Arid
An Ontology-based Integrated Visual Modeling System for Hydrological Forecasting
Huang, Mu-tao1; Tian, Yong2
通讯作者Huang, Mu-tao
会议名称International Conference on Simulation, Modelling and Mathematical Statistics (SMMS)
会议日期NOV 22-23, 2015
会议地点Chiang Mai, THAILAND
英文摘要

Reliable and accurate forecasting of key hydrological variables is of importance for regional water resource planning and management. To tackle the problems of low modeling efficiencies that are encountered in implementation of data-driven models using conventional modeling techniques, this paper presents the design and functionalities of a water resources ontology aided integrated visual modeling system that could be used to establish forecasting models easily and flexibly. The most significant features of integrated visual modeling system prototype are reflected in two aspects: firstly, water resources ontology was employed to address the semantic heterogeneity issues exiting in different data repositories and associate semantic information with data retrieval process. Meanwhile, a visual modeling workbench with standard modeling interfaces was established to facilitate model wrapper, data exchange, modular linking and interactive simulation, thus greatly saving efforts and time to implement fast modeling of the complex, non-linear, and dynamic hydrological process, while hiding the complexity of underline code and no programming is required. The system's feasibility and capability was demonstrated through a case study of one-day ahead streamflow forecasting in Shule River basin located in the arid inland region of northwest China. The encouraging simulation results show that the system can greatly simplify the process of implementing interactive hydrological forecast and appeal in offering a positive prospect of improving the efficiency and robustness of current practice in hydrological modeling.


英文关键词Ontology Visual modeling Data-driven model Hydrological forecasting
来源出版物INTERNATIONAL CONFERENCE ON SIMULATION, MODELLING AND MATHEMATICAL STATISTICS (SMMS 2015)
出版年2015
页码98-104
EISBN978-1-60595-112-6
出版者DESTECH PUBLICATIONS, INC
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000414633600017
WOS类目Computer Science, Theory & Methods ; Mathematics, Applied
WOS研究方向Computer Science ; Mathematics
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/304546
作者单位1.Huazhong Univ Sci & Technol, Coll Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China;
2.South Univ Sci & Technol China, Shenzhen 518055, Peoples R China
推荐引用方式
GB/T 7714
Huang, Mu-tao,Tian, Yong. An Ontology-based Integrated Visual Modeling System for Hydrological Forecasting[C]:DESTECH PUBLICATIONS, INC,2015:98-104.
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