摘要 | There are different views on the selection of hydrological model structural complexity for streamflow prediction in ungauged basins. Some studies suggest that complex models are better than simple models due to the former's prediction capability; whereas some studies favor parsimonious model structures to overcome a risk of over-parameterization. The Xinanjiang (XAJ) model, the most widely used hydrological model in China, has two different versions, as follows: (1) the simple version with seven parameters (XAJ7) and (2) the complex version with 14 parameters (XAJ14). In this study, the two versions of the XAJ model were comprehensively evaluated for streamflow prediction in ungauged basins based on their efficiency, parameter identifiability, and independence. The results showed that the complex XAJ14 model was more flexible than the simple XAJ7 in calibration mode; while the two models have similar performance in validation and regionalization modes. Lack of parameter identifiability and the presence of parameter interdependence most likely explain why the complex XAJ14 cannot consistently outperform the XAJ7 in different modes. Therefore, the simple XAJ7 is a better choice than XAJ14 for streamflow prediction in ungauged basins. |
| WOS关键词 | PARAMETER-ESTIMATION ; FLOW SIMULATION ; LARGE-AREA ; PART 1 ; CATCHMENTS ; PERFORMANCE ; CALIBRATION ; UNCERTAINTY ; STREAMFLOW ; BALANCE |
| 资助项目 | Natural Science Foundation of China[41201034] ; Natural Science Foundation of China[41330529] ; program for 'Bingwei' Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS[2013RC202] ; Chinese Academy of Sciences Visiting Professorship for Senior International Sciences[2013T2Z0014] ; Natural Sciences Foundation of Jiangsu Province[BK20141059] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000412412500009 |
| 出版者 | IWA PUBLISHING |
| 资助机构 | Natural Science Foundation of China ; program for 'Bingwei' Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS ; Chinese Academy of Sciences Visiting Professorship for Senior International Sciences ; Natural Sciences Foundation of Jiangsu Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/62361]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Xiaomang |
| 作者单位 | Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bai, Peng,Liu, Xiaomang,Liang, Kang,et al. A comparison of simple and complex versions of the Xinanjiang hydrological model in predicting runoff in ungauged basins[J]. HYDROLOGY RESEARCH,2017,48(5):1282-1295. |
| APA | Bai, Peng,Liu, Xiaomang,Liang, Kang,Liu, Xiaojie,&Liu, Changming.(2017).A comparison of simple and complex versions of the Xinanjiang hydrological model in predicting runoff in ungauged basins.HYDROLOGY RESEARCH,48(5),1282-1295. |
| MLA | Bai, Peng,et al."A comparison of simple and complex versions of the Xinanjiang hydrological model in predicting runoff in ungauged basins".HYDROLOGY RESEARCH 48.5(2017):1282-1295. |
入库方式： OAI收割
来源：地理科学与资源研究所
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