A knowledge-based method for the automatic determination of hydrological model structures
文献类型：期刊论文
| 作者 | Jiang, Jingchao4; Zhu, A-Xing2; Qin, Cheng-Zhi3; Liu, Junzhi1 |
| 刊名 | JOURNAL OF HYDROINFORMATICS
 |
| 出版日期 | 2019-11-01 |
| 卷号 | 21期号:6页码:1163-1178 |
| 关键词 | hydrological modelling integrated modelling frameworks knowledge-based method modelling knowledge |
| ISSN号 | 1464-7141 |
| DOI | 10.2166/hydro.2019.029 |
| 通讯作者 | Qin, Cheng-Zhi(qincz@lreis.ac.cn) |
| 英文摘要 | To determine a suitable hydrological model structure for a specific application context using integrated modelling frameworks, modellers usually need to manually select the required hydrological processes, identify the appropriate algorithm for each process, and couple the algorithms' software components. However, these modelling steps are difficult and require corresponding knowledge. It is not easy for modellers to master all of the required knowledge. To alleviate this problem, a knowledge-based method is proposed to automatically determine hydrological model structures. First, modelling knowledge for process selection, algorithm identification, and component coupling is formalized in the formats of the Rule Markup Language (RuleML) and Resource Description Framework (RDF). Second, the formalized knowledge is applied to an inference engine to determine model structures. The method is applied to three hypothetical experiments and a real experiment. These experiments show how the knowledge-based method could support modellers in determining suitable model structures. The proposed method has the potential to reduce the knowledge burden on modellers and would be conducive to the promotion of integrated modelling frameworks. |
| WOS关键词 | ENVIRONMENTAL-MODELS ; MANAGEMENT-SYSTEM ; WATER ; FRAMEWORK ; RAINFALL ; DESIGN ; CLASSIFICATION ; INTERFACE ; METADATA |
| 资助项目 | National Natural Science Foundation of China[41601423] ; National Natural Science Foundation of China[41601413] ; National Natural Science Foundation of China[41431177] ; Innovation Project of LREIS[O88RA20CYA] ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province ; Vilas Associate Award ; University of Wisconsin-Madison |
| WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000504935500014 |
| 出版者 | IWA PUBLISHING |
| 资助机构 | National Natural Science Foundation of China ; Innovation Project of LREIS ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province ; Vilas Associate Award ; University of Wisconsin-Madison |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/131220]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qin, Cheng-Zhi |
| 作者单位 | 1.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Jiangsu, Peoples R China 2.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Hangzhou Dianzi Univ, Smart City Res Ctr, Sch Automat, Hangzhou 310012, Zhejiang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Jingchao,Zhu, A-Xing,Qin, Cheng-Zhi,et al. A knowledge-based method for the automatic determination of hydrological model structures[J]. JOURNAL OF HYDROINFORMATICS,2019,21(6):1163-1178. |
| APA | Jiang, Jingchao,Zhu, A-Xing,Qin, Cheng-Zhi,&Liu, Junzhi.(2019).A knowledge-based method for the automatic determination of hydrological model structures.JOURNAL OF HYDROINFORMATICS,21(6),1163-1178. |
| MLA | Jiang, Jingchao,et al."A knowledge-based method for the automatic determination of hydrological model structures".JOURNAL OF HYDROINFORMATICS 21.6(2019):1163-1178. |
入库方式： OAI收割
来源：地理科学与资源研究所
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