A Bayesian method for missing rainfall estimation using a conceptual rainfall-runoff model
文献类型：期刊论文
| 作者 | Sun, Siao1 ; Leonhardt, Guenther2,3; Sandoval, Santiago4; Bertrand-Krajewski, Jean-Luc4; Rauch, Wolfgang2
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| 刊名 | HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
 |
| 出版日期 | 2017 |
| 卷号 | 62期号:15页码:2456-2468 |
| 关键词 | Bayesian method conceptual rainfall-runoff model missing rainfall data rainfall estimates uncertainty |
| ISSN号 | 0262-6667 |
| DOI | 10.1080/02626667.2017.1390317 |
| 通讯作者 | Sun, Siao(suns@igsnrr.ac.cn) |
| 英文摘要 | The estimation of missing rainfall data is an important problem for data analysis and modelling studies in hydrology. This paper develops a Bayesian method to address missing rainfall estimation from runoff measurements based on a pre-calibrated conceptual rainfall-runoff model. The Bayesian method assigns posterior probability of rainfall estimates proportional to the likelihood function of measured runoff flows and prior rainfall information, which is presented by uniform distributions in the absence of rainfall data. The likelihood function of measured runoff can be determined via the test of different residual error models in the calibration phase. The application of this method to a French urban catchment indicates that the proposed Bayesian method is able to assess missing rainfall and its uncertainty based only on runoff measurements, which provides an alternative to the reverse model for missing rainfall estimates. |
| WOS关键词 | UNCERTAINTY |
| 资助项目 | COLCIENCIAS (Colombian Institute for the Development of Science and Technology) |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000418482200003 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | COLCIENCIAS (Colombian Institute for the Development of Science and Technology) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/60837]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Sun, Siao |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Key Lab Reg Sustainable Dev Modelling, Beijing, Peoples R China 2.Univ Innsbruck, Unit Environm Engn, Innsbruck, Austria 3.Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, Lulea, Sweden 4.Univ Lyon, INSA Lyon, DEEP, Villeurbanne, France |
| 推荐引用方式 GB/T 7714 | Sun, Siao,Leonhardt, Guenther,Sandoval, Santiago,et al. A Bayesian method for missing rainfall estimation using a conceptual rainfall-runoff model[J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES,2017,62(15):2456-2468. |
| APA | Sun, Siao,Leonhardt, Guenther,Sandoval, Santiago,Bertrand-Krajewski, Jean-Luc,&Rauch, Wolfgang.(2017).A Bayesian method for missing rainfall estimation using a conceptual rainfall-runoff model.HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES,62(15),2456-2468. |
| MLA | Sun, Siao,et al."A Bayesian method for missing rainfall estimation using a conceptual rainfall-runoff model".HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES 62.15(2017):2456-2468. |
入库方式： OAI收割
来源：地理科学与资源研究所
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