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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tian Yu Lei Xiaohui Li Jie Wang Hao Jiang Yunzhong |
| Copyright Year | 2010 |
| Description | Author affiliation: China Institute of Water Resources and Hydropower Research, Beijing, 100044, China (Lei Xiaohui; Jiang Yunzhong) || School of Software, Tsinghai University, Beijing, 300072, China (Li Jie) || School of Civil Engineering, Tianjin University, 300072, China (Tian Yu; Wang Hao) |
| Abstract | In the past data mining and knowledge discovery, people mainly focused on the study of data mining algorithms, while neglected of research on knowledge expression, quantitative and qualitative transformation. The paper put the quantitative and qualitative characteristics of cloud model into hydrological time series analysis, and the construction method of runoff temporal and spatial distribution based on cloud model is proposed, through the numerical features of cloud model, the characteristics of runoff temporal and spatial distribution able to give in quantity and in quality. Themethod has been applied in the Minjiang watershed, the result has been compared with M-K trend test, is reasonable. In the recent year, droughts and floods have been happened in the upstream of Yangtze River basin including Minjing and other watershed frequently, cloud model able to give quantitative and qualitative water resources assessment, will give suggestive advice for water management. |
| Starting Page | 168 |
| Ending Page | 172 |
| File Size | 1402444 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424455379 |
| e-ISBN | 9781424455409 |
| DOI | 10.1109/ICCSIT.2010.5563700 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clouds Minjiang watershed could model M-K trend test runoff change |
| Content Type | Text |
| Resource Type | Article |
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